RAW RANKED SITES ABOUT
#SOCIAL MEDIA CONFERENCES

The most comprehensive list of social media conferences websites last updated on Dec 1 2020.
Stats collected from various trackers included with free apps.
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Pubcon Pro – Pubcon Pro Search, Social Media, Marketing Conferences
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eDigital | Australia's Digital Marketing Destination | Strategy | Training | Courses | Social Media | Adwords Services | SEO Consultants | Conferences | Photography · eDigital | Australia's Digital Marketing Destination | Strategy | Social Media | SEO | Tools | Guides | Conferences | Grants | Awards | Photography eDigital | Australia's Digital Marketing Destination | Social Media | Adwords Services | SEO Consultants | Tools | Guides | Courses | Photography
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Higher Education Conferences, Online Courses, Training and Classes - Higher Ed Experts Professional development and online training for higher ed professionals and executives working in web marketing and digital communications for higher education
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Assessment for Learning: Home | Assessment for Learning Assessment for Learning provides teachers with examples of accessible, readily useable and relevant assessment tasks from all learning areas; worksamples, (annotated and unannotated); professional advice and activity related to assessment. Each task includes: Nature of the assessment task; Links to State and Territory curricula; Prior Teaching and Learning; Duration of the task; Teacher preparation; Scaffolding: preparing students for the task; The task; Professional Development; Rubrics and Worksamples. Requires Flash.
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Web Design, SEO, & Social Media Management Firm We are a results-focused digital media business. Our sole purpose is to use our expertise to help your business grow. Our services consist of web design, SEO, and social media management.
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Live social media for events | eventpeeks Eventpeeks offers technologies that drive social media engagement and sponsorship revenues at live events.
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German/English Translations - Marketing, Corporate Communications, PR German/English translator and editor, specialising in marketing, business, corporate communications and public relations translations. Übersetzung und Lektorat
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My Blog | Education services for veterinary professionals Firma świadczy profesjonalne usługi dla lekarzy weterynarii, techników i studentów - konferencje, warsztaty i kursy z różnych dziedzin weterynarii oraz prowadzenia social media. Prowadzimy również stacjonarne i e-learningowe kursy medycznego angielskiego.
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Progress Secretariat | PROGRESS - Foundation For The Promotion Of Global Peace, Human Rights, Environments & Social Services PROGRESS - Foundation For The Promotion Of Global Peace, Human Rights, Environments & Social Services
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Digital Workplace | Intranet, Communication Internet, Collaboratif, RSE - Le Salon de la DIGITAL WORKPLACE, de l''Intranet, de la mobilité du Travail Collaboratif & du RSE - 17*, 18 & 19 mars 2020 - Paris Porte de Versailles - Pavillon 4.2 L’intranet social / collaboratif, la Digital Workplace et les Réseaux Sociaux d''Entreprise au service de la Stratégie et de la Performance
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Zulfikar Abbany - journalist writer speaker music maker An archive of articles, videos and audio by Zulfikar Abbany. I''m a journalist, broadcaster, public speaker (panels, press conferences, opening ceremonies), and music maker.
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The best explainer videos, animation videos, live videos, 3D and more Mazur Studios offers the best videos for your marketing needs, conferences, website, social media, presentations and more, to all businesses, big and small.
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Global Insight Conferences Global Insight Conferences, Events, PR, Social Media, Marketing, Communications, Digital
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Society for Music Perception and Cognition Welcome to The Society for Music Perception and Cognition (SMPC), a scholarly organization dedicated to the study of music cognition. Use our website to learn about this rapidly growing field, including information on conferences, multimedia, programs and student opportunities.
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Blogs Connecting Africa to the world.... Get paid to be active on forums, groups, pages, blogs, articles, posts and businesses. Connect, Socialize & Showcase Your Businesses & Talents Free Profiles, Create Groups, Pages, Post Articles & Get Instant Views From Useful Business Contacts &...
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Absolook - Zaměřeno na výsledek! Komunikační agentura s osobním přístupem. Uvádíme na trh značky, produkty, realizujeme kampaně jako součást integrovaného marketingového mixu s měřitelnými výsledky.
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that wilson thing | communication : reputation : leadership : change Speaking and Media Comment An experienced public speaker, I regularly speak at conferences, events and awards.   Main topics include: public relations, reputation, leadership, organisational culture, social media and gender in the workplace. You can find out more at Specialist Speakers. Writing I comment on public relations and reputation for marketing and media magazine The Drum…
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Buzznation - Marketing & Events Technology Services Company At Buzznation, we believe in bringing fresh ideas to the fore and a zero-distance attitude that closes all gaps in the service provided. With our cutting-edge solutions in lead generation, database management, content development and marketing, backed up by a team with more than 40 years of accumulated experience, we empower sales teams to optimize their marketing assets for better outreach, outcomes and better ROI.
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Wedding Videos & Photo, Web Design - Milwaukee, Waukesha, WI - J.C. Designs J.C. Designs specializes in wedding videos and photos, photography, video production, web design, graphic design for the Waukesha, Milwaukee, Madison, Green Bay, Appleton and Oshkosh areas. Contact us for info on wedding videos, wedding photo, web design, graphic design and other photo and video production services.
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Home | CIOP 2019 CIO events, executive events, executive programs, CIO magazine, CIO Executive Council, IT leadership, analytics, big data, mobile, cloud, Virtualization, application management, digital enterprise, business transformation, advisory board, Digital, social, social media, innovation, CIO 100, IT decision-makers, CIO Perspectives, technology innovation, CIO, CSO, CTO, CMO, CXO, C-suite collaboration, thought leadership, face-to-face conferences, events, IT security, security, IT Executive Conferences, SMAC
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Dave Linabury - Branding, Strategy, UX, social media and how marketers screw them up. Branding, Strategy, UX, social media and how marketers screw them up.
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Architecture and Education – On the design of school spaces and their uses… A blog to promote conversation about school space and architecture. Posts on school design and interviews with teachers, architects, students, educationalists.
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AfricaResource: The Place for Africa on the Net AfricaResource, a gateway to resources, is an educational portal that develops and distributes content on Africa and African Diaspora. We publish peer-reviewed journals--Jenda, WAR, ProudFlesh, Ijele, African Philosophy, bibliographies, profiles of personalities, poetry, autobiographies, essays, short stories, and much more. The newly revamped AfricaResource is chock full of features: image database of prominent and emerging African and African Diasporan artworks, digital library, digital media, conference system, journal management system, African professional, job portal, online store-ojedi, digital download, and social networking features such as forum, multi-user blog system, community builder, photo gallery, directory listing system, private message system, and site-wide search function.
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Beyond Bylines | Covering the Intersection of Journalism, Emerging Media and Blogging Covering the Intersection of Journalism, Emerging Media and Blogging
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Energy Efficiency is connected ⚙ Energy Efficiency in Industrial Processes ⚙ EEIP is a free, neutral, and open, business and policy network for the industrial energy efficiency. As a decentralized platform, everybody can connect to EEIP wherever and however they want: from website to social media, from newsletter to magazines, from conferences to webinars. Our network members are coming from organisations of all sizes, all industrial sectors and covering both, the supply and demand side. EEIP uses communications, engagement and best practice exchange to enable industry and policy to achieve higher energy efficiency and sustainable manufacturing, while, at the same time, enhancing competitiveness for industries - in other words - improving the functioning of energy efficiency markets
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Laura Berg Inc. Professional Speaker Laura Berg is a professional speaker on all things business. She has grown her brand into an international sensation using social media, specifically You Tube. She\\'s been noted as one of the top Mom Entrepreneurs along side J.K. Rowling and Paula Dean. She speaks at business, entrepreneurial, marketing and social media conferences around the globe.
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ONLINE MOBILE - LE SALON DES NOUVEAUX USAGES ET TECHNOLOGIES DU WEB ET DU MOBILE - - Paris Porte de Versailles Pavillon 4.2 Salon Online Mobile - Manifestation totalement dédiée au monde du développement et de la diffusion d’applications et de sites mobiles, des services Online, M-commerce, géolocalisation, m-paiement, m-pub, du M-CRM, digital marketing, street marketing, des terminaux mobiles, smartphones, tablettes, e-book, GPS, de la promotion et de l''utilisation des applications mobiles pour smartphones, tablettes tactiles et notebooks.
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eDigital | Australia's Digital Marketing Destination | Strategy | Training | Courses | Social Media | Adwords Services | SEO Consultants | Conferences | Photography · eDigital | Australia's Digital Marketing Destination | Strategy | Social Media | SEO | Tools | Guides | Conferences | Grants | Awards | Photography eDigital | Australia's Digital Marketing Destination | Social Media | Adwords Services | SEO Consultants | Tools | Guides | Courses | Photography
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The Launch.it Blog Our thoughts on PR, the event industry, social media, startups, funding, entrepreneurship and every new product, service and idea! Publish your news today for free at www.Launch.it  The Launch.it...
