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.CY2024★ 2 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.SI2024★ 2 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.SI2023★ 12 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…