research-article

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media

Authors:

Nicholas Vincent,

Farhan Asif Chowdhury,

Leonardo Neves,

Maarten W. BosAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 581, Pages 1 - 18

https://doi.org/10.1145/3411764.3445394

Published: 07 May 2021 Publication History

Abstract

Showing ads delivers revenue for online content distributors, but ad exposure can compromise user experience and cause user fatigue and frustration. Correctly balancing ads with other content is imperative. Currently, ad allocation relies primarily on demographics and inferred user interests, which are treated as static features and can be privacy-intrusive. This paper uses person-centric and momentary context features to understand optimal ad-timing. In a quasi-experimental study on a three-month longitudinal dataset of 100K Snapchat users, we find ad timing influences ad effectiveness. We draw insights on the relationship between ad effectiveness and momentary behaviors such as duration, interactivity, and interaction diversity. We simulate ad reallocation, finding that our study-driven insights lead to greater value for the platform. This work advances our understanding of ad consumption and bears implications for designing responsible ad allocation systems, improving both user and platform outcomes. We discuss privacy-preserving components and ethical implications of our work.

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Cited By

Jhaver SRathi HSaha K(2024)Bystanders of Online Moderation: Examining the Effects of Witnessing Post-Removal ExplanationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642204(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642204
Gómez-Zará DLiu YNeves LShah NBos M(2024)Unpacking the exploration–exploitation tradeoff on SnapchatComputers in Human Behavior10.1016/j.chb.2023.108014150:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.chb.2023.108014
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Index Terms

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

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Tohoku University, Japan
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University of New South Wales, Australia
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University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
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University of Copenhagen, Denmark
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Cited By

Jhaver SRathi HSaha K(2024)Bystanders of Online Moderation: Examining the Effects of Witnessing Post-Removal ExplanationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642204(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642204
Gómez-Zará DLiu YNeves LShah NBos M(2024)Unpacking the exploration–exploitation tradeoff on SnapchatComputers in Human Behavior10.1016/j.chb.2023.108014150:COnline publication date: 1-Feb-2024
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