Help Converts Newcomers, Not Veterans: Generalized Reciprocity and Platform Engagement on Stack Overflow
Lenard Strahringer, Sven Eric Pr\"u{\ss}, Kai Riemer

TL;DR
This study empirically demonstrates that generalized reciprocity on Stack Overflow mainly motivates newcomers to help, with effects diminishing as users gain experience, and highlights the importance of timely responses within an hour.
Contribution
It introduces a novel matched difference-in-differences survival analysis method to accurately measure reciprocity effects in large-scale online data.
Findings
Receiving answers increases newcomers' likelihood to help others.
Reciprocity effect declines as users gain platform experience.
Timely responses within 30-60 minutes maximize reciprocity impact.
Abstract
Generalized reciprocity -- the tendency to help others after receiving help oneself -- is widely theorized as a mechanism sustaining cooperation on online knowledge-sharing platforms. Yet robust empirical evidence from field settings remains surprisingly scarce. Prior studies relying on survey self-reports struggle to distinguish reciprocity from other prosocial motives, while observational designs confound reciprocity with baseline user activity, producing upward-biased estimates. We address these empirical challenges by developing a matched difference-in-differences survival analysis that leverages the temporal structure of help-seeking and help-giving on Stack Overflow. Using Cox proportional hazards models on over 21 million questions, we find that receiving an answer significantly increases a user's propensity to help others, but this effect is concentrated among newcomers and…
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