Search Autocomplete Analysis
Search Autocomplete Analysis is a computational method within search analytics that systematically examines and interprets the real-time suggestions generated by search engines during query formulation to infer user intent, behavioral patterns, and information needs.
10
Publications
424
Citations
39
Authors
24
Institutions
Publications per year
2017–2026
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Parents
10
Auditing the Partisanship of Google Search Snippets
Desheng Hu, Shan Jiang, Ronald E. Robertson et al. · 2019 · 52 citations · Full text
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Applied Science Private University
Amman, Jordan
1 h-index
2 publications
28 citations
Middle East University
Amman, Jordan
1 h-index
1 publications
14 citations

Royal Holloway University of London
Egham, United Kingdom
1 h-index
1 publications
63 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
5 publications
100 citations
Kent State University
Kent, United States
1 h-index
1 publications
17 citations

Bar-Ilan University
Ramat Gan, Israel
1 h-index
1 publications
68 citations

Hungarian Academy of Sciences
Budapest, Hungary
1 h-index
1 publications
19 citations

York University
Toronto, Canada
1 h-index
1 publications
15 citations
1–8 of 24
1 publications · 15 citations
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1 publications · 19 citations
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1 publications · 132 citations
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1 publications · 17 citations
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1 publications · 14 citations
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