activity
20212026
most citedLearning future terrorist targets through temporal meta-graphs

37 citations · 158 across the 56 of their papers we have counts for

collaborators

58 papers

cs.AI2026

Beyond Effectiveness: A Multi-Criteria Framework for Comparing Practical Socio-Technical Interventions

Catherine King, Lynnette Hui Xian Ng, Kathleen M. Carley

Designers and policymakers in sociotechnical domains like content moderation, privacy interfaces, recommender systems and beyond, must choose among a growing menu of proposed inter…

cs.AI2026

Modeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) Model

Lynnette Hui Xian Ng, Kathleen M. Carley

Social dynamics encode the process in which individual network and discourse interactions aggregate into collective influence, narrative dominance and coordinate behavior. This pap…

cs.HC2026

User-Reported Misinformation Exposure Across Social Media Platforms

Catherine King, Lynnette Hui Xian Ng, Kathleen M. Carley

In this study, we surveyed users for their perception of misinformation exposure across social media platforms. Such perceived exposure is important because individuals' beliefs ab…

cs.SI2026

The Structural Influence of Low-Credibility Narratives During the COVID-19 Vaccine Rollout

Lynnette Hui Xian Ng, Wenqi Zhou, Kathleen M. Carley

This work examines the structural influence of low-credibility narratives and the comparative role of automated accounts (bots) versus human users on social media platforms. To mor…

cs.CY2026

FATe of Bots: Ethical Considerations of Social Bot Detection

Lynnette Hui Xian Ng, Ethan Pan, Michael Miller Yoder +1

A growing suite of research illustrates the negative impact of social media bots in amplifying harmful information with widespread social implications. Social bot detection algorit…

cs.AI2026★ 1 cited

Generative AI collective behavior needs an interactionist paradigm

Laura Ferrarotti, Gian Maria Campedelli, Roberto Dessì +7

In this article, we argue that understanding the collective behavior of agents based on large language models (LLMs) is an essential area of inquiry, with important implications in…

cs.CY2026

BotSim: Mitigating The Formation Of Conspiratorial Societies with Useful Bots

Lynnette Hui Xian Ng, Kathleen M. Carley

Societies can become a conspiratorial society where there is a majority of humans that believe, and therefore spread, conspiracy theories. Artificial intelligence gave rise to soci…

cs.CY2025

Local News Hijacking: A Review of International Instances

Christine Sowa Lepird, Kathleen M. Carley

In the rise of the digital era, it's easier than ever to create nefarious websites to spread misinformation. A more recent phenomenon in the United States has been the creation of…

cs.CY2025

Trends of Pink Slime Journalism Advertisement Expenditure and Spread on Facebook from 2019-2024

Christine Sowa Lepird, Lynnette Hui Xian Ng, Kathleen M. Carley

Pink slime journalism is a practice where news outlets publish low-quality or inflammatory partisan articles, claiming to be local news networks. This paper examines the spread of…

cs.SI2025

Extending the BEND Framework to Webgraphs

Evan M. Williams, Peter Carragher, Kyle Herdrich +2

Attempts to manipulate webgraphs can have many downstream impacts, but analysts lack shared quantitative metrics to characterize actions taken to manipulate information environment…

cs.CY2025

AuraSight: Generating Realistic Social Media Data

Lynnette Hui Xian Ng, Bianca N. Y. Kang, Kathleen M. Carley

This document details the narrative and technical design behind the process of generating a quasi-realistic set X data for a fictional multi-day pop culture episode (AuraSight). So…

cs.SI2025

Are LLM-Powered Social Media Bots Realistic?

Lynnette Hui Xian Ng, Kathleen M. Carley

As Large Language Models (LLMs) become more sophisticated, there is a possibility to harness LLMs to power social media bots. This work investigates the realism of generating LLM-P…

cs.CY2025

Public support for misinformation interventions depends on perceived fairness, effectiveness, and intrusiveness

Catherine King, Samantha C. Phillips, Kathleen M. Carley

The proliferation of misinformation on social media has concerning possible consequences, such as the degradation of democratic norms. While recent research on countering misinform…

cs.SI2025

Star Network Motifs on X during COVID-19

Lynnette Hui Xian Ng, Divyaansh Sinha, Kathleen M. Carley

Social network motifs are recurring patterns of small subgraphs that indicate fundamental patterns of social communication. In this work, we study the simple star network motifs th…

cs.SI2025

Appeal and Scope of Misinformation Spread by AI Agents and Humans

Lynnette Hui Xian Ng, Wenqi Zhou, Kathleen M. Carley

This work examines the influence of misinformation and the role of AI agents, called bots, on social network platforms. To quantify the impact of misinformation, it proposes two ne…

cs.CY2025

The Dual Personas of Social Media Bots

Lynnette Hui Xian Ng, Kathleen M. Carley

Social media bots are AI agents that participate in online conversations. Most studies focus on the general bot and the malicious nature of these agents. However, bots have many di…

cs.SI2025

Navigating Decentralized Online Social Networks: An Overview of Technical and Societal Challenges in Architectural Choices

Ujun Jeong, Lynnette Hui Xian Ng, Kathleen M. Carley +1

Decentralized online social networks have evolved from experimental stages to operating at unprecedented scale, with broader adoption and more active use than ever before. Platform…

cs.CY2025

What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics

Lynnette Hui Xian Ng, Kathleen M. Carley

Chatter on social media is 20% bots and 80% humans. Chatter by bots and humans is consistently different: bots tend to use linguistic cues that can be easily automated while humans…

cs.SI2025

Data Voids and Warning Banners on Google Search

Ronald E. Robertson, Evan M. Williams, Kathleen M. Carley +1

The content moderation systems used by social media sites are a topic of widespread interest and research, but less is known about the use of similar systems by web search engines.…

cs.CV2025

SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language Models

Peter Carragher, Nikitha Rao, Abhinand Jha +2

Vision language models (VLM) demonstrate sophisticated multimodal reasoning yet are prone to hallucination when confronted with knowledge conflicts, impeding their deployment in in…

cs.LG2025

Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models

Peter Carragher, Abhinand Jha, R Raghav +1

Large Language Models (LLMs) demonstrate remarkable capabilities in question answering (QA), but metrics for assessing their reliance on memorization versus retrieval remain underd…

cs.SI2025

Social Cyber Geographical Worldwide Inventory of Bots

Lynnette Hui Xian Ng, Kathleen M. Carley

Social Cyber Geography is the space in the digital cyber realm that is produced through social relations. Communication in the social media ecosystem happens not only because of hu…

cs.CY2024

Moral and emotional influences on attitude stability towards COVID-19 vaccines on social media

Samantha C. Phillips, Lynnette Hui Xian Ng, Wenqi Zhou +1

Effective public health messaging benefits from understanding antecedents to unstable attitudes that are more likely to be influenced. This work investigates the relationship betwe…

cs.CV2024

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

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. We evaluate the Vision Language Models (VLMs) on 5…