1. Adair, Bill (2021). “The lessons of Squash, Duke’s automated fact-checking platform”. Poynter, 16 June. https://www.poynter.org/fact-checking/2021/the-lessons-of-squash-the-first-automated-fact-checking-platform
2. Adair, Bill; Li, Chengkai; Yang, Jun; Yu, Cong (2018). Automated pop-up fact-checking: challenges & progress. https://ranger.uta.edu/~cli/pubs/2019/popupfactcheck-cj19-adair.pdf
3. Agadjanian, Alexander; Bakhru, Nikita; Chi, Victoria; Greenberg, Devyn; Hollander, Byrne; Hurt, Alexander; Kind, Joseph; Lu, Ray; Ma, Annie; Nyhan, Brendan; Pham, Daniel; Qian, Michael; Tan, Mackinley; Wang, Clara; Wasdahl, Alexander; Woodruff, Alexandra (2019). “Counting the Pinocchios: the effect of summary fact-checking data on perceived accuracy and favorability of politicians”. Research & politics, v. 6, n. 3. https://doi.org/10.1177/2053168019870351
4. Arslan, Fatma (2021). Modeling factual claims with semantic frames: definitions, datasets, tools, and fact-checking applications. Doctoral dissertation. The University of Texas at Arlington. https://rc.library.uta.edu/uta-ir/bitstream/handle/10106/30765/ARSLAN-DISSERTATION-2021.pdf
5. Babakar, Mevan; Moy, Will (2016). The state of automated factchecking. How to make factchecking dramatically more effective with technology we have now. Full Fact. https://fullfact.org/media/uploads/full_fact-the_state_of_automated_factchecking_aug_2016.pdf