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Patrick Schwerdtfeger - Motivational Keynote Speaker TEDx speaker Patrick Schwerdtfeger is a leading authority on global business trends including big data, social media and self-employment.
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Landmark Personal approach with proven results, adding value and managing overall branding services in the areas of public relations, event management and social media
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Pubcon Pro – Pubcon Pro Search, Social Media, Marketing Conferences
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Knowledge Steez | conferences , seminars, scholarships , jobs , Internships, For Students Started in the year 2012, Knowledge Steez has walked past several milestones since then. The idea was to create a website where not even the law students but also a student from social sciences stream and remotely located law college, can look for academic and career opportunities.  To introduce, Knowledge Steez is our effort to…
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WordofMouth.org | We teach word of mouth marketing. WordofMouth.org is where you\\'ll learn to get people talking about your company, cause, or idea. You\\'ll love our free videos, articles, and case studies -- all filled with practical, how-to advice.
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Word of Mouth Marketing: How Smart Companies Get People Talking Learn how to get people talking about your business, your art, or your cause with this New York Times bestseller.
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Social wall & Tweet wall tool for event and conference - LiveTweetApp - LiveTweetApp Search, moderate and display tweets as a Twitter Wall. Make your events go social.
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Impactiv8 | Digital Marketing Agency for Small Business | Melbourne Impactiv8 is a leading, Digital Marketing and Training Agency. We can help our clients sell out their workshops, fill up their conferences and launch their online courses through Social Media, Facebook Advertising, Email Marketing and more.
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Higher Education Conferences, Online Courses, Training and Classes - Higher Ed Experts Professional development and online training for higher ed professionals and executives working in web marketing and digital communications for higher education
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Welcome to Bookme.win Connect, Socialize & Showcase Your Businesses & Talents Free Profiles, Create Groups, Pages, Post Articles & Get Instant Views From Useful Business Contacts & Locate Targeted Business Partners & Prospects While Associating With Family & Friends From Around The World in The...
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Fokke Zandbergen Developer Advocate at The Things Network ☁ and before that at Appcelerator ⭐ Always looking for something new to master, improve and share!
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The Christian Social Network in 22 languages - CROSS.TV CROSS TV the Christian Social Network in 22 languages is a place to connect with believers worldwide, find churches and non-profits, and watch sermons, christian music videos, movies, conferences and live-streams from around the world. Over 100,000 videos, TV-Shows and live-events. Over half a million users.
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Welcome to Bookme.win Connect, Socialize & Showcase Your Businesses & Talents Free Profiles, Create Groups, Pages, Post Articles & Get Instant Views From Useful Business Contacts & Locate Targeted Business Partners & Prospects While Associating With Family & Friends From Around The World in The...
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Miami Video Production Company | Corporate | Miami & Orlando | Florida Top Video Production Company for Marketing, Web & Social Media, Training, Conferences, Testimonials, Medical Video. Miami, Fort Lauderdale, Orlando. Call Us
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The Christian Social Network in 22 languages - CROSS.TV CROSS TV the Christian Social Network in 22 languages is a place to connect with believers worldwide, find churches and non-profits, and watch sermons, christian music videos, movies, conferences and live-streams from around the world. Over 100,000 videos, TV-Shows and live-events. Over half a million users.
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The Future of Work Revealed | TotalPicture Radio | Podcast Career Advice and Leadership Development The TotalPicture Podcast is an on-demand talk radio show designed to help accelerate your career by connecting you to leaders in talent acquisition, recruiting, HR and TA tech. Host Peter Clayton attends many important industry conferences to bring you current trends, critical information and insights. Our goal is to help you achieve breakthrough success.
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Katherine R. Willson – Social Media Genealogy Katherine R. Willson of Ann Arbor, Michigan is an engaging & dynamic genealogy lecturer at local, regional and national conferences; an educator teaching beginning, intermediate, and advanced genealogy classes in Michigan since 2001; the author of The Genealogist’s Guide to Grand Rapids, Michigan (published in 2018 by The In-Depth Genealogist), and a professional researcher for…
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Prototype | Prototyping Your Future / HCI IxD Any large organisation, be it public or private, monitors the media for information to keep abreast of developments in their field of interest, and usually also to become aware of positive or negative opinions expressed towards them. At least for the written media, computer programs have become very efficient at helping the human analysts significantly in their monitoring task by gathering media reports, analysing them, detecting trends and – in some cases – even to issue early warnings. We present here trend recognition-related functionality of the Europe Media Monitor (EMM) system, which was developed by the European Commission's Joint Research Centre (JRC) for public administrations in the European Union (EU) and beyond. EMM performs large-scale media analysis in up to seventy languages and recognises various types of trends, some of them combining information from news articles written in different languages. EMM also lets users explore the huge amount of multilingual media data through interactive maps and graphs, allowing them to examine the data from various view points and according to multiple criteria. A lot of EMM's functionality is accessibly freely over the internet or via apps for hand-held devices. Introduction Automated Content Analysis (ACA) is likely to be more limited than human intelligence for tasks such as evaluating the relevance of information for a certain purpose, or such as drawing high-level conclusions. Computer programs are also error-prone because human language is inherently ambiguous and text often only makes sense when the meaning of words and sentences is combined with the fundamental world knowledge only people have. However, computers have the advantage that they can easily process more data in a day than a person can read in a life time. Computer programs are particular useful in application areas with a time component, such as monitoring the live printed online media, because they can ingest the latest news articles as soon as they get published and they can detect changes and recognise and visualise trends. Due to the amount of textual information they can process, computer programs can be used to gain a wider view based on more empirical evidence. These features make ACA applications powerful tools to complement human intelligence. At least for the written media, the manual paper clipping process of the past – cutting out newspaper articles and combining them into a customised in-house news digest – has to a large extent been replaced by automatic systems. Computers can take over repetitive work such as gathering media reports automatically, categorising them according to multiple categories, grouping related documents, recognising references to persons, organisations and locations in them, etc. Using this filtered and pre-processed data, human analysts can then focus on the more demanding tasks of evaluating the data, selecting the most relevant information and drawing conclusions. The work of analysts will be more efficient if the computer programs can extract more information and the more high-level information they can recognise. Trend recognition is deemed particularly useful as it partially summarises events and it may help users detect hidden developments that can only be seen from a bird's perspective, i.e. by viewing very large amounts of data. Trend visualisations may serve as early warning tools, e.g. when certain keywords are suddenly found frequently or when any combination of other text features suddenly changes, compared to the usual average background. Trend prediction would then be the next logical step: based on regular historical observations specifically co-occurring with certain trends, it should be possible to predict certain trends when the same feature combinations occur again. Such an effort was described by O'Brien (2002) for the challenging domain of conflict and instability. A major challenge for complex subject domains such as societal conflict or war is that the data needed for making a reliable prediction may simply not exist and/or that some specific factors may decide on whether or not a conflict arises, factors that lie outside the realm of statistical analysis (e.g. the sudden sickness or death of a political leader). In any case, features for predictions should probably include data that can only be found outside the document corpus, such as statistical indicators on the economy and on the society (More REFS). The main disciplines contributing to ACA are called computational linguistics, natural language processing, language engineering or text mining. In recent years, this field has made a leap forward due to insights and methods developed in statistics and in machine learning, and of course due to the strong increase of computer power, the availability of large collections of machine-readable documents and the existence of the internet. In Section 2, we will give an overview of EMM, its functionality and its users. We will particularly point out the usefulness of aggregating information derived from the news in many different languages, which has the advantage of reducing any