IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/25589.html
   My bibliography  Save this paper

When Celebrities Speak: A Nationwide Twitter Experiment Promoting Vaccination In Indonesia

Author

Listed:
  • Vivi Alatas
  • Arun G. Chandrasekhar
  • Markus Mobius
  • Benjamin A. Olken
  • Cindy Paladines

Abstract

Celebrity endorsements are often sought to influence public opinion. We ask whether celebrity endorsement per se has an effect beyond the fact that their statements are seen by many, and whether on net their statements actually lead people to change their beliefs. To do so, we conducted a nationwide Twitter experiment in Indonesia with 46 high-profile celebrities and organizations, with a total of 7.8 million followers, who agreed to let us randomly tweet or retweet content promoting immunization from their accounts. Our design exploits the structure of what information is passed on along a retweet chain on Twitter to parse reach versus endorsement effects. Endorsements matter: tweets that users can identify as being originated by a celebrity are far more likely to be liked or retweeted by users than similar tweets seen by the same users but without the celebrities' imprimatur. By contrast, explicitly citing sources in the tweets actually reduces diffusion. By randomizing which celebrities tweeted when, we find suggestive evidence that overall exposure to the campaign may influence beliefs about vaccination and knowledge of immunization-seeking behavior by one's network. Taken together, the findings suggest an important role for celebrity endorsement.

Suggested Citation

  • Vivi Alatas & Arun G. Chandrasekhar & Markus Mobius & Benjamin A. Olken & Cindy Paladines, 2019. "When Celebrities Speak: A Nationwide Twitter Experiment Promoting Vaccination In Indonesia," NBER Working Papers 25589, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25589
    Note: DEV POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w25589.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dean Karlan & John A List, 2012. "How Can Bill and Melinda Gates Increase Other People’s Donations to Fund Public Goods?," Working Papers id:4880, eSocialSciences.
    2. Nadia Campaniello & Ciarlantini Sara & Mollisi Vincenzo, 2024. "The impact of Twitter on consumption: Evidence from museums," Working papers 089, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    3. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
    4. Mayank Aggarwal & Anindya S. Chakrabarti & Chirantan Chatterjee, 2023. "Movies, stigma and choice: Evidence from the pharmaceutical industry," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1019-1039, May.
    5. Van Der Weide,Roy, 2022. "Inferring COVID-19 Vaccine Attitudes from Twitter Data : An Application to the ArabicSpeaking World," Policy Research Working Paper Series 10165, The World Bank.
    6. Lisa Ho & Emily Breza & Abhijit Banerjee & Arun G. Chandrasekhar & Fatima C. Stanford & Renato Fior & Paul Goldsmith-Pinkham & Kelly Holland & Emily Hoppe & Louis- Maël Jean & Lucy Ogbu-Nwobodo & Benj, 2023. "The Impact of Large-Scale Social Media Advertising Campaigns on COVID-19 Vaccination: Evidence from Two Randomized Controlled Trials," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 653-658, May.
    7. Nicolás Ajzenman & Tiago Cavalcanti & Daniel Da Mata, 2023. "More than Words: Leaders' Speech and Risky Behavior during a Pandemic," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 351-371, August.
    8. Carattini, Stefano & Gosnell, Greer & Tavoni, Alessandro, 2020. "How developed countries can learn from developing countries to tackle climate change," World Development, Elsevier, vol. 127(C).
    9. Mehmood, Sultan & Naseer, Shaheen & Chen, Daniel L., 2022. "Training Effective Altruism," TSE Working Papers 22-1390, Toulouse School of Economics (TSE).
    10. Ho, Thong Quoc & Nie, Zihan & Alpizar, Francisco & Carlsson, Fredrik & Nam, Pham Khanh, 2022. "Celebrity endorsement in promoting pro-environmental behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 68-86.
    11. Karlan, Dean & List, John A., 2020. "How can Bill and Melinda Gates increase other people's donations to fund public goods?," Journal of Public Economics, Elsevier, vol. 191(C).
    12. Barrera,Oscar & Macours,Karen & Premand,Patrick & Vakis,Renos, 2020. "Texting Parents about Early Child Development : Behavioral Changes and Unintended Social Effects," Policy Research Working Paper Series 9492, The World Bank.
    13. Donati,Dante & Orozco Olvera,Victor Hugo & Rao,Nandan Mark, 2022. "Using Social Media to Change Gender Norms : An Experiment within Facebook Messenger in India," Policy Research Working Paper Series 10199, The World Bank.
    14. Chowdhury, Shyamal & Satish, Varun & Sulaiman, Munshi & Sun, Yi, 2021. "Sooner Rather Than Later: Social Networks and Technology Adoption," IZA Discussion Papers 14307, Institute of Labor Economics (IZA).
    15. Emily Breza & Fatima Cody Stanford & Marcella Alsan & Burak Alsan & Abhijit Banerjee & Arun G. Chandrasekhar & Sarah Eichmeyer & Traci Glushko & Paul Goldsmith-Pinkham & Kelly Holland & Emily Hoppe & , 2021. "Doctors' and Nurses' Social Media Ads Reduced Holiday Travel and COVID-19 Infections: A Cluster Randomized Controlled Trial," NBER Working Papers 29021, National Bureau of Economic Research, Inc.
    16. Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
    17. Cátia Batista & Marcel Fafchamps & Pedro C Vicente, 2022. "Keep It Simple: A Field Experiment on Information Sharing among Strangers [Changing Saving and Investment Behavior: The Impact of Financial Literacy Training and Reminders on Micro-Businesses]," The World Bank Economic Review, World Bank, vol. 36(4), pages 857-888.
    18. Shehryar Munir & Farah Said & Umar Taj & Maida Zafar, 2022. "Digital 'nudges' to increase childhood vaccination compliance: Evidence from Pakistan," Papers 2209.06624, arXiv.org.
    19. Chowdhury, Shyamal & Satish, Varun & Sulaiman, Munshi & Sun, Yi, 2022. "Sooner rather than later: Social networks and technology adoption," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 466-482.
    20. Cao, Andy & Lindo, Jason M. & Zhong, Jiee, 2023. "Can social media rhetoric incite hate incidents? Evidence from Trump's “Chinese Virus” tweets," Journal of Urban Economics, Elsevier, vol. 137(C).
    21. Li, Jian & Zhou, Junjie & Chen, Ying-Ju, 2021. "The Limit of Targeting in Networks," ISU General Staff Papers 202112081957590000, Iowa State University, Department of Economics.
    22. Aassve,Arnstein & Capezzone,Tommaso & Cavalli,Nicolo’ & Conzo,Pierluigi & Peng,Chen, 2022. "Trust in the time of coronavirus: longitudinal evidence from the United States," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202203, University of Turin.
    23. Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
    24. Li, Jian & Zhou, Junjie & Chen, Ying-Ju, 2022. "The limit of targeting in networks," Journal of Economic Theory, Elsevier, vol. 201(C).
    25. Abhijit Banerjee & Marcella Alsan & Emily Breza & Arun G. Chandrasekhar & Abhijit Chowdhury & Esther Duflo & Paul Goldsmith-Pinkham & Benjamin A. Olken, 2020. "Messages on COVID-19 Prevention in India Increased Symptoms Reporting and Adherence to Preventive Behaviors Among 25 Million Recipients with Similar Effects on Non-recipient Members of Their Communiti," NBER Working Papers 27496, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:25589. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.