Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings (Lecture Notes in Computer Science)

Preface
Organization
Contents
Full Papers
Communities, Gateways, and Bridges: Measuring Attention Flow in the Reddit Political Sphere
	1 Introduction
	2 Data
	3 Methods
		3.1 Attention Flow
		3.2 Network Construction
		3.3 Communities, Gateways, and Bridges
	4 Results
		4.1 Preprocessing and Validation
		4.2 Political Communities
		4.3 Political Bridges and Gateways
	5 Conclusion and Future Work
	A Weight Rescaling
	B Pruning Thresholds
	C Mentioned Communities
	References
Don\'t Take It Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
	1 Introduction
		1.1 Related Work
		1.2 Research Questions (RQ)
	2 Dataset Description
	3 Methodology
	4 Results
		4.1 RQ1: Is There a Correlation Between Humor and Offense?
		4.2 RQ2: Are There Differences in Humor Detection and Comprehension Between Groups?
		4.3 RQ3: Are There Differences Between Groups in Distributions Humor and Offense Ratings?
	5 Qualitative Analysis
	6 Discussion
		6.1 Implications
		6.2 Limitations
	7 Conclusion
	References
#IStandWithPutin Versus #IStandWithUkraine: The Interaction of Bots and Humans in Discussion of the Russia/Ukraine War
	1 Introduction
	2 Related Work
	3 Data Collection and Preprocessing
		3.1 Categorising Accounts via National Lean
		3.2 Bot Classifications
	4 The Role of Bots in the Overall Discussion
	5 Information Flows Between Bots and Human Accounts
		5.1 Information-Flow Estimation Methods
		5.2 Aggregated Information Flows
	6 How Bot Accounts Influence Linguistic Features of the Conversation
		6.1 Bot Activity and Overall Sentiment
		6.2 Bot Activity and Linguistic Discussion Features
	7 Conclusion
	References
Evaluating the Impact of AI-Based Priced Parking with Social Simulation
	1 Introduction
		1.1 Background: Parking Policy
		1.2 Related Work
	2 Methodology
		2.1 Agent-Based Model Used in This Study
		2.2 AI-Based Dynamic Pricing
		2.3 Experiments
	3 Results and Discussion
	4 Conclusion
	A Methodology
	B Parameters for Reproduction
	C Detailed Results
	References
Linguistic and News-Sharing Polarization During the 2019 South American Protests
	1 Introduction
	2 Background
	3 Related Work
	4 Weak Labeling Methodology
		4.1 Determining User Stances
	5 Linguistic Polarization
	6 Polarization in News Sharing Behavior
		6.1 Quantifying the Polarization
		6.2 Polarization Through News Media Transitions
	7 Discussions
	A Data Collection
		A.1 Ethical Considerations
	B Weak-Labeled Dataset
		B.1 Stance-Tags Validation
		B.2 Assignment of User Stances
	C Filtering Irrelevant Media Tweets
	References
``The Times They Are-a-Changin\'\': The Effect of the Covid-19 Pandemic on Online Music Sharing in India
	1 Introduction
	2 Methodology
		2.1 Dataset
		2.2 Tweet Analysis
		2.3 Statistical Tests
	3 Results
		3.1 Context Analysis
		3.2 Content Analysis
	4 Discussion
	5  Appendix
		5.1  Appendix 1
		5.2  Appendix 2
	References
The Side Effect of ERC-20 Standard in Social Media Platforms
	1 Introduction
	2 Background
		2.1 Blockchain and Smart Contracts
		2.2 The ERC-20 Standard
		2.3 Blockchain-Based Rewarding Systems
	3 Reddit
		3.1 The Reddit Community Points
		3.2 What Are DONUTs
		3.3 DONUT Tokenomics
	4 Analysis of the DONUT Tokens
		4.1 DONUTs Token Transfers
		4.2 Token Swaps
	5 Conclusions and Future Works
	References
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation
	1 Introduction
	2 Related Work
	3 Data
	4 Comparative Analysis of Engagement
