Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences
Authors
Automated Driving Interface & Takeover DesignSocial Platform Design & User BehaviorSoftware Engineers & DevelopersPrivacy Policy MakersHCI Researchers
Title of the Paper
Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences
Paper Information
- Research Area: Study of distress disclosure behavior on social media
- Keywords: social media, self-disclosure, stress, mental health, media affordances, social networks
Research Background and Problem
- Identified Issues or Challenges:
- During the COVID-19 pandemic, distress disclosure behavior on social media significantly increased, yet there is limited research on how platforms, affordances, and audiences collectively influence such behavior.
- Social media affordances (e.g., anonymity, information persistence, and visibility control) may interact with individual and contextual factors, but current understanding of these interactions is limited.
- Significance:
- Understanding how and why people share negative emotions and experiences on social media is crucial for promoting mental health support, especially during global crises.
- Research Motivation and Related Work:
- Existing studies primarily focus on disclosure behavior on a single platform or specific types of negative experiences (e.g., depression, sexual abuse). Few studies comprehensively examine distress disclosure behavior across multiple platforms, affordances, and audience contexts.
- This study aims to fill this research gap by exploring how contextual and non-contextual factors jointly influence disclosure depth and satisfaction from an ecological perspective.
Proposed Solution
- Proposed Methods or Solutions:
- This study introduces the concept of "social media disclosure ecology," combining affordance theory with contextual privacy and self-disclosure theory to comprehensively examine the relationships between platforms, affordances, audiences, and disclosure behavior.
- Innovations:
- Integrates ecological and affordance perspectives to highlight cross-platform user behavior patterns and the importance of multi-level factors in disclosure decisions.
- Goes beyond focusing on individual affordance elements to explore interactions between affordances, as well as between affordances and audience or personal factors.
- Implementation Steps and Techniques:
- Collected survey data from 470 U.S. adults to examine their distress disclosure behavior across 17 platforms.
- Measured platform affordances (anonymity, information persistence, visibility control) and audience characteristics (relationship intimacy, size).
- Used multiple regression analysis and mediation effects to reveal the relationships between affordances, disclosure depth, and satisfaction.
- Conducted interaction effect analysis to explore how affordances and individual characteristics jointly predict disclosure behavior.
Research Findings
- Specific Findings:
- Platform affordances have a significant positive impact on disclosure depth, particularly anonymity, information persistence, and visibility control.
- Disclosure depth is significantly influenced by the intimacy of the relationship with the audience, but audience size has no significant effect.
- The number of COVID-19-related stressors has a weaker impact on disclosure depth.
- Interaction effects exist between platform affordances and relationship intimacy; for example, high visibility control combined with intimate relationships leads to deeper disclosure.
- Satisfaction after disclosure is directly influenced by disclosure depth, while affordances (e.g., content persistence, anonymity, and visibility control) have an indirect effect on satisfaction.
- Advantages:
- Reveals the complex dynamics of disclosure behavior through an ecological perspective, focusing not only on individual factors but also on the interactions between multiple factors.
- Provides concrete recommendations for social media design to enhance user mental health support experiences.
- Experimental or Evaluation Results:
- Analysis shows that perceived affordances, audience intimacy, and disclosure tendencies are key factors influencing disclosure behavior and satisfaction.
- Regression models indicate that contextual and non-contextual factors collectively explain 46% of the variance in disclosure depth.
- Limitations and Future Directions:
- Self-reported data may be subject to recall bias and social desirability bias; future studies could incorporate behavioral tracking for validation.
- This study is cross-sectional and cannot capture long-term changes or evolution in disclosure behavior.
- Focused only on the U.S. context; future research should conduct cross-cultural studies to verify the generalizability of the findings.
- Limited to examining three affordances; future studies could explore the impact of other affordances (e.g., network connectivity, information visibility) on disclosure behavior.
Research Questions / Practical Problems
Question signals indexed for this paper.
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Research Questions
3- During the pandemic, how did design features of different social media platforms (e.g., anonymity, information persistence, visibility control) affect depth of users' emotional disclosure?Category: Privacy-Enhancing TechnologiesSimilar questionsarrow_forward
- In emotional disclosure, how does closeness between users and audiences interact with platform features to affect disclosure behavior?Category: Privacy-Enhancing TechnologiesSimilar questionsarrow_forward
- Which factors affect users' satisfaction after sharing emotions on social media?Category: Privacy-Enhancing TechnologiesSimilar questionsarrow_forward
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Practical Problems
1- Users do not know how to share negative emotions on social media safely and productively.Category: Privacy-Enhancing TechnologiesSimilar questionsarrow_forward
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DOI: https://doi.org/10.1145/3411764.3445134
At a Glance
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Source
CHI
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Year
2021
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Authors
3 authors
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Subtopics
Automated Driving Interface & Takeover Design, Social Platform Design & User Behavior
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Professions
Software Engineers & Developers, Privacy Policy Makers, HCI Researchers
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