Ad Accountability Online: A methodological approach

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

Recent attention paid to 'dark patterns' in online marketing has yet to engage with the most prevalent forms of ad targeting online. The dominant model we have chosen for supporting the online information environment is based on data-driven targeted advertising. These targeted ads are 'dark' in the sense that they are visible only to those to whom they are directed, which poses challenges for public accountability. Their sheer quantity is matched by their ephemerality. They are also 'dark' in the sense that the overall pattern of their delivery is invisible. Not only can we not see the ads directed to others, but we cannot see who else is being targeted the way we are. These 'dark patterns' raise three sets of social concerns about discrimination and socially detrimental forms of messaging. First, dark patterns of advertising can reproduce historical forms of discrimination against protected groups. Second, they may enable …
Original languageEnglish
Title of host publicationEveryday Automation
Subtitle of host publicationExperiencing and Anticipating Emerging Technologies
EditorsSarah Pink, Martin Berg, Deborah Lupton, Minna Ruckenstein
Place of PublicationAbingdon Oxon UK
PublisherRoutledge
Chapter14
Pages213-225
Number of pages13
Edition1st
ISBN (Electronic)9781003170884
ISBN (Print)9780367773380, 9780367773403
DOIs
Publication statusPublished - 10 May 2022

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