Search Results for author: Kathleen M. Carley

Found 29 papers, 13 papers with code

Dredge Word, Social Media, and Webgraph Networks for Unreliable Website Classification and Identification

no code implementations17 Jun 2024 Evan M. Williams, Peter Carragher, Kathleen M. Carley

In an attempt to mimic the complex paths through which unreliable content spreads between search engines and social media, we explore the impact of incorporating both webgraph and large-scale social media contexts into website credibility classification and discovery systems.

Graph Neural Network

Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark

1 code implementation10 May 2024 Evan M. Williams, Kathleen M. Carley

We evaluate the zero-shot ability of GPT-4 and LLaVa to perform simple Visual Network Analysis (VNA) tasks on small-scale graphs.

Misinformation Resilient Search Rankings with Webgraph-based Interventions

1 code implementation13 Apr 2024 Peter Carragher, Evan M. Williams, Kathleen M. Carley

The proliferation of unreliable news domains on the internet has had wide-reaching negative impacts on society.

Fairness Misinformation

Identity Construction in a Misogynist Incels Forum

no code implementations27 Jun 2023 Michael Miller Yoder, Chloe Perry, David West Brown, Kathleen M. Carley, Meredith L. Pruden

Online communities of involuntary celibates (incels) are a prominent source of misogynist hate speech.

Hate Speech Detection

A Weakly Supervised Classifier and Dataset of White Supremacist Language

1 code implementation27 Jun 2023 Michael Miller Yoder, Ahmad Diab, David West Brown, Kathleen M. Carley

We present a dataset and classifier for detecting the language of white supremacist extremism, a growing issue in online hate speech.

How Hate Speech Varies by Target Identity: A Computational Analysis

1 code implementation19 Oct 2022 Michael Miller Yoder, Lynnette Hui Xian Ng, David West Brown, Kathleen M. Carley

We also find that words associated with hate speech targeting specific identities often relate to stereotypes, histories of oppression, current social movements, and other social contexts specific to identities.

Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations

1 code implementation15 Dec 2021 Gian Maria Campedelli, Iain J. Cruickshank, Kathleen M. Carley

Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring.

Diversity

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation

1 code implementation12 Nov 2021 Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang

Real-time location inference of social media users is the fundamental of some spatial applications such as localized search and event detection.

Event Detection

Coordinating Narratives and the Capitol Riots on Parler

1 code implementation2 Sep 2021 Lynnette Hui Xian Ng, Iain Cruickshank, Kathleen M. Carley

Coordinated disinformation campaigns are used to influence social media users, potentially leading to offline violence.

text similarity

Learning future terrorist targets through temporal meta-graphs

1 code implementation21 Apr 2021 Gian Maria Campedelli, Mihovil Bartulovic, Kathleen M. Carley

Using real-world data on attacks occurred in Afghanistan and Iraq from 2001 to 2018, we propose the use of temporal meta-graphs and deep learning to forecast future terrorist targets.

Humanitarian Temporal Sequences +2

The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories

no code implementations2 Apr 2021 Lynnette Hui Xian Ng, Kathleen M. Carley

The 2020 coronavirus pandemic has heightened the need to flag coronavirus-related misinformation, and fact-checking groups have taken to verifying misinformation on the Internet.

Fact Checking Misinformation +2

A Weakly Supervised Approach for Classifying Stance in Twitter Replies

no code implementations12 Mar 2021 Sumeet Kumar, Ramon Villa Cox, Matthew Babcock, Kathleen M. Carley

Compared to supervised learning, our method improves the mean F1-macro by 8\% on the hand-labeled dataset without using any hand-labeled examples in the training set.

Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset

1 code implementation3 Aug 2020 Shahan Ali Memon, Kathleen M. Carley

Finally, our sociolinguistic analyses suggest that COVID-19 informed users tend to use more narratives than misinformed users.

Misinformation

Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search

no code implementations15 Jul 2020 David M. Beskow, Kathleen M. Carley

This social threat has spawned a bot detection algorithms race in which detection algorithms evolve in an attempt to keep up with increasingly sophisticated bot accounts.

Characterizing Sociolinguistic Variation in the Competing Vaccination Communities

no code implementations8 Jun 2020 Shahan Ali Memon, Aman Tyagi, David R. Mortensen, Kathleen M. Carley

For an effective health communication, it is imperative to focus on "preference-based framing" where the preferences of the target sub-community are taken into consideration.

Misinformation

Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak

1 code implementation7 Jun 2020 Binxuan Huang, Kathleen M. Carley

Tweets mentioning "fake news" URLs and disinformation story-lines are also more likely to be spread by regular users.

Social and Information Networks

Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations

1 code implementation1 Jun 2020 Ramon Villa-Cox, Sumeet Kumar, Matthew Babcock, Kathleen M. Carley

Moreover, the existing datasets do not distinguish between the different types of conversations on social media (e. g., replying vs. quoting on Twitter).

Opinion Mining

A Computational Analysis of Polarization on Indian and Pakistani Social Media

1 code implementation20 May 2020 Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley

Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwama, Kashmir followed by retaliatory airstrikes led to rising tensions between India and Pakistan, two nuclear-armed countries.

Discover Your Social Identity from What You Tweet: a Content Based Approach

no code implementations3 Mar 2020 Binxuan Huang, Kathleen M. Carley

We further propose a transfer learning scheme that improves our model's performance by a large margin.

Transfer Learning

A Hierarchical Location Prediction Neural Network for Twitter User Geolocation

no code implementations IJCNLP 2019 Binxuan Huang, Kathleen M. Carley

In this paper, we propose a hierarchical location prediction neural network for Twitter user geolocation.

Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection

no code implementations2 Oct 2019 Thomas Magelinski, David Beskow, Kathleen M. Carley

Social media is a critical application area in this space, however the characteristics of social media graphs differ from those seen in most popular benchmark datasets.

General Classification Graph Classification

On the Evolution of Spreading Processes in Complex Networks

no code implementations10 Oct 2018 Rashad Eletreby, Yong Zhuang, Kathleen M. Carley, Osman Yağan

In this paper, we investigate the evolution of spreading processes on complex networks with the aim of i) revealing the role of evolution on the threshold, probability, and final size of epidemics; and ii) exploring the interplay between the structural properties of the network and the dynamics of evolution.

Physics and Society Social and Information Networks

A Probabilistic Framework for Location Inference from Social Media

no code implementations23 Feb 2017 Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley

In this paper, we formalize the problem of inferring location from social media into a semi-supervised factor graph model (SSFGM).

Management

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