REVIEW 1 cited by
A comparison of online search engine autocompletion in Google and Baidu
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Warning: This paper contains content that may be offensive or upsetting. Online search engine auto-completions make it faster for users to search and access information. However, they also have the potential to reinforce and promote stereotypes and negative opinions about a variety of social groups. We study the characteristics of search auto-completions in two different linguistic and cultural contexts: Baidu and Google. We find differences between the two search engines in the way they suppress or modify original queries, and we highlight a concerning presence of negative suggestions across all social groups. Our study highlights the need for more refined, culturally sensitive moderation strategies in current language technologies.
Forward citations
Cited by 1 Pith paper
-
Auditing LLM Editorial Bias in News Media Exposure
Compared with Google News, GPT-4o-Mini, Claude-3.7-Sonnet, and Gemini-2.0-Flash surface fewer unique news outlets, distribute attention more unevenly, and lean ideologically in system-specific ways.
Discussion (0). Continue with ORCID to comment.