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.
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.