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Chatting about the unaccepted: Self-disclosure of unaccepted news exposure behaviour to a chatbot

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  • Carolin Ischen
  • Janice Butler
  • Jakob Ohme

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.

Suggested Citation

  • Carolin Ischen & Janice Butler & Jakob Ohme, 2024. "Chatting about the unaccepted: Self-disclosure of unaccepted news exposure behaviour to a chatbot," Behaviour and Information Technology, Taylor & Francis Journals, vol. 43(10), pages 2044-2056, July.
    • Handle: RePEc:taf:tbitxx:v:43:y:2024:i:10:p:2044-2056
    DOI: 10.1080/0144929X.2023.2237605
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