Book chapter
Unmasking Deception: How computer vision could empower journalists in unveiling visual misinformation
The Routledge Companion to Visual Journalism, pp.471-482
Taylor & Francis Group
2025
DOI: 10.4324/9781003391340-45
Abstract
Journalists in the digital media era have faced many challenges - including sorting online misinformation from accurate information in news reporting. In particular, the increasing presence of visual misinformation can be detrimental to journalism as visual information is especially powerful to audiences, and penetration of visual misinformation could potentially lead to significant distortions in audience perception and understanding of the issues journalists report. Various types of computer vision techniques have been developed to mitigate the influence of visual misinformation circulated online. This chapter explores computational models designed to detect visual misinformation and discusses how these computer vision tools can empower journalists in their efforts. It starts by explaining why it is important to understand and detect visual misinformation in the digital age. It then systematically reviews different types of online visual misinformation and their impact on journalism. The chapter further examines various computer vision techniques that automatically identify visual misinformation, highlighting their potential to assist journalists in identifying visual misinformation. Despite their merits, it concludes by identifying the limitations of current computer vision tools and stresses the importance of visual literacy education for journalists and audiences to combat online visual misinformation.
Details
- Title: Subtitle
- Unmasking Deception: How computer vision could empower journalists in unveiling visual misinformation
- Creators
- Sang Jung KimYingdan LuYilang Peng
- Contributors
- Nicole Dahmen (Editor)T.J. Thomson (Editor)
- Resource Type
- Book chapter
- Publication Details
- The Routledge Companion to Visual Journalism, pp.471-482
- DOI
- 10.4324/9781003391340-45
- Publisher
- Taylor & Francis Group; Oxford
- Alternative title
- Unmasking deception
- Language
- English
- Date published
- 2025
- Academic Unit
- Center for Social Science Innovation; School of Journalism and Mass Communication
- Record Identifier
- 9984848119002771
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