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Social media prompts to encourage intervening with cancer treatment misinformation

Author

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  • Lazard, Allison J.
  • Queen, Tara Licciardello
  • Pulido, Marlyn
  • Lake, Shelby
  • Nicolla, Sydney
  • Tan, Hung-Jui
  • Charlot, Marjory
  • Smitherman, Andrew B.
  • Dasgupta, Nabarun

Abstract

Misinformation about false and potentially harmful cancer treatments and cures are shared widely on social media. Strategies to encourage the cancer community to prosocially intervene, by flagging and reporting false posts, are needed to reduce cancer treatment misinformation. Automated prompts encouraging flagging of misinformation are a promising approach to increase intervening. Prompts may be more effective with social cues for others’ actions and clear platform policies. We examined whether prompts alone (referred to as standard prompts) or social cue prompts with a policy for removing posts would lead to more intervening, less sharing, and impact cognitive predictors of the Bystander Intervention Model (e.g., responsibility). We recruited U.S. adults in cancer networks for a within-persons, longitudinal experiment (Time 1–4). We randomized the viewing order of 1) standard prompts or 2) social cue prompts and policy, switching conditions at Time 3. Prompts encouraged intervening (flagging) without leading to other unintended actions. Participants more frequently flagged misinformation (prompted, 24–33 %) than disliking (unprompted, 3–12 %) or liking (unintended, 4–35 %) on the simulated feed. Initially (Time 1–2), social cue prompts (vs. standard) encouraged more willingness to intervene and perceived responsibility, p = .01-0.03; however, there were no differences after (Time 3–4), potentially due to carryover effects. Prompts (also called warnings, nudges, or labels) alerting viewers of cancer treatment misinformation is a promising approach to encourage intervening (flagging). Prompts can be enhanced with social cues (i.e., counts of others who flagged) and clear platform policies to encourage the cancer community to reduce misinformation on social media.

Suggested Citation

  • Lazard, Allison J. & Queen, Tara Licciardello & Pulido, Marlyn & Lake, Shelby & Nicolla, Sydney & Tan, Hung-Jui & Charlot, Marjory & Smitherman, Andrew B. & Dasgupta, Nabarun, 2025. "Social media prompts to encourage intervening with cancer treatment misinformation," Social Science & Medicine, Elsevier, vol. 372(C).
  • Handle: RePEc:eee:socmed:v:372:y:2025:i:c:s0277953625002795
    DOI: 10.1016/j.socscimed.2025.117950
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    1. 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.
    2. Xue, Xiang & Ma, Haiyun & Zhao, Yuxiang (Chris) & Zhu, Qinghua & Song, Shijie, 2024. "Mitigating the influence of message features on health misinformation sharing intention in social media: Experimental evidence for accuracy-nudge intervention," Social Science & Medicine, Elsevier, vol. 356(C).
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