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TrueMedia.org is a non-partisan, non-profit platform focused on combating AI-based disinformation, with a particular emphasis on political campaigns.


It specializes in the identification of manipulated media, such as deepfakes often observed on social media platforms. The proliferation and easy distribution of such AI-based forgery, as the cost of creating and giving out deepfakes dramatically plunges, is seen as a major problem, leading to the manipulation and forgery of video, audio, images, and text.


Various notable deepfakes involving public figures have been identified by TrueMedia.org, emphasizing the importance and scale of this issue.


Founded by Dr. Oren Etzioni, an award-winning AI expert and professor, the platform aims to make a significant contribution to solving this problem. Utilizing generative AI security against deepfakes and AI to understand content, it offers a deepfake detector as part of its solution.


This tool aids newsrooms and other entities in identifying and revealing artificial forgery in media content. Its focus is on fostering a safer, more reliable digital information space, especially in light of crucial political events such as elections.

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Pros & Cons


  • Disinformation countermeasures
    Recognises political deepfakes
    Identifies manipulated media
    Media verification
    Focus on election security
    Deepfake detection
    Non-partisan platform
    Non-profit platform
    Works on social media
    Digital safety priority
    Records of notable detections
    Free to use
    Multiple media type analysis
    Detailed product demos
    Scientific advisory board
    Proactive deepfake detection
    API for deepfake detection
    Frequent updates
    User submission of deepfakes
    Associated with Stanford University
    Associated with Microsoft


  • Only focused on political deepfakes
    Specialized, not versatile
    No text manipulation detection
    No collaborative features
    No mobile application
    Doesn't support multiple languages
    No real-time detection
    Limited public figures database
    No self-learning mechanism

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