%0 Conference Paper %1 Yamamoto_2020 %A Yamamoto, Yusuke %A Yamamoto, Takehiro %B Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 %D 2020 %I ACM %K adaptive-search jcdl2020 user-control %P 37-46 %R 10.1145/3383583.3398519 %T Personalization Finder: A Search Interface for Identifying and Self-controlling Web Search Personalization %U https://doi.org/10.1145%2F3383583.3398519 %X We propose the Personalization Finder, a search interface that enables users to be aware of and control personalization of a web search. The proposed interface is intended to improve behavioral data privacy and promote critical information seeking. A preliminary user survey indicates that many web users worry that search engines personalize their search results for political topics, which can raise concerns about opinion polarization. However, the survey also indicates that few users believe that search engines personalize search results for such topics. Based on the results of an online user study, we confirmed the following: (1) Our prototype interface resulted in users spending more time looking at the web search results at deeper ranking positions than conventional web search interfaces when querying political topics, and (2) on average, users thought our prototype was useful for objective collection of information.

@inproceedings{Yamamoto_2020, abstract = {We propose the Personalization Finder, a search interface that enables users to be aware of and control personalization of a web search. The proposed interface is intended to improve behavioral data privacy and promote critical information seeking. A preliminary user survey indicates that many web users worry that search engines personalize their search results for political topics, which can raise concerns about opinion polarization. However, the survey also indicates that few users believe that search engines personalize search results for such topics. Based on the results of an online user study, we confirmed the following: (1) Our prototype interface resulted in users spending more time looking at the web search results at deeper ranking positions than conventional web search interfaces when querying political topics, and (2) on average, users thought our prototype was useful for objective collection of information. }, added-at = {2020-11-23T03:38:54.000+0100}, author = {Yamamoto, Yusuke and Yamamoto, Takehiro}, biburl = {https://www.bibsonomy.org/bibtex/2c68042a981de1a62a5e9390c06bb28ba/brusilovsky}, booktitle = {Proceedings of the {ACM}/{IEEE} Joint Conference on Digital Libraries in 2020}, description = {Personalization Finder: A Search Interface for Identifying and Self-controlling Web Search Personalization | Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020}, doi = {10.1145/3383583.3398519}, interhash = {0335781d76903edbadec789532b7b0aa}, intrahash = {c68042a981de1a62a5e9390c06bb28ba}, keywords = {adaptive-search jcdl2020 user-control}, month = aug, pages = {37-46}, publisher = {{ACM}}, timestamp = {2020-11-23T03:38:54.000+0100}, title = {Personalization Finder: A Search Interface for Identifying and Self-controlling Web Search Personalization}, url = {https://doi.org/10.1145%2F3383583.3398519}, year = 2020 }