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Boosting people’s ability to detect microtargeted advertising

Philipp Lorenz-Spreen, Michael Geers, Thorsten Pachur, Ralph Hertwig, Stephan Lewandowsky, Stefan M. Herzog

2021Scientific Reports60 citationsDOIOpen Access PDF

Abstract

Online platforms' data give advertisers the ability to "microtarget" recipients' personal vulnerabilities by tailoring different messages for the same thing, such as a product or political candidate. One possible response is to raise awareness for and resilience against such manipulative strategies through psychological inoculation. Two online experiments (total [Formula: see text]) demonstrated that a short, simple intervention prompting participants to reflect on an attribute of their own personality-by completing a short personality questionnaire-boosted their ability to accurately identify ads that were targeted at them by up to 26 percentage points. Accuracy increased even without personalized feedback, but merely providing a description of the targeted personality dimension did not improve accuracy. We argue that such a "boosting approach," which here aims to improve people's competence to detect manipulative strategies themselves, should be part of a policy mix aiming to increase platforms' transparency and user autonomy.

Topics & Concepts

Boosting (machine learning)PersonalityComputer scienceTransparency (behavior)Machine learningCompetence (human resources)AutonomyArtificial intelligencePsychologySocial psychologyComputer securityPolitical scienceLawHate Speech and Cyberbullying DetectionMisinformation and Its ImpactsPsychology of Moral and Emotional Judgment
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