R0051/2026-03-31/Q003/SRC05
Cazzamatta (2026) — Fact-checking as epistemological lens in the age of generative AI
Source
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
Medium |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| 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 |
Peer-reviewed in a reputable journal. Most recent source (2026). |
| Relevance |
Demonstrates the gap persists and deepens with AI — fact-checking epistemology remains unresolved even as new challenges emerge. |
| Bias flags |
Theoretical paper — no empirical measurement. |
| Evidence ID |
Summary |
| SRC05-E01 |
AI-era challenges deepen the epistemological gap in fact-checking |