	5 Post-hoc Causality Analysis
	6 Topical Analysis of Ukraine-Related Disinformation
	7 Limitations and Future Work
	8 Conclusion
	A Appendix
		A.1 Data Collection
		A.2 Heatmap
	References
Polarizing Opinion Dynamics with Confirmation Bias
	1 Introduction
	2 Related Work
	3 Proposed Model
	4 Experiments
		4.1 Experimental Setup
		4.2 Synthetic Experiments
		4.3  Predicting Echo Chamber Participation
	5 Conclusion
	A Appendix
		A.1  Proof of Lemma 2
		A.2 Example of Section 4.3
	References
Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health
	1 Introduction
	2 Problem Definition, Background
		2.1 Low-Resource Language
		2.2 Domains
		2.3 Cross-lingual Sampling
	3 Data
	4 Related Work
	5 Method
		5.1 Unsupervised Word Translation
		5.2 Cross-lingual Sampling
		5.3 Design Considerations, Baselines
	6 Results
		6.1 Unsupervised Word Translation
		6.2 Ablation Analysis
		6.3 Cross-lingual Sampling
	7 Conclusions and Future Work
	A Appendix
		A.1 Ethics Statement
		A.2 News Networks
		A.3 Analyzing Other Language Pairs
		A.4 Dcovid Data Set Visualization
		A.5 Annotation
		A.6 System Pipeline
		A.7 Hyperparameters
		A.8 Hyperparameter Sensitivity Analysis
		A.9 Extended Examples of Lexicons
		A.10 Disabling Pair
		A.11 Loanword
		A.12 Analysis of Discovered Words
		A.13 Topical Cohesion
	References
More of the Same? A Study of Images Shared on Mastodon\'s Federated Timeline
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Toots and Images Collection
		3.2 Explicit Profiling and Web Search
		3.3 Network of Image Co-sharing Users
	4 Results
		4.1 Dataset and Image Results
		4.2 Explicit Profiling Results
		4.3 Mastodon-Web Interaction
		4.4 Image Co-sharing Communities
	5 Conclusion and Future Work
	References
Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
	1 Introduction
	2 Related Work
	3 Survey and Twitter Data
	4 Measuring Vaccine Hesitancy with Twitter
		4.1 Measuring Individual Vaccine Hesitancy
		4.2 Inferring Socio-demographic Profiles
		4.3 Correcting Socio-demographic Selection Bias
	5 Cross-Validation
		5.1 Vaccine Hesitancy Across Countries
		5.2 Vaccine Hesitancy Across Regions
	6 Discussion and Conclusion
	References
A Quantitative Field Study of a Persuasive Security Technology in the Wild
	1 Introduction
	2 Related Work
		2.1 Behaviour Change and Persuasive Techniques
		2.2 Behaviour Change for Cybersecurity
		2.3 Motivation for Study
	3 Methodology
		3.1 Study Procedure
		3.2 Persuasive Messages for Notification and Reminder Emails
		3.3 Research Question and Hypothesis
		3.4 Confounding Variables
	4 Results
	5 Study Limitations
	6 Conclusions and Discussion
	A Exploratory Analysis
		A.1 Analysis of Gender and Participant Responses
		A.2 Analysis of Grade and Participant Responses
		A.3 Analysis of School and Participant Responses
	References
XAI Analysis of Online Activism to Capture Integration in Irish Society Through Twitter
	1 Introduction
	2 Related Work
	3 Dataset and Methodology
		3.1 Dataset: Activists from Both Communities
		3.2 Twitter Metadata Features to Study Integration
		3.3 Textual Features to Study Integration
		3.4 Classification Frameworks and Explainable AI
	4 Findings and Discussion
	5 Conclusion
	References
Reliability of News and Toxicity in Twitter Conversations
	1 Introduction
	2 Related Works
	3 Preliminaries and Definitions
		3.1 Data Collection and Toxicity Evaluation
		3.2 Conversation Reconstruction Algorithm
		3.3 Cascade Metrics
	4 Experimental Results
