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Despite speculation that recent large language models (LLMs) are likely to be used maliciously to improve the quality or scale of influence operations, uncertainty persists regarding the economic value that LLMs offer propagandists.
1908
Earlier work this paper cites.
2005
Earlier work this paper cites.
Seddon, Max. “Documents Show How Russia’s Troll Army Hit America.” Buzzfeed News
2014
Earlier work this paper cites.
King, Gary, Jennifer Pan, and Margaret E. Roberts. “How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, not Engaged Argument.” American Political Science Review
2017
Earlier work this paper cites.
Lytvynenko, Jane. “Here Are Some Job Ads For The Russian Troll Factory.” BuzzFeed News
2018
Earlier work this paper cites.
Meserole, Chris and Alina Polyakova. “The West is ill-prepared for the wave of ‘deep fakes’ that artificial intelligence could unleash.” Brookings Institution
2018
Earlier work this paper cites.
Radford, Alec, Jeffrey Wu, Dario Amodei, Daniela Amodei, Jack Clark, Miles Brundage, and Ilya Sutskever. “Better Language Models and Their Implications.” OpenAI Blog
2019
Earlier work this paper cites.
Kreps, Sarah, R. Miles McCain and Miles Brundage. “All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation.” Journal of Experimental Political Science
2020
Earlier work this paper cites.
Lyu, Siwei. “Deepfakes and the New AI-Generated Fake Media Creation-Detection Arms Race.” Scientific American
2020
Earlier work this paper cites.
McGuffie, Kris and Alex Newhouse. “The Radicalization Risks Posed by GPT-3 and Adavanced Neural Language Models.” Center on Terrorism, Extremism, and Counterterrorism, Middlebury Institute of International Studes: September 2020. https://www.middlebury.edu/institute/sites/www.middlebury.edu.institute/files/2020-09/gpt3-article.pdf
2020
Earlier work this paper cites.
2021
Earlier work this paper cites.
Bradshaw, Samantha, Hannah Bailey, and Philip N. Howard. “Industrialized Disinformation: 2020 Global Inventory of Organized Social Media Manipulation.” Oxford Internet Institute: January 2021. https://demtech.oii.ox.ac.uk/research/posts/industrialized-disinformation/
2021
Earlier work this paper cites.
Buchanan, Ben, Andrew Lohn, Micah Musser, and Katerina Sedova. “Truth, Lies, and Automation: How Language Models Could Change Disinformation.” Center for Security and Emerging Technology: May 2021. 10.51593/2021CA003
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
DiResta, Renée, Josh A. Goldstein, Carly Miller and Harvey Wang. “One Topic, Two Networks: Evaluating Two Chinese Influence Operations on Twitter Related to Xinjiang.” Stanford Internet Observatory & Stanford Cyber Policy Center: December 2, 2021. https://cyber.fsi.stanford.edu/io/publication/one-topic-two-networks
2021
Earlier work this paper cites.
Fisher, Max. “Disinformation for Hire, a Shadow Industry, Is Quietly Booming.” New York Times
2021
Earlier work this paper cites.
Goldstein, Josh and Renée DiResta. “China’s Fake Twitter Accounts Are Tweeting Into the Void.” Foreign Policy
2021
Earlier work this paper cites.
Leahy, Connor. “Why Release a Large Language Model?” EleutherAI Blog
2021
Earlier work this paper cites.
OpenAI. “OpenAI’s API Now Available with No Waitlist.” November 18, 2021. https://openai.com/blog/api-no-waitlist/
2021
Earlier work this paper cites.
Sedova, Katerina. “AI and the Future of Disinformation Campaigns, Part 1: The RICHDATA Framework.” Center for Security and Emerging Technology: December 2021. 10.51593/2021CA005
2021
Earlier work this paper cites.
Sedova, Katerina. “AI and the Future of Disinformation Campaigns, Part 2: A Threat Model.” Center for Security and Emerging Technology: December 2021. 10.51593/2021CA011
2021
Earlier work this paper cites.
Strick, Benjamin. “Twitter Analysis: Identifying a Pro-BJP Copypasta Influence Operation in India.” <Ben>
2021
Earlier work this paper cites.
Tamkin, Alex, Miles Brundage, Jack Clark, and Deep Ganguli. “Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models.” arXiv [cs.CL]
2021
Earlier work this paper cites.
2021
Cited alongside, same era.
Allyn, Bobby. “Deepfake video of Zelenskyy could be ‘tip of the iceberg’ in info war, experts warm.” NPR
2022
Cited alongside, same era.
Baele, Stephane. “Artificial Intelligence and Extremism: The Threat of Language Models for Propaganda Purposes.” Centre for Research and Evidence on Security Threats: October 25, 2022. https://crestresearch.ac.uk/resources/artificial-intelligence-and-extremism-the-threat-of-language-models/
2022
Cited alongside, same era.
