<p><span>This two-volume set LNCS 12774 and 12775 constitutes the refereed proceedings of the 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pande
Social Computing and Social Media: Design, User Experience and Impact (Lecture Notes in Computer Science)
✍ Scribed by Gabriele Meiselwitz (editor)
- Publisher
- Springer
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- 2022
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- English
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- Library
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✦ Synopsis
This two-volume set LNCS 13315 and 13316 constitutes the refereed proceedings of the 14th International Conference on Social Computing and Social Media, SCSM 2022, held as part of the 24rd International Conference, HCI International 2022, which took place in June-July 2022. Due to COVID-19 pandemic the conference was held virtually.
The total of 1276 papers and 275 posters included in the 40 HCII 2022 proceedings volumes was carefully reviewed and selected from 5583 submissions. The papers of SCSM 2022, Part I, are organized in topical sections named: design and user experience in social media and social live streaming; text analysis and AI in social media; social media impact on society and business.
✦ Table of Contents
Foreword
HCI International 2022 Thematic Areas and Affiliated Conferences
List of Conference Proceedings Volumes Appearing Before the Conference
Preface
14th International Conference on Social Computing and Social Media (SCSM 2022)
HCI International 2023
Contents – Part I
Contents – Part II
Design and User Experience in Social Media and Social Live Streaming
Communication and Information About Breast Cancer: A Comparative Study Between a Physical and an Online Environment
1 Introduction
2 Methods
3 Results and Discussion
3.1 Socioeconomic Profile, Internet Use, and Online Information Search on Breast Cancer
3.2 The Expert Patient Phenomenon in the Analyzed Online and Physical Environments
4 Conclusion
References
User Experience Evaluation of a Computational Thinking-Enhanced Problem-Solving Tool: Findings and Next Steps
1 Introduction
2 Related Works
3 A Computational Thinking-Enhanced Problem-Solving Tool
4 User Experience Evaluation
4.1 Experimental Framework
4.2 Execution of Experimentation
4.3 Results Obtained
4.4 Multivariate Analysis
4.5 Discussion of the Results
5 Conclusions and Future Work
References
Automated Tools for Usability Evaluation: A Systematic Mapping Study
1 Introduction
2 Related Work
3 Research Method
3.1 Research Questions
3.2 Define the Search Strategy
3.3 Formation of the Search String
3.4 Inclusion and Exclusion Criteria
3.5 Select the Studies
4 Results and Discussion
4.1 Automated Tools to Support Usability Evaluation
4.2 Usability Evaluation Techniques Benefited by Automated Tools
4.3 Problems and Challenges of Using Automated Tools
4.4 Classification of Automated Tools
5 Validity Threats
6 Conclusions
Appendix A: Primary Studies
References
Exploring Links Between the Interaction with Social Media and Subjective Well-Being: An Exploratory Study
1 Introduction
2 The Role of Wellbeing, Emotions, and Psychological Needs in Experiences with Products
2.1 Objective and Subjective Wellbeing
2.2 Tools for Assessing Wellbeing in Experiences with Products
3 Methodology
3.1 Collage Board
4 Results Discussion
4.1 Scenario 1: Interacting with Social Media Apps in General
4.2 Scenario 2: Using Social Media Apps to Connect with Others
4.3 Scenario 3: Interacting with Social Media Apps to Seek Information
4.4 Scenario 4: Interacting with Social Apps for Personal Expression
4.5 Synthesis and Recommendations
5 Conclusions and Future Research
References
Improving EEG-based Motor Execution Classification for Robot Control
1 Introduction
2 Background
3 Related Work
4 Method
4.1 Experimental Paradigm
4.2 Data Acquisition
4.3 Pre-processing
4.4 Proposed Architecture
4.5 Confidence Level of the Model
5 Results
5.1 The Effect of MI Sub-trials
5.2 Effect of Confidence Level Integration
