TY - GEN
T1 - When and Why Do People Want Ad Targeting Explanations? Evidence from a Four-Week, Mixed-Methods Field Study
AU - Lee, Hao Ping Hank
AU - Logas, Jacob
AU - Yang, Stephanie
AU - Li, Zhouyu
AU - Barbosa, Natã
AU - Wang, Yang
AU - Das, Sauvik
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Many people are concerned about how their personal data is used for online behavioral advertising (OBA). Ad targeting explanations have been proposed as a way to reduce this concern by improving transparency. However, it is unclear when and why people might want ad targeting explanations. Without this insight, we run the risk of designing explanations that do not address real concerns. To bridge this gap, we conducted a four-week, mixed-methods field study with 60 participants to understand when and why people want targeting explanations for the ads they actually encountered while browsing the web. We found that users wanted explanations for around 30% of the 4,251 ads we asked them about during the study, and that subjective perceptions of how their personal data was collected and shared were highly correlated with when users wanted ad explanations. Often, users wanted these explanations to confirm or deny their own preconceptions about how their data was collected or the motives of advertisers. A key upshot of our work is that one-size-fits-all approaches to ad explanations are likely to fail at addressing people's lived concerns about ad targeting; instead, more personalized explanations are needed.
AB - Many people are concerned about how their personal data is used for online behavioral advertising (OBA). Ad targeting explanations have been proposed as a way to reduce this concern by improving transparency. However, it is unclear when and why people might want ad targeting explanations. Without this insight, we run the risk of designing explanations that do not address real concerns. To bridge this gap, we conducted a four-week, mixed-methods field study with 60 participants to understand when and why people want targeting explanations for the ads they actually encountered while browsing the web. We found that users wanted explanations for around 30% of the 4,251 ads we asked them about during the study, and that subjective perceptions of how their personal data was collected and shared were highly correlated with when users wanted ad explanations. Often, users wanted these explanations to confirm or deny their own preconceptions about how their data was collected or the motives of advertisers. A key upshot of our work is that one-size-fits-all approaches to ad explanations are likely to fail at addressing people's lived concerns about ad targeting; instead, more personalized explanations are needed.
KW - experience-sampling
KW - explainable-AI
KW - online-behavioral-advertising
KW - semi-structured-interview
KW - transparency
UR - http://www.scopus.com/inward/record.url?scp=85160005095&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85160005095&partnerID=8YFLogxK
U2 - 10.1109/SP46215.2023.10179452
DO - 10.1109/SP46215.2023.10179452
M3 - Conference contribution
AN - SCOPUS:85160005095
T3 - Proceedings - IEEE Symposium on Security and Privacy
SP - 2903
EP - 2920
BT - Proceedings - 44th IEEE Symposium on Security and Privacy, SP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th IEEE Symposium on Security and Privacy, SP 2023
Y2 - 22 May 2023 through 25 May 2023
ER -