@inbook{fb05694acdb744468acdc387995eee09,
title = "Graph-Based Semi-Supervised and Supervised Approaches for Detecting Pathogenic Social Media Accounts",
abstract = "In this chapter, we adopt the causal inference framework described previously along with graph-based metrics to distinguish PSMs from normal users within a short time of their activities. We propose both supervised and semi-supervised approaches without taking the network information and content into account. Results on the ISIS-A dataset demonstrate the advantage of our proposed frameworks. We show our approach achieves 0.28 improvement in F1 score over existing approaches with the precision of 0.90 and F1 score of 0.63.",
author = "Hamidreza Alvari and Elham Shaabani and Paulo Shakarian",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2021",
doi = "10.1007/978-3-030-61431-7_6",
language = "English (US)",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
pages = "63--75",
booktitle = "SpringerBriefs in Computer Science",
}