Influence operations are large-scale efforts to manipulate public opinion. The rapid detection and disruption of these operations is critical for healthy public discourse. Emergent AI technologies may enable novel operations which evade current detection methods and influence public discourse on social media with greater scale, reach, and specificity. New methods with inductive learning capacity will be needed to identify these novel operations before they indelibly alter public opinion and events. We develop an inductive learning framework which: 1) determines content- and graph-based indicators that are not specific to any operation; 2) uses graph learning to encode abstract signatures of coordinated manipulation; and 3) evaluates generalization capacity by training and testing models across operations originating from Russia, China, and Iran. We find that this framework enables strong cross-operation generalization while also revealing salient indicators$\unicode{x2013}$illustrating a generic approach which directly complements transductive methodologies, thereby enhancing detection coverage.

The graph represents a network of 1,485 Twitter users whose recent tweets contained "#MegaTrends", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 November 2019 at 16:54 UTC. The tweets in the network were tweeted over the 9-day, 6-hour, 9-minute period from Sunday, 17 November 2019 at 10:27 UTC to Tuesday, 26 November 2019 at 16:36 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

Facebook said they will not take down a video of Mark Zuckerberg created using artificial intelligence, called a "deepfake." The company recently faced backlash for refusing to remove altered video of House Speaker Nancy Pelosi.

Ms. Saya, a perky receptionist in a smart canary-yellow suit, beamed a smile from behind the "May I Help You?" sign on her desk, offering greetings and answering questions posed by visitors at a local university. But when she failed to welcome a workman who had just walked by, a professor stormed up to Saya and dished out a harsh reprimand. "You're so stupid!" said the professor, Hiroshi Kobayashi, towering over her desk. "Eh?" she responded, her face wrinkling into a scowl. "I tell you, I am not stupid!"