national bias and of benefitting from information complementarity observed in media sources written in different languages. In Section 3, we will then present a variety of trend presentations and data visualisation techniques used in EMM. These include time series graphs using numbers of articles on a certain subject, the usage of automatically extracted information on named entities mentioned in any selection of news, map representations combining geographical and subject domain information, opinion trends, graphs comparing information derived from the social media with that from the online version of printed media, and more. In Section 4, we summarise the benefits of automatic media monitoring, not without pointing out limitations of ACA and the potential dangers of relying on automatically derived information based on large volumes of textual data. Europe Media Monitor (EMM) A brief Overview 2.1 Overview Europe Media Monitor (EMM) stands for a whole family of media gathering and analysis applications, including NewsBrief, NewsExplorer, the Medical Information System MedISys, BlogBrief, NewsDesk and more (Steinberger et al. 2009). EMM was entirely developed at the JRC. While the main users are the EU institutions and the national authorities of the 28 EU member states, EMM was also made accessible to international organisations (e.g. various United Nations sub-organisations, the African Union and the Organisation of American States) and to the national authorities of selected partner countries of the EU. The first version of NewsBrief came online in 2002 while NewsExplorer came in 2004, but both systems processed smaller volumes of news and they had less functionality. EMM currently gathers a daily average of about 220,000 online news articles per day in seventy languages from approximately 4,000 different web sources (status May 2015). The news sources were manually selected with the purpose to represent the major newspapers of all countries in the world and to include European-language news (especially English) from around the world. For reasons of balance, it was decided not to include all easily accessible news sources, but to monitor a comparable number of news sources per country, with a focus on Europe. EMM additionally processes news feeds from over twenty press agencies. It visits news-like websites such as governmental and non-governmental web pages and it monitors social media such as Twitter, FaceBook and selected blog sites. The public versions of EMM do not show commercially acquired documents and usually have less functionality than the EC-internal versions. Separately for each language, the news articles then undergo a series of processing steps, including language recognition, document duplicate detection, Named Entity Recognition (NER) for persons, organisations and locations, quotation extraction, sentiment/tonality analysis, categorisation into one or more of the over 1,000 different subject domain classes. EMM then clusters related articles into groups, which allows users to examine the load of articles in an organised fashion. The different EMM applications provide different functionality, described in the next section. Family of EMM news monitoring applications NewsBrief (Figure 1) is the most widely used system. It provides users with near-real-time information on their field of interest in all seventy languages. Separately for each language, news gathered within a sliding four-hour window (8 hours for some languages) are clustered, but older articles remain linked to the cluster as long as new articles arrive. For each cluster, automatically extracted meta-information such as named entities and quotations are displayed. Continuously updated graphs show the ten currently largest clusters and their development over time. By clicking on any of the clusters, users can see the list of all articles and click on each article to read the entire text on the website where it was originally found. For fourteen languages, an automatically pre-generated translation into English is available. For event types with relevance to health, safety and security, NewsBrief also displays automatically extracted event information (eight languages only), including the event type, location and time of the event, number and type of victims (dead, injured, infected), and – where this was mentioned – the perpetrator (the person or group inflicting the damage). The limitation of the event types is due to the user groups, which are mostly concerned with providing support in case of disasters, epidemics, etc. NewsBrief offers subscriptions for automatic updates per category by email, for institutional users also via SMS. BlogBrief provides the same functionality as NewsBrief, but instead of news, it processes English language blogs by bloggers who have been hand-selected due to their importance or impact (e.g. politicians and journalists). MedISys is rather similar to NewsBrief, except that all its content categories are related to issues that are relevant for Public Health monitoring. Its news categories include all major communicable diseases and other Chemical, Biological, Radiological or Nuclear (CBRN) dangers, symptoms, as well as subjects of scientific or societal value such as vaccinations and genetically modified organisms. NewsExplorer provides a more long-term view of the news (in 21 languages only) and it provides a cross-lingual functionality. Rather than displaying and grouping the current news, NewsExplorer clusters the news of a whole calendar day and displays the clusters ordered by size. For each cluster, hyperlinks lead users to the equivalent news clusters in any of the other twenty languages (where applicable) and to historically related news. NewsExplorer also includes hundreds of thousands of entity pages (persons, organisations and more), where historically gathered information on each entity is aggregated and displayed, including name variants, titles, clusters and quotes where the entity was mentioned, quotes issued by that person, other entities frequently mentioned together with this entity, and more (see Figure 2). NewsDesk is a tool for human moderation. It allows media monitoring professionals to view and select the automatically pre-processed news data and to easily create readily formatted in-house newsletters. EMM Apps for mobile devices such as iOS and Android phones and tablets first became publicly and freely available in 2013 (See Figure 3). Due to the personal nature of such devices, it became first possible to display customised starting pages for each user. For the iOS EMM App alone, about 26,000 downloads were recorded up to May 2015. This customisable version of EMM became very popular so that this functionality was implemented in a new web version of EMM, called MyNews (see below). The EMM App uses a whole new concept and way to interact with EMM Metadata, referred to as Channels. A channel is a stream of EMM articles that all share the same metadata: Channels can be (a) any News Category, (b) the Top 20 Stories in a particular language, (c) a Country/Category combination, (d) an entity recognised by EMM or (e) a search in the full-text index. Users can create such channels for themselves and they can group channels into sets, allowing them to browse freely between channels in any of these sets. When users open a channel, they get access to all the articles that are present in the channel at the time, plus the other metadata that EMM has identified and associated to that channel. Users can of course also browse the attached meta-data, turn them into new channels and pin them to the current set. Crisis management tools and products have been found to be challenging to design and produce due to the complexity of dynamic customisable data-sets defined by each individual user. The main problems in designing such tools are ambiguity, multi-platform support, data representation and other pitfalls commonly seen in mobile technology development. We adhere to a model-based methodology focusing on core functionality and logical interactions with the data-set, user-centric design and data visualisation while supporting other development activities including a requirement analysis for a wide set of devices and operating systems, verification and validation. The result of the development cycle is a layout structure in which a wide scale of EMM crisis management tools has been developed. There are many digital solutions aiming to support humanitarian and emergency response tools by means of open source information gathering and text analysis. A strong trend among those tools is the ability to detect and analyse vast amounts of data, highlighting important developments relevant to each user and use. Many solutions are already operational today, the majority of these solutions requires the user to open a webpage a few times every day to get updated. Other solutions are relying on communicating with external servers, which is expensive and demanding in maintenance. They additionally usually require user authentication, which can compromise privacy and security. Our own solution allows custom notifications based on changes in the specific data set the user has defined. When a logical threshold is activated the system displays a notification directly on the user's mobile device. By merging our notifications with the core system notification system of the mobile device, we alert the user only when it is appropriate. For example, notification will wait silently when the user is asleep and will schedule the notifications to be presented a few minutes after the user has started using the device. This is being done without any user intervention or pre-settings. This novel solution differentiates itself from most notification solutions in the fact that it does not rely on any server side technology. The application itself calculates when and how notifications are presented to the user based on an internal logic crossed with background fetching of the current total data set. MyNews is the first customisable web interface to the news items supplied by the EMM engine designed for desktop browsers. It only became available in 2015. It requires logging in and is only available in-house, i.e. it is not accessible to the wider public. MyNews is highly customisable, since it allows users to define their own specific view by selecting the topics they are most interested in. This is achieved – similarly to the EMM mobile apps – by allowing users to tune news channels focused on very specific topics. They can create as many channels as they like, and they can organise them into sets (see Figure 4). There are many different ways to create new