Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data

Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data

In this thesis, we have studied the problem of detecting automated Twitter accounts related to the Ukraine conflict using supervised learning. A striking problem with the collected data set is that it was initially lacking a ground truth. Traditionally, supervised learning approaches rely on manual...

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Bibliographic Details
Main Author: Teljstedt, Erik Christopher
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2016
Subjects:
bot detection
information operations
synthetically constructed training data
social media analysis
classification
learning systems
social networking (online)
classification performance
classification results
machine learning approaches
military conflicts
semi-automatic
automation
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656

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