Uses WildChat
WildClaims: Conversational Information Access in the Wild(Chat)
ECIR 2026 · First arXiv submission
Examines factual information conveyed by chatbot responses, including when the user's main task is editing or creative writing. It releases extracted claims and check-worthiness annotations to study information access beyond explicit questions.
Dataset and scope
3,000 sampled English WildChat conversations after excluding math and coding; the paper does not identify an exact dataset revision.
Selected finding
WildClaims contains 121,905 extracted claims from 7,587 assistant utterances; estimated check-worthy-conversation prevalence varies substantially with the annotation method.
Section 3 and Table 2 specify selection and annotation counts; the prevalence analysis distinguishes conservative and more permissive classification choices. Read the source.
Dates and versions
First arXiv version; the ECIR 2026 paper uses the revised title shown here. ArXiv version history.
Cites the published ECIR 2026 paper under its revised title; the preprint first appeared in September 2025.
The annotation describes the linked source version. Consult the paper for its full methods, assumptions, and limitations.
Cite this paper
Hideaki Joko, Shakiba Amirshahi, Charles L. A. Clarke, Faegheh Hasibi. 2026. WildClaims: Conversational Information Access in the Wild(Chat). Advances in Information Retrieval. ECIR 2026.
Show BibTeX
@inproceedings{joko2026wildclaims,
title = {{WildClaims: Conversational Information Access in the Wild(Chat)}},
author = {Joko, Hideaki and Amirshahi, Shakiba and Clarke, Charles L. A. and Hasibi, Faegheh},
year = {2026},
booktitle = {Advances in Information Retrieval. ECIR 2026},
publisher = {Springer, Cham},
volume = {16486},
pages = {367--382},
doi = {10.1007/978-3-032-21321-1_47},
url = {https://link.springer.com/chapter/10.1007/978-3-032-21321-1_47}
}Reuse this entry
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