| Generative language models and automated influence operations: Emerging threats and potential mitigations JA Goldstein, G Sastry, M Musser, R DiResta, M Gentzel, K Sedova arXiv preprint arXiv:2301.04246, 2023 | 187 | 2023 |
| How Disinformation Evolved in 2020 JA Goldstein, S Grossman Brookings Tech Stream, 2021 | 33* | 2021 |
| Political retweet rings and compromised accounts: A Twitter influence operation linked to the youth wing of Turkey’s ruling party S Grossman, FA Akis, A Alemdaroğlu, JA Goldstein, K Jonsson, ... URL https://cyber. fsi. stanford. edu/io/news/june-2020-twitter-takedown, 2020 | 15 | 2020 |
| How persuasive is AI-generated propaganda? JA Goldstein, J Chao, S Grossman, A Stamos, M Tomz PNAS nexus 3 (2), pgae034, 2024 | 14* | 2024 |
| AI tools as science policy advisers? The potential and the pitfalls C Tyler, KL Akerlof, A Allegra, Z Arnold, H Canino, MA Doornenbal, ... Nature 622 (7981), 27-30, 2023 | 10 | 2023 |
| Cheerleading without fans: A low-impact domestic information operation by the Royal Thai Army JA Goldstein, A Sinpeng, D Bush, R Ewald, J John California, USA: Stanford Internet Observatory, 2020 | 10 | 2020 |
| Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk JA Goldstein, G Sastry, M Musser, R DiResta, M Gentzel, K Sedova Center for Security and Emerging Technology, January, 2023 | 9 | 2023 |
| Research can help to tackle AI-generated disinformation S Feuerriegel, R DiResta, JA Goldstein, S Kumar, P Lorenz-Spreen, ... Nature Human Behaviour 7 (11), 1818-1821, 2023 | 7 | 2023 |
| China’s fake twitter accounts are tweeting into the void R DiResta, JA Goldstein Foreign Policy, 2021 | 6 | 2021 |
| The Coming Age of AI-Powered Propaganda How to Defend Against Supercharged Disinformation JA Goldstein, G Sastry URL: https://www.foreignaffairs.com/united-states/coming-age-ai-powered …, 2023 | 5 | 2023 |
| Research note: this salesperson does not exist: how tactics from political influence operations on social media are deployed for commercial lead generation JA Goldstein, R DiResta Harvard Kennedy School (HKS) Misinformation Review 3 (5), 2022 | 4 | 2022 |
| One topic, two networks: evaluating two Chinese influence operations on Twitter related to Xinjiang R DiResta, JA Goldstein, C Miller, H Wang, SY, MD Stanford Internet Observatory, Cyber Policy Center, 2021 | 4* | 2021 |
| Middle East Influence Operations: Observations Across Social Media Takedowns R DiResta, JA Goldstein, S Grossman Digital Activism and Authoritarian Adaptation in the Middle East, 91, 2021 | 2 | 2021 |
| Belief in COVID-19 Misinformation in Nigeria JA Goldstein, S Grossman, M Startz Journal of Politics, 2023 | 1 | 2023 |
| The Ethics of Advanced AI Assistants I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ... arXiv preprint arXiv:2404.16244, 2024 | | 2024 |
| How Spammers and Scammers Leverage AI-Generated Images on Facebook for Audience Growth R DiResta, JA Goldstein arXiv preprint arXiv:2403.12838, 2024 | | 2024 |
| Deepfakes, Elections, and Shrinking the Liar's Dividend JA Goldstein, A Lohn Brennan Center for Justice https://www.brennancenter.org/our-work/research …, 2024 | | 2024 |
| Controlling Large Language Model Outputs: A Primer J Ji, JA Goldstein, AJ Lohn Center for Security and Emerging Technology https://doi.org/10.51593/2023CA009, 2023 | | 2023 |
Renee DiRestaStanford Internet ObservatoryVerified email at stanford.edu
