Tesary Lin https://tesarylin.github.io/ Recent content on Tesary Lin Hugo -- 0.128.2 en Sat, 27 Dec 2025 00:00:00 +0000 Recommended Tools for Research Productivity https://tesarylin.github.io/resources/tools/ Tue, 24 Dec 2024 00:00:00 +0000 https://tesarylin.github.io/resources/tools/ Tools I have settled on or am tinkering with (updated every sometimes). Designing Consent: Choice Architecture and Consumer Welfare in Data Sharing https://tesarylin.github.io/research/dark-pattern/ Sat, 13 Jul 2024 00:00:00 +0000 https://tesarylin.github.io/research/dark-pattern/ Our field experiment shows that choice friction dominate user preferences in online data sharing; browser-level privacy controls improve welfare 150% more than banning manipulative consent designs. 📖 Working paper Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing https://tesarylin.github.io/research/msi/ Thu, 30 May 2024 00:00:00 +0000 https://tesarylin.github.io/research/msi/ A joint position paper based on our prior research findings related to privacy and data regulations. 📘 Accepted: Marketing Science COPPAcalypse? The YouTube Settlement’s Impact on Kids Content https://tesarylin.github.io/research/coppacalypse/ Thu, 21 Mar 2024 00:00:00 +0000 https://tesarylin.github.io/research/coppacalypse/ A COPPA settlement targeting YouTube led to a 13% reduction in YouTube’s made-for-kids content; demand responded by concentrating on popular channels. 📚 Accepted: Management Science Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data https://tesarylin.github.io/research/choicearch-bias/ Wed, 26 Apr 2023 00:00:00 +0000 https://tesarylin.github.io/research/choicearch-bias/ Should companies focus on maximizing consent rates when designing their cookie banners? We show that such practice can exacerbate sample bias in certain situations, and propose a better alternative. 📚 Published: Marketing Science Valuing Intrinsic and Instrumental Preferences for Privacy https://tesarylin.github.io/research/dual-preference/ Fri, 13 May 2022 00:00:00 +0000 https://tesarylin.github.io/research/dual-preference/ Why are privacy preferences contextual? This paper empirically identifies intrinsic and instrumental preferences for privacy as a way to explain privacy’s context dependence. 📚Published: Marketing Science Frontiers: Identity Fragmentation Bias https://tesarylin.github.io/research/fragmentation/ Thu, 24 Mar 2022 00:00:00 +0000 https://tesarylin.github.io/research/fragmentation/ Cookies have been crumbling long before the hammer of Privacy Sandbox strikes. This is bad for measurement and inference, but not necessarily in the way you expect. 📚 Published: Marketing Science Students Interested in Getting a Recommendation Letter https://tesarylin.github.io/resources/letter/ Sun, 10 Mar 2024 00:00:00 +0000 https://tesarylin.github.io/resources/letter/ I am happy to provide a recommendation letter to help you succeed if certain conditions are satisfied. I use these criteria to make sure I can write strong and informative letters for students that I recommend. Digital Marketing Analytics https://tesarylin.github.io/teaching/digital/ Fri, 10 Mar 2023 00:00:00 +0000 https://tesarylin.github.io/teaching/digital/ My course on analytics in digital marketing, taught at both the undergraduate and the graduate levels.