Evidence map›Paper›PMID 34330948›Full record

ArticleScientific reports2021

Boosting people's ability to detect microtargeted advertising.

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

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Blinding to Circumvent Human Biases: Deliberate Ignorance in Humans, Institutions, and Machines.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  5. Challenges in Understanding Human-Algorithm Entanglement During Online Information Consumption.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Quantifying the potential persuasive returns to political microtargeting.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Philipp Lorenz-Spreen *Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. lorenz-spreen@mpib-berlin.mpg.de.
Michael GeersCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Thorsten PachurCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Ralph HertwigCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Stephan LewandowskySchool of Psychological Science and Cabot Institute, University of Bristol, Bristol, UK.
Stefan M Herzog *Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID34330948
PMCPMC8324838

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.