Use of offensive language in human-artificial intelligence chatbot interaction: The effects of ethical ideology, social competence, and perceived humanlikeness

This study examined the factors that affect artificial intelligence (AI) chatbot users' use of profanity and offensive words, employing the concepts of ethical ideology, social competence, and perceived humanlikeness of chatbot. The study also looked into users' liking of chatbots' re...

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Veröffentlicht in:	Computers in human behavior Jg. 121; S. 106795
Hauptverfasser:	Park, Namkee, Jang, Kyungeun, Cho, Seonggyeol, Choi, Jinyoung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elmsford Elsevier Ltd 01.08.2021 Elsevier Science Ltd
Schlagworte:	Artificial intelligence Chatbots Ethical ideology Ethical standards Human-AI chatbot interaction Idealism Minority & ethnic groups Offensive language use Perceived humanlikeness of chatbot Political parties Profanity Social competence Human-AI chatbot interaction Offensive language use Perceived humanlikeness of chatbot Social competence Ethical ideology
ISSN:	0747-5632, 1873-7692
Online-Zugang:	Volltext
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