Social, Cultural, and Behavioral Modeling: 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20–22, 2023, Proceedings (Lecture Notes in Computer Science, 14161)

This book constitutes the proceedings of the 16th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2023, which was held in Pittsburgh, PA, USA in September 2023. The 31 full papers presented in this volume were carefully reviewed and selected from 73 submissions. The papers were organized in topical sections as follows: Detecting malign influence; human behavior modeling; and social-cyber behavior modeling. Preface Organization Contents Detecting Malign Influence Misogyny, Women in Power, and Patterns of Social Media Harassment 1 Introduction 2 Related Work 3 Methods 3.1 Datasets 3.2 Slur Detection 4 Results 5 Limitations 6 Discussion and Future Work References Stereotype Content Dictionary: A Semantic Space of 3 Million Words and Phrases Using Google News Word2Vec Embeddings 1 Introduction 1.1 Background 2 Related Work 2.1 Traditional Measurement of Stereotype Content 2.2 Computational Measurement of Stereotype Content 3 Datasets and Methods 3.1 Determining Antonym Pairs from Stereotype Dictionaries 3.2 Identifying Stereotype Dimensions in Google News Embeddings 3.3 Projecting Word Embeddings on Stereotype Semantic Space 3.4 Model Validation 4 Result 4.1 Validation of Computational QT Model 4.2 Comparison Between QT Model and Fraser Model 5 Discussion and Future Work References Social Cybersecurity Analysis of the Telegram Information Environment During the 2022 Invasion of Ukraine 1 Introduction 2 Data 2.1 Telegram Overview 2.2 Collection 2.3 Data Overview 3 Methodology 3.1 Stance Detection 3.2 BEND Analysis 4 Results and Discussion 4.1 Network Overview 4.2 Stance Analysis 4.3 BEND Analysis of Maneuvers 5 Limitations and Future Work 6 Conclusion References The Dynamics of Political Narratives During the Russian Invasion of Ukraine 1 Introduction 2 Background and Related Work 3 Data 4 Methodology 5 Results 5.1 RQ1: Chinese Political Narratives Around RU 5.2 RQ2: Contribution of Camps to RU-Related Narrative Evolution 6 Discussion and Future Work References Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit 1 Introduction 2 Related Work 3 Methods 3.1 Data 3.2 Emotion Detection 4 Results 4.1 RQ1: Emotions in Controversial Comments 4.2 RQ2: Controversial Comments Change Emotions in Discussions 4.3 RQ3: Predicting Controversy from Emotions 5 Discussion and Conclusion References Building a Healthier Feed: Private Location Trace Intersection Driven Feed Recommendations 1 Introduction 2 A Social Recommendation Algorithm 2.1 An Extendable Paradigm 2.2 A View Towards Web3 3 Validation and Demonstration 3.1 Reference Architecture 4 Discussion 4.1 Social Rankings Gamability 4.2 Sharing Incentives 4.3 Echo-Chambers 5 Conclusion References Classifying Policy Issue Frame Bias in Philippine Online News 1 Introduction 2 Methodology 2.1 Selection of Media Frame Corpus (MFC) Training Dataset 2.2 Selection of the Philippine Online News Dataset 2.3 Developing Classification Models 2.4 Classification of Policy Issue Frames on Philippine Dataset Using BERT 2.5 Testing the Difference of Policy Frames Among Media Outlet 3 Results and Discussion 3.1 Frame Classification on the Aggregated Philippine Dataset 3.2 Comparison of Frame Classification per Media Outlet 3.3 Comparison of Frame Classification per Media Outlet on Unambiguous Topics 3.4 Comparison of Frame Classification per Media Outlet on Ambiguous Topic 4 Conclusion References Dismantling Hate: Understanding Hate Speech Trends Against NBA Athletes 1 Introduction 2 Method 2.1 Hate Speech Detection 3 Results 4 Discussions and Conclusions References Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions 1 Introduction 2 Related Work 3 Methods 3.1 Data 3.2 Comment Classifications 3.3 Modeling Reddit Discussions 