1. Chatting about the unaccepted: Self-disclosure of unaccepted news exposure behaviour to a chatbot.
- Author
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Ischen, Carolin, Butler, Janice, and Ohme, Jakob
- Subjects
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SCALE analysis (Psychology) , *HUMAN services programs , *T-test (Statistics) , *RESEARCH funding , *ARTIFICIAL intelligence , *MULTIPLE regression analysis , *DESCRIPTIVE statistics , *PRESS , *SURVEYS , *LONGITUDINAL method , *EXPERIMENTAL design , *SOCIAL skills , *HAPPINESS , *PRACTICAL politics , *FACTOR analysis , *USER interfaces , *SELF-disclosure , *INTIMACY (Psychology) - Abstract
Conversational technologies such as chatbots have shown to be promising in eliciting self-disclosure in several contexts. Implementing such a technology that fosters self-disclosure can help to assess sensitive topics such as behaviours that are perceived as unaccepted by others, i.e. the exposure to unaccepted (alternative) news sources. This study tests whether a conversational (chatbot) format, compared to a traditional web-based survey, can enhance self-disclosure in the political news context by implementing a two-week longitudinal, experimental research design (n = 193). Results show that users disclose unaccepted news exposure significantly more often to a chatbot, compared to a traditional web-based survey, providing evidence for a chatbots' ability to foster the disclosure of sensitive behaviours. Unlike our hypotheses, our study also shows that social presence, intimacy, and enjoyment cannot explain self-disclosure in this context, and that self-disclosure generally decreases over time. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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