Investigating perceived trust and utility of balanced news chatbots among individuals with varying conspiracy beliefs

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Authors: Shreya Dubey, Paul Edwin Ketelaar, Tilman Dingler, Hannah Katharina Peetz, Hein T. van Schie
Cited by: 1
References: 52

Abstract

In the current media landscape, various ideas and narratives gain traction, influenced by the dynamics of selective exposure and a decline in trust in traditional information sources. This trend holds the potential to cultivate polarization of perspectives, as individuals actively seek information that resonates with their existing attitudes. Hence, diversifying information that is available online can encourage users to engage with multiple perspectives, especially when provided by a trustworthy source. This paper presents findings from two studies which compared individuals with a higher belief in generic conspiracy theories (Study 1; n = 84) and specific conspiracy beliefs on climate change (Study 2; n = 23) to those with lower conspiracy beliefs ( n study 1 = 93; n study 2 = 35) on perceived trustworthiness and usefulness of the so called ‘balanced news chatbots’. These chatbots present a selection of opposing alternative and mainstream perspectives on topics of societal divide like climate change. We found that participants from both groups responded positively to the balanced news chatbot. Trust and perceived usefulness were identified to be key indicators of a positive attitude towards and high intentions of using such a chatbot, corroborating the acceptance of balanced news chatbots as a potential tool to reduce polarisation and conflict, piercing existing information bubbles. In both studies we also found that participants with higher conspiratorial beliefs responded even more positively to the balanced news chatbot than individuals with lower conspiratorial beliefs. We conclude that balanced chatbots are promising as a trusted source of diversified information for individuals with varying levels of conspiracy beliefs.

Fields of Study & Subjects

Misinformation and Its Impacts AI in Service Interactions Climate Change Communication and Perception

Publication details

Journal / source
Computers in Human Behavior
Publisher
Elsevier BV
Volume
178
Pages
108920–108920
Publication date
13 January 2026
Language
EN