244 research outputs found

    Mobile Privacy and Business-to-Platform Dependencies: An Analysis of SEC Disclosures

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    This Article systematically examines the dependence of mobile apps on mobile platforms for the collection and use of personal information through an analysis of Securities and Exchange Commission (SEC) filings of mobile app companies. The Article uses these disclosures to find systematic evidence of how app business models are shaped by the governance of user data by mobile platforms, in order to reflect on the role of platforms in privacy regulation more generally. The analysis of SEC filings documented in the Article produces new and unique insights into the data practices and data-related aspects of the business models of popular mobile apps and shows the value of SEC filings for privacy law and policy research more generally. The discussion of SEC filings and privacy builds on regulatory developments in SEC disclosures and cybersecurity of the last decade. The Article also connects to recent regulatory developments in the U.S. and Europe, including the General Data Protection Regulation, the proposals for a new ePrivacy Regulation and a Regulation of fairness in business-to-platform relations

    The DSA has been published: now the difficult bit begins

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    Privacy and Security in the Cloud: Some Realism About Technical Solutions to Transnational Surveillance in the Post-Snowden Era

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    Since June 2013, the leak of thousands of classified documents regarding highly sensitive U.S. surveillance activities by former National Security Agency (NSA) contractor Edward Snowden has greatly intensified discussions of privacy, trust, and freedom in relation to the use of global computing and communication services. This is happening during a period of ongoing transition to cloud computing services by organizations, businesses, and individuals. There has always been a question of inherent in this transition: are cloud services sufficiently able to guarantee the security of their customers’ data as well s the proper restrictions on access by third parties, including governments? While worries over government access to data in the cloud is a predominate part of the ongoing debate over the use of cloud serives, the Snowden revelations highlight that intelligence agency operations pose a unique threat to the ability of services to keep their customers’ data out of the hands of domestic as well as foreign governments. The search for a proper response is ongoing, from the perspective of market players, governments, and civil society. At the technical and organizational level, industry players are responding with the wider and more sophisticated deployment of encryption as well as a new emphasis on the use of privacy enhancing technologies and innovative architectures for securing their services. These responses are the focus of this Article, which contributes to the discussion of transnational surveillance by looking at the interaction between the relevant legal frameworks on the one hand, and the possible technical and organizational responses of cloud service providers to such surveillance on the other. While the Article’s aim is to contribute to the debate about government surveillance with respect to cloud services in particular, much of the discussion is relevant for Internet services more broadly

    Regulating Disinformation in Europe: Implications for Speech and Privacy

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    This Article examines the ongoing dynamics in the regulation of disinformation in Europe, focusing on the intersection between the right to freedom of expression and the right to privacy. Importantly, there has been a recent wave of regulatory measures and other forms of pressure on online platforms to tackle disinformation in Europe. These measures play out in different ways at the intersection of the right to freedom of expression and the right to privacy. Crucially, as governments, journalists, and researchers seek greater transparency and access to information from online platforms to evaluate their impact on the health of their democracies, these measures raise acute issues related to user privacy. Indeed, platforms that once refused to cooperate with governments in identifying users allegedly responsible for disseminating illegal or harmful content are now expanding cooperation. However, while platforms are increasingly facilitating government access to user data, platforms are also invoking data protection law concerns as a shield in response to recent efforts at increased platform transparency. At the same time, data protection law provides for one of the main systemic regulatory safeguards in Europe. It protects user autonomy concerning data-driven campaigns, requiring transparency for internet audiences about targeting and data subject rights in relation to audience platforms, such as social media companies

    Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem

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    The deployment of various forms of AI, most notably of machine learning algorithms, radically transforms many domains of social life. In this paper we focus on the news industry, where different algorithms are used to customize news offerings to increasingly specific audience preferences. While this personalization of news enables media organizations to be more receptive to their audience, it can be questioned whether current deployments of algorithmic news recommenders (ANR) live up to their emancipatory promise. Like in various other domains, people have little knowledge of what personal data is used and how such algorithmic curation comes about, let alone that they have any concrete ways to influence these data-driven processes. Instead of going down the intricate avenue of trying to make ANR more transparent, we explore in this article ways to give people more influence over the information news recommendation algorithms provide by thinking about and enabling possibilities to express voice. After differentiating four ideal typical modalities of expressing voice (alternation, awareness, adjustment and obfuscation) which are illustrated with currently existing empirical examples, we present and argue for algorithmic recommender personae as a way for people to take more control over the algorithms that curate people's news provision
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