activity
20142026
most citedExamining the consumption of radical content on YouTube

172 citations · 644 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.SI2026

How You Ask Shapes What You Get: Auditing Breast-Cancer Misinformation in TikTok Search

Pooriya Jamie, Homa Hosseinmardi, Rezvaneh Rezapour +3

Millions of people use TikTok to seek health information, yet little is known about how users' search queries shape exposure to health misinformation. Whereas prior algorithm audit…

cs.SI2026

Seeking Help, Facing Harm: Auditing TikTok's Mental Health Recommendations

Pooriya Jamie, Amir Ghasemian, Homa Hosseinmardi

Recommender systems on social media increasingly mediate how users encounter mental health content, yet it remains unclear whether they distinguish help-seeking from distress expre…

cs.SI2023★ 2 cited

Causally estimating the effect of YouTube's recommender system using counterfactual bots

Homa Hosseinmardi, Amir Ghasemian, Miguel Rivera-Lanas +3

In recent years, critics of online platforms have raised concerns about the ability of recommendation algorithms to amplify problematic content, with potentially radicalizing conse…

cs.SI2020★ 172 cited

Examining the consumption of radical content on YouTube

Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset +3

Although it is under-studied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world. Recently, Y…

cs.SI2018★ 27 cited

Capturing Edge Attributes via Network Embedding

Palash Goyal, Homa Hosseinmardi, Emilio Ferrara +1

Network embedding, which aims to learn low-dimensional representations of nodes, has been used for various graph related tasks including visualization, link prediction and node cla…

cs.SI2016★ 5 cited

Investigating Factors Influencing the Latency of Cyberbullying Detection

Rahat Ibn Rafiq, Homa Hosseinmardi, Richard Han +2

Cyberbullying in online social networks has become a critical problem, especially among teenagers who are social networks' prolific users. As a result, researchers have focused on…

cs.SI2015★ 93 cited

Detection of Cyberbullying Incidents on the Instagram Social Network

Homa Hosseinmardi, Sabrina Arredondo Mattson, Rahat Ibn Rafiq +3

Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to investigate fundamentally new approaches to understand and auto…

cs.SI2014★ 18 cited

A Comparison of Common Users across Instagram and Ask.fm to Better Understand Cyberbullying

Homa Hosseinmardi, Rahat Ibn Rafiq, Shaosong Li +4

This paper examines users who are common to two popular online social networks, Instagram and Ask.fm, that are often used for cyberbullying. An analysis of the negativity and posit…

cs.SI2014★ 1 cited

Towards Understanding Cyberbullying Behavior in a Semi-Anonymous Social Network

Homa Hosseinmardi, Amir Ghasemianlangroodi, Richard Han +2

Cyberbullying has emerged as an important and growing social problem, wherein people use online social networks and mobile phones to bully victims with offensive text, images, audi…