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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.
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Uses XGBoost algorithm
68% model accuracy
Analyzes profiles and tweets
Visualizes trend data
Classifies accounts as bot, unsure, or human
User-friendly platform
Educational project
Focuses on transparency and clarity
Updated regional trends
API policy change updates
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