imqxms/2021_bytedance_security_ai_track1_open
🏅 2021 字节跳动安全 AI 挑战赛赛道 7th 基于文本和多模态数据的风险识别（色情导流用户识别）
This project helps online platform moderators and trust & safety teams automatically identify users involved in illicit adult content promotion or 'pornographic diversion'. By analyzing user profiles, activity logs, and content submissions, it flags high-risk accounts. It takes in user demographic data, posted content details, and behavioral information, and outputs a list of potentially malicious user IDs.
No commits in the last 6 months.
Use this if you need an automated system to detect and flag users who are exploiting your platform for promoting adult content or redirecting traffic to illicit sites.
Not ideal if you need to analyze highly complex, nuanced textual content for subtle forms of hate speech or misinformation, as this is specifically designed for pornographic diversion.
Stars
23
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 03, 2022
Commits (30d)
0
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