5.3 Validation with an External Dataset
6 Discussion
7 Conclusion
References
User Experience in Mobile Social TV: Understanding Requirements and Presenting Design Guidelines
1 Introduction
2 Methodology
3 Results
3.1 Mobile Social TV Concept
3.2 Mobile Social TV Experience
3.3 Interaction Method
3.4 Design Guidelines
4 Discussion
4.1 Findings for Mobile Social TV Concept
4.2 Findings for Design Guidelines
5 Conclusion and Future Research
References
Perspectives for Using Smart Augmented Reality for the Future in Social Computing and Collaborative Assistance
1 Introduction
2 Fundamentals
2.1 Computer-Mediated Communication/CSCW
2.2 Affective Computing
2.3 Artificial Intelligence
2.4 Internet of Things
2.5 Software Agents and Virtual Assistants
2.6 Augmented Reality
3 Challenges
3.1 Information Gap Challenge
3.2 Presence Challenge
3.3 Remote Action Challenge
3.4 Data Fusion Challenge
3.5 Exploiting Semantics and Context Challenge
3.6 Representation Challenge
3.7 IT-System Configuration and Maintenance Challenge
4 Smart AR and Information Gaps
4.1 Visual Augmentations to Outweigh Loss of Information
4.2 Reuse of AR Information
5 Smart AR and Smart Assistants
5.1 Representation of Smart Assistants
5.2 Pro-active Shaping of Communication Environments
6 Smart AR and System Architectures
7 Future Potential
8 Conclusion
References
Analysis of the Relationship Between Food and the Writer's Emotions Using a Meal Diary
1 Introduction
2 Research Purpose
3 Analysis Method
4 Result
4.1 Results of Emotion Score and Taste Score
4.2 Result of Event Score and Overall Score
5 Discussion
6 Conclusion
References
Temporal and Geographic Oriented Event Retrieval for Historical Analogy
1 Introduction
2 Related Works
3 Data Collection
3.1 History Event Data
3.2 Location Data
4 Proposed Algorithm
4.1 Estimation of Geographic and Temporal Interests
4.2 Event Retrieval
5 Experimental Evaluations
5.1 Experimental Setting
5.2 Results
6 Conclusions
References
Eye Tracking to Evaluate the User eXperience (UX): Literature Review
1 Introduction
2 Background
3 Research Method
3.1 Identify the Research Questions
3.2 Identify Relevant Studies
3.3 Study Selection
3.4 Answering the Research Questions
3.5 Charting Data
4 Conclusions
References
Psychological Characteristics Estimation from On-Road Driving Data
1 Introduction
2 Related Works
2.1 Relationship Between Driving and Personality
2.2 Driver Assistance Systems
3 Dataset
3.1 In-vehicle Sensor Data
3.2 Driving Style Questionnaire and Workload Sensitivity Questionnaire
4 Feature Extraction
5 Experimental Setting
6 Results
6.1 Comparison Between Various Duration Segmentation Models
6.2 Comparison with Road Type Segmentation Models
7 Discussion
7.1 Contribution of Each Sensor
7.2 Contribution of the Segmentation
8 Conclusion
References
FLAS: A Platform for Studying Attacks on Federated Learning
1 Introduction
2 Related Work
2.1 Importance of FL Research
2.2 FL Vulnerabilities and Existing Strategies
2.3 Limitations of Current FL Attack Research Techniques
3 FLAS System Design
3.1 FLAS Overview
3.2 FLAS Attack Simulation
4 FLAS Dashboard Design
5 Results and Discussion
6 Conclusions and Future Work
References
A Study on the Influencing Factors of User Interaction Mode Selection in the Short Video Industry: A Case Study of TikTok
1 Introduction
2 Literature Review
3 Theoretical Background and Hypotheses
4 Research Methodology
5 Results
5.1 Measurement Model
5.2 Structural Model
6 Discussion and Future Research
6.1 Summary of Results
6.2 Implications for Theory
6.3 Implications for Practice
6.4 Limitations and Future Research
7 Conclusion
References
User Preferences for Organizing Social Media Feeds
1 Introduction
2 Related Work
3 Research Methods
3.1 Survey Design
3.2 Research Questions
4 Survey Results
4.1 Overview of Responses
4.2 Demographics of Respondents
4.3 Change Detection
4.4 Experiential
4.5 Browsing
4.6 Searching
5 Organization Preferences
5.1 Current Sort Orders
5.2 Preferred Sort Orders
5.3 Clustering
5.4 Numbers of Posts
5.5 Ending a Session