		4.1 Reliability and Conversations Structure
		4.2 Reliability and Conversations Toxicity
		4.3 Patterns of Toxic Conversations
	5 Conclusions
	References
Characterizing Early Electoral Advertisements on Twitter: A Brazilian Case Study
	1 Introduction
	2 Related Work
	3 Dataset
	4 Analyses and Results
		4.1 Sentiment Analysis
		4.2 Most Common Textual Structures
		4.3 Psycholinguistic Attributes
		4.4 Entity Analysis
	5 Conclusions and Future Work
	A Additional Figures
	References
Mental Health Issues During COVID-19: A Data Exploration
	1 Introduction
	2 Related Work
	3 Data Collection
	4 Research Methodology
		4.1 Measures
		4.2 Research Questions
		4.3 Data Exploration and Social Support
		4.4 Characteristics of Duplicate Posts Authored by Actual Help Seekers
	5 Results and Discussion
	6 Conclusion
	References
On the Presence of Abusive Language in Mis/Disinformation
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Research Questions
		3.2 Datasets
	4 Experimental Results
		4.1 RQ1 - Abusive Language Presence on News
		4.2 RQ2 - News Categories Characterization
		4.3 RQ3 - Psycholinguistic Analyses and Differences
	5 Conclusions
	References
Retention and Relapse in Gambling Self-help Communities on Reddit
	1 Introduction
	2 Materials and Methods
		2.1 Data
		2.2 Social Impact Indicators on Reddit
		2.3 Retention Analysis
		2.4 Relapse Analysis
	3 Results and Discussion
		3.1 Retention
		3.2 Relapse
		3.3 Limitations
	4 Conclusions
	References
Uncovering Discussion Groups on Claims of Election Fraud from Twitter
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 Network Modeling
		3.3 Backbone Extraction
		3.4 Community Detection
		3.5 Topic Extraction and Characterization
	4 Results
		4.1 Discussion Groups
		4.2 Topic Analysis
	5 Conclusions and Future Work
	References
Online Social Integration and Depressive Symptoms in Adolescents
	1 Introduction
	2 Methods
		2.1 Participants and Procedures
		2.2 Measures
	3 Results
	4 Conclusions
	References
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India
	1 Introduction
	2 Background
	3 Dataset
	4 Methodology
		4.1 Uniform Metric of Imbalance
		4.2 Coverage Imbalance
		4.3 Tonality Imbalance
		4.4 Summary Metrics
	5 Experiments and Results
		5.1 Summary Based on Aggregation of Scores
		5.2 Imbalance in Portrayal of Different States/cities
	6 Discussion and Conclusion
	A Appendix
		A.1 Summary Based on Time Series Clustering
		A.2 WEAT Scores to Determine Party Popularity
		A.3 State Level Analysis of Inequality in Coverage
	B Further Insights
	References
Short Papers
Deception Detection with Feature-Augmentation by Soft Domain Transfer
	1 Introduction
	2 Related Works
	3 Dataset
	4 Methodology
	5 Results and Discussion
	6 Conclusion and Future Work
	References
User-Based Stance Analysis for Mitigating the Impact of Social Bots on Measuring Public Opinion with Stance Detection in Twitter
	1 Introduction
	2 Background and Related Work
		2.1 Social Bots
		2.2 Stance Detection
	3 Data Collection and Classification
	4 Analysis and Discussion
	5 Conclusion
	A Appendix: Data Collection
	References
`You Are Big, S/he Is Small\' Detecting Body Shaming in Online User Content
	1 Introduction
	2 Dataset
		2.1 Ethical Concerns
	3 Benchmark Models
		3.1 GAN-BERT
		3.2 Transformer Based, Traditional ML, DL Models
	4 Results
	5 Conclusion
	References
Unpacking Gender Stereotypes in Film Dialogue
	1 Introduction
	2 Empirical Setup
		2.1 Data
		2.2 Feature Extraction
		2.3 Model Specifications
