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Can shifting attention to accuracy reduce misinformation on social media? A replication and extension in China

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  • Zhiming Liu

    (School of Public Management, South China Agricultural University)

Abstract

The inattention-based theory of Pennycook et al. (2020) holds that because social media context focuses attention on factors other than accuracy the sharing of online misinformation is often unintentional. They provided evidence in the context of COVID-19 misinformation by conducting two survey experiments with more than 1700 U.S. participants. The present study replicates and expands on the original study of Pennycook et al. (2020) through research on the spread of misinformation about COVID-19 in China. The study recruited 1319 participants through the Credamo platform for three survey experiments and found support for the original findings. First, participants discern far less between true and false information when asked about share intention compare to when asked about the accuracy of the information. Second, an intervention that nudges people to think about accuracy by asking participants to evaluate the accuracy of information unrelated to COVID-19 can significantly improve the quality of information sharing. Third, inattention-based theory can explain more than 37% of COVID-19 misinformation sharing in China.

Suggested Citation

  • Zhiming Liu, 2025. "Can shifting attention to accuracy reduce misinformation on social media? A replication and extension in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05233-9
    DOI: 10.1057/s41599-025-05233-9
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    References listed on IDEAS

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    1. Nic Fleming, 2020. "Coronavirus misinformation, and how scientists can help to fight it," Nature, Nature, vol. 583(7814), pages 155-156, July.
    2. Antonio A. Arechar & Jennifer Allen & Adam J. Berinsky & Rocky Cole & Ziv Epstein & Kiran Garimella & Andrew Gully & Jackson G. Lu & Robert M. Ross & Michael N. Stagnaro & Yunhao Zhang & Gordon Pennyc, 2023. "Understanding and combatting misinformation across 16 countries on six continents," Nature Human Behaviour, Nature, vol. 7(9), pages 1502-1513, September.
    3. Mohsen Mosleh & Gordon Pennycook & Antonio A. Arechar & David G. Rand, 2021. "Cognitive reflection correlates with behavior on Twitter," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Gordon Pennycook & Ziv Epstein & Mohsen Mosleh & Antonio A. Arechar & Dean Eckles & David G. Rand, 2021. "Shifting attention to accuracy can reduce misinformation online," Nature, Nature, vol. 592(7855), pages 590-595, April.
    5. Bence Bago & David Rand & Gordon Pennycook, 2020. "Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines," Post-Print hal-03477497, HAL.
    6. Antonio A. Arechar & Jennifer Allen & Adam J. Berinsky & Rocky Cole & Ziv Epstein & Kiran Garimella & Andrew Gully & Jackson G. Lu & Robert M. Ross & Michael N. Stagnaro & Yunhao Zhang & Gordon Pennyc, 2023. "Author Correction: Understanding and combatting misinformation across 16 countries on six continents," Nature Human Behaviour, Nature, vol. 7(10), pages 1797-1797, October.
    7. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
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