Human Brains Can’t Detect Fake News: A Neuro-Cognitive Study of Textual Disinformation Susceptibility

Arisoy, Cagri; Mandal, Anuradha; Saxena, Nitesh

doi:10.1109/pst55820.2022.9851990

Cited by 2 publications

(5 citation statements)

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“…The sensitivity to fake news attacks depends on whether Internet users think fake news articles/clips are real after reading them. Arisoy et al [52] tried to understand the sensitivity of users to text-centric fake news attacks through neurocognitive methods. They studied the neural basis related to fake news and real news through electroencephalograms (EEG), designed and ran EEG experiments on human users and analyzed the neural activities related to fake news and real news detection tasks of different types of news articles.…”

Section: Neuro-cognitive Sciencementioning

confidence: 99%

Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice

Yuan,

Jiang,

Shen

et al. 2023

Systems

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With the popularization of digital technology, the problem of information pollution caused by fake news has become more common. Malicious dissemination of harmful, offensive or illegal content may lead to misleading, misunderstanding and social unrest, affecting social stability and sustainable economic development. With the continuous iteration of artificial intelligence technology, researchers have carried out automatic and intelligent news data mining and analysis based on aspects of information characteristics and realized the effective identification of fake news information. However, the current research lacks the application of multidisciplinary knowledge and research on the interpretability of related methods. This paper focuses on the existing fake news detection technology. The survey includes fake news datasets, research methods for fake news detection, general technical models and multimodal related technical methods. The innovation contribution is to discuss the research progress of fake news detection in communication, linguistics, psychology and other disciplines. At the same time, it classifies and summarizes the explainable fake news detection methods and proposes an explainable human-machine-theory triangle communication system, aiming at establishing a people-centered, sustainable human–machine interaction information dissemination system. Finally, we discuss the promising future research topics of fake news detection technology.

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Section: Neuro-cognitive Sciencementioning

confidence: 99%

Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice

Yuan,

Jiang,

Shen

et al. 2023

Systems

View full text Add to dashboard Cite

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“…Greene and Murphy (2020), Escolà-Gascón et al ( 2023), and Arisoy et al (2022) all focused on the individual factors that affect the susceptibility to fake news, and the effect of said susceptibility on individuals. Greene and Murphy (2020) found that true knowledge about a topic and self-reported knowledge with that topic exert independent effects on the memory.…”

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confidence: 99%

“…They also stated that individuals who do not effectively detect fake news tend to have higher levels of both state and trait anxiety, and that profiles of this type may inappropriately employ intuitive thinking and are highly suggestible. Arisoy et al (2022) studied the biological limits of fake news susceptibility and discernment through a neuroscience study in the United States. Analysing the neural activity (i.e., EEG) associated with fake vs. real news detection in multiple news articles, the authors found that fake news articles may seem almost indistinguishable from the real news articles in both the behavioural and neural domains, meaning that there are no statistically significant differences in neural activities when exposed to real vs. fake news.…”

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confidence: 99%

“…Our dataset focusing on science and health-related fake news susceptibility included four stand-alone studies (Arisoy et al, 2022;Greene and Murphy, 2020;Savolainen, 2022;Escolà-Gascón et al, 2023), a literature review (Nan et al, 2022), and a compilation of article submissions for a journal's special issue (Rutjens et al, 2021).…”

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confidence: 99%

“…The study, however, did find that there are significant differences in the neural activity when users are evaluating real or fake news articles vs. when they are not evaluating anything (i.e., resting). Arisoy et al (2022) argued that this neuro-cognitive insight helps justify the users' susceptibility to fake news attacks from a biological standpoint, which has implications when judging, understanding, and even applying measures towards fake newswww.efsa.europa.eu/publications EFSA Supporting publication 2024:EN-8863…”

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confidence: 99%

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Development of a roadmap for action on Evidence‐based risk communication in the EU Food Safety System

Rodés‐Sánchez,

Pozzi,

Sunyer‐Vidal

et al. 2024

EFSA Supporting Publications

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In March 2021, the European Food Safety Authority (EFSA) published the report ‘Technical assistance in the field of risk communication’, outlining four key areas for advancing scientific evidence to cover knowledge gaps in food safety related risk communication research. The four areas covered included: (1) false information related to food safety (2) effectiveness of transparency initiatives (3) insights into consumer trade‐offs related to risks and benefits (4) linking factors behind perception and behaviour. The successive EFSA theme paper on ‘Evidence‐based risk communication in the EU food system’ clarified the scope and objectives within each research area. Building on the findings in these two publications, an action Roadmap was developed which delves deeper into these areas and identifies key challenges and knowledge gaps through rigorous desk research, literature reviews, and interviews with key stakeholders. The produced roadmap outlines eight project proposals each addressing specific needs and covers all the four areas. By implementing the proposals outlined and described throughout the report, EFSA will be able to further improve risk communication including cooperation and engagement with its stakeholders in the EU food safety ecosystem. Each proposal details suggested activities to be performed, expected impact, potential challenges, collaboration and cooperation opportunities and is supported by SWOT and PESTLE analyses. Finally, a prioritisation strategy is presented for the implementation of the proposals within and across the four research areas in the short and medium term.

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Human Brains Can’t Detect Fake News: A Neuro-Cognitive Study of Textual Disinformation Susceptibility

Cited by 2 publications

References 0 publications

Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice

Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice

Development of a roadmap for action on Evidence‐based risk communication in the EU Food Safety System

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