Submission deadline: 2/2/2018
Notification of acceptance: 2/3/2018
Camera-ready copies: 16/3/2018
Workshop date: 26/3/2018
Мои впечатления о предыдущем воркшопе вот тут: http://mathlingvo.ru/2016/03/ecir-2016/
The news industry is continuing to experience a revolution. News consumption habits are changing with an increase in both the volume of news and the variety of sources, along with a continuing trend away from print. Readers need new mechanisms to help with this vast volume of information so they can not only find a signal in the noise, but also understand what is happening in the world given the multiple points of view describing every event. At the same time, publishers and aggregators need new ways to reach and retain their audience, and to monetize their services. These challenges in journalism relate to Information Retrieval (IR) and natural language processing (NLP) fields such as: verification of a source’s reliability; the integration of news with other sources of information; real-time processing of both news content and social streams; automatic summarization; news recommendation; multilingual NLP; and entity recognition. Although IR and NLP have been applied to news for decades, the changing nature of the space requires fresh approaches and a closer collaboration with our colleagues from the journalism environment. Building on the success of NewsIR’16, the goal of this workshop is to stimulate discussion between the communities and to share interesting approaches to these challenges. 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’18 include but are not limited to:
– Traditional and social media integration
– Temporal aspects of news
– Credibility, controversy and fact-checking
– Bias and plurality in news
– Information silos and the effect of algorithms on news consumption
– Event and anomaly detection
– IR/NLP in Data Journalism
– Multiple document summarization
– User-generated content (e.g., using comments to enhance news retrieval)
– News recommendation
– De-duplication and clustering of news articles
– Author identification and disambiguation
– Evaluation of news retrieval systems
– Data visualization
– Conversational journalism and chat bots
– Mobile-first journalism
– Data Visualization
– Data collections
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: Edgar Meij, a senior scientist at Bloomberg. His research focuses on all applications and aspects of knowledge graphs, entity linking, and semantic search. Steve Schifferes, former Director of the Financial Journalism MA at City University London and former economics correspondent for BBC News Online. Professor Schifferes has lectured around the world on the role of the media in the financial crisis.
The workshop will also include a panel discussion with members drawn from academia and industry. Panel members include Robert Stojnic (CTO of Factmata); Kalina Bontcheva (University of Sheffield); Edgar Meij (Bloomberg); Prof. Steve Schifferes;
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. Further information about the submission can be found here: http://research.
– Miguel Martinez, Signal Media Ltd.
– Barbara Poblete, University of Chile
– Julio Gonzalo, UNED, Madrid
– Andreas Vlachos, Sheffield University
– Dyaa Albakour, Signal Media Ltd.
– David Corney, Signal Media Ltd.
– Frank Hopfgartner, University of Glasgow, UK
– Marco Bonzanini, Bonzanini Consulting Ltd, UK
– Alejandro Bellogin Kouki, UAM, Spain
– Jussi Karlgren, Gavagai, Sweden
– Stefano Mizzaro, University of Udine, Italy
– Filipa Peleja, Vodafone, Portugal
– Damiano Spina, RMIT, Australia
– Jochen Leidner, Thomson Reuters, UK
– Arkaitz Zubiaga, University of Warwick, UK
– Faegheh Hasibi, Norwegian University of Science and Technology, Norway
– Elaheh Momeni, University of Vienna, Austria
– Richard McCreadie, University of Glasgow, UK
– Gabriella Kazai, Microsoft, UK
– Julia Kiseleva, University of Amsterdam
– Ricardo Campos, Polytechnic Institute of Tomar, Portugal
– Anastasia Giachanou, University of Lugano, Italy
– Udo Kruschwitz, University of Essex, UK
– Edgar Meij, Bloomberg, UK