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

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. • Selection biases when seeking information in online environments increase polarised beliefs on issues like climate change, raising the need for diversifying information. • In two studies, chatbots presented balanced climate change-related news to people with polarised views. • Trust and perceived usefulness predicted a positive attitude and intention to use the chatbot. • Participants from both groups responded positively to the balanced news chatbot.

Authors

Institutions

Publication Details

Journal
Computers in Human Behavior
Published
2026-01-13
DOI
https://doi.org/10.1016/j.chb.2026.108920
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
55.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

P.E. Ketelaar, Tilman Dingler, Hein T. van Schie, Hannah Katharina Peetz et al.
1 citations
Computers in Human Behavior
Misinformation and Its Impacts
55.57
article

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

P.E. Ketelaar, Tilman Dingler, Hein T. van Schie, Hannah Katharina Peetz, Shreya Dubey
article en
1 citations

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. • Selection biases when seeking information in online environments increase polarised beliefs on issues like climate change, raising the need for diversifying information. • In two studies, chatbots presented balanced climate change-related news to people with polarised views. • Trust and perceived usefulness predicted a positive attitude and intention to use the chatbot. • Participants from both groups responded positively to the balanced news chatbot.

Computers in Human BehaviorVol. 178
Amsterdam University College (NL), Radboud University Nijmegen (NL), Amsterdam University of Applied Sciences (NL), Delft University of Technology (NL)
Climate action
Openalex Percentile: Top 1%
Misinformation and Its Impacts
55.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.