Thomson / Renshaw / Al-khateeb Social, Cultural, and Behavioral Modeling

18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-032-07715-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 246 Seiten

Reihe: Lecture Notes in Computer Science

This volume contains the proceedings of the 18th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2025, which took place in Pittsburgh, Pennsylvania, USA, in October 2025.

The 23 papers presented in this volume were carefully reviewed and selected from 56 submissions. They are divided into the following themes: Advances in Tools and Theory; Data-Driven Approaches.

Another focus of the conference is on understanding, predicting, and influencing human sociocultural behavior.

Zielgruppe

Research

Autoren/Hrsg.

Thomson, Robert

Renshaw, Scott

Al-khateeb, Samer

Burger, Annetta

Park, Patrick

Pyke, Aryn A

Inhaltsverzeichnis

.- Advancements in Tools and Theory.

.- Echoes of Automation: The Increasing Use of LLMs in Newsmaking.

.- Are LLM-Powered Social Media Bots Realistic?.

.- Measuring Trends in Identity Transition Using Social Media Bios: A
Methodology and Proof of Concept.

.- A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls
and Street Images.

.- Tied to Place: Geographic Origins of Tie Survival.

.- Sentiment and Social Signals in the Climate Crisis: A Survey on
Analyzing Social Media Responses to Extreme Weather Events.

.- Network Analysis of Attack Flows in Ransomware Groups and Campaigns.

.- Extending the BEND Framework to Webgraphs.

.- Analyzing Adversarial Strategies and Countermeasures for
Cyberbullying Detection.

.- Analyzing Conspiratorial Content Across Singapore-Based Telegram
Groups.

.- Analyzing Democratic Trust Through Symbolic Communication: A
Case Study of Taiwan’s Presidential Election.

.- Crisis Emotions at Scale: Uncovering Periodic Emotional Patterns of
Humans and Bots During the Early COVID-19 Pandemic.

.- Data-Driven Approaches.

.- Evaluating Visual and Behavioral Signals of Deception in Real-World
Contexts.

.- EVRAG: Enhanced Video Retrieval-Augmented Generation for
Democratized Social Computing.

.- Toward a More Unified ACT-R Cognitive Architecture.

.- A Framework for Comparing Vertex-Distribution Graphs: Insights for
Social and Conflict Studies.

.- Structure, Semantics, and Attraction: Analyzing Homophily in
Recommender Networks.

.- Toward Evaluating Network Confidence Intervals.

.- Star Network Motifs on X during COVID-19.

.- Trolling and Online Sadism Among Trump and Harris Voters.

.- Examining Generational Influence in Online Toxicity: ContextDependent Patterns in Health and Political Discours.

.- Promoting Social Corrections: A Media Literacy Intervention for
Misinformation on Social Media.

.- Can Typos Cause Harm? The Impact of Imperfect Input on LLM Safety.