#5667. Googling Politics: Parties, Sources, and Issue Ownerships on Google in the 20XX German Federal Election Campaign
August 2026 | publication date |
Proposal available till | 23-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Social Sciences (all);
Law;
Library and Information Sciences;
Computer Science Applications; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
Democratic election campaigns require informed citizens. Yet, while the Internet allows for broader information through greater media choices, algorithmic filters, such as search engines, threaten to unobtrusively shape individual information repertoires. The purpose of this article is to analyze what search results people encounter when they employ various information orientations, and how these results reflect people’s attributions of issue ownership. A multimethod approach was applied during the 20XX German Federal Election campaign. First, human search behavior depicting various information orientations was simulated using agent-based testing to derive real search results from Google Search, which were then manually coded to identify information sources and ascribe issue ownerships. Second, a survey asked participants about which issues they attribute to which party.
Keywords:
agent-based testing; algorithmic bias; elections; political information; search engines
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