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Social Bots‘ Role in Online Political Communication – Evidence from German Federal Election 2021

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  • Abeer Ibtisam Aziz

    (University of Kassel)

Abstract

In 2016, the US elections and Brexit changed the perception and understanding of how social media platforms could influence political outcomes. This has been complemented by the advancement in automation and data processing. This paper studies the influence of bots on online information diffusion and political discourse around the 2021 German Federal Elections. It examines the behavior of social bots in online political communication, in particular, whether the presence of bots leads to an amplification of the Tweet volume of humans. Using Twitter data pertaining to the German political sphere over 6 weeks till election day, I find 6% of the tweets originated from bot accounts. The impact of the bots is investigated through time series analysis. The key findings are that the bots’ tweet volume significantly impacts the human tweet volume, especially when the tweets hold the same inclination towards a political party. The influence is not always observed for across-inclination tweet volumes of bots on humans. Furthermore, employing impulse response functions, the impact is observed to be positive, indicating an amplification effect of bots’ tweeting activity.

Suggested Citation

  • Abeer Ibtisam Aziz, 2023. "Social Bots‘ Role in Online Political Communication – Evidence from German Federal Election 2021," MAGKS Papers on Economics 202309, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    • Handle: RePEc:mar:magkse:202309
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    More about this item

    Keywords

    Political communication; social bots; Germany; Twitter;
    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
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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