Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31373
Appears in Collections:Law and Philosophy Journal Articles
Peer Review Status: Refereed
Title: UBERTRUST: How Uber Represents Itself to Its Customers Through its Legal and Non-Legal Documents
Author(s): Noto La Diega, Guido
Jacovella, Luce
Keywords: Online platforms
Trust
Terms of service
Collective awareness
Private ordering
Transparency
Uber
Uberification
Sharing economy
Issue Date: 2016
Date Deposited: 2-Jul-2020
Citation: Noto La Diega G & Jacovella L (2016) UBERTRUST: How Uber Represents Itself to Its Customers Through its Legal and Non-Legal Documents. Journal of Civil and Legal Sciences, 5 (4), Art. No.: 199. https://doi.org/10.4172/2169-0170.1000199
Abstract: This paper examines some of the key factors that contribute to build or erode users’ trust in a platform-based service such as the one provided by Uber Technologies Inc. As clarified by the European Commission, the future Internet cannot succeed without trust of online platforms’ users. The paper explores Uber’s web of relationships with different categories of users, i.e., ‘driver-partners’, ‘riders’, ‘developers’ and ‘business users’ through Uber’s legal and non-legal representations. By analysing Uber ‘legals’ (terms of service, privacy policy, etc.) and the non-legal representations of these norms through the wider Uber community ecosystem (forums, blogs, etc.), it explores how transparency and collective awareness can play a role in sustaining trust. It concludes that the opacity of its ‘legals’ and of its corporate structure could create tensions within the market and undermine the users’ trust. Therefore, the authors recommend that in order to foster trust and ensure fairness, Uber should ensure consistency between its legal and non-legal representation and adopt a more transparent and fair approach in its legals. This would, in turn, empower its users community to participate in the decision making and could provide an example for other platforms.
DOI Link: 10.4172/2169-0170.1000199
Rights: © 2016 Diega GNL, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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