Dark patterns, dark nudges, sludge and misinformation: alcohol industry apps and digital tools.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Elliott Roy-Highley, Katherine Körner, Claire Mulrenan, Mark Petticrew
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Abstract

Many alcohol-industry-funded (AIF) organizations disseminate eHealth/mHealth tools that claim to assist users in making health decisions by monitoring alcohol consumption, e.g. blood alcohol calculators, AUDIT scores, consumption trackers. Previously, AIF materials were found to contain health misinformation that could increase consumption (dark nudges) or make healthy behaviour change more difficult (sludge). The accuracy and functionality of AIF tools have never been analysed, and given the history of AIF materials it is possible they contain misinformation and function as covert marketing channels to promote alcohol-industry-friendly narratives on the causes and possible solutions of alcohol-related harms. We evaluated the information accuracy and framing, behaviour change techniques (BCTs), and functions of AIF digital tools (n = 15, from the UK, Ireland, the USA, Canada, New Zealand, Australia; including Drinkaware, Drinkwise, Educ'alcool and others), compared to a non-industry-funded independent sample (n = 10). We identified misinformation and 'dark patterns' (interface design strategies for influencing users against their interest) throughout AIF tools; significantly fewer provided accurate feedback (33% vs 100%), and significantly more omitted information on cancer (67% vs 10%) and cardiovascular disease (80% vs 30%) and promoted industry-friendly narratives (47% vs 0%). AIF tools encouraged consumption through priming nudges (53%) and social norming (40%). AIF tools utilized fewer BCTs, provided users with more limited pre-set options (54%), and fewer drink choices (mean 24 vs 275). Their input structure often impeded their ability to provide guideline advice. We conclude that AIF tools contain pro-industry misinformation strategies and dark patterns that misinform users about their consumption and could 'nudge' them towards continuing to drink alcohol-characteristics of 'Dark Apps' designs.

黑暗模式、黑暗暗示、污泥浊水和错误信息:酒精行业应用程序和数字工具。
许多由酒精行业资助(AIF)的组织传播电子健康/保健工具,声称可以通过监测酒精消费来帮助用户做出健康决定,例如血液酒精计算器、AUDIT评分、消费跟踪器。在此之前,人们发现 AIF 材料中含有可能会增加消费(黑暗暗示)或增加健康行为改变难度(污泥)的健康误导信息。我们从未对 AIF 工具的准确性和功能进行过分析,鉴于 AIF 材料的历史,它们有可能包含误导信息,并充当隐蔽的营销渠道,就酒精相关危害的原因和可能的解决方案宣传对酒精行业有利的说法。我们评估了 AIF 数字工具(n = 15,来自英国、爱尔兰、美国、加拿大、新西兰、澳大利亚;包括 Drinkaware、Drinkwise、Educ'alcool 等)的信息准确性和框架、行为改变技术(BCTs)和功能,并与非行业资助的独立样本(n = 10)进行了比较。我们在整个AIF工具中发现了错误信息和 "黑暗模式"(不利于用户利益的界面设计策略);提供准确反馈的工具明显较少(33%对100%),遗漏癌症(67%对10%)和心血管疾病(80%对30%)信息的工具明显较多,而宣传行业友好叙述的工具明显较多(47%对0%)。AIF 工具通过诱导(53%)和社会规范(40%)鼓励消费。AIF工具使用的BCT更少,为用户提供的预设选项更有限(54%),饮料选择更少(平均24种对275种)。其输入结构往往妨碍了其提供指导性建议的能力。我们得出的结论是,AIF 工具包含亲行业的错误信息策略和黑暗模式,这些策略和模式会误导用户的饮酒量,并可能 "诱导 "他们继续饮酒,这是 "黑暗应用程序 "设计的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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