IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23258.html
   My bibliography  Save this paper

Is the Internet Causing Political Polarization? Evidence from Demographics

Author

Listed:
  • Levi Boxell
  • Matthew Gentzkow
  • Jesse M. Shapiro

Abstract

We combine nine previously proposed measures to construct an index of political polarization among US adults. We find that the growth in polarization in recent years is largest for the demographic groups least likely to use the internet and social media. For example, our overall index and eight of the nine individual measures show greater increases for those older than 75 than for those aged 18–39. These facts argue against the hypothesis that the internet is a primary driver of rising political polarization.

Suggested Citation

  • Levi Boxell & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Is the Internet Causing Political Polarization? Evidence from Demographics," NBER Working Papers 23258, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23258
    Note: POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23258.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liang, Che-Yuan & Nordin, Mattias, 2012. "The Internet, News Consumption, and Political Attitudes," Working Paper Series 2012:14, Uppsala University, Department of Economics.
    2. Halberstam, Yosh & Knight, Brian, 2016. "Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 143(C), pages 73-88.
    3. 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.
    4. Hetherington, Marc J., 2001. "Resurgent Mass Partisanship: The Role of Elite Polarization," American Political Science Review, Cambridge University Press, vol. 95(3), pages 619-631, September.
    Full references (including those not matched with items on IDEAS)

    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. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    2. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    3. Alejandra Agustina Martínez, 2023. "Raise your Voice! Activism and Peer Effects in Online Social Networks," Working Papers 277, Red Nacional de Investigadores en Economía (RedNIE).
    4. Tabasso, Nicole, 2019. "Diffusion of multiple information: On information resilience and the power of segregation," Games and Economic Behavior, Elsevier, vol. 118(C), pages 219-240.
    5. Andrea Tesei & Filipe Campante & Ruben Durante, 2022. "Media and Social Capital," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 69-91, August.
    6. 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.
    7. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2024. "The Effect of Social Media on Elections: Evidence from The United States," Journal of the European Economic Association, European Economic Association, vol. 22(3), pages 1495-1539.
    8. Gisli Gylfason, 2023. "From Tweets to the Streets: Twitter and Extremist Protests in the United States," PSE Working Papers halshs-04188189, HAL.
    9. Leonardo Bursztyn & Georgy Egorov & Ruben Enikolopov & Maria Petrova, 2019. "Social Media and Xenophobia: Evidence from Russia," NBER Working Papers 26567, National Bureau of Economic Research, Inc.
    10. Gorodnichenko, Yuriy & Pham, Tho & Talavera, Oleksandr, 2021. "Social media, sentiment and public opinions: Evidence from #Brexit and #USElection," European Economic Review, Elsevier, vol. 136(C).
    11. Ascensión Andina-Díaz & José A. García-Martínez & Antonio Parravano, 2019. "The market for scoops: a dynamic approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 175-206, June.
    12. Sylvain Dejean & Marianne Lumeau & Stéphanie Peltier, 2021. "Partisan selective exposure in news consumption," Working Papers hal-03295625, HAL.
    13. Ximeng Fang & Sven Heuser & Lasse S. Stötzer, 2023. "How In-Person Conversations Shape Political Polarization: Quasi-Experimental Evidence from a Nationwide Initiative," ECONtribute Discussion Papers Series 270, University of Bonn and University of Cologne, Germany.
    14. Dejean, Sylvain & Lumeau, Marianne & Peltier, Stéphanie, 2022. "Partisan selective exposure in news consumption," Information Economics and Policy, Elsevier, vol. 60(C).
    15. 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.
    16. Azzimonti, Marina & Fernandes, Marcos, 2023. "Social media networks, fake news, and polarization," European Journal of Political Economy, Elsevier, vol. 76(C).
    17. Tatsuo Tanaka, 2019. "Does the Internet cause polarization? -Panel survey in Japan-," Keio-IES Discussion Paper Series 2019-015, Institute for Economics Studies, Keio University.
    18. Ruben Enikolopov & Alexey Makarin & Maria Petrova, 2020. "Social Media and Protest Participation: Evidence From Russia," Econometrica, Econometric Society, vol. 88(4), pages 1479-1514, July.
    19. Alejandra Agustina Martínez, 2023. "Raise your voice! Activism and peer effects in online social networks," Discussion Papers 2023-05, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    20. repec:swn:wpaper:2018-01 is not listed on IDEAS
    21. Petter Törnberg & Claes Andersson & Kristian Lindgren & Sven Banisch, 2021. "Modeling the emergence of affective polarization in the social media society," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-17, October.

    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

    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:23258. 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: 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.