Third Call for Papers
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First International Workshop on Recent Trends in News Information Retrieval (NewsIR'16), to be held in conjunction with ECIR 2016 in Padua, Italy
http://research.signalmedia.co/newsir16/

Important Dates
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Submission deadline: 31st January 2016
Notification of acceptance: 28th February 2016
Camera-ready due: 11th March 2016
Workshop date: 20 March 2016

Overview
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Mainstream media outlets are often among the most relevant, influential and powerful sources of information. This ranges from the influence that newspapers have on elections to the damage to a brand's reputation that a negative article on a popular blog can cause. Information Retrieval (IR) applied to news has been a popular research area for decades but it would be a mistake to assume that news search has been 'solved'. Not only can algorithms still be improved but also there are serious gaps in the state of the art that need to be addressed. In this workshop, we will stimulate discussion around new and powerful uses of IR applied to news sources. We invite contributions on any of the multiple IR tasks that can help solve real user problems in this area. To accompany the workshop, we have released a new data collection suitable for many research projects.

This consists of c .1m recent news articles from a wide range of sources. One goal of the workshop is to define shared challenges using this data, such as news recommendation, de-duplication, multi-document summarization, event detection and clustering.
We encourage submissions of applied research that uses this data, although this is not required. Potential retrieval tasks that can be studied with this data include (but are not limited to):

- detecting and summarising events over time;
- identifying bias in news sources to different topics and/or different entities;
- identifying influencers in media coverage and visualising information flow.

Further details, including instructions on how to obtain the data, can be found here: http://research.signalmedia.co/newsir16/signal-dataset.html

Topics of Interest
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Relevant topics of interest for NewsIR'16 include but are not limited to:

- Integration of traditional and social media
- Credibility, readability and controversy
- Bias and plurality in news
- News recommendation
- Temporal aspects of news
- Event and anomaly detection
- Diversification
- Summarization of multiple documents
- Information Filtering
- User-generated content (e.g., using comments to enhance news retrieval)
- Deduplication and clustering of news articles
- Author identification and disambiguation
- Evaluation
- Data Visualization

Workshop structure
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Authors of accepted papers will be invited to present their papers orally at the workshop and also to present them in an interactive poster session, designed to encourage greater discussion and engagement. There will be two keynote presentations from Dr. Jochen Leidner (Thomson Reuters) and Dr. Carlos Castillo (Sapienza University of Rome). The workshop will also include a panel discussion with members drawn from academia and industry. Confirmed members include Dr. Jochen Leidner (Thomson Reuters), Dr. Gabriella Kazai (Lumi) and Dr. Julio Gonzalo (UNED). This discussion will focus on the commonalities and differences between the communities as they face related challenges in news-based information retrieval.

Submission Details
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We welcome submissions of technical papers (4 pages), demos and position papers (2 pages). All papers should be formatted in the ACM double-column style. Submissions will be peer-reviewed by at least three members of the programme committee. We plan to publish the papers as CEUR Workshop Proceedings. Papers must be submitted electronically in printable PDF format through the Easy Chair submission page.


Organising Committee
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- Miguel Martinez-Alvarez, Signal Media Ltd.
- Udo Kruschwitz, University of Essex
- Gabriella Kazai, Lumi
- Frank Hopfgartner, University of Glasgow
- David Corney, Signal Media Ltd.
- Ricardo Campos, Instituto Politécnico de Tomar
- Dyaa Albakour, Signal Media Ltd.

Program Committee
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- Ramkumar Aiyengar, Bloomberg, UK
- Omar Alonso, Microsoft, USA
- Alejandro Bellogin Kouki, UAM, Spain
- Horatiu Sorin Bota, University of Glasgow, UK
- Igor Brigadir, Insight Centre for Data Analytics, Ireland
- Toine Bogers, Aalborg University Copenhagen (AAUCPH), Denmark
- Ivan Cantador, UAM, Spain
- Arjen De Vries, Radboud University, The Netherlands
- Ernesto Diaz Aviles, IBM Research, Ireland
- Angel Castellanos Gonzalez , UNED, Spain
- Julio Gonzalo, UNED, Spain
- David Graus, University of Amsterdam, Netherlands
- Jon Atle Gulla, NTNU, Norway
- Charlie Hull, Flax, UK
- Alipio Jorge, University of Porto, Portugal
- Jussi Karlgren, Gavagai, Sweden
- Marijn Koolen, University of Amsterdam, Netherlands
- David D. Lewis, David D. Lewis Consulting, USA
- Stefano Mizzaro, University of Udine, Italy
- Elaheh Momeni, University of Vienna, Austria
- Miles Osborne, Bloomberg, UK
- Filipa Peleja, Yahoo! Research, Spain
- Vassilis Plachouras, Thomson Reuters, UK
- Barbara Poblete, University of Chile, Chile
- Muhammad Atif Qureshi, National University of Ireland, Ireland
- Paolo Rosso, Universidad Politecnica de Valencia, Spain
- Alan Said, Recorded Future, Sweden
- Damiano Spina, RMIT, Australia
- Jeroen Vuurens, TU Delft, Netherlands
- Colin Wilkie, University of Glasgow, UK
- Arjumand Younus, National University of Ireland, Ireland
- Arkaitz Zubiaga, University of Warwick, UK