Social Computing and Social Media: 15th International Conference, SCSM 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part I

Description

This two-volume set LNCS 14025 and 14026 constitutes the refereed proceedings of the 15th International Conference on Social Computing and Social Media, SCSM 2023, held as part of the 25th International Conference, HCI International 2023, held in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The SCSM 2023 conference offers a wide range of topics related to the design, development, assessment, use, and impact of social media. Foreword HCI International 2023 Thematic Areas and Affiliated Conferences List of Conference Proceedings Volumes Appearing Before the Conference Preface 15th International Conference on Social Computing and Social Media (SCSM 2023) HCI International 2024 Conference Contents – Part I Contents – Part II Developments in Online Communities and Social Media Detecting Public Spaces and Possibilities of Risk Situations in Them via Social Media Data 1 Introduction 2 Literature Review 3 Research Methodology 4 Results 5 Discussion and Conclusion References Exploring the Anonymity of Social Media Users Using Micro-messages 1 Introduction 2 Method 3 Experiments 3.1 Experiment I: Varying Number of Authors and Writing Samples 3.2 Experiment II: Varying Number of Authors and Writing Samples with AARef+ 3.3 Experiment III: Evaluation of AARef+ 3.4 Dataset 4 Results 4.1 Results of Experiment I: Varying Number of Authors and Writing Samples 4.2 Results of Experiment II: Varying Number of Authors and Writing Samples with AARef+ 4.3 Results of Experiment III: Evaluation of AARef+ 5 Conclusion References Mapping Opinion Cumulation: Topic Modeling-Based Dynamic Summarization of User Discussions on Social Networks 1 Introduction 2 Proposed Methodology 2.1 Core Principles 2.2 Model Description 3 Experimental Setup and Results 3.1 Dataset 3.2 Encoding and Dimension Reduction 3.3 Clustering 3.4 Detection of Sub-topics and Their Summarization 4 Discussion and Conclusion References Abstractive Summarization of Social Media Texts as a Tool for Representation of Discussion Dynamics: A Scoping Review 1 Introduction 2 Abstractive Summarization and Its Application to Mining of Meanings from Social Media: Mapping Research Streams 2.1 Deep-Learning Abstractive Summarization for Datasets from Reddit: Methodologies of Meaning Extraction 2.2 Abstractive Summarization for Other Social Media Platforms 2.3 Abstractive Summarization as a Method in Case Studies 3 Abstractive Summarization as a Technique of Representing Discussion Dynamics 4 Discussion and Conclusion References Analysis on the Language Use of L2 Japanese Speakers Regarding to Their Proficiency in Group Discussion Conversations 1 Introduction 2 Related Works 3 Corpus Gathering Experiment 3.1 Experiment Design 3.2 Experiment Procedures 3.3 Analyzed Dataset 4 Analysis 4.1 Analysis on the Activeness 4.2 Analysis on Word Use 5 Conclusions References Identifying Influential Social Impact Websites with HITS Algorithms 1 Introduction 2 Related Work 2.1 HITS Algorithm 2.2 Social Impact of ESG 3 Research Methodology 3.1 Research Process 3.2 Algorithms Processing 4 Research Experiment 4.1 Data Collection 4.2 Data Preprocessing 4.3 Experimental Result and Analysis 5 Conclusion and Future Research References Towards a Truly Collective Leadership: A Case for Symbiotic Relationships in Planetary Health and Artificial Intelligence 1 Introduction 2 An Integral Approach to Collective Leadership 3 Climate Change to Planetary Health 4 Artificial Intelligence to Symbiotic Relationships 5 Conclusions References Inter-person Intra-modality Attention Based Model for Dyadic Interaction Engagement Prediction 1 Introduction 2 Related Works 2.1 Engagement and Synchrony 2.2 Deep Learning Engagement Models 3 Methods 3.1 Overall Structure 3.2 Multi-head Self Attention Backbone Model 3.3 Embedding Methods 4 Experiments 4.1 Data 4.2 Models 5 Results and Discussion 5.1 Experiment Results 5.2 Discussions 6 Conclusion References Learning User Embeddings with Generating Context of Posted Social