Many Islands, Many Problems: An Empirical Examination of Online Safety Behaviors in the Caribbean
Privacy Perception & Decision-MakingOnline Harassment & Counter-ToolsSocial WorkersPrivacy Policy MakersContent Governance & Platform Compliance Teams
Title of the Paper
Many Islands, Many Problems: An Empirical Examination of Online Safety Behaviors in the Caribbean
Bibliographic Information
- Subject Area: Human-Computer Interaction (HCI), Online Safety Behaviors
- Keywords: Online Safety, Social Media, Protection Motivation Theory (PMT), Caribbean Region, Survey
Research Background and Issues
-
Identified Problems and Challenges:
- There is currently a lack of research on the online safety behaviors of non-Western social media users, particularly regarding how they address threats to privacy, real-name policies, security, and mental health.
- As a culturally diverse region, the Caribbean faces complex online risks and real-world consequences, which have not been comprehensively studied.
- Existing safety designs and protective mechanisms are largely based on Western cultural frameworks and fail to adequately consider the needs of users in the Caribbean.
-
Significance of the Research:
- Digital platforms offer convenience but also give rise to widespread online harms, including data breaches, harassment, and misinformation dissemination.
- Research on online safety needs to be adapted to the cultural and historical contexts of different regions to meet diverse needs.
-
Research Motivation and Related Work:
- This study leverages Protection Motivation Theory (PMT) and survey data from Caribbean users to explore their perceptions of threat severity, vulnerability, and motivations for protective behaviors.
- Data collection spans 15 English-speaking countries, using surveys and Structural Equation Modeling (SEM) to clarify user behavior patterns.
Proposed Solution
-
Proposed Methodology:
- Develop a conceptual framework based on Protection Motivation Theory (PMT), encompassing threat assessment, coping ability, and user behavioral intentions.
- Combine survey data and Structural Equation Modeling to uncover the relationships between online safety threats, user evaluations, and behaviors.
-
Innovations:
- This is the first cross-regional study on online safety in the Caribbean.
- Analyzes differences in safety perceptions across countries and incorporates expert interviews to provide culturally contextualized solutions.
-
Implementation Steps and Key Techniques:
- Data Collection:
- Recruited 551 participants from 15 Caribbean countries to ensure sample diversity.
- Distributed online surveys covering metrics such as threat experiences, perceived severity, vulnerability, and behavioral intentions.
- Data Processing:
- Validated the effectiveness and reliability of measurement scales using multiple instruments.
- Modeling and Analysis:
- Employed Structural Equation Modeling (SEM) to test causal relationships in online safety behavior motivations under the Protection Motivation Theory framework.
- Data Collection:
Research Findings
-
Specific Findings:
- In the Caribbean, 92% of participants reported experiencing online threats, including personal information breaches, harassment, and risks transitioning from online to offline.
- "Information access and leakage" emerged as the most prevalent and severe threat category, with users most acutely perceiving their vulnerability to such risks.
- Trust in social media platforms significantly influenced behavioral intentions, particularly in relation to harassment-related threats.
- Significant differences were observed between countries. For instance, users in Saint Lucia exhibited stronger risk perceptions, while users in Trinidad and Tobago reported lower rates of threat experiences.
-
Comparison with Existing Solutions:
- This study transcends the isolated perspectives of existing online safety research by providing a multidimensional analytical framework.
- It highlights the needs of non-Western regions, particularly the Caribbean, offering case-specific guidance for improving social media safety tool design and policy development.
-
Experimental and Evaluation Results:
- Validated the logical chain of Protection Motivation Theory (PMT): threat experiences influence threat evaluations, which in turn affect behavioral intentions.
- Quantified the impact of influencing factors through the model and found that users tend to rely on safety tools that intuitively demonstrate effectiveness.
-
Limitations and Future Directions:
- The survey primarily focused on behavioral intentions; future studies could conduct longitudinal research to track actual behavioral changes.
- The recruitment method may have introduced sample bias; future research could explore broader regions and languages, such as Cuba and Puerto Rico.
- Proposed the design of more culturally sensitive and localized safety technologies and the strengthening of legislative protections in the Caribbean.
This study enables academics and technology developers to address the online safety needs of non-Western regions, fostering more human-centered and regionally tailored design practices and policy governance.
Research Questions / Practical Problems
Question signals indexed for this paper.
help
Research Questions
3- What major online safety threats do Caribbean users face when using social media?Category: Privacy and Digital Security for Marginalized Identity GroupsSimilar questionsarrow_forward
- How do perceived threat severity and vulnerability affect users' protective behaviors?Category: Privacy and Digital Security for Marginalized Identity GroupsSimilar questionsarrow_forward
- How can online safety design and policy be customized to better fit the Caribbean cultural context?Category: Privacy and Digital Security for Marginalized Identity GroupsSimilar questionsarrow_forward
lightbulb
Practical Problems
1- Caribbean users struggle to find targeted safety protections on social media.Category: Privacy and Digital Security for Marginalized Identity GroupsSimilar questionsarrow_forward
Based on Jaccard similarity of research subtopics & professions (≥60%)
Quick Actions
AdRecommended
Learn AI Coding at CodeNow
open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3517643
At a Glance
fact_checkPaper Snapshot
dataset
Source
CHI
calendar_month
Year
2022
emoji_events
Award
No award tagged
group
Authors
2 authors
sell
Subtopics
Privacy Perception & Decision-Making, Online Harassment & Counter-Tools
work
Professions
Social Workers, Privacy Policy Makers, Content Governance & Platform Compliance Teams
article
Content Status
Full text indexed
hub
Related Papers
1 related papers