helpResearch questionData Governance Explanation, Trust, and Experience Impact
How do layoffs and professional instability in the trust and safety (T&S) industry affect practitioners' mental health and career development?Direction: Privacy, Security, and Identity
Data Governance Explanation, Trust, and Experience Impact
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20 items
helpResearch questionData Governance Explanation, Trust, and Experience Impact
What public and legislative misconceptions exist about content moderation work, and how do they affect T&S industry development?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How can the T&S field address existing challenges through professionalization and transparency to achieve future online safety goals?lightbulbPractical problemData Governance Explanation, Trust, and Experience Impact
Public misconceptions and negative perceptions of content moderation lead to declining trust in digital platforms.helpResearch questionData Governance Explanation, Trust, and Experience Impact
How can community-driven data access mechanisms on social media platforms improve research ethics and transparency?CSCW '24Community-Driven Models for Research on Social Platforms
helpResearch questionData Governance Explanation, Trust, and Experience Impact
How can a data sharing model be designed that meets user privacy protection while supporting academic research?CSCW '24Community-Driven Models for Research on Social Platforms
helpResearch questionData Governance Explanation, Trust, and Experience Impact
Can community participation and evaluation mechanisms in data access approval balance academic needs and user rights?CSCW '24Community-Driven Models for Research on Social Platforms
lightbulbPractical problemData Governance Explanation, Trust, and Experience Impact
Research data access on social platforms is difficult; privacy and ethics issues are severe.CSCW '24Community-Driven Models for Research on Social Platforms
helpResearch questionData Governance Explanation, Trust, and Experience Impact
What factors influence users' acceptance of electrical muscle stimulation (EMS) technology?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How do different application scenarios of EMS technology affect users' trust and anxiety levels?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How do users perceive design requirements for EMS technology regarding safety, social acceptance, and technical transparency?lightbulbPractical problemData Governance Explanation, Trust, and Experience Impact
Users have concerns about safety and social acceptance of technologies that directly control the body, such as EMS.helpResearch questionData Governance Explanation, Trust, and Experience Impact
How do users view data collection and privacy issues in quantified buildings (building environments that collect and analyze data)?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How do data presentation and availability in quantified buildings affect users' experience and satisfaction?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How do users trade off data privacy and usability in quantified buildings?lightbulbPractical problemData Governance Explanation, Trust, and Experience Impact
Employees feel confused and uneasy about data use in quantified buildings.helpResearch questionData Governance Explanation, Trust, and Experience Impact
How can the affirmative consent framework be used to understand and optimize interaction problems on social platforms?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How can the five principles of affirmative consent be effectively applied to reduce privacy violations or harassment on social media?helpResearch questionData Governance Explanation, Trust, and Experience Impact
How can interaction features designed according to affirmative consent principles improve users' content control and autonomy?lightbulbPractical problemData Governance Explanation, Trust, and Experience Impact
Users frequently encounter privacy violations, harassment, or non-consensual content sharing on social platforms.Related papers
CHI 2025
The End of “Trust and Safety”?: Examining the Future of Content Moderation and Upheavals in Professional Online Safety Efforts
Rachel Elizabeth Moran, Joseph S. Schafer, Mert Bayar
CHI 2024
Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer Interaction
Sarah Faltaous, Julie R. Williamson, Marion Koelle
CHI 2023
Understanding Occupants’ Experiences in Quantified Buildings: Results from a Series of Exploratory Studies
Eleni Margariti, Vasilis Vlachokyriakos, David Kirk
CHI 2021
Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms
Jane Im, Jill Dimond, Melody Berton
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