Network Service Texts 1 Introduction 2 Related Work 3 Method 3.1 Context Generation Model 3.2 User Embedding Layer 4 Experiments 4.1 Model Training 4.2 Experiment with Context Generation 4.3 Experiment with Down-Stream Task 4.4 Evaluation Based on Similarity 5 Conclusion References Predicting Twitter Hate User Behavior Using Big Five Personality Traits and Ensemble Machine Learning 1 Introduction 2 Literature Review 3 Methodology 4 Results 5 Discussion 6 Conclusion References A Machine Learning Approach to Prediction of Online Reviews Reliability 1 Introduction 2 Related Work 2.1 Methods Based on Review Analysis 2.2 Methods Based on Reviewer Analysis 3 The Proposed Approach 4 Experimental Evaluation 5 Conclusions and Future Works References Automated Detection of Different Publication Patterns of Online Deliberation as a Research Domain 1 Introduction 2 Online Deliberation as a Research Domain 2.1 What Does Deliberation Mean? Conceptualizing and Proposing Own Definition 2.2 What is e-deliberation? Main Directions of Research on Online Deliberation 3 Workflow of Conducted Bibliometric Analysis 4 Interpretation of Results 4.1 What is the State-of-the-Art of Online Deliberation Reflected by the Most Cited Papers, Most Important Authors, Sources (Journals)? 4.2 What Are the Key Themes/concepts in the Literature of Online Deliberation? 5 Discussion 5.1 Study Limitations 5.2 What Are the Gaps and Future Research Opportunities in the Field? 6 Conclusion References Social Computing and Social Media in Multi-cultural Contexts Cumulative Polarization: Patterns of Accumulation of Neutral and Politicized Echo Chambers on Russian Twitter 1 Introduction 2 Cumulative Dynamics vs. Opinion Polarization in Online Talk 2.1 Dynamic Polarization as a Scientific Problem 2.2 News Media Consumption and Political Polarization 3 Research Questions 4 The Research Method 4.1 The Markup Procedures for Clustering Users 4.2 The Research Pipeline 5 Results 6 Discussion and Conclusion References Management of Cultural Institutions. Case Study: Management of Performing Arts in Romania 1 Introduction 2 Literature Review 3 Recent Changes in the External Environment: The Impact on Arts and Culture 4 Methodology 5 Findings and Discussions 6 Conclusions References Twitter as a Communication Tool for Flood Disaster Mitigation in Jakarta 1 Introduction 2 Literature Review 2.1 Technology for Government 2.2 Digital Native and Disaster Mitigation 3 Research Methodology 4 Analysis, Finding and Discussion 4.1 Information Topic Intensity on Official Twitter Government 4.2 Domination Information Massage on @BPBDJakarta 5 Conclusion References West Java Government Branding Using Social Media: A Case of Ridwan Kamil Personal Branding 1 Introduction 2 Literature Review 2.1 Use Social Media in Political Communication 2.2 Personal Branding 3 Method 4 Result and Discussion 4.1 Ridwan Kamil’s Twitter Post 4.2 A Twitter Account that is Often @Mantions Ridwan Kamil 4.3 Hashtags Often Used by Ridwan Kamil 5 Conclusions References Social Media Activism in South Africa 1 Introduction 1.1 Problem Statement 2 Related Literature 2.1 Social Media Activism 2.2 Social Media Activism Challenges 2.3 Perceptions of Social Media Activism 3 Approach to Theory 4 Findings 4.1 Financial Limitations 4.2 Illiteracy 4.3 Western vs. Local 4.4 Disinformation 5 Conclusion References Designing a Robot as an Interaction Frontend for Elderly People Living in Aging Mountainous District in Japan 1 Introduction 2 Supporting Elderly People in Aging Mountainous District 3 Design of the Robot for Supporting Elderly People 4 Implementation 4.1 Autonomous Talk with a Robot 4.2 Remote Communication with Staffs 5 Related Works 6 Conclusion and Future Work References Considerations on FinTech Models in Romania – Specific Aspects Regarding Communication with Customers and the Recognition of Financial Flows Generated by These Models in the Accounting of Privately Owned Companies 1 Introduction 2 Literature Review 3 Research Methodology 4 Analysis, Interpretation of Data and Discussion 4.1 Definitions and FinTech History in Romania 4.2 Tools