research
∙
07/17/2023
Simulation of Stance Perturbations
In this work, we analyze the circumstances under which social influence ...
share
research
∙
06/27/2023
Identity Construction in a Misogynist Incels Forum
Online communities of involuntary celibates (incels) are a prominent sou...
research
∙
06/27/2023
A Weakly Supervised Classifier and Dataset of White Supremacist Language
We present a dataset and classifier for detecting the language of white ...
research
∙
10/19/2022
How Hate Speech Varies by Target Identity: A Computational Analysis
This paper investigates how hate speech varies in systematic ways accord...
research
∙
07/16/2022
From Curious Hashtags to Polarized Effect: Profiling Coordinated Actions in Indonesian Twitter Discourse
Coordinated campaigns in the digital realm have become an increasingly i...
research
∙
12/15/2021
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations
Capturing dynamics of operational similarity among terrorist groups is c...
research
∙
11/12/2021
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation
Real-time location inference of social media users is the fundamental of...
research
∙
10/10/2021
Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality
We introduce a novel method for analyzing person-to-person content influ...
research
∙
09/02/2021
Coordinating Narratives and the Capitol Riots on Parler
Coordinated disinformation campaigns are used to influence social media ...
research
∙
07/19/2021
Analysis of External Content in the Vaccination Discussion on Twitter
The spread of coronavirus and anti-vaccine conspiracies online hindered ...
research
∙
07/07/2021
Climate Change Conspiracy Theories on Social Media
One of the critical emerging challenges in climate change communication ...
research
∙
04/21/2021
Learning future terrorist targets through temporal meta-graphs
In the last 20 years, terrorism has led to hundreds of thousands of deat...
research
∙
04/05/2021
Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests
Research across different disciplines has documented the expanding polar...
research
∙
04/02/2021
The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories
The 2020 coronavirus pandemic has heightened the need to flag coronaviru...
research
∙
03/12/2021
A Weakly Supervised Approach for Classifying Stance in Twitter Replies
Conversations on social media (SM) are increasingly being used to invest...
research
∙
08/23/2020
Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic
The purpose of this case study is to leverage the concepts and tools pre...
research
∙
08/03/2020
Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering
The COVID-19 pandemic has produced a flurry of online activity on social...
research
∙
08/03/2020
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
From conspiracy theories to fake cures and fake treatments, COVID-19 has...
research
∙
07/15/2020
Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
Social bots have emerged over the last decade, initially creating a nuis...
research
∙
06/08/2020
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities
Public health practitioners and policy makers grapple with the challenge...
research
∙
06/01/2020
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
Automated ways to extract stance (denying vs. supporting opinions) from ...
research
∙
05/20/2020
A Computational Analysis of Polarization on Indian and Pakistani Social Media
Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwa...
research
∙
03/03/2020
Discover Your Social Identity from What You Tweet: a Content Based Approach
An identity denotes the role an individual or a group plays in highly di...
research
∙
01/10/2020
A Complex Networks Approach to Find Latent Clusters of Terrorist Groups
Given the extreme heterogeneity of actors and groups participating in te...
research
∙
10/28/2019
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
Accurate estimation of user location is important for many online servic...
research
∙
10/02/2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection
Neural networks are increasingly used for graph classification in a vari...
research
∙
09/13/2019
Location Order Recovery in Trails with Low Temporal Resolution
Researchers who study object movement problems related to topics like tr...
research
∙
09/13/2019
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
We introduce a novel parameterized convolutional neural network for aspe...
research
∙
09/05/2019
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Aspect level sentiment classification aims to identify the sentiment exp...
research
∙
08/28/2019
A Large-Scale Empirical Study of Geotagging Behavior on Twitter
Geotagging on social media has become an important proxy for understandi...
research
∙
04/17/2019
Inductive Graph Representation Learning with Recurrent Graph Neural Networks
In this paper, we study the problem of node representation learning with...
research
∙
12/14/2018
Its All in a Name: Detecting and Labeling Bots by Their Name
Automated social media bots have existed almost as long as the social me...
research
∙
04/18/2018
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
Aspect-level sentiment classification aims to identify the sentiment exp...
research
∙
02/23/2017