channels, which increases greatly the flexibility of the tool, combining as a union or as an intersection of article selections based on (a) text language, (b) news categories, (c) entities, (d) news from a certain country or (e) news about a certain country, (f) top stories (i.e. the biggest clusters of news talking about the same event) or (g) freely chosen search words. When visualising the contents of any of the channels, the meta-data relating specifically to this selection of news is displayed visually (see Figure 5). The Big Screen App, available since 2014, offers a view of EMM that is visible on large screens in central locations at user organisations. It shows a revolving and continuously updated view of what is happening around the world, targeted to the respective user communities, using text, maps and graphs. Citizens and Science (CAS) is a project that aims to gauge the relative importance of reporting on Science & Technology (S&T) in traditional and social media. It does this by comparing the reporting volume from a number of European Nations and the USA of items that correspond to a number of predefined S&T categories. The sources of these items are taken from the traditional online news media, public posts from FaceBook and tweets from Twitter. CAS allows investigating the relative dominance of certain themes across different media (traditional vs. social), languages and countries and it can help find empirical evidence of biased reporting (see Figure 6; more detail in Section 3.2). Details on ingested news, sources, numbers, geographical distribution Event extraction Multilinguality in EMM Multilinguality is an extremely important feature in this news monitoring application. Covering so many languages is not only important because the European Union consists of 28 Member States with 24 official EU languages. The coverage of news in 70 different languages is also due to the insight that news reporting is complementary across different countries and languages, both regarding the contents and the opinions expressed in the media. By gathering and analysing different languages, EMM reduces any national or regional bias and it increases the coverage of events and of opinions. While major world events such as large-scale disasters, major sports events, wars and meetings of world leaders are usually also reported in English, there is ample evidence that only a minority of the smaller events is reported on in the press outside the country where the event happens. Many EMM users have specialised interests such as the monitoring of events that may have negative effects on Public Health (e.g. disease outbreaks, reports on food poisoning, lack of access to medicines) or on the stability or welfare of a country (e.g. clashes between ethnic groups, accidents, crime). An analysis has shown that the vast majority of such events is not translated or reported abroad (Piskorski et al. 2011 – PROVIDE DETAILED NUMBERS). The links between related clusters across different languages in NewsExplorer show that only some of the news items in each country or language have an equivalent in other languages while the majority of news clusters talk about subjects of national interest. Figure 7, taken from the live EMM news cluster world map, also gives evidence of the uneven distribution of language reporting for locations on the globe: News mentioning locations in Latin America are mostly reported in Spanish and Portuguese; there is little news on Russia and China that is not written in Russian or Chinese, respectively, etc. Only by combining the world news in all different languages do we get a fuller picture of what is happening . Trend observation and distribution statistics in EMM In this section, we want to give some concrete examples of trend monitoring, as well as of bird's views of large amounts of media data giving insights in the relative distribution of news contents. The selection of examples shown here is based on wanting to present different visualisation principles or types, but it is naturally also driven by the interests of EMM users. Since EMM monitors in near-real time (time stamp) large amounts of media reports from around the world and it keeps track of the information (e.g. news provenance, news source, publication language, URL, media type, time of publication, etc.) and it additionally extracts categories and features (e.g. subject domain; number of related articles; names of persons, organisations and locations; sentiment; combinations of features; average values, etc.), it is in principle possible to produce and visualise statistics on any feature or feature combination. This can be done for a specific point in time (most EMM users are interested in now), it can be done for any moment back in time, it is possible to compare current values to average values, and it is possible to perform a time series analysis, i.e. it is possible to show any change over time. Note, however, that, while all such meta-data extracted by EMM can be stored, the original full text of the news has to be deleted after the analysis, for copyright reasons. Users will thus be able to see the meta data and a snippet of the news text (title and the first few words), but if they want to see the full text, they have to follow the hyperlink provided. Whether or not the full text is still accessible then depends on the news source. In the following sub-sections, we will present some types of trend observations and visual presentations of distribution statistics. Bar graphs and pie charts The simplest and probably clearest way of presenting static data is achieved using bar graphs and pie charts. Figure 5 shows three different bar charts to visualise different aspects for the same selection of news documents (provenance of the news, countries mentioned in the articles, and subject domains/entities referred to). These charts give the reader an overview of the whole collection of documents and it thus helps them evaluate and categorise the contents before reading them in detail. Figure 7b shows the language distribution of a multilingual set of European news articles talking on the subject of Science & Technology and comparing it with the language distribution in all articles covering the same time period. It is immediately visible that English and Polish language articles (left) are over-proportionally talking about S&T, while German and French S&T articles are under-represented, compared to the average. Maps visualising geographical distributions Map views are rather popular and intuitive. Figure 5 shows an aggregated map view (number of articles per continent/country/region, depending on the zoom level) while Figure 7 shows all news clusters (or those in a selection of languages). Many types of map data are available, allowing to combine any EMM information with third-party information, as seen in Figure 8 . Any map data in EMM is hyperlinked to the underlying news articles together with the extracted meta-information so that users can verify the contents and read the underlying news sources. Trend graphs Trend graphs show a simple correlation between at least two variables, of which one is time. Typically, they take the shape of line graphs or bar graphs where one axis represents time. Figure 1 shows the size (number of news articles) of the ten largest English language news clusters and their development over the past 12 hours, with a ten-minute resolution (update frequency). The interactive graph clearly shows which stories are most discussed. By hovering with the mouse over any of the points, the most typical news article header of that moment in time is shown so that users can get informed of the development of that story. The system decides on the most typical article header statistically by selecting the medoid, i.e. the document that is closest to the centroid of the vector. By clicking on any of the curves, a new page will open showing the articles that are part of that cluster plus all meta-information available to the system. This graph thus shows ten trend lines in one graph, for the sake of comparison. Similarly, Figure 6 visualises the numbers of news articles and of Social Media postings over time on four science areas. The graph shows longer-term developments. The chosen resolution is one day. For each of the four science areas, two trend curves are displayed to facilitate the visual understanding of the relative long-term development. Such graphs can be rather revealing. For instance, Figure 9 compares Science & Technology reporting in Europe and in the US. For better comparison, the numbers have been normalised: the x-axis shows the percentage of S&T articles compared to all articles, instead of absolute numbers. This graph reveals that the intensity of reporting on S&T in Europe lags behind that observed in US-American media (0.5% of all articles in all languages in the EU vs. 2.8% in the USA report about S&T). Comparing only English language articles in predominantly English-speaking countries (UK and Ireland in Europe; graph not shown here) with the English language articles in the USA, the difference is smaller, but it still notable (1.5% of articles in the UK and in Ireland vs. 3.2% in the USA). To put these numbers into perspective: the reporting on the reference categories Conflict, Ecology, Society and Sports, considering only the English language, was respectively 2.56%, 0.14%, 0.59% and 5.46% for the USA and 1.93%, 0.09%, 0.45% and 6.63% for the EU. This means that the reporting on S&T issues does not fall far behind the reporting on Sports in the USA, but in Europe reporting on Sports is 4 times more than on S&T issues. Note that, in EMM, sports articles are additionally only taken from general news streams because EMM does not scan sports pages of news sites. Looking in detail at a specific topic such as Space, we observe that there is a very strong correlation between the peaks, but the volumes are much smaller in the UK and Ireland, compared to the USA (See Figure 9). Other than a weak correlation between product announcements in the media and on twitter, we have not observed a clear media-driven discussion on the social media, i.e. we have not been able to establish any correlation between media reports and the user-driven content. Such data is a good starting point for the work of social scientists, who can then search for an interpretation and for explanations. Economists and politicians may then think of possible remedies (if needed and wanted). Figure 10 shows the interactive long-term news story timeline produced in EMM-NewsExplorer. The graph shows the number of news articles per day in the daily news clusters about the same event or