Deciding on Personalized Ads: Nudging Developers About User Privacy

on YouTube ↗05m

" summary

An online between-subjects survey experiment with 400 developers tests six dashboard framings (Control, CCPA-like, GDPR-like, user-facing description, privacy-focused condition, revenue-focused and privacy-vs-revenue) by walking participants through a mock Acme ad-network setup that exports code. Presentation of privacy consequences increases selection of non-personalized ads: the privacy-focused framing makes non-personalized choices about 11.06 times more likely than Control. Results show concrete interface wording and API/sample-code cues change developer choices about ad personalization and revenue trade-offs.

AI-written summary · about

" chapters (6)

1. 0:00Intro
2. 0:32Why Ad Networks
3. 1:02Developer Options
4. 1:30Research Questions
5. 1:59Experiment
6. 4:40Conclusion

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