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the claim

Fact-checking organizations cannot keep pace with the volume of claims published online

the verdict
SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that fact-checking organizations cannot keep pace with the volume of claims published online?

Yes. Evidence consistently shows that traditional, manual fact-checking organizations struggle and ultimately fail to keep pace with the sheer volume of claims published online, motivating the development of automated computational tools.

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

The analysis

The claim that fact-checking organizations cannot keep pace with the volume of online claims is widely supported in the literature, notably by older foundational work (e.g., Ciampaglia et al., 2015) as well as recent automated fact-checking studies (e.g., Hu et al., 2026; Chen et al., 2025) emphasizing the need for AI solutions due to human scalability limits. There are no papers refuting this widely acknowledged constraint.

Evidence for · 3
Performance of Large Language Models in the Cognitive Analysis of Misinformation: Evaluation Study.
2026
Human moderators face significant challenges regarding scalability when attempting to keep pace with the volume of online misinformation.
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DN, W., C, M., L, Z., C, P., & R, M. (2026). Performance of Large Language Models in the Cognitive Analysis of Misinformation: Evaluation Study.. doi.org. https://doi.org/10.2196/72524

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More for · 2
Development and validation of a multi-agent AI pipeline for automated credibility assessment of tobacco misinformation: a proof-of-concept study.
2025
Traditional manual fact-checking approaches are resource-intensive and unable to match the pace at which misinformation spreads online.
Get citation
S, E., J, M., S, B., & A, G. (2025). Development and validation of a multi-agent AI pipeline for automated credibility assessment of tobacco misinformation: a proof-of-concept study.. doi.org. https://doi.org/10.3389/frai.2025.1659861

Computational Fact Checking from Knowledge Networks
2015
Traditional fact-checking by expert journalists cannot keep up with the enormous volume of information generated online.
Get citation
Ciampaglia, G. L., Shiralkar, P., Rocha, L. M., Bollen, J., Menczer, F., & Flammini, A. (2015). Computational Fact Checking from Knowledge Networks. doi.org. https://doi.org/10.1371/journal.pone.0128193

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What does the evidence say?

The claim that fact-checking organizations cannot keep pace with the volume of online claims is widely supported in the literature, notably by older foundational work (e.g., Ciampaglia et al., 2015) as well as recent automated fact-checking studies (e.g., Hu et al., 2026; Chen et al., 2025) emphasizing the need for AI solutions due to human scalability limits. There are no papers refuting this widely acknowledged constraint.

Receipt History
first checked28 Jul 2026
judged → SUPPORTED · 7528 Jul 2026
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