Is This An Ad? Automatically Disclosing Online Endorsements On YouTube With AdIntuition

要旨

Undisclosed online endorsements on social media can be misleading to users who may not know when viewed content contains advertisements. Despite federal regulations requiring content creators to disclose online endorsements, studies suggest that less than 10% do so in practice. To overcome this issue, we need knowledge of how to best detect online endorsements, knowledge about how prevalent online endorsements are in the wild, and ways to design systems to automatically disclose advertising content to viewers. To that end, we designed, implemented, and evaluated a tool called AdIntuition which automatically discloses when YouTube videos contain affiliate marketing, a type of social media endorsement. We evaluated AdIntuition with 783 users using a survey, field deployment, and diary study. We discuss our findings and recommendations for future measurements of and tools to detect and alert users about affiliate marketing content.

キーワード
social media
browser extension
advertisements
influencer
著者
Michael Swart
Princeton University, Princeton, NJ, USA
Ylana Lopez
Princeton University, Princeton, NJ, USA
Arunesh Mathur
Princeton University, Princeton, NJ, USA
Marshini Chetty
University of Chicago, Chicago, IL, USA
DOI

10.1145/3313831.3376178

論文URL

https://doi.org/10.1145/3313831.3376178

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Biases & the effects of interfaces

Paper session
316B MAUI
5 件の発表
2020-04-28 01:00:00
2020-04-28 02:15:00
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