Don't be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19
Bibhas Sharma, Ishan Karunanayake, Rahat Masood, Muhammad Ikram

TL;DR
This study analyzes how COVID-19 lockdowns affected social media security and privacy, revealing increased personal data sharing, suspicious domain sharing, and evolving malicious strategies during different pandemic phases.
Contribution
It provides a large-scale analysis of COVID-19 related tweets to understand privacy risks and malicious activity patterns during pandemic lockdowns.
Findings
Increased sharing of personal information during pandemic tweets.
Suspicious domains surged during lockdown periods.
Malicious strategies adapted to pandemic phases.
Abstract
There has been a huge spike in the usage of social media platforms during the COVID-19 lockdowns. These lockdown periods have resulted in a set of new cybercrimes, thereby allowing attackers to victimise social media users with a range of threats. This paper performs a large-scale study to investigate the impact of a pandemic and the lockdown periods on the security and privacy of social media users. We analyse 10.6 Million COVID-related tweets from 533 days of data crawling and investigate users' security and privacy behaviour in three different periods (i.e., before, during, and after the lockdown). Our study shows that users unintentionally share more personal identifiable information when writing about the pandemic situation (e.g., sharing nearby coronavirus testing locations) in their tweets. The privacy risk reaches 100% if a user posts three or more sensitive tweets about the…
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Taxonomy
TopicsMisinformation and Its Impacts · Hate Speech and Cyberbullying Detection · Social Media and Politics
