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20182024
most citedMultiNet: A Scalable Multilayer Network Embedding Framework

13 citations · 23 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.SI2023

Modeling Political Orientation of Social Media Posts: An Extended Analysis

Sadia Kamal, Brenner Little, Jade Gullic +3

Developing machine learning models to characterize political polarization on online social media presents significant challenges. These challenges mainly stem from various factors…

cs.SI2023

Quantitative Analysis of Forecasting Models:In the Aspect of Online Political Bias

Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi

Understanding and mitigating political bias in online social media platforms are crucial tasks to combat misinformation and echo chamber effects. However, characterizing political…

cs.SI2020

Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models

Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi +1

The ubiquity of social media has transformed online interactions among individuals. Despite positive effects, it has also allowed anti-social elements to unite in alternative socia…

cs.SI2019★ 3 cited

Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations

Arunkumar Bagavathi, Pedram Bashiri, Shannon Reid +2

Online social media, periodically serves as a platform for cascading polarizing topics of conversation. The inherent community structure present in online social networks (homophil…

cs.SI2018★ 13 cited

MultiNet: A Scalable Multilayer Network Embedding Framework

Arunkumar Bagavathi, Siddharth Krishnan

Representation learning of networks has witnessed significant progress in recent times. Such representations have been effectively used for classic network-based machine learning t…