Articles By

Gordon Pennycook

How effective are TikTok misinformation debunking videos?

Puneet Bhargava, Katie MacDonald, Christie Newton, Hause Lin and Gordon Pennycook

TikTok provides opportunity for citizen-led debunking where users correct other users’ misinformation. In the present study (N=1,169), participants either watched and rated the credibility of (1) a misinformation video, (2) a correction video, or (3) a misinformation video followed by a correction video (“debunking”).

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Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online

Ziv Epstein, Adam J. Berinsky, Rocky Cole, Andrew Gully, Gordon Pennycook and David G. Rand

Recent research suggests that shifting users’ attention to accuracy increases the quality of news they subsequently share online. Here we help develop this initial observation into a suite of deployable interventions for practitioners. We ask (i) how prior results generalize to other approaches for prompting users to consider accuracy, and (ii) for whom these prompts are more versus less effective.

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Research Note

Research note: Examining false beliefs about voter fraud in the wake of the 2020 Presidential Election

Gordon Pennycook and David G. Rand

The 2020 U.S. Presidential Election saw an unprecedented number of false claims alleging election fraud and arguing that Donald Trump was the actual winner of the election. Here we report a survey exploring belief in these false claims that was conducted three days after Biden was declared the winner.

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Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media

Nicholas Dias, Gordon Pennycook and David G. Rand

Survey experiments with nearly 7,000 Americans suggest that increasing the visibility of publishers is an ineffective, and perhaps even counterproductive, way to address misinformation on social media. Our findings underscore the importance of social media platforms and civil society organizations evaluating interventions experimentally rather than implementing them based on intuitive appeal.

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