Oyebamiji-Micheal/Detection-of-Social-Bots-using-Machine-Learning
Using Random Forest algorithm to detect automated accounts on Twitter and Instagram
This helps social media platforms and brand managers identify and remove automated accounts, often called bots, from Twitter and Instagram. It takes in user profile data like follower counts, friends, and tweet frequency, and outputs a classification of whether an account is genuine or a bot. Social media analysts, platform integrity teams, and brand strategists can use this to ensure authentic interactions and combat misinformation.
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Use this if you need to detect and mitigate the impact of automated bot accounts on your social media platform or brand's online presence, especially on Twitter and Instagram.
Not ideal if you require real-time, high-volume bot detection across a very wide range of social media platforms beyond Twitter and Instagram, or if you need to analyze highly specialized bot behaviors.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 21, 2024
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