Suchergebnisse

Intro -- Preface -- Organization -- Contents -- Social Cybersecurity -- Chasing the Wrong Cloud: Mapping the 2019 Vaping Epidemic Using Data from Social Media -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Related Work -- 5 Conclusions -- References -- Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents -- 1 Introduction and Background -- 2 Methodology -- 2.1 Supply Chain Model -- 2.2 Disruptions -- 2.3 The Criminal Agent -- 2.4 Simulation and Optimization -- 3 Results -- 4 Summary and Outlook -- References -- Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media*-8pt -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Data -- 3.2 An Information Theoretic Approach to Intent Measurement -- 3.3 Disinformation Classification -- 4 Results -- 5 Discussions and Conclusions -- References -- Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 4.1 Hypergraph Construction for Meta Ads -- 4.2 Hypergraph Attention Network -- 5 Experiment -- 5.1 RQ1: Evaluation on Text Classification Task -- 5.2 RQ2: Discourse Identification in Categories -- 6 Conclusion and Future Work -- References -- A Systematic Approach for Contextualizing Focal Structure Analysis in Social Networks -- 1 Introduction -- 2 Research Problem Statement -- 3 Methodology -- 3.1 Modified Adjacency Matrix for CFSA -- 3.2 Stepwise Description of the CFSA Algorithm -- 4 Results -- 5 Conclusion and Future Work -- References -- Frames and Their Affective Dimensions: A Case Study of Climate Change News Articles -- 1 Introduction -- 2 Data and Method -- 3 Results -- 3.1 Frame Prediction -- 3.2 Frames in EPA -- 3.3 Reshare Count of Frames -- 4 Discussion -- References.

This book constitutes the proceedings of the 15th International Conference on Social Computing Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2022, which was held on September 20-23, 2022 in Pittsburgh, Pennsylvania. The goal of this conference is to build a community of social cyber scholars, bringing together and fostering interaction between members of the scientific, corporate, government, and military communities interested in understanding, forecasting, and impacting human sociocultural behavior. It is the charge of this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. As the papers in this volume show, people, theories, methods, and data from a wide number of disciplines are represented including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used, such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.

Intro -- Preface -- Organization -- Contents -- Analyzing the Dabiq Magazine: The Language and the Propaganda Structure of ISIS -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Before ISIS, There Is Al Qaeda -- 2.2 The Islamic State and Dabiq Magazine -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Characterizing Organizational Micro-climates in Structural Groups -- Abstract -- 1 Introduction -- 2 Organizational Climate Research and Identifying Climate Within Groups -- 3 Data -- 4 Method -- 4.1 Louvain Trees to Identify Groups of Interest -- 4.2 Using Text to Find and Characterize Micro-climates -- 5 Results -- 5.1 Structural Analysis -- 5.2 The Impact of Categorical Dominance on Micro-climates -- 6 Conclusion -- References -- Pro/Con: Neural Detection of Stance in Argumentative Opinions -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Model -- 4.1 Parallel LM Units -- 4.2 Fusion and Classification -- 5 Evaluation -- 6 Results and Analysis -- 6.1 Effect of Max-pooling -- 6.2 Effect of Pre-trained LM -- 6.3 Sentiment Analysis -- 7 Conclusion -- Acknowledgement -- References -- Modeling Gender Inequity in Household Decision-Making -- 1 Introduction -- 2 Intra-household Bargaining -- 2.1 Portfolios and Payoffs -- 3 External Interactions -- 3.1 An Example -- 4 Future Work -- References -- Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? -- 1 Introduction -- 2 Supervised Bot Detection Methods -- 3 Data for Supervised Bot Detection -- 3.1 Datasets -- 3.2 Feature Extraction -- 4 A Recall-Focused Approach - REFOCUS -- 4.1 Searching for a Trade-Off: Selecting -- 5 Experiments -- 5.1 Searching for the Right -- 5.2 Testing the Overall Performance -- 6 Conclusion and Future Directions -- References -- A Quantitative Portrait of Legislative Change in Ukraine -- Abstract.

