{
  "id": 9935,
  "url": "https://doi.org/10.1609/icwsm.v20i1.42623",
  "title": "MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models",
  "summary": "Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence among the general public. AI chatbots are also increasingly producing content on social media platforms. However, LLMs are also prone to hallucinations, generating plausible yet factually incorrect or fabricated information. This becomes a critical problem when laypeople start seeking information about sensitive issues suc",
  "authors": "Vibhor Agarwal, Yiqiao Jin, Mohit Chandra, Munmun De Choudhury, Srijan Kumar, Nishanth Sastry",
  "category": "research",
  "topics": "healthcare",
  "orgs": "openai",
  "regions": null,
  "published_at": "2026-05-25T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:04.099Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9935",
  "original_url": "https://doi.org/10.1609/icwsm.v20i1.42623",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}