A daily report on AI misinformation, deepfakes, synthetic-media provenance and policy, with graphs and source evidence. Coverage counts are signals of attention—not measures of importance, harm or consensus.
Tracks synthetic media, election manipulation, impersonation, detection, watermarking and content provenance. A tagged item is evidence of published attention, not proof that a disputed asset is synthetic.
Rechtsanwältin Dr. Franka Becker warnt: Deepfakes und geklonte Stimmen senken die Hemmschwelle für Manipulationen und stellen die Beweisführung vor Probleme.
A Brennan Center study found that major AI chatbots refused to endorse false election claims. The same companies’ image tools produced fake evidence for those claims on demand.
Welcome to AI Decoded , Fast Company ’s weekly newsletter that breaks down the most important news in the world of AI. I’m Mark Sullivan, a senior writer at Fast Company , covering emerging tech, AI, and tech policy. Sign up to receive this newsletter every week via email here . And if you have comments on this issue and/or ideas for future ones, drop me a line at sullivan@fastcompany.com , and follow me on X @thesullivan . As midterms loom, AI chatbots fight election lies, but then supply image
A Brennan Center study found that major AI chatbots refused to endorse false election claims. The same companies’ image tools produced fake evidence for those claims on demand.
« Dix ans de post-vérité » (4/5). A peine Donald Trump élu en 2016, l’anglicisme « fake news » se diffuse dans le monde entier. Ambigu, malmené et récupéré, il est aujourd’hui remplacé par des termes plus techniques.
AI was involved in 55% of cybercrime cases observed by African countries surveyed by Interpol in 2025, as criminals used the technology to produce convincing phishing messages, fabricate identities, and impersonate executives and public figures. Deepfake incidents increased sevenfold between the second and fourth quarters of 2024.
arXiv:2508.05849v3 Announce Type: replace Abstract: The proliferation of misinformation on social media has concerning possible consequences, such as the degradation of democratic norms. While recent research on countering misinformation has largely focused on analyzing the effectiveness of interventions, the factors associated with public support for these interventions have received little attention. We asked 1,010 American social media users to rate their support for and perceptions of ten mi
arXiv:2510.10315v4 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly relying on web crawling to stay up to date and accurately answer user queries. These crawlers are expected to honor robots.txt files, which govern automated access. In this study, for the first time, we investigate whether reputable news websites and misinformation sites differ in how they configure these files, particularly in relation to AI crawlers. Analyzing a curated dataset, we find a stark co
This report is assembled automatically from source metadata and keyword classifications. It summarizes what the tracked source fleet published; it does not independently validate every linked claim. Source-fleet growth can inflate historical comparisons. Cite the individual evidence record and original publisher for substantive claims.