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Replication of Chan and Albarracín (2023) "A meta-analysis of correction effects in sciencerelevant misinformation"

Author

Listed:
  • Hu, Bo
  • Lu, Chang
  • Yang, Jianxun

Abstract

Chan M.-P.S. and Albarracín D. (2023) examined the impact of correction strategies on mitigating science-relevant misinformation, and found debunking effect was not significant. We replicated their study using the provided replication package, including raw data and analysis code. Our computational reproducibility confirmed the main results. However, our RoBMA analysis showed BF10 values of 1.422 with outliers and 1.437 without outliers, differing from the original study, suggesting lower publication bias. In our robustness reproducibility checks, we found discrepancies. While the misinformation correction effect became significant with different meta-analytic methods, cumulative meta-analysis showed no significant changes over time or with increasing sample sizes. Additionally, the WAAP-WLS analysis indicated no publication bias. These results suggest that while some findings align, the robustness of the debunking effect varies with analytical methods.

Suggested Citation

  • Hu, Bo & Lu, Chang & Yang, Jianxun, 2025. "Replication of Chan and Albarracín (2023) "A meta-analysis of correction effects in sciencerelevant misinformation"," I4R Discussion Paper Series 276, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:276
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    File URL: https://www.econstor.eu/bitstream/10419/333871/1/I4R-DP276.pdf
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    References listed on IDEAS

    as
    1. Man-pui Sally Chan & Dolores Albarracín, 2023. "A meta-analysis of correction effects in science-relevant misinformation," Nature Human Behaviour, Nature, vol. 7(9), pages 1514-1525, September.
    2. Sander Linden & Matthew H. Goldberg, 2020. "Alternative meta-analysis of behavioral interventions to promote action on climate change yields different conclusions," Nature Communications, Nature, vol. 11(1), pages 1-2, December.
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