Social, Cultural, and Behavioral Modeling

17th International Conference, SBP-BRiMS 2024, Pittsburgh, PA, USA, September 18¿20, 2024, Proceedings
Herausgegeben:Thomson, Robert; Hariharan, Aravind; Renshaw, Scott; Al-khateeb, Samer; Burger, Annetta; Park, Patrick; Pyke, Aryn

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 14972
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-72240-0
• 2024
• Seitenzahl: 276
• Erscheinungstermin: 14. September 2024
• Englisch
• Abmessung: 235mm x 155mm x 16mm
• Gewicht: 423g
• ISBN-13: 9783031722400
• ISBN-10: 303172240X
• Artikelnr.: 71440769

Inhaltsangabe

.- Advancements in Tools and Theory.

.- Explicit Stance Detection in the Political Domain: A New Concept and Associated Dataset for Model Development.

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

.- Tiny-BotBuster: Identifying Automated Political Coordination in Digital Campaigns.

.- SAARTHI: Smart Auto Assessment and Roadside Technical Help Interface.

.- Comparing Similarity and Homophily-Based Cognitive Models of Influence and Conformity.

.- Developing Epidemiological Models with Differentiated Infected Intensity.

.- VSM-ACT-R: Toward Using Cognitive Architecture For Manufacturing Solutions.

.- User-donated screenshots analysis: feasibility of a new approach to collect objective social media app usage in adolescents.

.- Extending VRAT: from 3D eye tracking visualization to enabling ACT-R to interact with virtual reality environments.

.- A Tool for Distributed Collaborative Causal Discovery.

.- A Cognitive Slack Approach to Organizational Design.

.- Data-Driven Approaches.

.- Moderating Democratic Discourse with LLMs.

.- Deciphering Emotional and Linguistic Patterns in Reddit Suicidal Discourse.

.- Extractive Question Answering for Spanish and Arabic Political Text.

.- Accountability in Search Engine Manipulation: A Case Study of the Iranian News Ecosystem.

.- Analyzing and Predicting Meetup Mobs Outcome Via Statistical Analysis and Deep Learning.

.- Drivers of True and False Information Spread: A Causal Study of User Sharing Behaviors.

.- Examining Socio-Economic Isolation in Urban Spaces.

.- Ablation Studies in Protest Networks: The Role of Influential Agents in Shaping Protests.

.- Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics.

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

.- The Life of a Tie: Social Origins of Network Diversity.

.- Integrated Content-Graph Analysis to Characterize Social Media Conversations During Disaster Evacuations.

.- Assessing the Sociocultural Alignment of Large Language Models: An Empirical Study of Chinese-Speaking Populations.