and Technologies Used 4.3 Perception of Romanian Consumers for the Products and Services Offered by FinTech 4.4 The Role of the State in the Existence of FinTech in Romania and the Interaction of the Public Financial Sector - Private Financial Sector 4.5 FinTech Recognition Aspects in Private Company Accounting 5 Conclusions References Narrative Communities on Social Networks and the Roles of Legacy Media in Them: The Case of User Complaints in Russian Regions 1 Introduction 2 Complaints-Based Narrative Communities in Russian Regions 2.1 Narrative Communities and Community Narratives: The Forces that Shape Online Community Building 2.2 Communities of Opinion and Gatekeepers of Discontent on Social Media 2.3 Mapping Complaints-Based Narrative Communities in Russian Regions 2.4 The Research Questions 3 Data Collection and Analysis 4 Results 5 Discussion and Conclusion References How Does the Online News Portal Framing the Phenomenon of Street Fashion in Indonesia 1 Introduction 2 Overview of Literature 2.1 Framing Analysis Concept 2.2 Street Fashion 3 Research Method 4 Result and Discussion 4.1 Framing Content Analysis 4.2 Media Framing Narrative on Citayam Fashion Week 4.3 Reporting Intensity of Online News Platform 5 Conclusions References Temporal Dynamic of a Global Networked Public: A Case Study of Russian-Speaking Instagram Bloggers with Migration Background 1 Introduction 2 Theoretical framework 2.1 Pandemic, Infodemic, and Instagram 2.2 Targeting Vulnerable Social Groups via Social Media 3 Methodology 4 Findings 4.1 RQ1. How was the Collaborative Posting Organized? 4.2 RQ2. How Does the Network Between Follower-Followee Networks of the Separate Social Media Influencers DiffeDdepending on Hashtags? 4.3 RQ3. Did the More Involved Social Media Influencers Increase Influence During two Months of Collaborative Posting? 5 Conclusion References Digital Transformation in Business and Industry 4.0 Through Social Computing Archetypes of Blockchain-Based Business Models 1 Introduction 2 Theoretical Background 2.1 Business Models 2.2 Blockchain Technology 3 Propositions and Conceptual Model Development 4 Conclusion References Implementing Digital Transformation Processes in Industry 4.0 1 Introduction 2 Methodology 2.1 Research Questions 2.2 Search Process 2.3 Selection of Primary Studies 2.4 Analysis of Results 2.5 Limitations 3 Discussion of Results 3.1 RQ1. What Are the Guidelines for Implementing Digital Transformation Processes for Industry 4.0 Used? 3.2 RQ2. How Is the Impact of Digital Transformation on the Company's Users/customers or Services Evaluated? 3.3 RQ3. How Are Agile Methods Integrated into Digital Transformation Processes in Industry 4.0? 4 Conclusions and Future Work References Apply Natural Language Processing-Chatbot on Industry 4.0 1 Introduction 2 Literature Review 3 Methodology 3.1 Applications of Natural Language Processing 3.2 Data Preprocessing 3.3 Algorithm Development 4 Results 5 Conclusion References Research on Store Evaluation in the Service Industry Through Analysis of Questionnaire Data on Employee Satisfaction 1 Introduction 2 Purpose of This Study 3 Definition of Employee Satisfaction 4 Dataset 4.1 ID-POS Data 4.2 Questionnaire Data on Workplace Satisfaction from Employees 5 Analysis to Improve Employee Satisfaction 5.1 Selection of Questionnaire Items 5.2 Summary Graphs 5.3 Causal Relationship between Employee Satisfaction and Latent Factors 5.4 Multi Group Analysis by Employee jobs. 6 Analysis for the Purpose of Identifying Good Customers 6.1 Basic Tabulation 6.2 RF Analysis 6.3 Number of People per Rank in each Store 7 Relationship between employee satisfaction and customers 8 Conclusion References Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions 1 Introduction 2 Related Work 3 Methodology 3.1 Predicting Personality from Linguistic Features 3.2 Dataset and ASR Systems 3.3 Proposed Model: The Neural Network 3.4 Baseline Model: The Support Vector Machine 4 Results 5 Analysis and Discussion 6 Conclusion References Apply CNN Style Transformation on Industry 4.0 1 Introduction 2 Convolutional Neural Network, CNN 2.1 Convolutional Layer 2.2 Pooling Layer 2.3 Fully Connected Layer 3 Featured Content 3.1 Introduction to Neural Network. 