How does Twitter detect manipulated media

Twitter uses a combination of automated systems and human review to detect manipulated media on the platform. Here are some of the ways that Twitter detects manipulated media:

1. Image and video analysis: Twitter uses automated systems to analyze images and videos for signs of manipulation, such as changes to the content or metadata. These systems can detect common forms of manipulation, such as cropping, resizing, and color adjustment.
2. Reverse image search: Twitter may use reverse image search tools to determine if an image has been previously published or altered. This can help the platform to identify instances of manipulated media and take appropriate action.
3. User reporting: Twitter encourages users to report suspected manipulated media, as this helps the platform to detect and remove such content more quickly. Users can report suspected manipulated media through the platform's reporting flow.
4. Human review: In some cases, Twitter may conduct human review of media content to verify its authenticity. This can involve analyzing the content for signs of manipulation, as well as reviewing the context in which the content was shared.
5. Partnering with fact-checkers: Twitter has partnered with third-party fact-checking organizations to help verify the authenticity of media content. These organizations can provide independent verification of the accuracy of the content and help to prevent the spread of misinformation.

It is important to note that while Twitter takes steps to detect manipulated media, the platform cannot guarantee the accuracy of all content shared on the platform. Users should exercise caution when engaging with media content and verify the accuracy of the content before sharing it with others.