3.4 Measuring Feedback Loops with Mutual Granger Causality 4 Results 4.1 Evolution of Harmful Speech 4.2 Feedback Loops 4.3 Feedback Loops and Harmful Speech 5 Discussion and Conclusion References Chirping Diplomacy: Analyzing Chinese State Social-Cyber Maneuvers on Twitter 1 Introduction 2 Related Work 3 Methods 3.1 Data Collection 3.2 State-Affiliated Labels 3.3 Network Analysis with ORA 3.4 BEND Maneuvers with ORA 4 Results 4.1 Key Chinese State-Affiliated Actors 4.2 BEND Maneuvers Targeted at State Officials 5 Discussion References Vulnerability Dictionary: Language Use During Times of Crisis and Uncertainty 1 Introduction 2 Background 2.1 Psycholinguistic Dictionaries 2.2 Existing Vulnerability Measures 3 Methods 3.1 Identify Relevant Lexicons 3.2 Curate and Evaluate Word Selections for Each Lexicon 4 Result 4.1 Construct Validity and Cohen's Kappa 4.2 Accuracy and Generalizability 4.3 Discriminant Validity 5 Conclusion 6 Discussion and Limitation References Tracking China's Cross-Strait Bot Networks Against Taiwan 1 Introduction 2 Methods 2.1 Data 2.2 Tracking Bot Networks 3 Results 3.1 Communication Structure Network Analysis 3.2 Account Activity Analysis 3.3 URL Analysis 3.4 Bot Communities 3.5 Targeted Audiences 4 Conclusion References Assessing Media’s Representation of Frustration Towards Venezuelan Migrants in Colombia 1 Introduction 1.1 Host Communities’ Frustration Towards Migrants 1.2 Background Context of Migration Between Colombia and Venezuela 2 Methodology 2.1 Newspaper Data and Qualitative Coding 2.2 Venezuelan Migration Data 2.3 Research Hypotheses 3 Statistical Path Modeling 4 Discussion 5 Conclusion References Human Behavior Modeling Agent-Based Moral Interaction Simulations in Imbalanced Polarized Settings 1 Intro 2 Related Works 3 Methods 3.1 Assumptions 3.2 Agents 3.3 Emotion 3.4 Model 4 Results 5 Discussion and Limitations 6 Conclusion References Investigating the Use of Belief-Bias to Measure Acceptance of False Information 1 Background 1.1 Belief-Bias 1.2 Minimal Explanation Paradigm 2 Present Study 2.1 Methods 2.2 Results 2.3 Discussion References Simulation of Stance Perturbations 1 Background 2 Simulation Objectives 2.1 Research Questions 2.2 Contributions 3 Model Definition 3.1 Influence-Stance Tradeoff 3.2 Confederate Selection 3.3 Perturbation Strategy 4 Methodology 4.1 Virtual Experiments Setup 5 Results and Discussion 6 Validation 7 Limitations and Future Work 8 Conclusion References Integrating Human Factors into Agent-Based Simulation for Dynamic Phishing Susceptibility 1 Introduction 2 Related Works 3 Dynamic Phishing Susceptibility Model 3.1 Cybersecurity Education and Forgetting Curve 4 Virtual Experiment 5 Discussion and Conclusion References Designing Organizations of Human and Non-Human Knowledge Workers 1 Introduction 1.1 Knowledge Work 1.2 Human Knowledge Workers 1.3 Non-Human Knowledge Workers 2 Organizational Technologies 3 An Example 3.1 POW-ER 3.2 An Accelerated Launch 3.3 Comparative Trials 3.4 Results 4 Discussion 5 Conclusion References Modeling Human Actions in the Cart-Pole Game Using Cognitive and Deep Reinforcement Learning Approach 1 Introduction 2 Background 3 Methodology 3.1 Game Design 3.2 Participants 3.3 Procedure 4 Results 5 Discussion and Conclusion References CCTFv1: Computational Modeling of Cyber Team Formation Strategies 1 Introduction 2 Implementation Methodology 2.1 Study Design 2.2 Study Parameters 3 Results and Analysis 3.1 Sample Results 3.2 Hypothesis Testing 4 Conclusion References Simulating Transport Mode Choices in Developing Countries 1 Introduction 2 Related Works 3 Simulation Model 3.1 Decision-Making Module 3.2 Social Influence 3.3 Validation 4 Virtual Experiment 5 Discussion and Future Work 6 Conclusions References User Identity Modeling to Characterize Communication Patterns of Domestic Extremists Behavior on Social Media 1 Introduction 