Current engagement with unreliable sites from web search driven by navigational search.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
Nov 2024
Nov 2024
Historique:
medline:
30
10
2024
pubmed:
30
10
2024
entrez:
30
10
2024
Statut:
ppublish
Résumé
Do search engine algorithms systematically expose users to content from unreliable sites? There is widespread concern that they do, but little systematic evidence that search engine algorithms, rather than user-expressed preferences, are driving current exposure to and engagement with unreliable information sources. Using two datasets totaling roughly 14 billion search engine result pages (SERPs) from Bing, the second most popular search engine in the U.S., we show that search exposes users to few unreliable information sources. The vast majority of engagement with unreliable information sources from search occurs when users are explicitly searching for information from those sites, despite those searches being an extremely small share of the overall search volume. Our findings highlight the importance of accounting for user preference when examining engagement with unreliable sources from web search.
Identifiants
pubmed: 39475604
doi: 10.1126/sciadv.adn3750
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM