Understanding the Rise of Twitter-Based Cyberbullying Due to COVID-19 through Comprehensive Statistical Evaluation

In Proceedings of the 54th Hawaii International Conference on System Sciences. 2021, Maui, Hawaii (Virtual).

11 Pages Posted: 19 Jan 2021

See all articles by Sayar Karmakar

Sayar Karmakar

University of Florida

Sanchari Das

University of Denver

Date Written: January 4, 2021

Abstract

The COVID-19 pandemic has created a challenging situation for everyone, sparking digital evolution due to stay-at-home restrictions to stop the spread. This has led to an uprise of digital presence, which many hypothesize has lead to a rise of cybersecurity attacks, including cyberbullying. To evaluate the significance of COVID-19 on cyberbullying reports, we collected 454, 046 of publicly available tweets from Twitter by using MongoDB and Python libraries from January 1st, 2020–June 7th, 2020. We performed statistical analyses on the collected sample set to understand the situation from a quantitative perspective. We extracted tweets related to 27 unique keywords specific to cyberbullying, including online bullying, cyberbullying, Twitter bullying, and others. Due to the time-series’ count nature, we propose a Bayesian estimation of this count data trends utilizing an autoregressive Poisson model. A simple change-point model fails to explain the subtle changes adequately. On the other hand, our Bayesian method clearly shows the upward trend beginning in mid-March, which is reportedly the time from which the stay-at-home orders were widespread globally. The pattern remains similar if we focus on one or more such keywords instead of the total count. We also provide a fine-grained lag based analysis of our model and contrast our methods with an alternative semi-Bayesian AR-ARCH model. Overall, such analysis shows somewhat conclusive evidence of the rise around the same time as COVID.

Keywords: COVID-19, pandemic, privacy, security, social media privacy, cyberbullying

Suggested Citation

Karmakar, Sayar and Das, Sanchari, Understanding the Rise of Twitter-Based Cyberbullying Due to COVID-19 through Comprehensive Statistical Evaluation (January 4, 2021). In Proceedings of the 54th Hawaii International Conference on System Sciences. 2021, Maui, Hawaii (Virtual)., Available at SSRN: https://ssrn.com/abstract=3768839 or http://dx.doi.org/10.2139/ssrn.3768839

Sayar Karmakar

University of Florida ( email )

PO Box 117165, 201 Stuzin Hall
Gainesville, FL 32610-0496
United States

Sanchari Das (Contact Author)

University of Denver ( email )

2201 S. Gaylord St
Denver, CO 80208-2685
United States

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