	3 Results and Discussion
	References
Nostalgic Analysis of Location Based Tweets
	1 Introduction
	2 Related Work
	3 Dataset and Methods
	4 Results
		4.1 What Do the Nostalgic Tweets Mention
		4.2 Time Entity Analysis
		4.3 Location Entity Analysis
		4.4 Geo-location Analysis
	5 Discussion
	References
OMGMO: Original Multi-modal Dataset of Genetically Modified Organisms in African Agriculture
	1 Introduction
	2 Multi-modal Datasets
		2.1 Crop Data
		2.2 Financial Data
		2.3 Media Data
	3 Discussion
	4 Conclusion and Future Work
	Appendix
	References
Changes in Policy Preferences in German Tweets During the COVID Pandemic
	1 Introduction
	2 Related Work
	3 Training Data Set
	4 Evaluation of Policy Preference Predictors
	5 Policy Preferences After COVID Lockdown
	6 Conclusion
	References
Bullying in Online Brand Communities-Exploring Consumers’ Intentions to Intervene 
	1 Introduction
	2 Method
	3 Results
	References
Late-Breaking Papers
Towards an Expectation-Oriented Model of Public Service Quality: A Preliminary Study of NYC 311
	1 Introduction
	2 Related Work
		2.1 Civic Technology and Inequality
		2.2 User Satisfaction Measurements
		2.3 Expectancy-Disconfirmation Model (EDM) of User Satisfaction
	3 Proposed Model and Analysis Method
	4 Preliminary Results
		4.1 Service Quality and Socioeconomic Status
		4.2 Revealing Inequality in Public Service Delivery
		4.3 Assessing General Public Service Quality Across Departments
	5 Discussion and Future Work
	A Example Comparisons Between Execution Time and Quality score
	B Comparison Between Aggregated Execution Time and Aggregated Quality Score
	References
A Heterophily-Based Polarization Measure for Multi-community Networks
	1 Introduction
	2 Polarization Metrics in the Literature
	3 Cross-community Affinity: A Heterophily-Based Polarization Metric
	4 Empirical Evaluation
		4.1 Datasets
		4.2 Cross-community Affinity in the Polblogs Network
		4.3 Cross-community Affinity in the White Helmets Twitter Interaction Network
		4.4 Cross-community Affinity in the VoterFraud2020 Domain Network
		4.5 Comparision with Exisiting Polarization Metrics
	5 Summary
	Appendix A  Additional Materials
		A.1  Edge Distribution of VoterFraud2020 Domain Network
		A.2  Visual Representation of Datasets
		A.3  Scenarios of Network for CCA Calculation
		A.4  Ideological Distance for Five Communities
		A.5  Relabelling VoterFraud2020 Domain Network
	References
Decoding Demographic un-fairness from Indian Names
	1 Introduction
	2 Related Work
	3 Datasets
	4 Methodology
		4.1 Classification Models
	5 Experimental Setup
	6 Results
	7 Decoding Unfairness Across Gender and Caste Lines
		7.1 Impact of Social Bias on Education
		7.2 Impact of Social Bias on Online Media and Web Representation
	8 Conclusion and Future Work
	A Appendix
		A.1 Dataset Statistics
		A.2 Baseline APIs and Models
		A.3 Model Description
		A.4 Results
		A.5 Error Analysis - Baseline APIs vs Our Models
		A.6 Case Studies - Values of Median Percentile
		A.7 Case Studies - State Wise Results
		A.8 Distribution of Caste and Gender in Koo
		A.9 Ethical Implications
	References
Mitigating Harmful Content on Social Media Using an Interactive User Interface
	1 Introduction
	2 Related Work
		2.1 Online Harm
		2.2 Interactive User Interface
		2.3 Theoretical Background
	3 Methodology
		3.1 Data Collection
		3.2 Data Analysis
		3.3 Design of Interactive User Interface
		3.4 User Study
	4 Results
	5 Discussion
	6 Conclusion and Future Work
	References
Author Index