Visited websites may reveal users’ demographic information and personality

Cheng You Lien, Guo Jhen Bai, Hung Hsuan Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

This study shows that simple supervised learning algorithms can easily predict a user’s personality and demographic information based on the features derived from the users’ browsing logs, even when the logs are not recorded with the finest granularity (i.e., each visited URL of a user). This is different from the analytical formula of Cambridge Analytica (CA), which reported that it needs to know each user’s detailed liked objects (e.g., articles, pages, etc.) on Facebook with a fine granularity (i.e., CA needs to know the liked articles, not only the types of the articles) to predict user information. However, we employed only the visited website categories to predict a user’s gender, age, relationship status, and big six personality scores, which is an authoritative index to represent an individual’s personality in six dimensions. We also show that applying simple clustering as a preprocessing step enhances the predictive power. As a result, the data collectors, even when storing only a coarse granularity of the visited URLs of the users, may leverage such information to identify a user’s preferences/tastes and her/his private information without notifying users.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019
編輯Payam Barnaghi, Georg Gottlob, Yannis Manolopoulos, Theodoros Tzouramanis, Athena Vakali
發行者Association for Computing Machinery, Inc
頁面248-252
頁數5
ISBN(電子)9781450369343
DOIs
出版狀態已出版 - 14 10月 2019
事件19th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019 - Thessaloniki, Greece
持續時間: 13 10月 201917 10月 2019

出版系列

名字Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019

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???event.eventtypes.event.conference???19th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019
國家/地區Greece
城市Thessaloniki
期間13/10/1917/10/19

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