activity
20222024
most citedA longitudinal study of the top 1% toxic Twitter profiles

12 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2024

SenTopX: Benchmark for User Sentiment on Various Topics

Hina Qayyum, Muhammad Ikram, Benjamin Zhao +3

Toxic sentiment analysis on Twitter (X) often focuses on specific topics and events such as politics and elections. Datasets of toxic users in such research are typically gathered…

cs.CY20242 cited

On mission Twitter Profiles: A Study of Selective Toxic Behavior

Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao +3

The argument for persistent social media influence campaigns, often funded by malicious entities, is gaining traction. These entities utilize instrumented profiles to disseminate d…

cs.SI20242 cited

Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users

Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao +3

In the pursuit of bolstering user safety, social media platforms deploy active moderation strategies, including content removal and user suspension. These measures target users eng…

cs.SI202312 cited

A longitudinal study of the top 1% toxic Twitter profiles

Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3

Toxicity is endemic to online social networks including Twitter. It follows a Pareto like distribution where most of the toxicity is generated by a very small number of profiles an…

cs.SI2022

A deep dive into the consistently toxic 1% of Twitter

Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3

Misbehavior in online social networks (OSN) is an ever-growing phenomenon. The research to date tends to focus on the deployment of machine learning to identify and classify types…