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Citations and Trust in LLM Generated Responses

Ding, Yifan, Facciani, Matthew, Joyce, Ellen, Poudel, Amrit, Bhattacharya, Sanmitra, Veeramani, Balaji, Aguinaga, Sal, Weninger, Tim·2025·Proceedings of the AAAI Conference on Artificial Intelligence
DOI 10.1609/aaai.v39i22.34550
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Abstract

Question answering systems are rapidly advancing, but their opaque nature may impact user trust. We explored trust through an anti-monitoring framework, where trust is predicted to be correlated with presence of citations and inversely related to checking citations. We tested this hypothesis with a live question-answering experiment that presented text responses generated using a commercial Chatbot along with varying citations (zero, one, or five), both relevant and random, and recorded if participants checked the citations and their self-reported trust in the generated responses. We found a significant increase in trust when citations were present, a result that held true even when the citations were random; we also found a significant decrease in trust when participants checked the citations. These results highlight the importance of citations in enhancing trust in AI-generated content.

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Metadata

Authors
Ding, Y., Facciani, M., Joyce, E., Poudel, A., Bhattacharya, S., Veeramani, B., Aguinaga, S., & Weninger, T.
Venue
Proceedings of the AAAI Conference on Artificial Intelligence
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Published
2025-04-11
Volume
39
Issue
22
Pages
23787-23795
ISSN
  • 2374-3468
  • 2159-5399
DOI
10.1609/aaai.v39i22.34550
Cited by
27
References
0

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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CoChat. (2026). Citation check: Citations and Trust in LLM Generated Responses. https://app.cochat.ai/papers/10.1609/aaai.v39i22.34550
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Ding, Y., Facciani, M., Joyce, E., Poudel, A., Bhattacharya, S., Veeramani, B., Aguinaga, S., & Weninger, T. (2025). Citations and Trust in LLM Generated Responses. Proceedings of the AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v39i22.34550