Quotation Ferranti, Nicolas, Krickl, Astrid, Nissl, Markus. 2021. Knowledge Graphs: Detection of Outdated News. 2021 International Semantic Web Conference Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters-Demos-Industry 2021, Virtual Confernce, United States/USA, 24.10.-28.10.


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Abstract

Every day, millions of news stories, articles, and blogs are shared and read throughout the world. As an input, recent study results and everyday occurrences shape how news are released; consequently, it is critical to work with current information, as obsolete information might be incorrect and dangerous in some circumstances, for example, false information about who won the presidential election in the United States, can lead to dangerous public confrontations, as we could observe. In this research, we propose a workflow for the detection of outdated articles with Knowledge Graphs, and analyze the reactivity of updates in DBPedia and Wikidata as possible sources for outdated news.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Poster presented at an academic conference or symposium
Language English
Title Knowledge Graphs: Detection of Outdated News
Event 2021 International Semantic Web Conference Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters-Demos-Industry 2021
Date 24.10.-28.10.
Location Virtual Confernce
Country United States/USA
Year 2021
URL http://ceur-ws.org/Vol-2980/paper360.pdf

Associations

People
Ferranti, Nicolas (Details)
Krickl, Astrid (Former researcher)
External
Nissl, Markus (TU Wien, Austria)
Organization
Institute for Information Systems and New Media IN (Details)
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