Framing Data Choices: How Pre-Donation Exploration Designs Influence Data Donation Behavior and Decision-Making
Zeya Chen, Zach Pino, Ruth Schmidt

TL;DR
This study investigates how different pre-donation data exploration designs influence user participation and decision-making in data donation, highlighting the importance of framing in encouraging donation behavior.
Contribution
It introduces and evaluates three data exploration interventions, revealing how framing impacts donation rates and user perceptions in a real-world setting.
Findings
Social comparison framing increased donation participation to 87.5%.
Self-focused view framing resulted in 62.5% participation.
Collective-only framing caused confusion and privacy concerns.
Abstract
Data donation, an emerging user-centric data collection method for public sector research, faces a gap between participant willingness and actual donation. This suggests a design absence in practice: while promoted as "donor-centered" with technical and regulational advances, a design perspective on how data choices are presented and intervene on individual behaviors remain underexplored. In this paper, we focus on pre-donation data exploration, a key stage for adequately and meaningful informed participation. Through a real-world data donation study (N=24), we evaluated three data exploration interventions (self-focused, social comparison, collective-only). Findings show choice framing impacts donation participation. The "social comparison" design (87.5%) outperformed the "self-focused view" (62.5%) while a "collective-only" frame (37.5%) backfired, causing "perspective confusion" and…
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