The effects of online disclosure about personalised pricing on consumers

Julienne, Hannah; Barjaková, Martina; Robertson, Deirdre A.; Lunn, Pete

doi:10.1787/1ce1de63-en

Cited by 1 publication

(4 citation statements)

References 6 publications

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“…The term "dark (commercial) 1 patterns" refers to a wide variety of practices commonly found in online user interfaces that lead consumers to make choices that may not be in their best interests, including by exploiting consumer biases. They typically seek to get consumers to give up more money, personal data or attention time than desired.…”

Section: Executive Summarymentioning

confidence: 99%

“…by Mathur et al (2019[24])) can be employed. In some cases, this may mean developing the necessary in-house expertise or collaborating with researchers who have developed or can develop such tools, possibly in an opensource manner (OECD, 2021 [1]; Rosca et al, 2021 [190]). 57 Web-crawling may also have the advantage of avoiding potential biases from relying on consumer complaints or self-reported awareness (CMA, 2022 [31]).…”

Section: Gathering Evidence To Support Policy Making and Enforcement ...mentioning

confidence: 99%

“…Nonmonetary transactions often involve digital content products, including software, apps, videos, music, images, e-books, cloud computing, and social networking services, provided "free" in exchange for personal data and/or exposure to advertising. Non-monetary transactions can be part of more complex arrangements in which a basic service is provided free of charge, but "premium" versions with additional features are also offered against a payment ("freemium" models) (OECD, 2019 [1]). 3 According to Kahneman, Slovic and Tversky (1982 [231]), heuristics are the "shortcuts" that people use to reduce task complexity in judgment and choice, and biases are the resulting gaps between normative behaviour and the heuristically determined behaviour.…”

Section: Notesmentioning

confidence: 99%

“…The OECD Committee on Consumer Policy (CCP) has at various times conducted work on specific online commercial practices that have been classified as dark patterns. These include drip pricing, subscription traps, disguised advertisements and misleading data practices (OECD, 2019 [1]; OECD, 2019 [2]; OECD, 2019 [3]; OECD, 2019 [4]). The CCP has also raised awareness of the role of cognitive and behavioural biases with regard to such practices (OECD, 2018 [5]; OECD, 2010 [6]; OECD, 2017 [7]).…”

Section: Introductionmentioning

confidence: 99%

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Dark commercial patterns

2022

OECD Digital Economy Papers

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There is mounting concern that dark commercial patterns may cause substantial consumer detriment. These practices, which are commonly found in online user interfaces, steer, deceive, coerce, or manipulate consumers into making choices that often are not in their best interests. In light of the growing need to address dark commercial patterns comprehensively, the OECD Committee on Consumer Policy first held a roundtable on the topic in November 2020 (OECD, 2021[9]). This report builds on the roundtable discussion, in particular by proposing a working definition of dark commercial patterns, setting out evidence of their prevalence and harms, and identifying possible policy and enforcement responses to assist consumer policy makers and authorities in addressing them. It also documents possible approaches consumers and businesses may take to mitigate dark commercial patterns.The report was prepared by Nicholas McSpedden-Brown, under the supervision of Brigitte Acoca of the OECD Secretariat and in consultation with the Committee on Consumer Policy's advisory group on dark commercial patterns. It was approved and declassified by written procedure by the Committee on Consumer Policy on 24 August 2022 and prepared for publication by the OECD Secretariat.

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Section: Executive Summarymentioning

confidence: 99%

Section: Gathering Evidence To Support Policy Making and Enforcement ...mentioning

confidence: 99%