Search engine effects on news consumption: Ranking and representativeness outweigh familiarity in news selection
| Autor: | Ulloa, Roberto, Kacperski, Celina Sylwia |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
News media
journalism publishing Publizistische Medien Journalismus Verlagswesen Familiarity news consumption news diversity search engines web tracking Interactive electronic Media Impact Research Recipient Research Wirkungsforschung Rezipientenforschung interaktive elektronische Medien Informationsquelle Nachrichten Ranking Suchmaschine Informationsverhalten Algorithmus news ranking information-seeking behavior source of information search engine algorithm 10800 |
| Zdroj: | New Media & Society, OnlineFirst, 1-27 |
| Druh dokumentu: | journal article<br />Zeitschriftenartikel |
| ISSN: | 1461-7315 |
| DOI: | 10.1177/14614448231154926 |
| Popis: | While individuals' trust in search engine results is well-supported, little is known about their preferences when selecting news. We use web-tracked behavioral data across a 2-month period (280 participants) and we analyze three competing factors, two algorithmic (ranking and representativeness) and one psychological (familiarity), that could influence the selection of search results. We use news engagement as a proxy for familiarity and investigate news articles presented on Google search pages (n = 1221). We find a significant effect of algorithmic factors but not of familiarity. We find that ranking plays a lesser role for news compared to non-news, suggesting a more careful decision-making process. We confirm that Google Search drives individuals to unfamiliar sources, and find that it increases the diversity of the political audience of news sources. We tackle the challenge of measuring social science theories in contexts shaped by algorithms, demonstrating their leverage over the behaviors of individuals. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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