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Politicized Scientists: Credibility Cost of Political Expression on Twitter

Author

Listed:
  • 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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    as
    1. Peter Andrebriq & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2022. "Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 2958-2991.
    2. Eichengreen, Barry & Aksoy, Cevat Giray & Saka, Orkun, 2021. "Revenge of the experts: Will COVID-19 renew or diminish public trust in science?," Journal of Public Economics, Elsevier, vol. 193(C).
    3. Felix Chopras & Ingar Haaland & Christopher Roth, 2024. "The Demand for News: Accuracy Concerns Versus Belief Confirmation Motives," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1806-1834.
    4. James N. Druckman & Mary C. McGrath, 2019. "The evidence for motivated reasoning in climate change preference formation," Nature Climate Change, Nature, vol. 9(2), pages 111-119, February.
    5. Martial Foucault & Yann Algan & Daniel Cohen & Eva Davoine & Stefanie Stantcheva, 2021. "Trust in scientists in times of pandemic: Panel evidence from 12 countries," Post-Print hal-03423522, HAL.
    6. repec:wrk:wrkemf:22 is not listed on IDEAS
    7. Julia Cagé & Nicolas Hervé & Marie-Luce Viaud, 2020. "The Production of Information in an Online World," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2126-2164.
    8. Floyd Jiuyun Zhang, 2023. "Political endorsement by Nature and trust in scientific expertise during COVID-19," Nature Human Behaviour, Nature, vol. 7(5), pages 696-706, May.
    9. Vojtěch Bartoš & Michal Bauer & Jana Cahlíková & Julie Chytilová, 2022. "Communicating doctors’ consensus persistently increases COVID-19 vaccinations," Nature, Nature, vol. 606(7914), pages 542-549, June.
    10. Levi Boxell & Matthew Gentzkow & Jesse M. Shapiro, 2024. "Cross-Country Trends in Affective Polarization," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 557-565, March.
    11. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    12. Andrey Simonov & Szymon K. Sacher & Jean-Pierre H. Dubé & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the Covid-19 Pandemic," NBER Working Papers 27237, National Bureau of Economic Research, Inc.
    13. Judd B. Kessler & Corinne Low & Colin D. Sullivan, 2019. "Incentivized Resume Rating: Eliciting Employer Preferences without Deception," American Economic Review, American Economic Association, vol. 109(11), pages 3713-3744, November.
    14. Pablo Brañas-Garza & Diego Jorrat & Antonio M. Espín & Angel Sánchez, 2023. "Paid and hypothetical time preferences are the same: lab, field and online evidence," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 412-434, April.
    15. Charles Angelucci & Andrea Prat, 2024. "Is Journalistic Truth Dead? Measuring How Informed Voters Are about Political News," American Economic Review, American Economic Association, vol. 114(4), pages 887-925, April.
    16. Leonardo Bursztyn & Michael Callen & Bruno Ferman & Saad Gulzar & Ali Hasanain & Noam Yuchtman, 2020. "Political Identity: Experimental Evidence on Anti-Americanism in Pakistan [Economics And Identity]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2532-2560.
    17. Niels G. Mede, 2022. "Legacy media as inhibitors and drivers of public reservations against science: global survey evidence on the link between media use and anti-science attitudes," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    18. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    19. Esteban, Joan & Ray, Debraj, 1994. "On the Measurement of Polarization," Econometrica, Econometric Society, vol. 62(4), pages 819-851, July.
    20. Julio J. Elías & Nicola Lacetera & Mario Macis, 2019. "Paying for Kidneys? A Randomized Survey and Choice Experiment," American Economic Review, American Economic Association, vol. 109(8), pages 2855-2888, August.
    21. Dan M. Kahan & Hank Jenkins-Smith & Donald Braman, 2011. "Cultural cognition of scientific consensus," Journal of Risk Research, Taylor & Francis Journals, vol. 14(2), pages 147-174, February.
    22. Ingvild Almås & Orazio Attanasio & Pamela Jervis, 2023. "Economics and Measurement: New measures to model decision making," NBER Working Papers 30839, National Bureau of Economic Research, Inc.
    23. Victor Stango & Jonathan Zinman, 2023. "We Are All Behavioural, More, or Less: A Taxonomy of Consumer Decision-Making," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(3), pages 1470-1498.
    24. Michael Blastland & Alexandra L. J. Freeman & Sander van der Linden & Theresa M. Marteau & David Spiegelhalter, 2020. "Five rules for evidence communication," Nature, Nature, vol. 587(7834), pages 362-364, November.
    25. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    26. Alexander J. Stewart & Mohsen Mosleh & Marina Diakonova & Antonio A. Arechar & David G. Rand & Joshua B. Plotkin, 2019. "Information gerrymandering and undemocratic decisions," Nature, Nature, vol. 573(7772), pages 117-121, September.
    27. Eleonora Alabrese, 2022. "Bad Science: Retractions and Media Coverage," CESifo Working Paper Series 10195, CESifo.
    28. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    29. Grimmer, Justin, 2010. "A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases," Political Analysis, Cambridge University Press, vol. 18(1), pages 1-35, January.
    30. John A. List & David Lucking-Reiley, 2002. "The Effects of Seed Money and Refunds on Charitable Giving: Experimental Evidence from a University Capital Campaign," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 215-233, February.
    31. Mirko Draca & Carlo Schwarz, 2024. "How Polarised are Citizens? Measuring Ideology from the Ground up," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1950-1984.
    32. Matthew Gentzkow & Jesse M. Shapiro, 2006. "Media Bias and Reputation," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 280-316, April.
    33. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1799-1839.
    34. Garcia-Hombrados, Jorge & Jansen, Marcel & Martínez, Ángel & Özcan, Berkay & Rey-Biel, Pedro & Roldán-Monés, Antonio, 2024. "Ideological Alignment and Evidence-Based Policy Adoption," IZA Discussion Papers 17007, Institute of Labor Economics (IZA).
    35. Samara Klar & Yanna Krupnikov & John Barry Ryan & Kathleen Searles & Yotam Shmargad, 2020. "Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-15, April.
    36. John Ameriks & Joseph Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2020. "Long-Term-Care Utility and Late-in-Life Saving," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2375-2451.
    37. Benjamin Enke & Thomas Graeber & Ryan Oprea, 2023. "Confidence, Self-Selection, and Bias in the Aggregate," American Economic Review, American Economic Association, vol. 113(7), pages 1933-1966, July.
    38. Luca Braghieri, 2024. "Political Correctness, Social Image, and Information Transmission," American Economic Review, American Economic Association, vol. 114(12), pages 3877-3904, December.
    39. Shayo, Moses, 2009. "A Model of Social Identity with an Application to Political Economy: Nation, Class, and Redistribution," American Political Science Review, Cambridge University Press, vol. 103(2), pages 147-174, May.
    40. Alessandro Acquisti & Christina Fong, 2020. "An Experiment in Hiring Discrimination via Online Social Networks," Management Science, INFORMS, vol. 66(3), pages 1005-1024, March.
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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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