Survey on Vision based Fake News Detection and its Impact Analysis

Mehul S. Raval, Mohendra Roy, Minoru Kuribayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fake news is a post containing multimedia content and misrepresents the event that it is covering. A large number of fake news detection(FND) techniques rely on text analysis and very little attention has been paid to visual content-based detection. Deep learning-based generative models have increased the complexity by creating ultra-realistic phony media content and most detection techniques fail when dealing with such synthesized media. Therefore, the paper surveys the vision-based FND and improves our understanding of the role of visual content in detection. At the same time, it is important to study propagation characteristics and find an impact analysis of fake news. The existing review papers do not combine two parts - detection and impact analysis. Therefore, the proposed survey paper focuses on FND with face manipulation and also performs its impact analysis.

Original languageEnglish
Title of host publicationProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1837-1841
Number of pages5
ISBN (Electronic)9786165904773
DOIs
Publication statusPublished - 2022
Event2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 - Chiang Mai, Thailand
Duration: Nov 7 2022Nov 10 2022

Publication series

NameProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022

Conference

Conference2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Country/TerritoryThailand
CityChiang Mai
Period11/7/2211/10/22

Keywords

  • Computer Vision
  • Deep Fake
  • Deep Learning
  • Detection
  • Fake News
  • Impact Analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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