Deep Neural Networks for Bot Detection (arxiv.org)

From a research paper on Arxiv: The problem of detecting bots, automated social media accounts governed by software but disguising as human users, has strong implications. For example, bots have been used to sway political elections by distorting online discourse, to manipulate the stock market, or to push anti-vaccine conspiracy theories that caused health epidemics. Most techniques proposed to date detect bots at the account level, by processing large amount of social media posts, and leveraging information from network structure, temporal dynamics, sentiment analysis, etc. In this paper [PDF], we propose a deep neural network based on contextual long short-term memory (LSTM) architecture that exploits both content and metadata to detect bots at the tweet level: contextual features are extracted from user metadata and fed as auxiliary input to LSTM deep nets processing the tweet text.

Comments

Re:Hmm

[LifesABeach]

Let me see if I understand this correctly. A bunch H!B lying dumb asses created FaceBook. Now some really bad dudes that would have no second thoughts about deleting Cadet Bone Spurs and anyone else that poses a problem; shows up. When is enough, enough?