Dynamics in Search Engine Query Suggestions for European Politicians

被引：0
|
作者：
Pradel, Franziska [1 ]
Haak, Fabian [2 ]
Proksch, Sven-Oliver [3 ]
Schaer, Philipp [2 ]
机构：
[1] Tech Univ Munich, Munich, Germany
[2] TH Koln Univ Appl Sci, Cologne, Germany
[3] Univ Cologne, Cologne, Germany
来源：
16TH ACM WEB SCIENCE CONFERENCE, WEBSCIENCE 2024 | 2024年
关键词：
Query Suggestion; Web Search Engines; Political Information Search; European Politicians; European Politics; ELECTIONS; BEHAVIOR; INTERNET;
D O I：
10.1145/3614419.3644006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Search engines are commonly used for online political information seeking. Yet, it remains unclear how search query suggestions for political searches that reflect the latent interest of internet users vary across countries and over time. We provide a systematic analysis of Google search engine query suggestions for European and national politicians. Using an original dataset of search query suggestions for European politicians collected in ten countries, we find that query suggestions are less stable over time in politicians' countries of origin, when the politicians hold a supranational role, and for female politicians. Moreover, query suggestions for political leaders and male politicians are more similar across countries. We conclude by discussing possible future directions for studying information search about European politicians in online search.
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页码：279 / 289
页数：11
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