subject. By hovering over any of the bars, the news cluster title is displayed so that users can explore what happened that day. By clicking on that day, the users are taken to the page with information on that day's news cluster in order to read the articles, see the related meta-information and follow hyperlinks to related reports in other languages. The graph allows exploring developments over longer periods of time and refreshing one's memory on what happened when. Figure 11 shows the development of positive or negative tonality (or sentiment) measured in English and French news articles, using a one-week resolution. Early warning graphs Figure 8 visualises results on the most recent events of a certain type, allowing stakeholders to become aware of the latest developments, to deepen their understanding of what happened (by reading the related news articles) and to take action, if needed. Another type of early warning is achieved with statistical means, as shown at the top of Figure 10, taken from EMM's Medical Information System MedISys. The graph called daily alert statistics shows the currently biggest threats world-wide, with decreasing relevance from left to right (the red threats are the ones with the highest alert levels). MedISys counts the number of articles in the last 24 hours for any country-threat combination (e.g. tuberculosis and Poland) and compares it to the two-week average count for this same combination. This ratio is then normalised by the number of articles for different days of the week (there are less articles on the weekend). The alert statistics graph then shows the results of all calculations, ranked by the value of this ratio . Note that the ratio is entirely independent of the absolute numbers as it rather measures the unexpectedness. Each country-threat combination is shown in two columns: the left one (light blue) shows the observed number of articles while the right one (red, yellow or blue) shows the expected two-week average. An important feature of this graph and of MedISys/EMM as a whole is that this alert is language-independent. The same categories for countries and for threats exist for (almost) all EMM languages, meaning that the articles may be found in one language only (e.g. Polish or Arabic), which often is different from the languages spoken by the MedISys user. The graph is interactive: Users can click on any of the bars to jump to a new page where all relevant articles for this country-threat combination are displayed, together with a heat map and a trend line showing the development over the past 14 days. The Spain-legionellosis threat combination in Figure 10 no longer is a top threat as it had already been reported on for four days. Further graph types used in EMM Figure 11 shows a node graph visualising co-occurrence relations between people. For each person, the 100 most associated entities (persons or organisations) are displayed. The subset of common entities is highlighted in red. The graph is interactive: by clicking on any of the entity nodes, they jump to a page with the news mentioning that entity and displaying all automatically extracted meta-information (e.g. Figure 2), or to the Wikipedia page for that entity. Further entities can be added to the same graph. EMM-NewsExplorer produces the correlation data by counting which entities are mentioned together with which other entities in the same news items. In order to suppress media VIPs such as the US president from the purely frequency-based correlation lists (called 'related entities' in NewsExplorer), a weighting formula is used that brings those entities to the top that are mostly mentioned together with this person and not so much with other persons. The data, referred to in NewsExplorer as 'associated entities', is produced on the basis of mention co-occurrence in the news in 21 different languages, i.e. it is less biased by the reporting language than data produced by a monolingual media monitoring system. EMM recognises direct speech quotations in the news in about twenty different languages and keeps track of who issued the quotation and who is mentioned inside the quotation. Figure 12 shows a quotation network indicating who mentions whom (arrows). Persons most referred to are automatically placed closer to the centre of the graph. During the 2007 presidential elections in France, it was observed that Nicolas Sarkozy, who was the winner of the elections, was consistently more central than his opponent Ségolène Royal. Quotation networks are no longer used in EMM. The same applies to topic maps, which display the most prominent subject matters referred to in a document collection. The topics are grouped into islands of relatedness (using a method known as Kohonen Maps). The more prominent a group of topics is in the collection, the higher the mountains on the island, with peaks being snow-covered. Summary and conclusions, pitfalls Computers have the ability to sieve through large volumes of data in little time and the technologies required for Automated Content Analysis (ACA) have matured to a level where automatically produced results can be useful for the human analyst. We have argued that a man-machine collaboration for the analysis of large volumes of media reports will produce best results because people and computers have complementary strengths. We have presented the main functionality of the European Commission's family of Europe Media Monitor (EMM) applications, which currently gathers an average of 220,000 online news articles per day from about 5,000 online news sources in seventy languages (and also from social media postings about certain themes), categorises the news into about 2,000 different categories, groups related articles, extracts various types of information from them, links related articles over time and across languages and presents the analysis results in a variety of ways to the human end user. Moderation tools support the users in viewing the data, in selecting and amending it and in producing in-house newsletters for the information-seeking decision takers. Monitoring not only English or some widely spoken languages is important in order to avoid bias and also because the news is complementary across languages, both for contents and for the sentiment contained therein. Automatic tools that process and analyse documents turn unstructured information into a structured format that can easily be processed by machines and that also provides useful data for the human user. This results in a data collection, where for each article, we know the news source, the country of origin, the language, the timestamp of the publication, the news categories, the persons, organisations and locations mentioned therein, related articles within the same and across different languages, quotations by and about persons. Additionally, we have data about trends, i.e. whether news related to the same event or subject are increasing or decreasing in numbers over time, and there is some information on sentiment/tonality. This structured collection makes it in principle possible to produce any statistics and to establish any trends related to these types of information. For selected subjects and feature combinations, the JRC regularly publishes its analysis, allowing EMM users to have a deeper insight into the publications on subject areas of their interest. In this article, we presented a range of different types of analyses and visualisations in order to give an overview of distributions and trends observed during large-scale media analysis. Such an extraction and aggregation of data is not usually the final objective, but it normally is the starting point for an intellectual human analysis. Analysts can get inspired by the data, questions may arise, suspicions may get confirmed or contradicted. Used carefully, we believe that the analyses produced by EMM or similar systems can be very useful because they may be used as an inspiration and as empirical evidence for any argument human analysts may want to make. However, we find it extremely important that users be aware of the limitations and of possible pitfalls when using such data, be it from EMM or from other automatic systems: First of all, media monitoring is not reality monitoring. What the media say is not necessarily factually true and media attention towards certain subjects usually differs from the real-life distribution of facts or events, giving media consumers a biased view. Media reporting is heavily influenced by the political or geographical viewpoint of the news source. It is therefore useful to analyse a large, well-balanced set of media sources coming from many different countries world-wide. EMM aims to reach such a balance, but sources are also added on request of users, it is not always known what political standpoints newspapers have, and not all news sources are freely accessible. For this reason, EMM displays the list of media sources so that users can form their own opinion. Any analysis, be it automatic or man-made, is error-prone. This is even true for basic functionalities such as the recognition of person names in documents and the categorisation of texts according to subject domains. Machines might make simple mistakes easily spottable by human analysts, such as categorising an article as being about the outbreak of communicable diseases when category-defining words such as tuberculosis are found in articles discussing a new song produced by a famous music producer, which is easily spottable by a person. On the other hand, machines are better at going through very large document collections and they are very consistent in their categorisation while people suffer from inconsistency and they tend to generalise on the basis of the small document collection they have read. For these reasons, it is crucial that any summaries, trend visualisations or other analyses can be verified by the human analysts. Users should be able to verify the data by drilling down, e.g. viewing the original text data in the case of peaks or unexpected developments, and especially to get an intuitive confidence measure by viewing a number of cases that lead to conclusions. Most of EMM's graphs are interactive and allow viewing the underlying data. It would be useful if system providers additionally offered confidence values regarding the accuracy of their analyses. For EMM, most specialised applications on individual information extraction tools include such tool evaluation results and an error analysis (e.g. XXX-REF). However, the tools can behave very differently depending on the text type and the language, making the availability of drill-down functionality indispensable. End