Disinformation: Detect to Disrupt. - Craig Corcoran; Renee DiResta; David Morar; Numa Dhamani; David Sullivan; Jeffrey L. Gleason; Paul Azunre; Steve Kramer; Becky Ruppel (TTO, 2019)

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations. - Josh A. Goldstein; Girish Sastry; Micah Musser; Renee DiResta; Matthew Gentzel; Katerina Sedova (CoRR, 2023)

Factuality Challenges in the Era of Large Language Models. - Isabelle Augenstein; Timothy Baldwin; Meeyoung Cha; Tanmoy Chakraborty 002; Giovanni Luca Ciampaglia; David P. A. Corney; Renee DiResta; Emilio Ferrara; Scott Hale; Alon Y. Halevy; Eduard H. Hovy; Heng Ji 001; et al. (CoRR, 2023)

How Spammers and Scammers Leverage AI-Generated Images on Facebook for Audience Growth. - Renee DiResta; Josh A. Goldstein (CoRR, 2024)

Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online. - Steven Adler; Zoë Hitzig; Shrey Jain; Catherine Brewer; Wayne Chang; Renee DiResta; Eddy Lazzarin; Sean McGregor; Wendy Seltzer; Divya Siddarth; Nouran Soliman; Tobin South; et al. (CoRR, 2024)

AI and the Future of Digital Public Squares. - Beth Goldberg; Diana Acosta-Navas; Michiel A. Bakker; Ian Beacock; Matthew Botvinick; Prateek Buch; Renee DiResta; Nandika Donthi; Nathanael Fast; Ravi Iyer; Zaria Jalan; Andrew Konya; et al. (CoRR, 2024)

Factuality challenges in the era of large language models and opportunities for fact-checking. - Isabelle Augenstein; Timothy Baldwin; Meeyoung Cha; Tanmoy Chakraborty 002; Giovanni Luca Ciampaglia; David P. A. Corney; Renee DiResta; Emilio Ferrara; Scott Hale; Alon Y. Halevy; Eduard H. Hovy; Heng Ji 001; et al. (Nat. Mac. Intell., 2024)