R0051/2026-03-31/Q001/SRC04
Warren, Shklovski & Augenstein (2025) — Fact-checkers' evidence evaluation requirements
Source
| Field |
Value |
| Title |
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking |
| Publisher |
ACM / CHI Conference on Human Factors in Computing Systems |
| Author(s) |
Greta Warren, Irina Shklovski, Isabelle Augenstein |
| Date |
2025 |
| URL |
https://arxiv.org/html/2502.09083v1 |
| Type |
Research paper |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Published at CHI 2025 — premier venue for human-computer interaction research. Multi-method qualitative study. |
| Relevance |
Directly documents how fact-checkers evaluate evidence in practice and identifies gaps in structured confidence methodology — highly relevant to the query. |
| Bias flags |
Interview-based study — participants self-report practices. No apparent conflicts of interest. |
| Evidence ID |
Summary |
| SRC04-E01 |
Fact-checkers lack structured confidence expression methodology |
| SRC04-E02 |
Primary source preference and evidence quality hierarchy in practice |