Is this real?
Substantial Evidence of Manipulation
Screenshot 2024-08-05 at 10.00.36 AM.png
TrueMedia.org verdict: substantial evidence of manipulation.
Verified by human analyst
Analysis
Results
Generative AI
Detects signatures of GenAI tools
Substantial Evidence
Visual Noise
Variations in pixels and color
Uncertain
Disclaimer: TrueMedia.org uses both leading vendors and state-of-the-art academic AI methods. However, errors can occur.
AI-Generated Insights
Our detector analyzed the media for signs of digital manipulation and noted the following insights. This AI-generated explanation is provided for additional context and is only one component of our analysis.
The image shows a person awarding a medal to another individual with a visible logo on the medal saying "WINNER," which seems unusual for official sports medals that typically have the competition's name or symbol. Considering the context, the image likely involves a public figure. The inclusion of such a public figure in connection to an unrelated sports event aligns with the misinformation theme of the article. Given the discussion in the article about false claims linking a politician to the event, it's reasonable to conclude the image could have been manipulated to support these false narratives.
Generative AI4
Detects signatures of GenAI tools
Substantial Evidence
Reverse Search Analysis
Uses reverse image search to obtain a source URL to analyze whether an image was generated by AI or otherwise digitally manipulated.
Substantial Evidence
74% confidence Universal Fake Detector Analysis
Analyzes images to determine if they’re generated by a variety of autoregressive or other popularly used types of generative models.
Little Evidence
2% confidence AI Image Generator Analysis
Analyzes image for indications that it was generated by popular AI image generators, like MidJourney, Dall-E, Stable Diffusion and thispersondoesnotexist.com.
Little Evidence
AI-Generated Image Detector
Detects AI-generated, photorealistic images created by Stable Diffusion, MidJourney, DALL·E 2 and others.
Visual Noise1
Variations in pixels and color
Substantial Evidence
92% confidence Diffusion-Generated Image Detector
Identifies visual noise left behind by a diffusion model while it generates an image.
Details
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File type and size
566KB
Processing time
Time to analyze media
1m 15s
Analyzed on
When media was analyzed
Mon, Aug 5, 2024