University community members split between reflecting on past events or recording today's experiences as future history when contributing to collective memory, yielding design considerations for community platforms.
The privacy paradox – Investigating discrepancies between expressed privacy concerns and actual online behavior – A systematic literature review
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
Metagente is an LLM multi-agent system using Teacher-Student collaboration that outperforms baselines on real-world software documentation summarization for requirements analysis and technical docs.
Privacy self-efficacy is the strongest predictor of protective behaviors among youth using smart voice assistants, fully mediating algorithmic transparency and trust effects.
citing papers explorer
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Automated Summarization of Software Documents: An LLM-based Multi-Agent Approach
Metagente is an LLM multi-agent system using Teacher-Student collaboration that outperforms baselines on real-world software documentation summarization for requirements analysis and technical docs.
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Privacy by Voice: Modeling Youth Privacy-Protective Behavior in Smart Voice Assistants
Privacy self-efficacy is the strongest predictor of protective behaviors among youth using smart voice assistants, fully mediating algorithmic transparency and trust effects.
- The Privacy Placebo: Diagnosing Consent Burden through Performative Scrolling