EXPLORATORY GRAPH BASED BOT DETECTION APPLICATION ON REDDIT SUBNETWORKS
EXPLORATORY GRAPH BASED BOT DETECTION APPLICATION ON REDDIT SUBNETWORKS
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Date
2021
Authors
Cruz, Gabriel
Advisor
Golbeck, Jennifer
Citation
DRUM DOI
Abstract
Methods for detecting bots have traditionally focused on implementing machine learning systems to classify abnormal behavior. We focus on abnormal term usage as a markerof bot behavior around politically charged language regarding the Covid-19 pandemic on
Reddit. We look at multiplex networks abstracted from different subreddits around six
terms. We then use novel measures to quantify the differences between the layers in all
of these multiplex networks to detect abnormalities in term usage over time and to quantify the differences between subreddit aggregated networks. We conclude that there is not
enough evidence to declare that any one term investigated demonstrated an abnormal rate
of usage over time. Additionally, none of the aggregated networks demonstrated differences between them indicating that the usage of the terms themselves is not different. We
hope to demonstrate the efficacy of this graph-based technique to potentially detect botnet
structures on social media.