IDEAS home Printed from https://ideas.repec.org/a/eee/poleco/v88y2025ics017626802500045x.html
   My bibliography  Save this article

Social media campaigning and voter behavior–evidence for the German federal election 2021

Author

Listed:
  • Aziz, Abeer Ibtisam
  • Bischoff, Ivo

Abstract

We analyze the relationship between party campaigning on social media and the voting intentions voiced by respondents in a large representative survey in the German federal election campaign in 2021. We argue that online campaigns spread through the online and offline networks of the initial recipients – thereby influencing substantial parts of the electorate. We exploit inter-temporal, inter-regional, and inter-party differences in the intensity of campaigning by parties and candidates on Facebook and Twitter. In addition, we control for the respondents' choice in the previous federal election and a number of other personal characteristics. Using a multinomial logit model with alternative-specific constants, we find the probability of a respondent's intention to vote for a party to increase in the state-specific campaigning activities on social media of this party the days before. While the literature suggests that especially populist right-wing parties will benefit from campaigning on social media, we find the marginal impact to be significantly higher for Christian democrats, Social Democrats, and Greens than for the right-wing “Alternative für Deutschland”.

Suggested Citation

  • Aziz, Abeer Ibtisam & Bischoff, Ivo, 2025. "Social media campaigning and voter behavior–evidence for the German federal election 2021," European Journal of Political Economy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:poleco:v:88:y:2025:i:c:s017626802500045x
    DOI: 10.1016/j.ejpoleco.2025.102685
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S017626802500045X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejpoleco.2025.102685?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.

    More about this item

    Keywords

    Online political campaigns; Voter behavior; Facebook; Twitter; Multinomial logit model with alternative-specific constant; Germany;
    All these keywords.

    JEL classification:

    • 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

    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:eee:poleco:v:88:y:2025:i:c:s017626802500045x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505544 .

    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.