Disclosure as a Remedy

Disclosure as a Remedy

Reviewed by Faisal Zaidi

Disclosure as a remedy is the standing assumption that labelling a thing cures the problem of it. It is the most reached-for instrument in consumer and technology policy and among the worst evidenced, which is not a fringe view but the conclusion of a sustained scholarly literature. In the native advertising case the assumption fails twice over, because the label goes unseen nine times in ten, and because when it is seen the cost lands on the publisher as well as on the brand.

What it is

Omri Ben-Shahar and Carl Schneider surveyed the empirical record on mandated disclosure and concluded that it rarely works, because the chain requires lawmakers, disclosers and disclosees each to perform a demanding role well. Their findings are that most people find disclosures complex, obscure and dull, that people choose by stripping information away rather than layering it on, that so many disclosures are now mandated that nobody could heed them all, and that plainer language cannot fix what is inherently complex. Their sharpest point is about the regulator rather than the consumer, that disclosure is a lawmakers' panacea chosen because it is cheap and looks like action. Lilian Edwards and Michael Veale give the algorithmic version of the same objection and call the search for an explanation at best distracting and at worst a new transparency fallacy.

In effect

The sponsorship literature supplies the clearest demonstration of the failure mode. Eva van Reijmersdal and colleagues recruited 206 participants and analysed the 133 who correctly recalled whether a disclosure was present, and in the total sample the disclosure did not activate conceptual persuasion knowledge at all, working only among the people who remembered seeing it. The same study found two mechanisms running in opposite directions, so a label makes a reader distrust the brand and simultaneously makes the publisher look honest, and the net sign depends on which is stronger. Anocha Aribarg and Eric M. Schwartz then measured the commercial incentive in the field, finding that advertisers can increase clicks by making disclosures less prominent while remaining minimally compliant with regulatory guidance.

What it does not say

It does not say labels never do anything. In the only nationally representative test of the question in reach, readers reported being most receptive to native advertising where publishers were transparent about its commercial nature, and that pro-disclosure finding belongs alongside the trust cost rather than instead of it. It also does not say disclosure fails at everything, because the accountability case, in which a mandate produces a public record that journalists, litigants and regulators can use whether or not any consumer reads it, is not measured by the behaviour-change studies at all. And the calorie-labelling evidence often cited on both sides was reached in this vault through search summaries rather than primary texts, so no figure from it is printed here.


Sources

  1. Ben-Shahar, O., & Schneider, C. E. (2014). More Than You Wanted to Know: The Failure of Mandated Disclosure. Princeton University Press. Grew out of Ben-Shahar & Schneider (2011), "The Failure of Mandated Disclosure", University of Pennsylvania Law Review, 159, 647.
  2. Edwards, L., & Veale, M. (2017). "Slave to the Algorithm? Why a 'Right to an Explanation' Is Probably Not the Remedy You Are Looking For." Duke Law & Technology Review, 16, 18-84. The term transparency fallacy is theirs.
  3. Van Reijmersdal, E. A., Brussee, E., Evans, N. J., & Wojdynski, B. W. (2023). "Disclosure-Driven Recognition of Native Advertising: A Test of Two Competing Mechanisms." Journal of Interactive Advertising, 23(2), 85-97. doi:10.1080/15252019.2022.2146991. Full text read. 206 recruited, 133 analysed, being those who correctly recalled the presence or absence of the disclosure.
  4. Aribarg, A., & Schwartz, E. M. (2020). "Native Advertising in Online News: Trade-Offs Among Clicks, Brand Recognition, and Website Trustworthiness." Journal of Marketing Research, 57(1), 20-34. doi:10.1177/0022243719879711. Full text read. The second author is a minor investor in the newsletter that supplied the field data and declares it in the paper; printed here as a disclosure.
  5. Amazeen, M. A., & Wojdynski, B. W. (2019). "Reducing Native Advertising Deception." Mass Communication and Society, 22(2), 222-247. doi:10.1080/15205436.2018.1530792. The source of the finding that readers were most receptive where publishers were transparent.