![PDF] A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers | Semantic Scholar PDF] A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/c88a105f2c43f144f5f4ee18cb1aee4f33cf11dd/4-Figure1-1.png)
PDF] A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers | Semantic Scholar
spaCy on Twitter: "TwiBot-22: a state-of-the-art graph-based Twitter bot detection benchmark 🐙 Twitter bot detection is an exciting challenge, not just when you try to buy Twitter 😉 This paper uses spaCy
![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
![The four phases of our bot detector architecture. Note the second round... | Download Scientific Diagram The four phases of our bot detector architecture. Note the second round... | Download Scientific Diagram](https://www.researchgate.net/publication/319438700/figure/fig1/AS:564624865349632@1511628466442/The-four-phases-of-our-bot-detector-architecture-Note-the-second-round-of-tweet.png)
The four phases of our bot detector architecture. Note the second round... | Download Scientific Diagram
![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)