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Using the president’s tweets to understand political diversion in the age of social media

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Listed:
  • Stephan Lewandowsky

    (University of Bristol
    University of Western Australia)

  • Michael Jetter

    (University of Western Australia
    IZA
    CESifo)

  • Ullrich K. H. Ecker

    (University of Western Australia)

Abstract

Social media has arguably shifted political agenda-setting power away from mainstream media onto politicians. Current U.S. President Trump’s reliance on Twitter is unprecedented, but the underlying implications for agenda setting are poorly understood. Using the president as a case study, we present evidence suggesting that President Trump’s use of Twitter diverts crucial media (The New York Times and ABC News) from topics that are potentially harmful to him. We find that increased media coverage of the Mueller investigation is immediately followed by Trump tweeting increasingly about unrelated issues. This increased activity, in turn, is followed by a reduction in coverage of the Mueller investigation—a finding that is consistent with the hypothesis that President Trump’s tweets may also successfully divert the media from topics that he considers threatening. The pattern is absent in placebo analyses involving Brexit coverage and several other topics that do not present a political risk to the president. Our results are robust to the inclusion of numerous control variables and examination of several alternative explanations, although the generality of the successful diversion must be established by further investigation.

Suggested Citation

  • Stephan Lewandowsky & Michael Jetter & Ullrich K. H. Ecker, 2020. "Using the president’s tweets to understand political diversion in the age of social media," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19644-6
    DOI: 10.1038/s41467-020-19644-6
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    Cited by:

    1. Stefan Lehrner, 2022. "Agenda setting in social media election campaigns," Eximia Journal, Plus Communication Consulting SRL, vol. 5(1), pages 158-169, July.
    2. Amarasinghe, Ashani, 2023. "Public sentiment in times of terror," Journal of Development Economics, Elsevier, vol. 162(C).
    3. Timothy Besley & Thiemo Fetzer & Hannes Mueller, 2023. "How Big Is the Media Multiplier? Evidence from Dyadic News Data," CESifo Working Paper Series 10619, CESifo.
    4. Bräuninger, Thomas & Marinov, Nikolay, 2022. "Political elites and the “War on Truth’’," Journal of Public Economics, Elsevier, vol. 206(C).
    5. Amarasinghe, Ashani, 2022. "Diverting domestic turmoil," Journal of Public Economics, Elsevier, vol. 208(C).
    6. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Goutte, Stéphane, 2023. "How to ‘Trump’ the energy market: Evidence from the WTI-Brent spread," Energy Policy, Elsevier, vol. 179(C).
    7. Jana Lasser & Segun T. Aroyehun & Fabio Carrella & Almog Simchon & David Garcia & Stephan Lewandowsky, 2023. "From alternative conceptions of honesty to alternative facts in communications by US politicians," Nature Human Behaviour, Nature, vol. 7(12), pages 2140-2151, December.
    8. 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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