mkearney/tweetbotornot
🤖 R package for detecting Twitter bots via machine learning
This tool helps researchers, marketers, or anyone analyzing social media quickly identify automated (bot) accounts on Twitter. You provide a list of Twitter screen names or user IDs, and it outputs a probability score indicating whether each account is a bot or not. This is for social media analysts, researchers, or data scientists looking to clean their data or understand user authenticity.
387 stars. No commits in the last 6 months.
Use this if you need to determine the authenticity of Twitter accounts, filter out automated activity from your social media data, or identify bot networks for research or competitive analysis.
Not ideal if you require real-time, high-volume bot detection without rate limits or if you need extremely nuanced analysis beyond a simple bot/not-bot classification.
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387
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133
Language
R
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Last pushed
Oct 20, 2021
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