Spot a bot
Last updated: August 8, 2024
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What is 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.
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Spot a bot's Top Features
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
Frequently asked questions about Spot a bot
Spot a bot's pricing
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Use Cases
Researchers
Use Spot A Bot to study the prevalence and impact of bots on Twitter.
Journalists
Utilize Spot A Bot to report on social media trends and the influence of bots.
Social Media Analysts
Analyze social media trends and detect bot activity across different topics.
Marketing Professionals
Assess the authenticity of Twitter engagements and trends.
Educators
Incorporate Spot A Bot findings in teaching about social media, AI, and data science.
Students
Leverage Spot A Bot for academic projects relating to artificial intelligence and social media.
Developers
Use insights from Spot A Bot to enhance algorithms for bot detection.
Policy Makers
Understand the impact of social media bots when forming digital communication policies.
Public
Raise awareness about the presence and influence of bots on social media.
Advertisers
Ensure the integrity of digital ad engagements by filtering out bot interactions.
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Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.