Spot a bot
Spot A Bot is a project by students from Salzburg University of Applied Sciences aimed at identifying bot accounts on Twitter. They use machine learning, specifically XGBoost, to analyze Twitter profiles and tweets, determining the likelihood of accounts being bots with a model accuracy of 68%. Through analyzing trends from various regions, the project visualizes the distribution of bots vs. humans in various trending topics, thus raising awareness about the presence and impact of bots in social media.
Features
- Uses XGBoost algorithm
- 68% model accuracy
- Analyzes profiles and tweets
- Visualizes trend data
- Classifies accounts as bot
- unsure
- or human
- User-friendly platform
Use Cases
- Researchers
- Journalists
- Social Media Analysts
- Marketing Professionals
- Educators
- Students
- Developers
- Policy Makers
