Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4366
Title: First International Workshop on Recent Trends in News Information Retrieval (NewsIR'16)
Authors: Alvarez,MM
Kruschwitz,U
Kazai,G
Hopfgartner,F
Corney,D
Ricardo Campos
Albakour,D
Issue Date: 2016
Abstract: The news industry has gone through seismic shifts in the past decade with digital content and social media completely redefining how people consume news. Readers check for accurate fresh news from multiple sources throughout the day using dedicated apps or social media on their smartphones and tablets. At the same time, news publishers rely more and more on social networks and citizen journalism as a frontline to breaking news. In this new era of fast-flowing instant news delivery and consumption, publishers and aggregators have to overcome a great number of challenges. These include the verification or assessment of a source’s reliability; the integration of news with other sources of information; real-time processing of both news content and social streams in multiple languages, in different formats and in high volumes; deduplication; entity detection and disambiguation; automatic summarization; and news recommendation. Although Information Retrieval (IR) applied to news has been a popular research area for decades, fresh approaches are needed due to the changing type and volume of media content available and the way people consume this content. The goal of this workshop is to stimulate discussion around new and powerful uses of IR applied to news sources and the intersection of multiple IR tasks to solve real user problems. To promote research efforts in this area, we released a new dataset consisting of one million news articles to the research community and introduced a data challenge track as part of the workshop. © Springer International Publishing Switzerland 2016.
URI: http://repositorio.inesctec.pt/handle/123456789/4366
http://dx.doi.org/10.1007/978-3-319-30671-1_85
metadata.dc.type: conferenceObject
Publication
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