Intro -- Preface -- Organization -- Contents -- COVID-Related Focus -- Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development -- 1 Introduction -- 2 Data Collection and Processing -- 3 Low Credibility Information Sources -- 4 Malicious URLs -- 5 User Co-sharing Practices -- 6 Conclusions -- References -- How Political is the Spread of COVID-19 in the United States? -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Department of Transportation Data -- 3.2 JHU CSSE COVID-19 Dataset -- 3.3 Other Sources -- 4 Methodology -- 4.1 K-Means Clustering -- 4.2 Calculating Infection Rate -- 4.3 Correlation Analysis -- 5 Analysis Results -- 5.1 Clustering US States -- 5.2 Correlation Analysis -- 5.3 Further Analysis for Travel Patterns After States' Reopening Dates -- 6 Conclusions and Future Work -- References -- Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Analysis and Results -- 5 Conclusions and Future Work -- References -- Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning -- 1 Introduction -- 2 Background -- 2.1 SIR-Based Model for Epidemic Simulation -- 2.2 Markov Decision Process -- 3 Methodology -- 3.1 Extended Model for Epidemic Simulation (SI2R) -- 3.2 Reinforcement Learning for Optimization of Regulations -- 3.3 Offline Reinforcement Learning -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Results -- 5 Conclusion -- References -- Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing -- Abstract -- 1 Introduction -- 2 Data -- 2.1 Mask-Wearing Data -- 2.2 CMU CASOS/IDeaS COVID-19 Twitter Data.

Beyond Words: Comparing Structure, Emoji Use, and Consistency Across Social Media Posts -- Bot Impacts on Public Sentiment and Community Structures: Comparative Analysis of Three Elections in the Asia-Pacific -- Understanding Colonial Legacy and Environmental Issues in Senegal through Language Use -- Deploying System Dynamics Models for Disease Surveillance in the Philippines -- MDR Cluster-Debias: A Nonlinear Word Embedding Debiasing Pipeline -- Modeling Interventions for Insider Threat -- Validating Social Media Monitoring: Statistical Pitfalls and Opportunities from Public Opinion -- Lying About Lying on Social Media: A Case Study of the 2019 Canadian Elections -- Breadth verses depth: the impact of tree structure on cultural influence -- Optimizing Attention-Aware Opinion Seeding Strategies -- Polarizing Tweets on Climate Change -- Characterizing Sociolinguistic Variation in the Competing Vaccination Communities -- On Countering Disinformation With Caution: Effective Inoculation Strategies and Others That Backfire Into Community Hyper-Polarization -- Homicidal Event Forecasting and Interpretable Analysis using Hierarchical Attention Model -- Development of a Hybrid Machine Learning Agent Based Model for Optimization and Interpretability -- Canadian Federal Election and Hashtags That Do Not Belong -- Group Formation Theory at Multiple Scales -- Towards Agent Validation of a Military Cyber Team Performance Simulation -- Developing Graph Theoretic Techniques to Identify Amplification and Coordination Activities of Influential Sets of Users -- Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models -- Critical spatial clusters for vaccine preventable diseases -- Multi-cause Discrimination Analysis Using Potential Outcomes -- Twitter is the Megaphone of Cross-Platform Messaging on the White Helmets -- Physiological Signal Embeddings with Nonparametric Hidden Markov Models -- The Rise and Fall of Humanitarian Citizen Initiatives: A simulation-based approach -- Developing an Epidemiological Model to study Spread of Toxicity on YouTube -- Predicting Student Flight Performance with Multimodal Features -- A Game-Transformation-based Framework to Understand Initial Conditions and Outcomes in the context of Cyber-enabled Influence Operations (CIOs) -- The Human Resource Management Parameter Experimentation Tool -- Utilizing Python for Agent-based Modeling: The Mesa Framework -- Strategic Information Operation in YouTube: The case of White Helmets -- Artifacts of Crisis: Textual Analysis of Euromaidan -- Modeling decisions from experience among frequent and infrequent switchers via strategy-based and instance-based models.