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
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

Pagination

eadn3750

Auteurs

Kevin T Greene (KT)

Empirical Studies of Conflict Project, Princeton University, Princeton, NJ, USA.

Nilima Pisharody (N)

Empirical Studies of Conflict Project, Princeton University, Princeton, NJ, USA.

Lucas Augusto Meyer (LA)

AI for Good Research Lab, Microsoft, Redmond, WA, USA.

Mayana Pereira (M)

AI for Good Research Lab, Microsoft, Redmond, WA, USA.
University of Brasilia, Brasilia, Brazil.

Rahul Dodhia (R)

AI for Good Research Lab, Microsoft, Redmond, WA, USA.

Juan Lavista Ferres (JL)

AI for Good Research Lab, Microsoft, Redmond, WA, USA.

Jacob N Shapiro (JN)

Empirical Studies of Conflict Project, Princeton University, Princeton, NJ, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH