Comparing user behavior when targeted based on firm inferred interest vs. user stated interest

Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, February, 2021

Bibliographic Details
Main Author: Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.
Other Authors: Sinan Aral.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2021
Subjects:
Online Access:https://hdl.handle.net/1721.1/130735
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author Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.
author2 Sinan Aral.
author_facet Sinan Aral.
Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.
author_sort Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.
collection MIT
description Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, February, 2021
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institution Massachusetts Institute of Technology
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last_indexed 2025-02-19T04:17:52Z
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spelling mit-1721.1/1307352024-10-17T17:35:18Z Comparing user behavior when targeted based on firm inferred interest vs. user stated interest Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology. Sinan Aral. Sloan School of Management. Sloan School of Management Sloan School of Management. Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, February, 2021 Cataloged from the official PDF version of thesis. Includes bibliographical references (pages 41-42). There has been a lot of discussions on giving user more control over their private information. Our paper wants to show how practices that give user more control over privacy, could facilitate collection of self-stated interest from voluntary users. This might potentially help firms to better understand users' true interests. The paper investigates the short run and long run impact of adopting the user stated interest into ad targeting, compared with targeting using firm inferred user interest. It also explores the side effects on user's overall app engagement and the possible mechanisms that associate users' action of stating interest with impact on their interest in ads and organic contents. Results show that on average users get more interested in ads immediately after the ad targeting adopts user stated interest categories. In the long run, however, not only does the effect diminish quickly, but there is also a lasting and significantly negative effect on users' overall app engagement, possibly because both organic content and ad targeting use the same user profile. by Yiqun Cao. S.M. in Management Research S.M. in Management Research Massachusetts Institute of Technology, Sloan School of Management 2021-05-24T19:53:23Z 2021-05-24T19:53:23Z 2021 2021 Thesis https://hdl.handle.net/1721.1/130735 1251804617 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 42 pages application/pdf Massachusetts Institute of Technology
spellingShingle Sloan School of Management.
Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.
Comparing user behavior when targeted based on firm inferred interest vs. user stated interest
title Comparing user behavior when targeted based on firm inferred interest vs. user stated interest
title_full Comparing user behavior when targeted based on firm inferred interest vs. user stated interest
title_fullStr Comparing user behavior when targeted based on firm inferred interest vs. user stated interest
title_full_unstemmed Comparing user behavior when targeted based on firm inferred interest vs. user stated interest
title_short Comparing user behavior when targeted based on firm inferred interest vs. user stated interest
title_sort comparing user behavior when targeted based on firm inferred interest vs user stated interest
topic Sloan School of Management.
url https://hdl.handle.net/1721.1/130735
work_keys_str_mv AT caoyiqunscientistinbusinessmanagementmassachusettsinstituteoftechnology comparinguserbehaviorwhentargetedbasedonfirminferredinterestvsuserstatedinterest