1. REACTION REACTION Workshop 2011.01.06 Overview Lisbon, PT and Austin, TX Mário J. Silva University of Lisbon, Portugal

2. REACTION Agenda 14:30 Welcome + Quick progress report and status summary (15 min) 14:45 Task leaders summarize ongoing activities 16:30 Break. 17:00 Technical Presentations – Tokenizing Micro-blogging Messages Using a Text Classification Approach (Gustavo Laboreiro)- POWER – Political Ontology for Web Entity Retrieval (Paula Carvalho) 18:00 Plans for Milestone1 ("REACTION Specification") + UTA- Portugal Annual Meeting + TREC2011 + Issues 18:25 Directions for next meeting/Next workshop 18:30 Meeting ends.

3. REACTION The Problem... Computational journalism, aka database journalism – Intensive use of software tools for news research, production and presentation What is the impact in the routines of newsrooms? What effect will these tools have on the quality of news and the productivity of journalists?

4. REACTION Challenges 1.Automatic content analysis (documents, news, blogs, micro-blogs, comments) 2.Automatic analysis of explicit and implicit social networks 3.Design of rich visualization and interaction interfaces 4.Case-study evaluation of developed computational journalism methodology in a production setting. Critical analysis of practical impact on newsroom quality, efficiency, and economics.

5. REACTION Directions Automatic Content analysis – Semantic annotation, involving subjectivity analysis and the identification of opinions in context Explicit and implicit social networks analysis – Entity ranking, expert finding – Research shingling for detecting and tracking popular passages, memes, across news. User interface design and analysis – Provide information navigation tools and automatic detection of relevant events to journalists.

6. REACTION Partnership LASIGE, FCUL (Mário J. Silva, Paula Carvalho, Francisco Couto) LIACC, FEUP (Eugénio de Oliveira, Eduarda M. Rodrigues, Luís Sarmento) CIMJ, FCH/UNL (António Granado) Austin: School of Information and Computer Science at Austin (Luis Francisco-Revilla, Matthew Lease) PT Comunicações, SAPO (Benjamim Júnior, Celso Martinho, Luís Sarmento) Público (Sérgio B. Gomes)

7. REACTION Students UL: – David Batista, Silvio Moreira, João Ramalho UP: – Gustavo Laboreiro, ? UT: – ? UNL: – TBH 2012

8. REACTION Research tasks 1.Information Mining 2.Information Discovery 3.Web Community Sensing 4.Tracking Information Flow 5.Interaction and Personalization 6.Query and Visualization 7.Computational Newsroom

9. REACTION Information Mining Development of robust linguistic resources to process different types and genres of texts – knowledge resources about media personalities: recognizing and resolving references to named- entities; – sentiment lexicons and grammars: detecting the polarity of opinions about relevant personalities – annotated corpora: training different text classifiers and evaluating classification procedures

10. REACTION Information Discovery Relationship extraction techniques to support information discovery in journalists’ activities Entity Ranking: finding the relevant entities for a given topic Entity Distillation: finding relevant resources for a given entity Attribute Selection: finding a list of key aspects to compare and differentiate a given set of entities

11. REACTION Web Community Sensing Modeling the credibility and authority of news sources and opinion makers in social networks Identifying influential individuals and experts on a given news topic Monitoring the community reaction to news stories and the polarity of opinions

12. REACTION Tracking Information Flow Identifying originating source of new ideas and information Understand evolutionary development of ideas through their iterative retelling and revision over time and across sources – detecting cases and patterns of re-use (e.g. via “memes” or larger units of similar text) and information flow for source identification and novelty detection.

13. REACTION Interaction and Personalization Determining which interaction and personalization mechanisms are best suited to: – Significantly enhance the user experience – Provide the news site with useful, tacit feedback about its readers’ needs Investigating interactive news interfaces that support both automatic and manual personalization for readers

14. REACTION Query and Visualization Development of tools for querying extracted information and visualizing annotated documents and datasets Continuous scanning of the social web, news sources and various kinds of data streams – Sapo already scans and processes many of these streams, in particular the news media

15. REACTION Computational Newsroom Environment where the new tools and resources developed in the project, together with other software will be accessible Will use tools and collect data for case studies to be evaluated – observation and structured interviewing of the journalists in contact with the developed tools. The research will try to contextualize the changing nature of media work

16. REACTION More details Started October 1st, 3 years http://xldb.fc.ul.pt/wiki/Reaction 1 st milestone: End of Month 6 – REACTION Specification 2 nd milestone: End of Month 12 – First toolset prototype (should to demo it at next Collaboratory)