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Combating information warfare: state and trends in user-centred countermeasures against fake news and misinformation.

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Title: Combating information warfare: state and trends in user-centred countermeasures against fake news and misinformation.
Authors: Reuter, Christian, Lee Hughes, Amanda, Buntain, Cody
Source: Behaviour & Information Technology. Aug2025, Vol. 44 Issue 13, p3348-3361. 14p.
Subjects: Social media, Data security, Disinformation, Selective dissemination of information, Misinformation, Crisis intervention (Mental health services), Public opinion, Information services, Information literacy, Medical emergencies, User interfaces, COVID-19 pandemic, Emergency management, Disclosure
Abstract: The rise of fake news and misinformation in the digital age poses serious risks for individuals and society, particularly during crises like the Israel-Hamas war, the Russian-Ukraine war, or the COVID-19 pandemic. Misinformation serves as a tool to manipulate public opinion and create discord. Vulnerability to manipulation increases in online spaces during crises, where authoritative information is scarce. Emergency management, public health, political and public administration, as well as media professionals and citizens express concern and seek solutions to enhance information quality during such critical times. This article highlights user-centred approaches to countering fake news and misinformation, tracing their historical evolution from ancient Greece to the present, focussing on their relevance during the COVID-19 crisis and in contemporary information warfare. It describes the vulnerability of audiences to misinformation and outlines prevailing trends in user-centred countermeasures. This article also introduces recent research on the effectiveness of media literacy interventions on truth discernment, a cross-cultural comparison of the perception of negative consequences and the injunctive norm, a comparison of video and text to promote lateral reading in adolescents, content-specific indicators on Twitter from a user perspective, a learning system for detecting misinformation as well as ethical and security considerations in automated detection. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Combating information warfare: state and trends in user-centred countermeasures against fake news and misinformation.
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  Data: <searchLink fieldCode="AR" term="%22Reuter%2C+Christian%22">Reuter, Christian</searchLink><br /><searchLink fieldCode="AR" term="%22Lee+Hughes%2C+Amanda%22">Lee Hughes, Amanda</searchLink><br /><searchLink fieldCode="AR" term="%22Buntain%2C+Cody%22">Buntain, Cody</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Disinformation%22">Disinformation</searchLink><br /><searchLink fieldCode="DE" term="%22Selective+dissemination+of+information%22">Selective dissemination of information</searchLink><br /><searchLink fieldCode="DE" term="%22Misinformation%22">Misinformation</searchLink><br /><searchLink fieldCode="DE" term="%22Crisis+intervention+%28Mental+health+services%29%22">Crisis intervention (Mental health services)</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Information+services%22">Information services</searchLink><br /><searchLink fieldCode="DE" term="%22Information+literacy%22">Information literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+emergencies%22">Medical emergencies</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Emergency+management%22">Emergency management</searchLink><br /><searchLink fieldCode="DE" term="%22Disclosure%22">Disclosure</searchLink>
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  Data: The rise of fake news and misinformation in the digital age poses serious risks for individuals and society, particularly during crises like the Israel-Hamas war, the Russian-Ukraine war, or the COVID-19 pandemic. Misinformation serves as a tool to manipulate public opinion and create discord. Vulnerability to manipulation increases in online spaces during crises, where authoritative information is scarce. Emergency management, public health, political and public administration, as well as media professionals and citizens express concern and seek solutions to enhance information quality during such critical times. This article highlights user-centred approaches to countering fake news and misinformation, tracing their historical evolution from ancient Greece to the present, focussing on their relevance during the COVID-19 crisis and in contemporary information warfare. It describes the vulnerability of audiences to misinformation and outlines prevailing trends in user-centred countermeasures. This article also introduces recent research on the effectiveness of media literacy interventions on truth discernment, a cross-cultural comparison of the perception of negative consequences and the injunctive norm, a comparison of video and text to promote lateral reading in adolescents, content-specific indicators on Twitter from a user perspective, a learning system for detecting misinformation as well as ethical and security considerations in automated detection. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/0144929X.2024.2442486
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 3348
    Subjects:
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Data security
        Type: general
      – SubjectFull: Disinformation
        Type: general
      – SubjectFull: Selective dissemination of information
        Type: general
      – SubjectFull: Misinformation
        Type: general
      – SubjectFull: Crisis intervention (Mental health services)
        Type: general
      – SubjectFull: Public opinion
        Type: general
      – SubjectFull: Information services
        Type: general
      – SubjectFull: Information literacy
        Type: general
      – SubjectFull: Medical emergencies
        Type: general
      – SubjectFull: User interfaces
        Type: general
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Emergency management
        Type: general
      – SubjectFull: Disclosure
        Type: general
    Titles:
      – TitleFull: Combating information warfare: state and trends in user-centred countermeasures against fake news and misinformation.
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              Text: Aug2025
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              Y: 2025
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