users should be careful with accuracy statistics given by system providers. Especially commercial vendors (but not only) are good at presenting their systems in a very positive light. For instance, our experience has shown that, especially in the field of sentiment analysis (opinion mining, tonality), high accuracy is difficult to achieve even when the statistical accuracy measurement Precision and Recall are high. Overall Precision (accuracy for the system's predictions) may for instance indeed be high when considering predictions for positive, negative and neutral sentiment, but this might simply be because the majority class (e.g. neutral) is very large and the system is good at spotting this. Accuracy statistics may also have been produced on an easy-to-analyse dataset while the data at hand may be harder to analyse. Sentiment, for instance, may be easier to detect on product review pages on vending sites such as Amazon than on the news because journalists tend to want to give the impression of neutrality. Machine learning approaches to text analysis are particularly promising because computers are good at optimising evidence and because machine learning tools are cheap to produce, compared to man-made rules. However, the danger is that the automatically learnt rules are applied to texts that are different from the training data as comparable data rarely exists. Manually produced rules might be easier to tune and to adapt. Again, statistics on the performance of automatic tools should be considered with care. Within EMM, machine learning is used to learn vocabulary and recognition patterns, but these are then usually manually verified and generalised (e.g. Zavarella et al. 2010; Tanev & Magnini 2008). To summarise: we firmly believe that Automated Content Analysis works when it is used with care and when its strengths and limits are known. Computers and people have different strengths which – in combination – can be very powerful as they combine large-scale evidence gathering with the intelligence of human judgement. References Atkinson M, Keim D, Schaefer M, Franz W, Leitner-Fischer F, Zintgraf F. (2010). DYNEVI - DYnamic News Entity VIsualization. In: J.Kohlhammer, D.Keim (eds). Proceedings of the International Symposium on Visual Analytics Science and Technology. Golsar (Germany): The Eurographics Association. pp. 69-74 . Atkinson Martin, Jakub Piskorski, Erik van der Goot & Roman Yangarber (2011). Multilingual Real-Time Event Extraction for Border Security Intelligence Gathering. In: U. Kock Wiil (ed.) Counterterrorism and Open Source Intelligence. Springer Lecture Notes in Social Networks, Vol. 2, 1st Edition, 2011, ISBN: 978-3-7091-0387-6, pp 355-390. Atkinson Martin, Jakub Piskorski, Hristo Tanev, Roman Yangarber & Vanni Zavarella. Techniques for Multilingual Security-related Event Extraction from Online News. In: Przepiórkowski Adam et al. Computational Linguistics Applications, pp. 163-186. Springer-Verlag, Berlin, 2013. Atkinson Martin, Jenya Belayeva, Vanni Zavarella, Jakub Piskorski, S. Huttunen, A. Vihavainen, Roman Yangarber (2010). News Mining for Border Security Intelligence. In IEEE ISI-2010: Intelligence and Security Informatics, Vancouver, BC, Canada. Balahur Alexandra & Hristo Tanev (2013). Detecting event-related links and sentiments from social media texts. Proceedings of the Conference of the Association for Computational Linguistics (ACL'2013). Balahur Alexandra, Ralf Steinberger, Erik van der Goot, Bruno Pouliquen & Mijail Kabadjov (2009). Opinion Mining on Newspaper Quotations. Proceedings of the workshop 'Intelligent Analysis and Processing of Web News Content' (IAPWNC), held at the 2009 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp. 523-526. Milano, Italy, 15.09.2009. Balahur Alexandra, Ralf Steinberger, Mijail Kabadjov, Vanni Zavarella, Erik van der Goot, Matina Halkia, Bruno Pouliquen & Jenya Belyaeva (2010). Sentiment Analysis in the News. In: Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC'2010), pp. 2216-2220. Valletta, Malta, 19-21 May 2010. Barboza P, Vaillant L, Mawudeku A, Nelson NP, Hartley DM, Madoff LC, Linge JP, Collier N, Brownstein JS, Yangarber R, Astagneau P (2013). Early Alerting Reporting Project Of The Global Health Security Initiative. Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events. PLoS One. 2013;8(3):e57252. doi: 10.1371/journal.pone.0057252. Epub 2013 Mar 5. Jakub Piskorski, Hristo Tanev, Martin Atkinson, Erik van der Goot & Vanni Zavarella (2011). Online News Event Extraction for Global Crisis Surveillance. Transactions on Computational Collective Intelligence. Springer Lecture Notes in Computer Science LNCS 6910/2011, pp. 182-212. Krstajic, M.; Bak, P.; Oelke, D..; Atkinson, M.; Keim, D.A. (2010). Applied Visual Exploration on Real-Time News Feeds Using Polarity and Geo-Spatial Analysis. Web Information Systems and Technologies WEBIST 2010, Valencia, 7-10 April 2010. Krstajic, M.; Mansmann, F.; Stoffel, A.; Atkinson, M.; Keim, D.A. (2010). Processing online news streams for large-scale semantic analysis. 26th International Conference on Data Engineering (ICDE) Workshops, pp.215-220, 1-6 March 2010. Linge Jens, Ralf Steinberger, Thomas Weber, Roman Yangarber, Erik van der Goot, Delilah Al Khudhairy & Nikolaos Stilianakis (2009). Internet Surveillance Systems for Early Alerting of Health Threats. EuroSurveillance Vol. 14, Issue 13. Stockholm, 2 April 2009. Linge, J.P., Mantero, J. Fuart, F., Belyaeva, J., Atkinson, M., van der Goot, E. (2011). Tracking Media Reports on the Shiga toxin-producing Escherichia coli O104:H4 outbreak in Germany. In: Malaga. P. Kostkova, M. Szomszor, and D. Fowler (eds.), Proceedings of eHealth conference (eHealth 2011), LNICST 91, pp. 178–185, 2012. PUBSY JRC65929. Piskorski Jakub, Jenya Belyaeva & Martin Atkinson (2011). Exploring the usefulness of cross-lingual information fusion for refining real-time news event extraction. Proceedings of the 8th International Conference Recent Advances in Natural Language Processing (RANLP'2011), pp. 210-217. Hissar, Bulgaria, 12-14 September 2011 Pouliquen Bruno, Hristo Tanev & Martin Atkinson (2008). Extracting and Learning Social Networks out of Multilingual News. Proceedings of the social networks and application tools workshop (SocNet-08) pp. 13-16. Skalica, Slovakia, 19-21 September 2008. Pouliquen Bruno, Marco Kimler, Ralf Steinberger, Camelia Ignat, Tamara Oellinger, Ken Blackler, Flavio Fuart, Wajdi Zaghouani, Anna Widiger, Ann-Charlotte Forslund, Clive Best (2006). Geocoding multilingual texts: Recognition, Disambiguation and Visualisation. Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC'2006), pp. 53-58. Genoa, Italy, 24-26 May 2006. Pouliquen Bruno, Ralf Steinberger & Clive Best (2007). Automatic Detection of Quotations in Multilingual News. In: Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP'2007), pp. 487-492. Borovets, Bulgaria, 27-29.09.2007. Pouliquen Bruno, Ralf Steinberger & Olivier Deguernel (2008). Story tracking: linking similar news over time and across languages. In Proceedings of the 2nd workshop Multi-source Multilingual Information Extraction and Summarization (MMIES'2008) held at CoLing'2008. Manchester, UK, 23 August 2008. Pouliquen Bruno, Ralf Steinberger, Camelia Ignat & Tamara Oellinger (2006). Building and displaying name relations using automatic unsupervised analysis of newspaper articles. Proceedings of the 8th International Conference on the Statistical Analysis of Textual Data (JADT'2006). Besançon, 19-21 April 2006. Pouliquen Bruno, Ralf Steinberger, Jenya Belyaeva (2007). Multilingual multi-document continuously updated social networks. Proceedings of the Workshop Multi-source Multilingual Information Extraction and Summarization (MMIES'2007) held at RANLP'2007, pp. 25-32. Borovets, Bulgaria, 26 September 2007. Sean P. O'Brien (2002). Anticipating the Good, the Bad, and the Ugly. An Early Warning Approach to Conflict and Instability Analysis. Journal of Conflict Resolution, Vol. 46 No. 6, December 2002, pp. 791-811 Steinberger Ralf & Bruno Pouliquen (2009). Cross-lingual Named Entity Recognition. In: Satoshi Sekine & Elisabete Ranchhod (eds.): Named Entities - Recognition, Classification and Use, Benjamins Current Topics, Volume 19, pp. 137-164. John Benjamins Publishing Company. ISBN 978-90-272-8922 3. ( Steinberger Ralf (2012). A survey of methods to ease the development of highly multilingual Text Mining applications. Language Resources and Evaluation Journal, Springer, Volume 46, Issue 2, pp. 155-176 (DOI 10.1007/s10579-011-9165-9). Steinberger Ralf, Bruno Pouliquen & Erik van der Goot (2009). An Introduction to the Europe Media Monitor Family of Applications. In: Fredric Gey, Noriko Kando & Jussi Karlgren (eds.): Information Access in a Multilingual World - Proceedings of the SIGIR 2009 Workshop (SIGIR-CLIR'2009), pp. 1-8. Boston, USA. 23 July 2009. Steinberger Ralf, Flavio Fuart, Erik van der Goot, Clive Best, Peter von Etter & Roman Yangarber (2008). Text Mining from the Web for Medical Intelligence. In: Fogelman-Soulié Françoise, Domenico Perrotta, Jakub Piskorski & Ralf Steinberger (eds.): Mining Massive Data Sets for Security. pp. 295-310. IOS Press, Amsterdam, The Netherlands Tanev Hristo & Bernardo Magnini (2008). Weakly supervised approaches for ontology population. In: Paul Buitelaar & Philipp Cimiano (eds.): Ontology learning and population: Bridging the Gap between Text and Knowledge. IOS Press, Amsterdam, The Netherlands. Frontiers in Artificial Intelligence and Applications, Volume 167. Tanev Hristo & Josef Steinberger (2013). Semi-automatic acquisition of lexical resources and grammars for event extraction in Bulgarian and Czech. Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing, held at ACL'2013, pp. 110-118. Tanev Hristo (2007). Unsupervised Learning of Social Networks from a Multiple-Source News Corpus. Proceedings of the Workshop Multi-source Multilingual Information Extraction and Summarization (MMIES'2007) held at RANLP'2007, pp. 33-40. Borovets, Bulgaria, 26 September 2007. Tanev Hristo, Bruno Pouliquen, Vanni Zavarella & Ralf Steinberger (2010). Automatic Expansion of a Social Network Using Sentiment Analysis. In: Nasrullah Memon, Jennifer Jie Xu, David Hicks & Hsinchun Chen (eds). Annals of Information Systems, Volume 12. Special Issue on Data Mining for Social Network Data, pp. 9-29. Springer Science and Business Media (DOI 10.1007/978-1-4419-6287-4_2). Tanev Hristo, Jakub Piskorski & Martin Atkinson (2008). Real-time News Event Extraction for Global Crisis Monitoring. In V. Sugumaran, M. Spiliopoulou, E. Kapetanios (editors) Proceedings of 13th International Conference on Applications of Natural Language to Information Systems (NLDB 2008 ), Lecture Notes in Computer Science, Cool. 5039, 24-27 June, London, UK. Tanev Hristo, Maud Ehrmann, Jakub Piskorski & Vanni Zavarella (2012). Enhancing Event Descriptions through Twitter Mining. In: AAAI Publications, Sixth International AAAI Conference on Weblogs and Social Media, pp 587-590. Dublin, June 2012. Tanev Hristo, Vanni Zavarella, Jens Linge, Mijail Kabadjov, Jakub Piskorski, Martin Atkinson & Ralf Steinberger (2009). Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish. In: linguaMÁTICA Journal:2, pp. 55-66. Available at: . Turchi Marco, Martin Atkinson, Alastair Wilcox, Brett Crawley, Stefano Bucci, Ralf Steinberger & Erik van der Goot (2012). ONTS: "OPTIMA" News Translation System. Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 25–30, Avignon, France, April 23 - 27 2012. Van der Goot Erik, Hristo Tanev & Jens Linge (2013). Combining twitter and media reports on public health events in MedISys. Proceedings of the 22nd international conference on World Wide Web companion, pp. 703-718. International World Wide Web Conferences Steering Committee, 2013. Zavarella Vanni, Hristo Tanev, Jens Linge, Jakub Piskorski, Martin Atkinson & Ralf Steinberger (2010). Exploiting Multilingual Grammars and Machine Learning Techniques to Build an Event Extraction System for Portuguese. In: Proceedings of the International Conference on Computational Processing of Portuguese Language (PROPOR'2010), Porto Alegre, Brazil, 27-30 April 2010. Springer Lecture Notes for Artificial Intelligence, Vol. 6001, pp. 21-24. Springer. Observing Trends in Automated Multilingual Media Analysis Authors: Ralf, Aldo, Alexandra, Guillaume, Hristo, Martin, Michele, Yaniv, Erik European Commission – Joint Research Centre (JRC), Ispra (VA), Italy e-mail: Ralf.Steinberger@jrc.ec.europa.eu ( corresponding author )
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The Justice Roundtable | The Progressive Voice for Justice Reform Roy L. Austin, Jr. Roy Austin is a partner with the law firm of Harris, Wiltshire & Grannis LLP. He began his career with the Criminal Section of the Civil Rights Division investigating and prosecuting hate crime and police brutality cases. In 2000, he joined Keker & Van Nest LLP, working on complex civil and white-collar criminal cases, including a successful pro-bono lawsuit aimed at preventing racial profiling by the Calif. Highway Patrol. He joined the U.S. Attorney's Office for D.C. and prosecuted domestic violence, adult and child sexual assault, human trafficking, homicide and fraud and public corruption cases. He later became Senior AUSA and Coordinator of the D.C. Human Trafficking Task Force. In January 2010, Mr. Austin was appointed Deputy Asst Attorney General, Civil Rights Division, DOJ and supervised the Criminal Section, and the Special Litigation Section's law enforcement portfolio. In March 2014, he joined the White House Domestic Policy Council as Deputy Asst to the President for the Office of Urban Affairs, Justice and Opportunity. Here, he worked with the President's Task Force on 21st Century Policing, on issues of reentry, and was a member of Obama's My Brother's Keeper Task Force. Rachel Barkow Rachel Barkow is the Vice Dean and Segal Family Professor of Regulatory Law and Policy at NYU School of Law. She also serves as the Faculty Director of the Center on the Administration of Criminal Law at NYU. In June of 2013, the Senate confirmed her as a Member of the United States Sentencing Commission. Since 2010, she has also been a member of the Manhattan District Attorney's Office Conviction Integrity Policy Advisory Panel. Professor Barkow teaches courses in criminal law, administrative law, and constitutional law. In 2013, she was the recipient of the NYU Distinguished Teaching Award. The Law School awarded her its Podell Distinguished Teaching Award in 2007. After graduating from Northwestern University (B.A.'93), Barkow attended Harvard Law School ('96) where she won the Sears Prize. She served as a law clerk to Judge Laurence H. Silberman on the D.C. Circuit and Justice Antonin Scalia on the U.S. Supreme Court. Barkow was an associate at Kellogg, Huber, Hansen, Todd & Evans in Washington, D.C. Brittany Barnett Brittany K. Barnett is an attorney and social justice advocate. As the daughter of a formerly incarcerated mother, Brittany knows first hand the impact of mass incarceration is far reaching, devastating families and entire communities. She is co-founder of the Buried Alive Project, an organization that works to end life without parole sentencing handed down under federal drug laws through transformative litigation, legislation, and humanization. While working several years as a corporate attorney, Brittany was committed to pro bono representation of clients in federal prison. Her dedication to this life changing work paid off tremendously – resulting in executive clemency from President Obama for seven of her clients, as well as freedom for several additional clients through the federal court system. She is a member of the legal team that represented Alice Johnson, who was granted clemency from President Trump after serving over 21 years of a life without parole sentence. Brittany is also founder of Girls Embracing Mothers (GEM). GEM partners with women's prisons in Texas and works to lessen the impact of maternal separation by strengthening the mother-daughter relationship and equipping girls with the tools to make positive life choices. Norman Brown Norman Brown is a lifestyle coach who helps recipients of Presidential commutations returning from federal prison to acclimate to society by helping to decrease their risk of recidivism. He bridges the gap that so frequently leaves re-entry citizens vulnerable to psychological setbacks, by helping them find the resources needed to function and grow. His experience goes beyond textbook, involving training and practicality. Norman himself was rewarded clemency from President Obama after serving 24 ½ years for a non-violent crime. He had the honor of having lunch with President Obama in 2015, after being rewarded clemency. Norman has received specialized training in public speaking, lifestyle coaching, and mentoring youths as well as adults. He plays a major role in working with youth for The Dept of Rehabilitation Services, and consults with the executive staff of DYRS in effective innovative approaches with training. He has spoken at the White House and testified for the Federal and DC Government on matters around Mass Incarceration. As Deputy Project Director for Project New Opportunity, Norman manages a staff of consultants who are working with clients preparing to reenter society and start their lives over in being productive citizens. Rhozier "Roach" Brown While serving a life sentence for murder at Lorton Reformatory, Roach Brown conceived and founded THE INNER VOICES, a national traveling prison theatrical troupe, wrote and directed several award winning plays, a television documentary and specials. The Inner Voices performed outside the gates of Lorton over 1,500 times without escape or incident. Roach designed a drug exhibit at the Smithsonian Museum for the White House, was invited by Members of Congress to testify on national legislation, designed a drug prevention program for the Embassy of Ghana and designed and implemented correctional programs. He has won acclaim at New York, Sundance, Cannes and International Film Festivals and developed prison therapeutic theater troupes. Because of his work with the Inner Voices, President Gerald Ford commuted his life sentence, on Christmas day 1975. A community activist extraordinaire, Roach Brown's aggressive legislative organizing includes increased voter awareness and registration for returning citizens, support of ban the box campaigns and fair hiring practices, and repeal of federal mandatory minimum sentences. He is the host of WPFW-FM's popular Cross Roads' radio show. MiAngel C. Cody MiAngel Cody picks locks to human cages. As a federal criminal defense lawyer, Ms. Cody won presidential clemency and freedom for six prisoners serving life sentences for drug crimes. Ms. Cody has defended hundreds of people in federal court, achieving a range of courtroom victories, from jury acquittals to successful federal appeals to significantly reduced sentences. As Founder and Lead Counsel for The Decarceration Collective law office, Attorney Cody has seen incarcerated fathers and mothers kiss children goodbye. She's watched judges lament that mandatory sentencing laws left them hamstrung with no discretion. She's seen people leave prison with nothing to insure their future success. She's witnessed a system dehumanize humans and, in doing so, become dehumanized itself. Ultimately, she has stood with people as they were sent into cages. And she's received desperate calls when those same people returned from prison with nothing. In 2018, Ms. Cody received a Soros Justice Advocacy Fellowship. In 2014, she received the Federal Bar Association's Federal Lawyer of the Year Award. Her work has been featured in the New York Times, MSNBC, Chicago Tribune, Amazon's Audible Series and CNN. Van Jones Van Jones is the President and Co-Founder of #Cut50, CNN political commentator and host of The Messy Truth and the Van Jones Show. He is founder of The Dream Corps, Rebuild The Dream, Green For All, the Ella Baker Center for Human Rights and Color of Change. Jones is a Yale-educated attorney and author of two New York Times best-selling books, The Green Collar Economy (2008) and Rebuild the Dream (2012). The second book chronicles his journey as an environmental and human rights activist to becoming a White House policy advisor. He was the main advocate for the Green Jobs Act, the first piece of federal legislation to codify the term "green jobs." In 2009, Jones worked as the green jobs advisor to President Obama. In this role, he helped to lead the inter-agency process that oversaw the multi-billion dollar investment in skills training and jobs development within the environmental and green energy sectors. Jones has been honored with numerous awards and spotlighted on several lists of high achievers, including: the World Economic Forum's "Young Global Leader" designation; Rolling Stone's 2012 "12 Leaders Who Get Things Done"; TIME's 2009 "100 Most Influential People in The World"; and the Root's 2014 "The Root 100." Jason Hernandez In 2011 Jason Hernandez, who was serving a sentence of life without parole for a nonviolent drug crime, constructed his own clemency petition along with a letter asking President Obama to commute his sentence. On December 19, 2013, President Obama responded by commuting his sentence to