{
  "id": 4565,
  "url": "https://arxiv.org/abs/2605.10357v2",
  "title": "RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild",
  "summary": "Multimodal misinformation increasingly leverages visual persuasion, where repurposed or manipulated images strengthen misleading text. We introduce \\textbf{RW-Post}, a post-aligned \\textbf{text--image benchmark} for real-world multimodal fact-checking with \\emph{auditable} annotations: each instance links the original social-media post with reasoning traces and explicitly linked evidence items derived from human fact-check articles via an LLM-assisted extraction-and-auditing pipeline. RW-Post su",
  "authors": "Danni Xu, Shaojing Fan, Harry Cheng, Mohan Kankanhalli",
  "category": "research",
  "topics": "misinformation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-11T11:04:04.000Z",
  "fetched_at": "2026-07-14T16:31:08.352Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4565",
  "original_url": "https://arxiv.org/abs/2605.10357v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}