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Fake News Detection based on Summarized News Text
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논문 기본 정보

Type
Proceeding
Author
Jie Bian (KAIST) Seungeon Lee (KAIST) Karandeep Singh (Institute for Basic Science) Meeyoung Cha (Institute for Basic Science)
Journal
Korean Institute of Information Scientists and Engineers 한국정보과학회 학술발표논문집 Korea Computer Congress 2021
Published
2021.6
Pages
846 - 848 (3page)

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Topic
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Background
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Method
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Result
Fake News Detection based on Summarized News Text
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This research explores the potential use of text summarization in fake news detection. Text summarization can assist human fact-checkers quickly process the massive amounts of content that need to be handled. Yet, its potential benefit in fake news detection has not been explored thoroughly. This paper is an early report that shows how succinc ... View All

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