19 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.CR2018★ 19 cited
LOBO -- Evaluation of Generalization Deficiencies in Twitter Bot Classifiers
Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis +3
Botnets in online social networks are increasingly often affecting the regular flow of discussion, attacking regular users and their posts, spamming them with irrelevant or offensi…
cs.SI2017★ 1 cited
Discovery of the Twitter Bursty Botnet
Juan Echeverria, Christoph Besel, Shi Zhou
Many Twitter users are bots. They can be used for spamming, opinion manipulation and online fraud. Recently we discovered the Star Wars botnet, consisting of more than 350,000 bots…
cs.SI2017★ 6 cited
Discovery, Retrieval, and Analysis of 'Star Wars' botnet in Twitter
Juan Echeverría, Shi Zhou
It is known that many Twitter users are bots, which are accounts controlled and sometimes created by computers. Twitter bots can send spam tweets, manipulate public opinion and be…