IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v291y2021ics0277953621008121.html
   My bibliography  Save this article

Conspiratorial thinking, selective exposure to conservative media, and response to COVID-19 in the US

Author

Listed:
  • Romer, Daniel
  • Jamieson, Kathleen Hall

Abstract

Previous research has shown that during the early months of the COVID-19 pandemic in the US, users of conservative media were more likely to accept conspiracy theories about the pandemic and less likely to accept pandemic mitigation measures such as mask-wearing and vaccination.

Suggested Citation

  • Romer, Daniel & Jamieson, Kathleen Hall, 2021. "Conspiratorial thinking, selective exposure to conservative media, and response to COVID-19 in the US," Social Science & Medicine, Elsevier, vol. 291(C).
  • Handle: RePEc:eee:socmed:v:291:y:2021:i:c:s0277953621008121
    DOI: 10.1016/j.socscimed.2021.114480
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953621008121
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2021.114480?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matthew Barnidge & Cynthia Peacock, 2019. "A Third Wave of Selective Exposure Research? The Challenges Posed by Hyperpartisan News on Social Media," Media and Communication, Cogitatio Press, vol. 7(3), pages 4-7.
    2. Romer, Daniel & Jamieson, Kathleen Hall, 2020. "Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S," Social Science & Medicine, Elsevier, vol. 263(C).
    3. Gregory Eady & Jonathan Nagler & Andy Guess & Jan Zilinsky & Joshua A. Tucker, 2019. "How Many People Live in Political Bubbles on Social Media? Evidence From Linked Survey and Twitter Data," SAGE Open, , vol. 9(1), pages 21582440198, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Claudy, Marius C. & Vijayakumar, Suhas & Campbell, Norah, 2022. "Reckless spreader or blameless victim? How vaccination status affects responses to COVID-19 patients," Social Science & Medicine, Elsevier, vol. 305(C).
    2. Mario Lackner & Uwe Sunde & Rudolf Winter-Ebmer, 2023. "The Forces Behind Social Unrest: Evidence from the Covid-19 Pandemic," Economics working papers 2023-07, Department of Economics, Johannes Kepler University Linz, Austria.
    3. Juvalta, Sibylle & Speranza, Camilla & Robin, Dominik & El Maohub, Yassmeen & Krasselt, Julia & Dreesen, Philipp & Dratva, Julia & Suggs, L. Suzanne, 2023. "Young people's media use and adherence to preventive measures in the “infodemic”: Is it masked by political ideology?," Social Science & Medicine, Elsevier, vol. 317(C).
    4. Nefes, Türkay Salim & Präg, Patrick & Romero-Reche, Alejandro & Pereira-Puga, Manuel, 2023. "Believing in conspiracy theories in Spain during the COVID-19 pandemic: Drivers and public health implications," Social Science & Medicine, Elsevier, vol. 336(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olga Khokhlova & Nishtha Lamba & Aditi Bhatia & Marina Vinogradova, 2021. "Biowarfare conspiracy, faith in government, and compliance with safety guidelines during COVID-19: an international study," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 20(2), pages 235-251, November.
    2. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    3. Yunhan Huang & Quanyan Zhu, 2022. "Game-Theoretic Frameworks for Epidemic Spreading and Human Decision-Making: A Review," Dynamic Games and Applications, Springer, vol. 12(1), pages 7-48, March.
    4. Stephanie L. Chan, 2021. "The Social Value of Public Information When Not Everyone is Privately Informed," Working Papers 2021-09-18, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    5. Walter, Dror & Ophir, Yotam & Lokmanoglu, Ayse D. & Pruden, Meredith L., 2022. "Vaccine discourse in white nationalist online communication: A mixed-methods computational approach," Social Science & Medicine, Elsevier, vol. 298(C).
    6. Raluca Buturoiu & Georgiana Udrea & Denisa-Adriana Oprea & Nicoleta Corbu, 2021. "Who Believes in Conspiracy Theories about the COVID-19 Pandemic in Romania? An Analysis of Conspiracy Theories Believers’ Profiles," Societies, MDPI, vol. 11(4), pages 1-16, November.
    7. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
    8. Gabriele Beccari & Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2023. "Refueling a Quiet Fire: Old Truthers and New Discontent in the Wake of Covid-19," CESifo Working Paper Series 10803, CESifo.
    9. Lisa Oswald, 2024. "More than news! Mapping the deliberative potential of a political online ecosystem with digital trace data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    10. Jianshan Sun & Jian Song & Yuanchun Jiang & Yezheng Liu & Jun Li, 2022. "Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 101-121, March.
    11. Pierluigi Conzo & Andrea Gallice & Juan S. Morales & Margaret Samahita & Laura K. Taylor, 2021. "Can Hearts Change Minds? Social media Endorsements and Policy Preferences," Carlo Alberto Notebooks 641, Collegio Carlo Alberto.
    12. Islam, Asad & Pakrashi, Debayan & Vlassopoulos, Michael & Wang, Liang Choon, 2021. "Stigma and misconceptions in the time of the COVID-19 pandemic: A field experiment in India," Social Science & Medicine, Elsevier, vol. 278(C).
    13. Sirola, Anu & Nuckols, Julia & Nyrhinen, Jussi & Wilska, Terhi-Anna, 2022. "The use of the Dark Web as a COVID-19 information source: A three-country study," Technology in Society, Elsevier, vol. 70(C).
    14. Beatriz Jordá & Azahara Cañedo & Márton Bene & Manuel Goyanes, 2021. "Out-of-Place Content: How Repetitive, Offensive, and Opinion-Challenging Social Media Posts Shape Users’ Unfriending Strategies in Spain," Social Sciences, MDPI, vol. 10(12), pages 1-15, November.
    15. Simon Porcher & Thomas Renault, 2021. "Social distancing beliefs and human mobility: Evidence from Twitter," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-12, March.
    16. van Mulukom, Valerie & Pummerer, Lotte J. & Alper, Sinan & Bai, Hui & Čavojová, Vladimíra & Farias, Jessica & Kay, Cameron S. & Lazarevic, Ljiljana B. & Lobato, Emilio J.C. & Marinthe, Gaëlle & Pavela, 2022. "Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review," Social Science & Medicine, Elsevier, vol. 301(C).
    17. Daniel Muise & Nilam Ram & Thomas Robinson & Byron Reeves, 2023. "Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data," Papers 2310.00197, arXiv.org.
    18. Nefes, Türkay Salim & Präg, Patrick & Romero-Reche, Alejandro & Pereira-Puga, Manuel, 2023. "Believing in conspiracy theories in Spain during the COVID-19 pandemic: Drivers and public health implications," Social Science & Medicine, Elsevier, vol. 336(C).
    19. van der Waal, Nadine Elisa & de Wit, Jan & Bol, Nadine & Ebbers, Wolfgang & Hooft, Lotty & Metting, Esther & van der Laan, Laura Nynke, 2022. "Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors," Technology in Society, Elsevier, vol. 71(C).
    20. Coelho, Priscila & Foster, Katrina & Nedri, Meriam & Marques, Mathew D., 2022. "Increased belief in vaccination conspiracy theories predicts increases in vaccination hesitancy and powerlessness: Results from a longitudinal study," Social Science & Medicine, Elsevier, vol. 315(C).

    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:eee:socmed:v:291:y:2021:i:c:s0277953621008121. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.