Search engines in polarized media environment: Auditing political information curation on Google and Bing prior to 2024 US elections
Mykola Makhortykh, Tobias Rorhbach, Maryna Sydorova, and Elizaveta, Kuznetsova

TL;DR
This study audits Google and Bing before the 2024 US elections, revealing they tend to favor left-leaning sources and reflect partisan divides, potentially influencing public polarization.
Contribution
It provides an empirical analysis of how major search engines curate election-related information and how factors like query slant and location affect results.
Findings
Both search engines favor left-leaning sources.
Results vary with query slant and are consistent across locations.
Interface elements show more volatility over time and states.
Abstract
Search engines play an important role in the context of modern elections. By curating information in response to user queries, search engines influence how individuals are informed about election-related developments and perceive the media environment in which elections take place. It has particular implications for (perceived) polarization, especially if search engines' curation results in a skewed treatment of information sources based on their political leaning. Until now, however, it is unclear whether such a partisan gap emerges through information curation on search engines and what user- and system-side factors affect it. To address this shortcoming, we audit the two largest Western search engines, Google and Bing, prior to the 2024 US presidential elections and examine how these search engines' organic search results and additional interface elements represent election-related…
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Taxonomy
TopicsSocial Media and Politics · Hate Speech and Cyberbullying Detection · Misinformation and Its Impacts
