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Politicized Scientists: Credibility Cost of Political Expression on Twitter

Author

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  • Alabrese, Eleonora

    (University of Bath, CAGE and SAFE)

  • Capozza, Francesco

    (WZB Berlin, BSoE, and CESifo)

  • Garg, Prashant

    (Imperial College London)

Abstract

As social media is increasingly popular, we examine the reputational costs of its increased centrality among academics. Analyzing posts of 98,000 scientists on Twitter (2016-2022) reveals substantial and varied political discourse. We assess the impact of such online political expression with online experiments on a representative sample of 3,700 U.S. respondents and 135 journalists who rate vignettes of synthetic academic profiles with varied political affiliations. Politically neutral scientists are viewed as the most credible. Strikingly, on both the 'left' and 'right' sides of politically neutral, there is a monotonic penalty for scientists displaying political affiliations: the stronger their posts, the less credible their profile and research are perceived, and the lower the public's willingness to read their content, especially among oppositely aligned respondents. A survey of 128 scientists shows awareness of this penalty and a consensus on avoiding political expression outside their expertise.

Suggested Citation

  • Alabrese, Eleonora & Capozza, Francesco & Garg, Prashant, 2024. "Politicized Scientists: Credibility Cost of Political Expression on Twitter," CAGE Online Working Paper Series 735, Competitive Advantage in the Global Economy (CAGE).
    • Handle: RePEc:cge:wacage:735
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    Cited by:

    1. Prashant Garg & Thiemo Fetzer, 2025. "Causal Claims in Economics," Papers 2501.06873, arXiv.org.

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    More about this item

    Keywords

    Social Media; Scientists’ Credibility; Polarization; Online Experiment JEL Classification: A11; C93; D72; D83; D91; I23; Z10; Z13;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • Z10 - Other Special Topics - - Cultural Economics - - - General
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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