3.2 Style Conversion Code 4 Results and Discussion 5 Conclusion References Causal Inference of Direct Email Advertising Effects Using ID-POS Data of an Electronics Store 1 Introduction 2 Data 2.1 ID-POS Data 2.2 Recipient's Reactions Data 3 Method 3.1 Causal Inference Framework 3.2 Estimation Approach 3.3 Validation of Estimated Result 4 Model 4.1 Model 1 4.2 Model 2 5 Result 5.1 CATE Estimated Result with Different Methods in Model 1 5.2 Result of Model 2 6 Discussion 7 Conclusion References Visualization of Community Structure Using Follower Data on Twitter and Comparison Between Stores 1 Introduction 2 Purpose of This Study 3 Summary of Data to Analysis 4 Analysis to Characterize the Network Structure of Each Store 4.1 Visualization of the Network Structure of Each Store 4.2 Detecting Communities Using Modularity 5 Consideration of Product PR Methods 6 Conclusion References New Product Development (NPD) - Staying Competitive in an Ever-Changing Business Environment 1 Strategic Product and Service Decisions 2 New Product Development (NPD) 3 Degrees of Product Newness 4 The Multiple Convergent Process Model 5 Product Platform and Modularity in NPD 6 New Products For The International Market 7 Conclusion References Implementing RFID Technologies for Automated Guided Vehicles in Industry 4.0 1 Introduction 2 Background 2.1 Industry 4.0 2.2 Robotics 2.3 Automatic Guided Vehicles 2.4 RFID Application 3 Materials and Methodology 3.1 Hardware Used: InnoAGV by Niche Applied Technology 3.2 Software Used 3.3 Relay of Information From Input to Output 4 Results and Discussions 4.1 Advantages and Disadvantages 4.2 Challenges 4.3 Potential 4.4 Limitations 4.5 Recommendations 5 Conclusion Appendix: Pictures Taken From Tirt 2022 References A Research on Innovation and Benefit of Interactive Design Method of Smartphone Digital Social Media Advertising 1 Introduction 1.1 A Subsection Sample 2 Literature Review 2.1 Definition and Development of Social Media 2.2 Research on Issues Related to Electronic Pricing of Social Media Advertisements 3 Research Methods 3.1 Research Design 3.2 Research Methods 4 Research Analysis and Discussion 4.1 Statistics of the Basic Data of the Subjects 4.2 Statistics of Users’ Satisfaction with the Evaluation of the Current Design Mode of Advertising in Social Media Facebook 5 Conclusions References Dysfunctional User States in Interface Use and Their Dependency on Work Environment and Task Complexity 1 Introduction 2 User Dysfunctionality and Factors that Condition It in Usability Testing 2.1 The Concept of Dysfunctional User State and Its Application to Usability Research 2.2 The ‘Contextual Fidelity’ Model and Functional State Patterns 2.3 The Research Questions and Hypotheses 3 The Research Method 3.1 The Experimental Design 3.2 Measurements and Instruments 4 Results 5 Discussion and Conclusion References Consumer Behavior in Social Computing and Social Media Behavior of Current Consumers of Nintendo Video Game Consoles 1 Research Problem 2 Objectives of the Study 2.1 General Objective 3 Theoretical Framework 3.1 Literature Review 3.2 The Video Game Industry Value Chain 3.3 Nintendo in the Industry 3.4 The Strategy of Nintendo Switch 3.5 Consumer Behavior in the Face of New Technologies 3.6 Model Under Study 3.7 Definition of Constructs and Hypotheses 4 Methodology 5 Results 5.1 Sample Characteristics 5.2 Mathematical Validation 5.3 Model Adjustment 6 Discussion and Analysis 7 Conclusions 8 Anexos References A Preliminary Methodology for Information Consumer Experience Evaluation 1 Introduction 2 Theoretical Background 2.1 Costumer eXperience (CX) 2.2 Touchpoints 2.3 Customer Journey Map (CJM)) 2.4 Information Consumer eXperience (ICX) 3 Related Works 4 ICX Evaluation Methodology Proposal 4.1 Characterization Stage 4.2 Experimentation Stage 4.3 Analysis Stage 5 Conclusions References Shopee Affiliates: How is the Pattern of Using Hashtags on Twitter in Promoting Sales Products 1 Introduction 2 Overview of