{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,10]],"date-time":"2025-05-10T06:49:04Z","timestamp":1746859744214},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684802","type":"print"},{"value":"9781643684819","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,12]]},"abstract":"<jats:p>The accuracy, fairness, and data security of AI surveillance technology have caused a wide range of social discussions. How to guarantee the security of such AI technologies in the application process? This study proposes a computational framework based on machine learning algorithms to extract the public-concerned ethical issues and ethical acceptance of AI surveillance technology from social media data. This study provides a method for the government and enterprises to identify and monitor the public-concerned ethical issues and ethical acceptance of AI surveillance technology. The results can promote the governance and development of AI surveillance technology. This study provides a new research approach and perspectives for AI ethics and governance research.<\/jats:p>","DOI":"10.3233\/faia231257","type":"book-chapter","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:57:13Z","timestamp":1705064233000},"source":"Crossref","is-referenced-by-count":3,"title":["Understanding Public Concerned Ethic Issues and Ethical Acceptance of AI Surveillance Technology: Analysis from Social Media Data"],"prefix":"10.3233","author":[{"given":"Yan","family":"Wan","sequence":"first","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunication, China"}]},{"given":"Ziqing","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunication, China"}]},{"given":"Fei","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunication, China"}]},{"given":"Jinping","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunication, China"}]},{"given":"Minghui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunication, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Electronics, Communications and Networks"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231257","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:57:14Z","timestamp":1705064234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231257"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"ISBN":["9781643684802","9781643684819"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231257","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}