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Home > Computing and Information Technology > Applied computing > Computer applications in the social and behavioural sciences > Social, Cultural, and Behavioral Modeling: 18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings(16127 Lecture Notes in Computer Science)
Social, Cultural, and Behavioral Modeling: 18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings(16127 Lecture Notes in Computer Science)

Social, Cultural, and Behavioral Modeling: 18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings(16127 Lecture Notes in Computer Science)


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About the Book

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.

Table of Contents:
.- 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.


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Product Details
  • ISBN-13: 9783032077141
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 246
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 16127 Lecture Notes in Computer Science
  • Width: 155 mm
  • ISBN-10: 3032077141
  • Publisher Date: 10 Oct 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
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  • Sub Title: 18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings


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Social, Cultural, and Behavioral Modeling: 18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings(16127 Lecture Notes in Computer Science)
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Social, Cultural, and Behavioral Modeling: 18th International Conference, SBP-BRiMS 2025, Pittsburgh, PA, USA, October 14–17, 2025, Proceedings(16127 Lecture Notes in Computer Science)
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