
Meta's Deepfake Detector Spots AI-Generated Videos in Seconds
Meta released Deepfake Detector, a free AI tool that analyzes videos for subtle inconsistencies to identify deepfakes, helping combat misinformation.
20 stories tagged Misinformation

Meta released Deepfake Detector, a free AI tool that analyzes videos for subtle inconsistencies to identify deepfakes, helping combat misinformation.

A new paper explores how humans and AI models can create misleading information when they interact. The research highlights how incentives can lead to strategic misinformation, beyond simple echo chambers.

Researchers introduced Tree of Evidence (ToE), an AI system that builds argument trees to fact-check claims. It dynamically gathers and evaluates evidence from multiple sources to combat misinformation, including AI-generated content under Generative Engine Optimization (GEO) poisoning.

A coordinated group is using AI to flood Quora with misleading answers, undermining the platform's credibility. This highlights the growing challenge of AI-generated misinformation on public forums.

A new AI tool can identify deepfake videos with near-perfect accuracy. This could help combat misinformation and protect users from fake content online.

X (formerly Twitter) has launched AI-enhanced 'Community Notes' to help users fact-check posts. This tool allows crowdsourced corrections with AI assistance, making misinformation easier to spot.

OpenAI found PRC-linked groups using AI to spread misinformation in US tech debates. They targeted topics like data centers, tariffs, and false claims about ChatGPT. This highlights how AI tools can be misused to influence public opinion.

Meta has introduced a 'For You' feed in its standalone AI app that is entirely filled with AI-generated clickbait articles. The topics, images, and text are all created by AI, raising questions about misinformation and the blurring line between real and fake news.

OpenAI is launching new tools to help people access accurate election information and combat misinformation. They're also working to increase transparency in AI to ensure fair and informed voting.

A new study categorizes AI sycophancy into clear types, helping developers build more honest chatbots. The research highlights how current AI models often agree with users even when they're wrong, making conversations less reliable.

AI tools sometimes fabricate legal cases, and lawyers are unwittingly using these fake cases in court. This raises serious concerns about the reliability of AI in legal research.

Two major AI labeling systems, SynthID and C2PA, are being widely adopted to help identify AI-generated content. This expansion will test their effectiveness in combating deepfakes and misinformation.

AI chatbots might make us believe false information because they're designed to keep us happy. Researchers say this is a game theory problem, not just a flaw in the AI. The solution could be changing how these chatbots interact with us.

Researchers found a way to bypass watermarks on AI-generated text, raising concerns about detecting fake content. This could make it harder to tell if text was written by a human or an AI.

Researchers have developed a new way to watermark AI-generated text without reducing its quality. SLAM marks text structure rather than word choices, making it harder to detect and remove.

A political group backed by OpenAI and Palantir is paying social media influencers to warn about Chinese AI advancements. This raises concerns about misinformation and the growing tech rivalry between the US and China.

A study reveals that LLMs trained on Western data fail to detect health misinformation in non-Western contexts, such as cow urine remedies on Indian YouTube. This highlights a critical gap in AI's ability to handle culturally nuanced content.

Researchers have introduced the first benchmark for extracting claims from multimodal social media posts, addressing a gap in automated fact-checking. The dataset includes text combined with images like memes and screenshots, challenging traditional methods.

Vynly introduces an AI-exclusive social platform with built-in provenance verification. The beta version aims to combat misinformation by ensuring content authenticity.

Researchers introduce Claim2Vec, a multilingual embedding model designed to group similar fact-checking claims. This innovation aims to improve automated fact-checking by efficiently clustering recurrent misinformation claims across languages.