On the Dark Side of AI Companions – How a Parasocial Preference for a Social Chatbot Can Lead to Pathological Chatbot Use

Social chatbots are becoming increasingly popular due to their ability to simulate human interactions and build socio-emotional relationships with users. However, along with the positive effects come potential risks. For example, a parasocial preference for a social chatbot could contribute to excessive and unregulated chatbot use, jeopardizing users' well-being. As the potential harms associated with social chatbots are largely unexplored, there is a need to integrate theories into the IS literature that explain the negative effects of a parasocial preference for a social chatbot. Therefore, we apply the cognitive- behavioral model of pathological internet use to human-chatbot interactions. We conducted two empirical studies and found that a parasocial preference contributes to deficient self-regulation regarding chatbot use and promotes the use of the chatbot for mood regulation. Furthermore, deficient self-regulation increases the risk of pathological chatbot use, especially among lonely users.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Media Influence and Health
Type
article
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article

On the Dark Side of AI Companions – How a Parasocial Preference for a Social Chatbot Can Lead to Pathological Chatbot Use

Alexander Louis, Lara Fröbel, Peter Kenning
ScholarSpace (University of Hawaii at Manoa)
Media Influence and Health
article

On the Dark Side of AI Companions – How a Parasocial Preference for a Social Chatbot Can Lead to Pathological Chatbot Use

Alexander Louis, Lara Fröbel, Peter Kenning
article en

Abstract

Social chatbots are becoming increasingly popular due to their ability to simulate human interactions and build socio-emotional relationships with users. However, along with the positive effects come potential risks. For example, a parasocial preference for a social chatbot could contribute to excessive and unregulated chatbot use, jeopardizing users' well-being. As the potential harms associated with social chatbots are largely unexplored, there is a need to integrate theories into the IS literature that explain the negative effects of a parasocial preference for a social chatbot. Therefore, we apply the cognitive- behavioral model of pathological internet use to human-chatbot interactions. We conducted two empirical studies and found that a parasocial preference contributes to deficient self-regulation regarding chatbot use and promotes the use of the chatbot for mood regulation. Furthermore, deficient self-regulation increases the risk of pathological chatbot use, especially among lonely users.

ScholarSpace (University of Hawaii at Manoa)
Reduced inequalities
Openalex Percentile: Top 21%
Media Influence and Health
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