Literature 2.1 Digital Marketing 2.2 Promosi di Twitter 3 Methods 4 Result and Discussion 4.1 Analysis of Shopee Affiliates Product Promotion 4.2 Hashtag Shopee Affiliates Content 5 Conclusion References  Identification of Evaluation Items in Consumer Reviews Using Natural Language Processing Models with Social Media Information 1 Introduction 2 Purpose 3 Datasets 4 Estimation of Customer Review Data Content 4.1 Creating a Sentence Classification Model 4.2 Sentence Extraction Through Data Formatting of Customer Review Data 4.3 Sentence Classification Using a Creation Model for Extracted Sentences 4.4 Frequent Words in Each Category by Sentence Classification 4.5 Emotional Analysis of the Extracted Sentences Using a Pre-created Model 4.6 Model Evaluation Used for Sentiment Analysis 5 Result and Discussion 6 Conclusion References Analysis of Purchasing Behavior Based on Discount Rates Using Home Scan Data 1 Introduction 2 Datasets 3 Method 3.1 Probabilistic Latent Semantic Analysis (pLSA) 3.2 Correspondence Analysis 3.3 Association Analysis 4 Result 4.1 Probabilistic Latent Semantic Analysis (pLSA) 4.2 Correspondence Analysis 4.3 Association Analysis 5 Discussion 5.1 Probabilistic Latent Semantic Analysis (pLSA) 5.2 Correspondence Analysis 5.3 Association Analysis 6 Conclusion References Virtual Reality, Augmented Reality and Metaverse: Customer Experience Approach and User Experience Evaluation Methods. Literature Review 1 Introduction 2 Related Work 2.1 Customer Experience and User Experience 2.2 Evaluation Methods 2.3 Virtual Reality, Augmented Reality and Metaverse 3 Methodology 3.1 Research Questions 3.2 Data Sources 3.3 Selection Articles 3.4 Articles Classification 3.5 Answer Research Questions 4 Conclusion and Future Work References Evaluation of Consumer Behavior Focusing on the Change in Flow Line Impacted by Floor Renovation in a Fashion Department Store 1 Introduction 2 Previous Study 3 Experiments on Flow Line Observation 3.1 Department Stores Included in the Experiment 3.2 Experimental Equipment and Software 3.3 Experimental Procedure 3.4 Experimental Equipment and Software 4 Dataset 4.1 Node List - Stores Stayed 4.2 Edge Listings - Store-to-Store Flow Line 5 Centrality Indicators 5.1 Degree Centrality 5.2 Betweenness Centrality 6 Result and Discussion 6.1 Evaluation of Consumer Behavior Before and After Renovation 6.2 Store Evaluation Based on Centrality Index 7 Conclusion References Customer Review Classification Using Machine Learning and Deep Learning Techniques 1 Introduction 2 Related Works 3 Exploratory Data and Analysis 4 Customer Analysis 4.1 Product Trend Analysis 5 Methodology and Experiments 5.1 Text Processing 5.2 Randomization and Stratification 5.3 The Metrics 5.4 Experimental process/implementation 5.5 Measuring Classifier Performance 6 Results and Discussion 6.1 Exploratory Analysis Results 6.2 Modeling Experiment Results 6.3 AUC-ROC Curve 7 Conclusion and Future Works References Evaluating Differences in Consumer Behavior With and Without Planning and Predicting Unplanned Purchases 1 Introduction 2 Purpose of This Study 3 Datasets 4 Experimental Methods 4.1 Pre-experiment Questionnaire 4.2 Post-experiment Questionnaire 5 Analysis Method 5.1 T-test 5.2 Wilcoxon Rank-um Test 5.3 Logistic Regression 6 Result 6.1 Comparison with and Without Purchase Plans 6.2 Comparison with and Without Non-planned Purchases 7 Discussion 7.1 Comparison with and Without Plans 7.2 Comparison with and Without Non-planned Purchases 8 Conclusion References Audiovisual Content Consumer Behavior Regarding Advertising on Online Streaming Platforms 1 Introduction 2 Literature Review 3 Methodology 4 Results 5 Conclusions References Analysis of Loyal Customers Considering Diversity of Customers 1 Introduction 2 Purpose 3 Datasets 3.1 Datasets Summary 3.2 Data Description 4 Analytical Method 4.1 pLSA (Probabilistic Latent Semantic Analysis) 5 Analysis and Results 5.1 Data Processing 5.2 Determining the Number of Latent Class 5.3 Results of pLSA 5.4 Survey of Loyal Customers 5.5 Survey of Recurring Customers 6 Discussion 7 Conclusion References Author Index