Call for papers
The journalism industry has undergone a revolution in the past decade, leading to new opportunities as well as challenges. News consumption, production and delivery have all been affected and transformed by technology. Readers require new mechanisms to cope with the vast volume of information in order to be informed. Reporters have begun to use natural language processing and information retrieval (IR) techniques (search engines, recommender systems, etc.) for investigative work. Publishers and aggregators are seeking new business models, and new ways to reach and retain their audience. A shift in business models has led to a gradual shift in styles of journalism in attempts to increase page views; and, far more concerning, to real mis- and dis-information. Social media platforms drive viewers in a heavily personalized manner, creating filter bubbles and an increasingly polarized readership.
The aforementioned opportunities and challenges have attracted much research recently in the IR and in many other communities, such as Natural Language Processing (NLP) and Machine Learning (ML). Building on the success of its two previous versions, the main goal of NewsIR’19 is to bring together experts from both the technology side (mainly experts in IR, NLP and ML), and the journalism side. The objective is to stimulate discussion around the current challenges in the journalism and news processing environment and to combine the expertise of these communities. NewsIR will be hosted as part of SIGIR, the biggest international conference on information retrieval - this year hosted in Paris.
We solicit submissions from both communities on the challenges identified above. As this is a workshop bringing together professionals from different domains, we welcome both, technical papers (4 pages) as well as demos and position papers (2 pages). Submissions for demos and position papers, especially from contributors in the journalism community, do not need to be technical in nature. They do need to explain the application area to an audience that is not specialised in journalistic methods, and highlight the potential of this area to be developed further by computational methods.
Topics of interest include - but are not limited to:
Investigative and Data Journalism
- NLP and IR in investigative reporting and journalism
- Story-telling with news data: What can we learn from 'counting the news'?
- Conversational journalism and chat bots
- Mobile-first and journalism
- How can we visualise the big picture: Data visualization and story-telling
Fake News, Fact-checking and Controversy
- Credibility, controversy, propaganda, and fact-checking
- Bias and plurality in news
- Extraction and Summarization of opinion and angles in news
- Information silos and the effect of algorithms on news consumption
- News-related user-generated content (e.g. comments)
- Discourse analysis in modern news settings
Information within News Text
- Entity recognition and entity linking in news
- De-duplication and clustering of news articles
- Author identification and disambiguation
- Multiple document and temporal summarization
- Comparative studies of news coverage across languages
- Event and anomaly detection in the news
News Recommendation, social media and the filter bubble
- News ranking and online learning-to-rank
- News recommendation and personalization
- The "filter bubble" and depersonalisation
- Evaluation of news retrieval systems
- Traditional and social media integration
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.
Submission DetailsPlease visit this page for details on format and how to submit your paper.
- Submission deadline:
03/05/2019extended to 22/05/2019 AOE
- Notification of acceptance: 31/05/2019
If you have any further questions, you can reach out via email to [email protected]