GitHub - scrapfishies/twitter-bot-detection: Twitter Bot or Not: Twitter bot detection with supervised machine learning models
![DNA-influenced automated behavior detection on twitter through relative entropy | Scientific Reports DNA-influenced automated behavior detection on twitter through relative entropy | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-11854-w/MediaObjects/41598_2022_11854_Fig1_HTML.png)
DNA-influenced automated behavior detection on twitter through relative entropy | Scientific Reports
spaCy on Twitter: "TwiBot-22: a state-of-the-art graph-based Twitter bot detection benchmark ๐ Twitter bot detection is an exciting challenge, not just when you try to buy Twitter ๐ This paper uses spaCy
![Top: Real-time Twitter Bot Detection System. Bottom left: Percentages... | Download Scientific Diagram Top: Real-time Twitter Bot Detection System. Bottom left: Percentages... | Download Scientific Diagram](https://www.researchgate.net/publication/324558169/figure/fig1/AS:616256990371841@1523938524294/Top-Real-time-Twitter-Bot-Detection-System-Bottom-left-Percentages-of-daily-tweets.png)
Top: Real-time Twitter Bot Detection System. Bottom left: Percentages... | Download Scientific Diagram
![Shangbin Feng on Twitter: "Existing Twitter bot detection dataset suffers from low levels of user diversity, limited user information and data scarcity. As a result, they do not present a stable benchmark Shangbin Feng on Twitter: "Existing Twitter bot detection dataset suffers from low levels of user diversity, limited user information and data scarcity. As a result, they do not present a stable benchmark](https://pbs.twimg.com/media/E5mt8doUUAEQbDc.png)
Shangbin Feng on Twitter: "Existing Twitter bot detection dataset suffers from low levels of user diversity, limited user information and data scarcity. As a result, they do not present a stable benchmark
![PDF] Using sentiment to detect bots on Twitter: Are humans more opinionated than bots? | Semantic Scholar PDF] Using sentiment to detect bots on Twitter: Are humans more opinionated than bots? | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/6541804922315af6454563ae75964dd42360b96f/2-Figure1-1.png)
PDF] Using sentiment to detect bots on Twitter: Are humans more opinionated than bots? | Semantic Scholar
![BOT SPAMMER DETECTION IN TWITTER USING TWEET SIMILARITY AND TIME INTERVAL ENTROPY | Semantic Scholar BOT SPAMMER DETECTION IN TWITTER USING TWEET SIMILARITY AND TIME INTERVAL ENTROPY | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/88e1623bc8d94ca43d6e3828a6fcc31fef61f2a1/4-Figure1-1.png)
BOT SPAMMER DETECTION IN TWITTER USING TWEET SIMILARITY AND TIME INTERVAL ENTROPY | Semantic Scholar
![DNA-influenced automated behavior detection on twitter through relative entropy | Scientific Reports DNA-influenced automated behavior detection on twitter through relative entropy | Scientific Reports](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41598-022-11854-w/MediaObjects/41598_2022_11854_Fig2_HTML.png)