2 Literature Review 2.1 Unsupervised Learning for Identifying Extremists Users 2.2 Supervised Learning for Detecting Hateful Rhetoric 3 Methodology 3.1 Data Collection and Processing 3.2 Theory-Driven Attributes of User Behavior 3.3 Identifying Behavior Classes via Unsupervised Learning 4 Results and Discussion 4.1 Cluster Performance Evaluation 4.2 Visualization of User Behavior Categories 4.3 Cluster Topical Analysis 4.4 Moral Values Analysis 4.5 Psychometric Analysis 5 Conclusion References Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks 1 Introduction 2 Empirical Background for this Work 3 Social Preference Formation 3.1 Preference Inference per Iteration 3.2 Memory Growth and Memory Decay Through Iterations 4 Demonstrations and Results 5 Conclusion References A Bayesian Approach of Predicting the Movement of Internally Displaced Persons 1 Introduction 2 Problem Description 2.1 Background 2.2 Data 2.3 Problem Formulation 3 Model and Bayesian Technique 3.1 Model 3.2 Approximate Bayesian Computation (ABC) 4 Results 4.1 Setup 4.2 Weights Estimation 4.3 Prediction of IDPs at Potential Destinations Other than Camps 5 Discussion References Social-Cyber Behavior Modeling Few-Shot Information Operation Detection Using Active Learning Approach 1 Introduction 2 Related Work 2.1 Characterizing Information Operations 2.2 Troll Detection 3 Data and Methods 3.1 Troll and Control Data 3.2 Active Learning Strategies 3.3 Prediction Tasks 3.4 Modeling and Evaluation 4 Results 4.1 Classification Performance 4.2 Query Size 4.3 Important Features 5 Discussion References Dynamic Modeling and Forecasting of Epidemics Incorporating Age and Vaccination Status 1 Introduction 2 Background 2.1 SIRD Epidemiological Model 2.2 Related Works 3 Methodology 3.1 SIHRDa,v Epidemiological Model 3.2 Model Parameter Estimation 4 Experiments 4.1 Dataset Description 4.2 Model Fit and Forecasts 4.3 Scenario Assessment 5 Conclusion References Inductive Linear Probing for Few-Shot Node Classification 1 Introduction 2 Related Work 2.1 Few-Shot Learning 2.2 Meta Learning 3 Preliminaries 3.1 Problem Statement 3.2 Episodic Meta-Learning for FSNC 3.3 Proposed Baseline 4 Empirical Evaluation 4.1 Experimental Settings 4.2 Evaluation Protocol 4.3 Comparison 4.4 Further Analysis 5 Conclusion References Regression Chain Model for Predicting Epidemic Variables 1 Introduction 1.1 Background and Motivation 1.2 Research Contributions 2 Methodology 2.1 Network Models and Topological Properties 2.2 Epidemic Spread on Networks 2.3 Regression Chain Model 2.4 Dataset Construction 3 Experiments and Results 3.1 Influence of Network Properties on Epidemic Variables 3.2 Model Validation 3.3 Sensitivity Analysis 3.4 Discussion 4 Conclusion References Physical Distancing and Mask Wearing Behavior Dataset Generator from CCTV Footages Using YOLOv8 1 Background 2 Methodology 2.1 Collecting Data from CCTV Footages 2.2 First Stage: Object Tracking of All Individuals in the Frame 2.3 Second Stage: Mask Detection 2.4 Combining the Two Stages and Generating the Behavior Dataset 3 Results and Discussion 4 Conclusion References Moving Beyond Stance Detection in Cross-Cutting Communication Analysis 1 Introduction 2 Related Work 3 Methodology 3.1 Data 3.2 Aspect Extraction 3.3 Aspect Clustering 3.4 Contextual Analysis 3.5 Sentiment Analysis 4 Results and Discussion 5 Conclusion References Pandemic Personas: Analyzing Identity Signals in COVID-19 Discourse on Twitter 1 Introduction 2 Prior Work 3 Methods 3.1 Data Collection 3.2 Characterizing Bio Identities 3.3 Political Bio & Tweet In/Out-Group Analysis 4 Results 4.1 Identity Use Across 2020 4.2 Average Rank over Time 4.3 Political Identities in User Bios and Tweets 5 Discussion 6 Conclusion 6.1 Future Work 6.2 Limitations References Poster Abstract Selected Poster Presentation Abstracts 1 Selected Poster Abstracts Author Index