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A Comment on "A Systematic Review of Worldwide Causal and Correlational Evidence on Digital Media and Democracy" by Lorenz-Spreen et al., (2023)

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  • Xia, Ziqian
  • Ye, Jinquan
  • Debnath, Ramit

Abstract

In this study, we conduct a direct replication of Lorenz-Spreen et al. (2023)'s systematic review on digital media and democracy to verify and enhance the robustness of their findings. We successfully reproduce the main claims of the original paper, uncovering a few minor coding errors that do not affect the study's primary results. Our replication updates the dataset with recent publications up to March 23, 2024. After screening 2,567 papers, we included 110 that met the original study's criteria. We then replicated the results from original paper and employed topic modeling and word frequency analysis to identify key themes and trends. This replication confirms the original findings and provides an updated perspective on the relationship between digital media and democracy.

Suggested Citation

  • Xia, Ziqian & Ye, Jinquan & Debnath, Ramit, 2025. "A Comment on "A Systematic Review of Worldwide Causal and Correlational Evidence on Digital Media and Democracy" by Lorenz-Spreen et al., (2023)," I4R Discussion Paper Series 206, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:206
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    References listed on IDEAS

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    1. Abel Brodeur & Anna Dreber & Fernando Hoces de la Guardia & Edward Miguel, 2024. "Reproduction and replication at scale," Nature Human Behaviour, Nature, vol. 8(1), pages 2-3, January.
    2. Philipp Lorenz-Spreen & Lisa Oswald & Stephan Lewandowsky & Ralph Hertwig, 2023. "A systematic review of worldwide causal and correlational evidence on digital media and democracy," Nature Human Behaviour, Nature, vol. 7(1), pages 74-101, January.
    3. Anne J. Sietsma & James D. Ford & Jan C. Minx, 2024. "The next generation of machine learning for tracking adaptation texts," Nature Climate Change, Nature, vol. 14(1), pages 31-39, January.
    4. Xiangyu Wang & Min Zhang & Weiguo Fan & Kang Zhao, 2022. "Understanding the spread of COVID‐19 misinformation on social media: The effects of topics and a political leader's nudge," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 726-737, May.
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