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A comparison of online search engine autocompletion in Google and Baidu (2405.01917v1)
Published 3 May 2024 in cs.CY
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.
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- Geng Liu (16 papers)
- Pietro Pinoli (1 paper)
- Stefano Ceri (17 papers)
- Francesco Pierri (44 papers)