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Social, Cultural, and Behavioral Modeling

17th International Conference, SBP-BRiMS 2024, Pittsburgh, PA, USA, September 18–20, 2024, Proceedings

  • Conference proceedings
  • © 2024

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Overview

Editors:
  1. Robert Thomson

    1. United States Military Academy, Army Cyber Institute, West Point, USA

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  2. Aravind Hariharan

    1. The University of the Cumberlands, Williamsburg, USA

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  3. Scott Renshaw

    1. Carnegie Mellon University, Pittsburgh, USA

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  4. Samer Al-khateeb

    1. Creighton University, Omaha, USA

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  5. Annetta Burger

    1. Oak Ridge National Laboratory, Oak Ridge, USA

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  6. Patrick Park

    1. Carnegie Mellon University, Pittsburg, USA

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  7. Aryn Pyke

    1. Army Cyber Institute, West Point, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14972)

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About this book

This book constitutes the proceedings of the 17th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2024, which was held in Pittsburgh, PA, USA, during September 18–20, 2024.

The 24 full papers presented in this volume were carefully reviewed and selected from 54 submissions. 

They are grouped into the following topics: advancements in tools and theory; data-driven approaches.

Keywords

Table of contents (24 papers)

  1. Front Matter

    Pages i-xv
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  2. Advancements in Tools and Theory

    1. Front Matter

      Pages 1-1
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    2. Explicit Stance Detection in the Political Domain: A New Concept and Associated Dataset

      • Alexander R. Caceres-Wright, Naveen Udhayasankar, Grant Bunn, Stef M. Shuster, Kenneth Joseph
      Pages 3-14
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    3. Multimodal LLMs Struggle with Basic Visual Network Analysis: A VNA Benchmark

      • Evan M. Williams, Kathleen M. Carley
      Pages 15-24
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    4. Tiny-BotBuster: Identifying Automated Political Coordination in Digital Campaigns

      • Lynnette Hui Xian Ng, Mihovil Bartulovic, Kathleen M. Carley
      Pages 25-34
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    5. SAARTHI: Smart Auto Assessment and Roadside Technical Help Interface

      • Chirayu Sanghvi, Alina Vereshchaka
      Pages 35-46
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    6. Comparing Similarity and Homophily-Based Cognitive Models of Influence and Conformity

      • Robert Thomson, Christian Lebiere
      Pages 47-57
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    7. Developing Epidemiological Models with Differentiated Infected Intensity

      • Niloofar Yousefi, Nitin Agarwal, Emmanuel Addai
      Pages 58-68
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    8. VSM-ACT-R: Toward Using Cognitive Architecture For Manufacturing Solutions

      • Siyu Wu, Alessandro Oltramari, Frank E. Ritter
      Pages 69-79
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    9. User-Donated Screenshots Analysis: Feasibility of a New Approach to Collect Objective Social Media App Usage in Adolescents

      • Yuning Liu, Geoff Klassen, Jenna Mee, Justin Pointer, Marvi Baloch, Laura Marciano et al.
      Pages 80-89
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    10. Extending VRAT: From 3D Eye Tracking Visualization to Enabling ACT-R to Interact with Virtual Reality Environments

      • Amir Bagherzadeh, Farnaz Tehranchi
      Pages 90-99
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    11. A Tool for Distributed Collaborative Causal Discovery

      • Alexey Tregubov, Jeremy Abramson, Stephen Schwab, Jim Blythe
      Pages 100-109
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    12. A Cognitive Slack Approach to Organizational Design

      • David Mortimore, Raymond R. Buettner, Jr., Kathryn J. Aten
      Pages 110-120
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  3. Data-Driven Approaches

    1. Front Matter

      Pages 121-121
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    2. Moderating Democratic Discourse with LLMs

      • Aaditya Bhatia, Gita Sukthankar
      Pages 123-132
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    3. Deciphering Emotional and Linguistic Patterns in Reddit Suicidal Discourse

      • Salim Sazzed
      Pages 133-143
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    4. Extractive Question Answering for Spanish and Arabic Political Text

      • Sultan Alsarra, Parker Whitehead, Naif Alatrush, Luay Abdeljaber, Latifur Khan, Javier Osorio et al.
      Pages 144-153
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    5. Accountability in Search Engine Manipulation: A Case Study of the Iranian News Ecosystem

      • Peter Carragher, Kathleen M. Carley
      Pages 154-163
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    6. Analyzing and Predicting Meetup Mobs Outcome Via Statistical Analysis and Deep Learning

      • Samer Al-khateeb, Jack Burright, Steven L. Fernandes, Nitin Agarwal
      Pages 164-173
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    7. Drivers of True and False Information Spread: A Causal Study of User Sharing Behaviors

      • Ling Sun, Kathleen M. Carley, Yuan Rao
      Pages 174-183
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Other volumes

  1. Social, Cultural, and Behavioral Modeling

Editors and Affiliations

  • United States Military Academy, Army Cyber Institute, West Point, USA

    Robert Thomson

  • The University of the Cumberlands, Williamsburg, USA

    Aravind Hariharan

  • Carnegie Mellon University, Pittsburgh, USA

    Scott Renshaw

  • Creighton University, Omaha, USA

    Samer Al-khateeb

  • Oak Ridge National Laboratory, Oak Ridge, USA

    Annetta Burger

  • Carnegie Mellon University, Pittsburg, USA

    Patrick Park

  • Army Cyber Institute, West Point, USA

    Aryn Pyke

Bibliographic Information

  • Book Title: Social, Cultural, and Behavioral Modeling

  • Book Subtitle: 17th International Conference, SBP-BRiMS 2024, Pittsburgh, PA, USA, September 18–20, 2024, Proceedings

  • Editors: Robert Thomson, Aravind Hariharan, Scott Renshaw, Samer Al-khateeb, Annetta Burger, Patrick Park, Aryn Pyke

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-72241-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-72240-0Published: 14 September 2024

  • eBook ISBN: 978-3-031-72241-7Published: 13 September 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 258

  • Number of Illustrations: 4 b/w illustrations, 76 illustrations in colour

  • Topics: Computer Applications, Computer Communication Networks, Machine Learning, Database Management

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