6 Implications for System Design
7 Limitations
8 Conclusion and Future Work
References
A Property Checklist to Evaluate the User Experience for People with Autism Spectrum Disorder
1 Introduction
2 Theorical Background
2.1 Autism Spectrum Disorder
2.2 User Experience
2.3 Property Checklist
3 Property Checklist Proposals
3.1 Developing the Property Checklist
3.2 An Abbreviated Property Checklist
3.3 Using the Property Checklist
4 Conclusions and Future Work
References
Operation Strategies for the PUGC Social Media Video Platform Based on the Value-Chain Perspective—A Chinese Case ‘Bilibili’
1 The Development Status and Trend of PUGC Video Platform
1.1 Video Content Ecology is Getting Mature
1.2 A Brand-New Consumer Group—Generation Z
2 Definition and Characteristics of Video Content Platform Value Chain
3 The Generating Logic of Bilibili’s Value Chain
3.1 Development Status of Bilibili
3.2 Bilibili’s Value Chain
4 Reflections for the Operation Strategy of PUGC Video Platform
4.1 Optimize the Content Creation Ecology
4.2 Enhance the Application Means of Science and Technology
4.3 Strengthen the Maintenance of Community Atmosphere
References
Behind the Scenes: Exploring Context and Audience Engagement Behaviors in YouTube Vlogs
1 Introduction
2 Related Work
2.1 Vlogging Context
2.2 Vloggers’ Audience Engagement Behaviors (AEBs)
2.3 Vloggers’ AEBs and Vlogging Context
3 Research Method
3.1 Sample Collection
3.2 Examination
3.3 Reliability
4 Results
4.1 Personal Context
4.2 Environmental Context
4.3 Medium Context
5 Discussion and Implications
Appendix
References
Text Analysis and AI in Social Media
Development of Bilingual Sentiment and Emotion Text Classification Models from COVID-19 Vaccination Tweets in the Philippines
1 Introduction
2 Review of Related Literature
2.1 COVID-19 Vaccine Perception
2.2 Relationship of Perception and Social Media
2.3 Models for Studying Perception Through Social Media
3 Methodology
3.1 Data Extraction on Twitter
3.2 Manual Annotation of the Data Set
3.3 Data Pre-processing
3.4 Feature Extraction
3.5 Developing a Bilingual Sentiment and Emotion Text Classification Models
3.6 SHapley Additive ExPlanations (SHAP) Analysis of Models
3.7 Applying Sentiment and Emotion Text Classification Models in Understanding COVID-19 Vaccine Perception
4 Results
4.1 Inter-rater Reliability Score
4.2 Performance of Existing Sentiment Text Classification Models
4.3 Performance of Existing Emotion Text Classification Models
4.4 Performance of Developed Sentiment Text Classification Models
4.5 Performance of Developed Emotion Text Classification Models
4.6 SHAP Analysis of the Sentiment Classification Model
4.7 SHAP Analysis of the Emotion Classification Model
4.8 COVID-19 Vaccine Perception from September 2021 to January 2022
5 Conclusion
References
Fine Grained Categorization of Drug Usage Tweets
1 Introduction
2 Research Aim
3 Designing Fine-Grained Labels for Drug-Usage Tweets
4 Dataset Construction
5 Classification Methods
5.1 Comparison of Classifiers for Topical Model
5.2 Comparison of Classifiers for Temporal Model
5.3 Error Analysis and Novel Tweet Tone Feature
6 Exploration of Possible Applications Using Fine-Grained Drug Usage Tweet Classification
6.1 Lexical Analysis of Usage Tweets
6.2 Sentiment Analysis of Reactions/Opinions Tweets
6.3 Geographical Analysis of Usage Tweets
7 Conclusion
References
Text Mining for Patterns and Associations on Functions, Relationships and Prioritization in Services Reflected in National Health Insurance Programs
1 Introduction
2 Salient Features of the Philippine Health Care System and the New UHC Act
3 Universal Healthcare Coverage Concepts
4 Methodology
4.1 Data Preparation
4.2 Data Analysis
5 Results
6 Discussions
7 Conclusion
References
Analyzing Change on Emotion Scores of Tweets Before and After Machine Translation
1 Introduction
2 Related Work
2.1 Categories of Emotions
2.2 Multilingual Sentiment Analysis
2.3 The Position of This Study
3 Analysis of Change on Sentiment Scores Before and After Machine Translation on Tweets
