Persuasion Through Selective Disclosure: Implications for Marketing, Campaigning, and Privacy Regulation

2019 ◽  
Author(s):  
Florian Hoffmann ◽  
Roman Inderst ◽  
Marco Ottaviani
2020 ◽  
Vol 66 (11) ◽  
pp. 4958-4979 ◽  
Author(s):  
Florian Hoffmann ◽  
Roman Inderst ◽  
Marco Ottaviani

This paper models how firms or political campaigners (senders) persuade consumers and voters (receivers) by selectively disclosing information about their offering depending on individual receivers' preferences and orientations. We derive positive and normative implications depending on the extent of competition among senders, whether receivers are wary of senders collecting personalized data, and whether firms are able to personalize prices. We show how both senders and receivers can benefit from selective disclosure. Privacy laws requiring senders to obtain consent to acquire personal information that enables such selective disclosure increases receiver welfare if and only if there is little or asymmetric competition among senders, if receivers are unwary, and if firms can price discriminate. This paper has been accepted by Joshua Gans, business strategy.


2017 ◽  
Author(s):  
Seda Gurses ◽  
Joris Vredy Jan van Hoboken

Moving beyond algorithms and big data as starting points for discussions about privacy, the authors of Privacy After the Agile Turn focus our attention on the new modes of production of information systems. Specifically, they look at three shifts that have transformed most of the software industry: software is now delivered as services, software and hardware have moved into the cloud and software’s development is ever more agile. These shifts have altered the conditions for privacy governance, and rendered the typical mental models underlying regulatory frameworks for information systems out-of-date. After 'the agile turn', modularity in production processes creates new challenges for allocating regulatory responsibility. Privacy implications of software are harder to address due to the dynamic nature of services and feature development, which undercuts extant privacy regulation that assumes a clear beginning and end of production processes. And the data-driven nature of services, beyond the prospect of monetization, has become part of software development itself. With their focus on production, the authors manage to place known challenges to privacy in a new light and create new avenues for privacy research and practice.


Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 962
Author(s):  
Sphiwe Madiba ◽  
Evelyn Ralebona ◽  
Mygirl Lowane

We explored the extent to which perceived HIV-related stigma influences the disclosure and concealment of HIV status to family among adult patients hospitalised for AIDS-related illness, and described reports of negative responses and enacted stigma following disclosure. We conducted interviews with a purposeful sample of 28 adult patients in a rural South African hospital. Data analysis was deductive and inductive and followed the thematic approach. We found evidence of delayed HIV diagnosis and initiation of treatment. There was delayed and selective disclosure as well as concealment of the HIV-positive status. The disclosure was delayed for months or even years. During that time, there was active concealment of the HIV status to avoid stigma from family, friends, and community. When disclosure occurred, there was selective disclosure to close family members who would keep the secret and respond favorably. Although the participants disclosed mostly to close family, some of their post-disclosure experiences included incidents of enacted stigma and discrimination. The fear of perceived stigma and self-stigma influenced the active concealment of their HIV status from others. Continuous concealment of one’s HIV status and delayed disclosure limit the opportunities for support and care. There is a need to take into consideration the interaction between HIV-related stigma and disclosure to develop disclosure-counselling strategies in primary health care settings.


2021 ◽  
Vol 13 (4) ◽  
pp. 2332
Author(s):  
Lena Bjørlo ◽  
Øystein Moen ◽  
Mark Pasquine

Artificial intelligence (AI)-based decision aids are increasingly employed by businesses to assist consumers’ decision-making. Personalized content based on consumers’ data brings benefits for both consumers and businesses, i.e., with regards to more relevant content. However, this practice simultaneously enables increased possibilities for exerting hidden interference and manipulation on consumers, reducing consumer autonomy. We argue that due to this, consumer autonomy represents a resource at the risk of depletion and requiring protection, due to its fundamental significance for a democratic society. By balancing advantages and disadvantages of increased influence by AI, this paper addresses an important research gap and explores the essential challenges related to the use of AI for consumers’ decision-making and autonomy, grounded in extant literature. We offer a constructive, rather than optimistic or pessimistic, outlook on AI. Hereunder, we present propositions suggesting how these problems may be alleviated, and how consumer autonomy may be protected. These propositions constitute the fundament for a framework regarding the development of sustainable AI, in the context of online decision-making. We argue that notions of transparency, complementarity, and privacy regulation are vital for increasing consumer autonomy and promoting sustainable AI. Lastly, the paper offers a definition of sustainable AI within the contextual boundaries of online decision-making. Altogether, we position this paper as a contribution to the discussion of development towards a more socially sustainable and ethical use of AI.


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