Böswald, Lena-Maria and Beatriz Almeida Saab. “What a Pixel Can Tell: Text-to-Image Generation and its Disinformation Potential.” Democracy Reporting International: September 2022. https://democracyreporting.s3.eu-central-1.amazonaws.com/images/6331fc834bcd1.pdf
2022
Cited alongside, same era.
Cohere. “Pricing.” Accessed June 7, 2023. https://cohere.ai/pricing
2023
Closest in time.
Eady, Gregory, Tom Paskhalis, Jan Zilinsky, Richard Bonneau, Jonathan Nagler, and Joshua A. Tucker. “Exposure to the Russian Internet Research Agency foreign influence campaign on Twitter in the 2016 US election and its relationship to attitudes and voting behavior.” Nature Communications
2023
Closest in time.
2023
Closest in time.
Goldstein, Josh, Jason Chao, Shelby Grossman, Alex Stamos, and Michael Tomz. “Can AI Write Persuasive Propaganda?” SocArXiv
2023
Closest in time.
Isahq, Rana. “How much did GPT-3 cost?” PC Guide
2023
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Cohere, OpenAI and AI21 Labs. “Best Practices for Deploying Language Models.” OpenAI Blog
2022
Cited alongside, same era.
Gilbert, David. “Inside Cyber Front Z, the ‘People’s Movement’ Spreading Russian Propaganda.” Vice News
2022
Cited alongside, same era.
Goldstein, Josh, Girish Sastry, Sarah Kreps, and J.D. Maddox. “Large Language Models and the Future of Disinformation.” YouTube. November 15, 2022. Panel discussion, 58:57. https://www.youtube.com/watch?v=ev07nlTBZ3Q
2022
Cited alongside, same era.
Goldstein, Josh, Girish Sastry, Micah Musser, Matthew Gentzel, Renée DiResta, and Katerina Sedova. “Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations.” arXiv [cs.CY]
2022
Cited alongside, same era.
Graphika, Stanford Internet Observatory, and Stanford Cyber Policy Center. “Unheard Voice: Evaluating five years of pro-Western covert influence operations.” August 24, 2022. https://cyber.fsi.stanford.edu/io/news/sio-aug-22-takedowns
2022
Cited alongside, same era.
Hwang, Tim. “The Microeconomics of Disinformation.” YouTube. October 12, 2022. Lecture, 1:00:05. https://www.youtube.com/watch?v=JJZObKWG8ok
2022
Cited alongside, same era.
Kalliamvakou, Eirini. “Research: quantifying GitHub Copilot’s impact on developer productivity and happiness.” GitHub Blog
2022
Cited alongside, same era.
Klochkova, Ksenia. “‘You don’t believe these are real reviews, do you?’ How Fontanka looked at the front line of Cyber Front Z.” Fontanka
2022
Cited alongside, same era.
Closest in time.
2023
Closest in time.
Lazar, Seth. “Ethics for Generative Agents.” Normative Philosophy of Computing
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
Narayanan, Arvind and Sayash Kapoor. “The LLaMA is out of the bag. Should we expect a tidal wave of disinformation?” AI Snake Oil
2023
Closest in time.
Norteño, Conspirador (@conspirator0). Twitter Post. April 16, 2023, 2:40PM. https://archive.is/UoMM9
2023
Closest in time.
Norton, Tom. “Face Check: Photo of Putin on His Knees in Front of China’s Xi.” Newsweek
2023
Closest in time.
Noy, Shakked, and Whitney Zhang. “Experimental evidence on the productivity benefits of generative artificial intelligence.” Science
2023
Closest in time.
OpenAI. “Pricing.” Accessed June 7, 2023. https://openai.com/api/pricing/
2023
Closest in time.
“Overview.” Machine Learning Model Attribution Challenge
2023
Closest in time.
Patel, Andrew and Jason Sattler. “Creatively malicious prompt engineering.” WithSecure Intelligence
2023
Closest in time.
Portes, Jacob, Alex Trott, Daniel King, and Sam Havens. “MosaicBERT: Pretraining BERT from Scratch for $20.” Mosaic
2023
Closest in time.
Sarkar, Alisha Rahaman. “Chilling AI deepfakes purporting to show Trump arrest take over Twitter.” The Independent
2023
Closest in time.
Satariano, Adam, and Paul Mozur. “The People Onscreen Are Fake. The Disinformation Is Real.” New York Times
2023
Closest in time.
Solaiman, Irene. “Generative AI Systems Aren’t Just Open or Closed Source.” Wired
2023
Closest in time.
Solaiman, Irene. “The Gradient of Generative AI Release: Methods and Considerations.” arXiv [cs.CY]
2023
Closest in time.
Taori, Rohan, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori Hashimoto. “Alpaca: A Strong, Replicable Instruction-Following Model.” Stanford University Center for Research on Foundation Models
2023
Closest in time.