NewsIR 2016 : First International Workshop on Recent Trends in News Information Retrieval
Call For Papers
Second Call for Papers
First International Workshop on Recent Trends in News Information Retrieval (NewsIR’16) in conjunction with ECIR 2016 in Padua, Italy http://research.signalmedia.co/newsir16/
Submission deadline: 31st January 2016
Notification of acceptance: 28th February 2016 Camera-ready due: 11th March 2016 Workshop date: 20th March 2016
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.
Topics of Interest
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) – De-duplication and clustering of news articles – Author identification and disambiguation – Evaluation – Data Visualization
Data challenge track
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, deduplication, multi-document summarization, event detection and clustering.
We encourage submissions describing experiments for retrieval tasks on the dataset. This includes, but 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; sentiment analysis on media coverage.
Further details, including instructions on how to obtain the data, can be found here: http://research.signalmedia.co/newsir16/signal-dataset.html
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 Julio Gonzalo (UNED - Universidad Nacional de Educación a Distancia ). 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.
We welcome submissions of technical papers (4 pages), data challenge, 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.
Further information about the submission can be found here: http://research.signalmedia.co/newsir16/cfp.html
– 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, Polytechnic Institute of Tomar / LIAAD-INESC TEC
– Dyaa Albakour, Signal Media Ltd.
– 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 (AAU-CPH), Denmark
– Marco Bonzanini, Bonzanini Consulting Ltd
– Ivan Cantador, UAM, Spain
– Arjen De Vries, Centrum Wiskunde & Informatica (CWI), 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
– Alípio Jorge, University of Porto / LIAAD-INESC TEC, 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