Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
51 tokens/sec
GPT-4o
60 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
8 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

The Case for Claim Difficulty Assessment in Automatic Fact Checking (2109.09689v2)

Published 20 Sep 2021 in cs.CL, cs.AI, and cs.IR

Abstract: Fact-checking is the process of evaluating the veracity of claims (i.e., purported facts). In this opinion piece, we raise an issue that has received little attention in prior work -- that some claims are far more difficult to fact-check than others. We discuss the implications this has for both practical fact-checking and research on automated fact-checking, including task formulation and dataset design. We report a manual analysis undertaken to explore factors underlying varying claim difficulty and identify several distinct types of difficulty. We motivate this new claim difficulty prediction task as beneficial to both automated fact-checking and practical fact-checking organizations.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Prakhar Singh (1 paper)
  2. Anubrata Das (12 papers)
  3. Junyi Jessy Li (79 papers)
  4. Matthew Lease (57 papers)
Citations (9)