3.1 Dictionaries for Sentiment Analysis
3.2 Tweet Acquisition and Processing
4 Experiment Results and Discussions
4.1 Scrutinizing Dictionaries
4.2 Redefining the Neutral Score
4.3 Sentiment Analysis by Dictionary Before and After Translation
4.4 Human Evaluation
4.5 Results of the Sentiment Analysis by BERT
5 Conclusion
References
Automatic Meme Generation with an Autoregressive Transformer
1 Introduction
2 Related Work
3 Dataset
4 Experiments
4.1 Variational Autoencoder
4.2 Autoregressive Transformer
5 Results
6 Conclusion
References
Multimodal Emotion Analysis Based on Visual, Acoustic and Linguistic Features
1 Introduction
2 System Design
2.1 Visual Modality
2.2 Acoustic Modality
2.3 Linguistic Modality
2.4 Information Fusion
2.5 Early Information Fusion
3 Results
3.1 Acoustic Modality
3.2 Linguistic Modality
3.3 Visual Modality
4 Discussion and Conclusion
References
Linguistic and Contextual Analysis of SNS Posts for Approval Desire
1 Introduction
2 Related Work
2.1 SNS and the Desire for Approval
2.2 Analysis of SNS and Users
2.3 Position of This Research
3 Methods and Experiment Design
3.1 Overview of the Framework
3.2 Experiment Design
4 Experiment Results and Discussions
4.1 Data Acquisition and Survey Results
4.2 Evaluation of Classification Results by Naïve Bayesian Classifier and Five-Cross Validation
4.3 Validation by Statistical Analysis Methods
4.4 Discussions
5 Conclusion
References
Social Media Engagement Anxiety: Triggers in News Agenda
1 Introduction
1.1 Negative Emotions in Social Media
1.2 Anxiety in Social Media
1.3 Features of Anxious Social Media Engagement
2 Methodology
3 Results
4 Discussion
5 Conclusion
References
14 Days Later: Temporal Topical Shifts in Covid-19 Related Tweets After Pandemic Declaration
1 Introduction
2 Related Works
3 Methodology
3.1 Data Collection
3.2 Modelling the Topics from Tweet Corpus
4 Results and Discussion
4.1 Number of Clusters
4.2 Determining Topics in Clusters
5 Conclusion and Future Work
References
Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines
1 Introduction
2 Review of Related Literature
2.1 Understanding Disinformation
2.2 Disinformation and Social Media
2.3 Feature Set of COVID-19 Disinformation
2.4 Text Classification Models to Detect COVID-19 Disinformation
2.5 Approaches in Social Network Analysis of Disinformation
2.6 Summary
3 Methodology
3.1 Social Media Data Extraction
3.2 Representational Labeling
3.3 Data Cleaning
3.4 Feature Selection and Extraction
3.5 Creating the Text Classification Model
3.6 Social Network Analysis of COVID-19 Disinformation
4 Results
4.1 COVID-19 Philippine Disinformation Dataset
4.2 Features of the Different COVID-19 Disinformation Categories
4.3 Text Classification Model Performance
4.4 Social Network Analysis of Philippine COVID-19 Disinformation
5 Conclusion
References
A Comparison of Web Services for Sentiment Analysis in Digital Mental Health Interventions
1 Introduction
2 Background
2.1 Sentiment Analysis Approaches
2.2 Related Works
3 Web Services
4 Methodology
4.1 Data Preparation
4.2 Analysis of Data
4.3 Comparison of Web Services
5 Findings
5.1 Results
5.2 Discussion
6 Limitations
7 Conclusion
References
An Extendable Sentiment Monitoring Model for SNS Considering Environmental Factors
1 Introduction
2 Related Work
3 An Extendable Sentiment Monitoring Model
3.1 Data Preparation
3.2 Weighting by Extendable External Factors
3.3 Sentiment Analysis
3.4 Emotion Calibration
3.5 Emotion Monitoring
4 Experiment Result and Discussion
4.1 Experiment Setup
4.2 Results and Discussion
5 Conclusion
References
Empirical Evaluation of Machine Learning Ensembles for Rumor Detection
1 Introduction
2 Related Work
3 Classifier Architecture
4 Experimental Evaluation
4.1 Data Description
4.2 Experimental Design
5 Results
6 Conclusions and Discussion
References
A Methodological Framework for Facilitating Explainable AI Design
1 Introduction
2 Related Work
3 Preliminaries
4 The Explainability in Design Methodology
5 Conclusions and Future Work
References
