Spot a Bot focuses on detecting bots on Twitter by analyzing trends and profiles. It aims to categorize Twitter profiles as bot or human-generated to understand the impact of bots on social media. The tool is developed by a team from the Salzburg University of Applied Sciences and seeks to create a transparent and accessible method for bot detection. With an impressive accuracy of 86% and a substantial dataset analyzed, Spot a Bot provides insights into bot activity on the platform, contributing to the broader conversation about social media manipulation and integrity.
• analyzes twitter trends
• contributes to scientific research
• visualizes classification process
• categorizes profiles as bot or human
• estimates bot accounts on twitter
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A federated AI framework that integrates decentralized data sources for AI development.
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