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Deep Fake Detector
Overview :
Deep Fake Detector is a browser plugin designed to help users differentiate between text authored by humans and that generated by AI tools. This plugin employs multiple open-source detection models to analyze any highlighted text and presents the findings from each model, allowing users to choose the optimal model combination. While AI detection cannot guarantee 100% accuracy, the developers continuously enhance the Fakespot ApolloDFT engine to improve its reliability. The importance of this plugin lies in its ability to help users identify the authenticity of information in an era where AI text generation technology is rapidly advancing, thus preventing them from being misled by false information.
Target Users :
The target audience includes researchers, journalists, content moderators, and the general public. Researchers and journalists can use this plugin to verify the authenticity of information sources, content moderators can utilize it to identify and filter AI-generated false content, while ordinary internet users can leverage it to discern the credibility of online information, thereby enhancing their information literacy.
Use Cases
Journalists use Deep Fake Detector to verify if quotes in news reports are AI-generated.
Social media users employ this plugin to identify false comments and misinformation.
Content moderation teams utilize Deep Fake Detector to filter out AI-generated spam and fake comments.
Features
Analyze highlighted text using multiple open-source detection models
Display analysis results from each model for easy comparison and selection
Allow users to effortlessly switch between different detection models
Provide instant analysis results indicating whether the text is likely written by a human or displays AI patterns
Future support for image and video analysis
How to Use
1. Install the Firefox browser and download the Deep Fake Detector plugin.
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2. Once installed, highlight any text on the webpage.
3. Click the plugin icon to request an instant analysis.
4. The plugin will display the analysis results, indicating whether the text is likely written by a human or exhibits AI characteristics.
5. Users can switch between different detection models as needed to find the most suitable analysis results.
6. Review detailed analysis from each model for a deeper understanding.
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