Social Media Impact on Society and Business
The Role of Moral Receptors and Moral Disengagement in the Conduct of Unethical Behaviors Against Whistleblowers on Social Media
1 Introduction
2 Theoretical Background
2.1 Whistleblowing and Retaliation
2.2 Social Media and Unethical Behavior
2.3 Moral Foundation Theory
2.4 Moral Disengagement
3 Propositions and Conceptual Model Development
4 Conclusion
References
Dynamics of Distrust, Aggression, and Conspiracy Thinking in the Anti-vaccination Discourse on Russian Telegram
1 Introduction
2 Literature Review: Online Media and Vaccine Denialism
2.1 Politics and Media as Factors in Growth of Anti-vaccine Movements
2.2 Online Community Structure as a Factor Shaping Anti-vaxxer Discourses
2.3 Contextual Factors in COVID-Denialism
3 Research Questions
4 Methods
4.1 Data Collection
4.2 Data Processing and Analysis
5 Results
6 Conclusion
References
Gender-Sensitive Materials and Tools: The Development of a Gender-Sensitive Toolbox Through National Stakeholder Consultations
1 Introduction
2 Methodology
2.1 Collection of Gender-Sensitive Materials and Tools
2.2 Search Strategy
2.3 Application of Inclusion and Exclusion Criteria
2.4 Analysis and Categorization of Gender-Sensitive Material and Tools
3 Summary of Findings
3.1 Classification of the Gender-Sensitive Materials and Tools Based on Their Type
3.2 Classification of the Gender Sensitive Materials and Tools Based on Their Aim
4 Discussion - Conclusion
References
A Multidisciplinary Approach to Leadership During the COVID 19 Era. The Case of Romania
1 Introduction
2 Literature Review
3 Methodology
4 Statistical Analysis
5 Data
6 Statistical Method Used
7 The Results of the Statistical Analysis
8 Adequacy Test
9 Interpretation of Results and Discussion
10 The Case of Romania
11 Conclusions
References
Twitter and the Dissemination of Information Related to the Access to Credit for Cancer Survivors*2mm
1 Introduction
1.1 Access to Loans After Cancer: The Emergence in France of the Right to Be Forgotten
1.2 The Role of Patient-Expertise and Social Media to Promote the RtF and the AERAS framework
2 Methods and Dataset
2.1 Dataset Collection and Annotation
2.2 Training of the Classifier
3 Analysis
3.1 Time Evolution of Tweets Related to the RtF on twitter
3.2 A Politicization of the RtF by patient organizations in the field of health
3.3 The Articulation Between Politicization by Associations and Tweets from Individual Accounts
4 Discussion
References
Patient-Led Medicalisation and Demedicalisation Processes Through Social Media - An Interdisciplinary Approach
1 Introduction
2 Medicalisation and Demedicalisation: Labels and Legitimacy at Stake
2.1 History of the Concepts - Medicalisation, Demedicalisation, Over-Medicalisation and Under-Medicalisation
2.2 History of the Phenomena - Examples of Medicalisation and De-medicalisation Through History
2.3 Patient Mobilisations and Social Media
3 The Complexity of Label’s Use. The Case of Overeaters Anonymous Support Groups in Their Struggle for Recognition
3.1 The Recognition of Sickness
3.2 Social Media and Recruitment
3.3 Distance and Criticism of the Medical Field. A Religious Idea of Recovery
4 Political and an Ethical Questions Regarding Patient-Led Medicalisation and Demedicalisation: Health Democracy at Stake
4.1 Claim for Autonomy
4.2 Representativity and Invisibilisation
4.3 Demedicalisation, Personal Responsibility and Public Health
5 Conclusion
References
Social Intelligence Design for Social Computing
1 About the Authors
2 Background
3 Social Intelligence Design Workshops
4 Research Issues Addressed in SID Workshops
4.1 Theoretical Aspects of Social Intelligence Design
4.2 Community Support Systems
4.3 Collaboration Technologies
4.4 Application Domains
5 SID Research Today
5.1 Conversational Informatics and Common Ground Technology
5.2 SID and Emerging Technologies
5.3 SID and New Application Domains
References
Influence Vaccination Policy, Through Social Media Promotion (Study: West Java, East Java, and Central Java)
1 Introduction
