Detection of malicious ad fraud bots from humans online as soon as possible
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Updated
Apr 2, 2018 - Python
Detection of malicious ad fraud bots from humans online as soon as possible
Project consisting of models, which predict if a twitter user is a Bot or not
BirdSpotter is a python package which provides an influence and bot detection toolkit for twitter.
An application that generates a report to identify potential bots that a Twitter user is following.
An application to watch the Twitter stream and send accounts to the Botometer API for analysis. The results are stored in a SQLite database.
Bot detection test environment and tool to obtain characteristics for the detection of bots
Bot detection via Deep Learning methods on the Twitter social media platform
Protection of Web applications with behavioral biometrics – bot detection module
Twitter bot detection using graph neural networks.
A Multi-relational Graph-Based Twitter Account Detection Benchmark
🐦 Twitter Bots Influence on the Russo-Ukrainian War During the 2022 Italian General Elections
🤖 In this work, we present our approach for the Author Profiling task of PAN 2019. The task is divided into two sub-problems, bot, and gender detection, for two different languages: English and Spanish.
Detect bots/crawlers/spiders via user-agent string
Python agent string parser based on Udger https://udger.com/products/local_parser
Repository for paper Spot the Bot: Inverse Problems of NLP, by Gromov V.A., Dang Q.N., Kogan A.S., Yerbolova A.S..
首届社交群体智能算法大赛 【赛题1:社交媒体舆论场虚假账号检测】第三名(0.8248)方案
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
Caterpillar Proxy - The simple web debugging proxy (formerly, php-httpproxy)
The All in One Framework to build Awesome Scrapers.
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