twenty years. Jason was released in 2015, after 17 years in prison, and continued working on clemency petitions. In the process, he assisted six prisoners serving life receive a commutation through the Clemency Initiative. He continues to file petitions for prisoners in the state and federal system and is a recent recipient of a Soros Justice Fellowship wherein he will advocate for clemency to be used on a broader scale and create a toolkit that will allow prisoners, families of prisoners and students to initiate their own clemency campaigns. Mark Holden Mark Holden serves as senior vice president, general counsel and corporate secretary of Koch Industries, Inc. He is also president and COO of the Legal Division of Koch Companies Public Sector, LLC, which provides legal, government and public affairs services to Koch Industries, Inc. and its affiliates. In addition, he also serves as Chairman of the Board of Freedom Partners Chamber of Commerce, Inc. and serves on the Board of Directors of Americans For Prosperity. Mr. Holden began his career with Koch Industries in 1995 as a litigation attorney, and was vice president and general counsel for litigation and compliance. He has worked with the various Koch companies on a variety of litigation, regulatory, compliance, and commercial issues. Mr. Holden earned a bachelor's degree in political science from the University of Massachusetts. He earned his law degree from the Columbus School of Law at the Catholic University of America, where he was an associate editor of the Catholic University Law Review. Andrea James Andrea James J.D is the Founder and Executive Director of the National Council For Incarcerated and Formerly Incarcerated Women and Girls, Founder of Families for Justice as Healing, author of Upper Bunkies Unite: And Other Thoughts On the Politics of Mass Incarceration, a 2015 Soros Justice Fellow, and recipient of the 2016 Robert F. Kennedy Human Rights award. As a former criminal defense attorney and a formerly incarcerated woman she shares her personal and professional experiences to raise awareness of the affect of incarceration of women on themselves, their children and communities. Her work is focused on ending incarceration of women and girls and contributing to the shift from a criminal legal system to community led human justice. Alice Marie Johnson Alice Marie Johnson, a first time offender, served 21 years of a life sentence without parole for a drug offense. To date she is the only person with a drug sentence commuted by President Trump. Alice was #1 on CAN DO Clemency's list of the "Top 25 Women most Deserving of Clemency." She was one of six people featured in the ACLUs ad campaign to end mass incarceration. Coordinated by the National Council of Incarcerated and Formerly Incarcerated Women and Girls and the Real Women Real Voices Symposium, while imprisoned Alice was able to use skype to address audiences at Ivy League Universities such as Yale and NYU, as well as Google. She was one of the call-in guests on Cross Roads' National Clemency and Criminal Justice Reform RadioThon, and the Justice Roundtable brought her daughters to Washington, DC to join the White House's March 31 Life After Clemency convening and bring attention to their mother's case. Alice was a model prisoner with an exemplary prison record who is also an ordained minister. While imprisoned she wrote and produced numerous original plays and skits. Mic featured Alice in a video op ed in October 2017 that caught the attention of Kim Kardashian, who successfully advocated for her release at the White House. Alice has often referred to Kim as her "war angel." Paul J. Larkin, Jr. Paul J. Larkin, Jr., is the Rumpel Senior Legal Research Fellow at the Heritage Foundation. He received his law degree from Stanford Law School. He has held numerous positions in the federal and state governments, as well as in the private sector. Among them are Assistant to the Solicitor General at the U.S. Department of Justice and Counsel to the Senate Judiciary under the chairmanship of Senator Orrin Hatch. He has written a variety of articles on clemency, such as Revitalizing the Clemency Process, 39 Harv. J.L. & Pub. Pol'y 833 (2016); Essay: A Proposal to Restructure the Clemency Process—The Vice President as Head of a White House Clemency Office, 40 Harv. J. L. & Pub. Pol'y 237 (2017); and "A Day Late and a Dollar Short": President Obama's Clemency Initiative 2014, 16 Geo. J.L. & Pub. Pol'y 147 (2018). Mark Osler Mark Osler is the Robert and Marion Short Professor of Law at the University of St. Thomas (MN). He also holds the Ruthie Mattox Preaching Chair at First Covenant Church, Minneapolis. Osler's writing on clemency, sentencing and narcotics policy has appeared in the New York Times, the Washington Post, and in law journals at Harvard, Stanford, the University of Chicago, Northwestern, Georgetown, Ohio State, UNC, William and Mary, and Rutgers. A former federal prosecutor, he played a role in striking down a mandatory 100-to-1 ratio between crack and powder cocaine in the federal sentencing guidelines by winning the case of Spears v. United States in the U.S. Supreme Court. Osler's 2009 book Jesus on Death Row (Abingdon Press) critiqued the American death penalty through the lens of Jesus' trial. His second book, Prosecuting Jesus (Westminster/John Knox, 2016) is a memoir of performing the Trial of Jesus in 11 states. Most recently, he is the author of Contemporary Criminal Law (West, 2018), a casebook. The character of Professor Joe Fisher in the Samuel Goldwyn film American Violet was based on Osler, and he has been the subject of profiles by Rolling Stone, The American Prospect, and CBS News. Amy Ralston Povah For the past eighteen years, Amy Ralston Povah has been an accomplished filmmaker, writer, speaker, and activist. After receiving clemency from President Clinton, she advocated for other women seeking "justice through clemency" and started the CAN-DO Foundation (Clemency for All Non-violent Drug Offenders). Amy has organized five White House vigils for the prisoners profiled on the CAN-DO website; spoken on panels at Yale University, Pepperdine University, Vanderbilt University, Washington State University, New York University, Columbus School of Law, and on Capitol Hill. She wrote about the lack of women who received clemency from President Obama for the Federal Sentencing Reporter and authored Op Eds published in the New York Times, Fusion, San Francisco Chronicle, The Hill and 5 HuffPost articles. Amy submitted the numerous cases profiled by the "Mercy Lottery: Review of the Obama Administration's Clemency Initiative released by NYU Law School. CAN-DO profiled and assisted 20 men and 44 of the 105 women who received clemency under President Obama's clemency initiative. The CAN-DO media page. works to garner exposure for the prisoners on the CANDO website. Kemba Smith Growing up as an only child in Richmond, VA, Kemba Smith graduated high school and entered Hampton University. What happened to Kemba in her new campus environment was a nightmare, and led to a 24.5-year sentence in a federal prison. In Dec. 2000, after serving 6.5 years, President Clinton commuted her sentence to time served. Kemba shares her traumatic real life experience in her book, "Poster Child: The Kemba Smith Story." Featured on CNN, Nightline, Court TV, The Early Morning Show, Donahue, Judge Hatchett, and a host of other television programs, Kemba's story has also been written about in national publications including The Washington Post, NY Times, Glamour, People, JET, Emerge, Diverse Issues in Higher Education, and Essence magazines. Kemba is a graduate of Virginia Union University and was a past recipient of a Soros Justice Fellowship. In December 2014, Kemba was appointed a member of the Virginia Criminal Sentencing Commission by Governor Terry McAuliff. She has spoken at the White House and testified before Congress and the United Nations, and is a popular speaker at colleges, universities, high schools, juvenile facilities, churches and national conferences around the nation. Nkechi Taifa Nkechi Taifa is Advocacy Director for Criminal Justice at the Open Society Foundations and Open Society Policy Center and convener of the Justice Roundtable, a Washington-based coalition advancing federal justice reforms. Taifa was founding Director of the Equal Justice Program at Howard University Law School and adjunct professor at both Howard Law and American University Wash. College of Law. She was legislative counsel for the ACLU, serving as principal spokesperson for its Washington Office on criminal justice and civil rights issues. Taifa also served as public policy counsel for the Women's Legal Defense Fund and as staff attorney for the National Prison Project. As a private practitioner she represented indigent adults and juveniles. Over the course of her career she has spoken across the country on justice reform and human rights issues and has testified before the U.S. Congress, the U.S. Sentencing Commission, the Council of the District of Columbia and the American Bar Association Justice Kennedy Commission. She has served on the boards of numerous public interest organizations, as consultant to various groups and projects, and as an appointed commissioner and chair of the DC Commission on Human Rights. Taifa received her JD from George Washington University Law School. Ebony Underwood Founder and CEO of We Got Us Now, Ebony Underwood is a social entrepreneur, filmmaker and Soros Justice fellow leading a powerful movement built by, led by and for children of incarcerated parents in an effort to create greater awareness about the issue of parental incarceration and the rippling effects of mass incarceration. Ebony's interest in this advocacy work is personal and pivotal. As a daughter of an incarcerated parent, Ebony was traumatized and emotionally devastated by her father's harsh mandatory minimum sentence of life without parole. For 25 years she suffered with the shame and despair she felt. In 2014, she found her voice and began to speak publicly, sharing her story through film, television and social media advocacy. Ebony is a leading voice on the issue of children impacted by parental incarceration, speaking nationally at Yale, Columbia, American and NYU Law Schools, and John Jay School of Criminal Justice, Sing Sing State Correctional Facility, and Google. She has published op-ed articles in Huffington Post, Vibe and Mic, and spear-headed the Google-initiated #LoveLetters campaign to demonstrate the unbreakable bond between a child and their incarcerated parent on Mothers and Fathers Day.
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