2 Literatur Review
2.1 Policy Influence Vaccination
2.2 Social Media
3 Research Method
4 Results and Discussion
4.1 Vaccination Goals and Targets
4.2 Vaccination Promotion Strategy in West Java, East Java, and Central Java Through Social Media
5 Conclusion
References
The Role of the Financial Services Authority (OJK) in Preventing Illegal Fintech Landing in the COVID-19 Pandemic in Indonesia
1 Introduction
2 Literature Review
2.1 The Role of Financial Services Authorities Regarding Criminal Law Regulation
2.2 The Concept of E-Commerce Related Online Loans in the Era of Covid-19
3 Research Method
4 Discussion
5 Conclusion
References
Engagement as Leadership-Practice for Today’s Global Wicked Problems: Leadership Learning for Artificial Intelligence
1 Introduction
2 Individual Human Machine Understanding and Interaction
3 Cultural Human Machine Interaction
4 Species Level Symbiotic Relationship with the Machines
5 Conclusions
References
Open Innovation within Life Sciences: Industry-Specific Challenges and How to Improve Interaction with External Ecosystems
1 Introduction and Overview to this Research
2 Theoretical Background
3 Empirical Analysis
3.1 Methodological Approach
3.2 Data Collection
4 Discussion and Findings
4.1 Differences and Barriers for LS Compared to Other Industries When Implementing OI
4.2 Open Innovation Methodologies in Life Sciences and Key Success Criteria
4.3 Recent Developments on LS OI Initiatives Through the COVID-19 Pandemic
5 Outlook and Further Research
References
Moderation of Deliberation: How Volunteer Moderators Shape Political Discussion in Facebook Groups?
1 Introduction
2 Related Work
2.1 Users as Moderators
2.2 Role of Moderation in Online Deliberation
3 Research Goals and Materials
3.1 Research Questions
3.2 Data Collection
4 Findings
4.1 Moderation for Diversity or Harmony?
4.2 Supporting the Deliberative Quality with Moderation
5 Discussion
6 Conclusion
References
The Platform-of-Platforms Business Model: Conceptualizing a Way to Maximize Valuable User Interactions on Social Media Platforms
1 Introduction
2 The Emergence of On-Platform Entrepreneurs and the Platform-of-Platforms Business Model
3 Underlying Mechanisms in the Platform-of-Platforms Business Model
3.1 Lower Market Entry Barriers and Implications for the Chicken-Egg Problem
3.2 The Benefits of On-Platform Competition
3.3 The Importance of On-Platform Multihoming
3.4 The Strength of Weak Ties for OPEs on Digital Platforms
3.5 The Importance of Granting OPEs the Autonomy to Manage and Adjust Their On-Platform Business Models
4 Implications for Social Media Platform Business Models
5 Conclusion
References
The Impact of Tweets, Mandates, Hesitancy and Partisanship on Vaccination Rates
1 Introduction
2 Data Sources
3 Methodology
3.1 Vaccine Hesitancy Rates per State
3.2 Amount of Misinformation on Covid-19 per State
4 Results and Analysis
4.1 Effect of Party Affiliation on Vaccine Hesitancy and Vaccination Rates
4.2 Effect of Vaccine Mandates on Vaccination Rates and Vaccine Hesitancy Rates
4.3 Effect of Misinformation on Vaccine Hesitancy
5 Conclusion
References
Exploring Public Trust on State Initiatives During the COVID-19 Pandemic
1 Introduction
2 Review of Related Literature
2.1 Understanding Trust and Trustworthiness
2.2 Effects of Trust in Governance
2.3 Trust Detection in Social Media
2.4 Measuring and Analyzing Trust
2.5 Multi-class Text Classification Model to Detect Trust
3 Methodology
3.1 Data Collection
3.2 Data Preprocessing and Exploration
3.3 Feature Extraction and Selection
3.4 Multi-class Model Creation
4 Results
4.1 Dataset Description
4.2 Multi-class Text Classification Model
4.3 Model Prediction
4.4 Word Relationship per Category
5 Conclusion and Future Research
References
Twitter as a Communication Tools for Vaccine Policy in Indonesia: An Analysis
1 Introduction
2 Literature Review
2.1 Vaccine Policy
2.2 Twitter as Communication Crisis
3 Research Method
4 Results
5 Conclusion
References
Author Index
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