About: Do Not Track is a research topic. Over the lifetime, 58 publications have been published within this topic receiving 514 citations. The topic is also known as: DNT.
TL;DR: In this paper, a comprehensive analysis of the main sources of voter data and the absence of legal protection for this data and related data processing activities is presented, and a moderate proposal for addressing the harms identified in Part II consisting in (1) a mandatory disclosure and disclaimer regime requiring political actors to be more transparent about their campaign data practices; and (2) new federal privacy restrictions on commercial data brokers and a complementary "Do Not Track" mechanism enabling individuals (who also happen to be voters) to decide whether and to what extent commercial firms may track or target their online activity.
Abstract: In the past several election cycles, presidential campaigns and other well-funded races for major political offices have become data-driven operations. Presidential campaign organizations and the two main parties (and their data consultants) assemble and maintain extraordinarily detailed political dossiers on every American voter. These databases contain hundreds of millions of individual records, each of which has hundreds to thousands of data points. Because this data is computerized, candidates benefit from cheap and nearly unlimited storage, very fast processing, and the ability to engage in data mining of interesting voter patterns. The hallmark of data-driven political campaigns is voter microtargeting, which political actors rely on to achieve better results in registering, mobilizing and persuading voters and getting out the vote on or before Election Day. Voter microtargeting is the targeting of voters in a highly individualized manner based on statistical correlations between their observable patterns of offline and online behavior and the likelihood of their supporting a candidate and casting a ballot for him or her. In other words, modern political campaigns rely on the analysis of large data sets in search of useful and unanticipated insights, an activity that is often summed up with the phrase “big data.” Despite the importance of big data in U.S. elections, the privacy implications of data-driven campaigning have not been thoroughly explored much less regulated. Indeed, political dossiers may be the largest unregulated assemblage of personal data in contemporary American life. This Article seeks to remedy this oversight. It proceeds in three parts. Part I offers the first comprehensive analysis of the main sources of voter data and the absence of legal protection for this data and related data processing activities. Part II considers the privacy interests of individuals in both their consumer and Internet-based activities and their participation in the political process, organizing the analysis under the broad rubrics of information privacy and political privacy. That is, it asks two interrelated questions: first, whether the relentless profiling and microtargeting of American voters invades their privacy (and if so what harm it causes) and, second, to what extent do these activities undermine the integrity of the election system. It also examines three reasons why political actors minimize privacy concerns: a penchant for secrecy that clashes with the core precept of transparent data practices; a tendency to rationalize away the problem by treating all voter data as if it were voluntarily provided or safely de-identified (and hence outside the scope of privacy law) while (falsely) claiming to follow the highest commercial privacy standards; and, a mistaken embrace of commercial tracking and monitoring techniques as if their use has no impact on the democratic process. Part III presents a moderate proposal for addressing the harms identified in Part II consisting in (1) a mandatory disclosure and disclaimer regime requiring political actors to be more transparent about their campaign data practices; and (2) new federal privacy restrictions on commercial data brokers and a complementary “Do Not Track” mechanism enabling individuals (who also happen to be voters) to decide whether and to what extent commercial firms may track or target their online activity. The article concludes by asking whether even this moderate proposal runs afoul of political speech rights guaranteed by the First Amendment. It makes two arguments. First, the Supreme Court is likely to uphold mandatory privacy disclosures and disclaimers based on doctrines developed and re-affirmed in the leading campaign finance cases, which embrace transparency over other forms of regulation. Second, the Court will continue viewing commercial privacy regulations as constitutional under longstanding First Amendment doctrines, despite any incidental burdens they may impose on political actors, and notwithstanding its recent decision in Sorrell v. IMS Health, which is readily distinguishable.
TL;DR: This paper reports on the first detailed study of the perceived benefits and risks of tracking-and the reasons behind them-conducted in the context of users’ own browsing histories, and identifies specific situational factors that contribute to Users’ preferences about online tracking.
Abstract: Abstract Online trackers compile profiles on users for targeting ads, customizing websites, and selling users’ information. In this paper, we report on the first detailed study of the perceived benefits and risks of tracking-and the reasons behind them-conducted in the context of users’ own browsing histories. Prior work has studied this in the abstract; in contrast, we collected browsing histories from and interviewed 35 people about the perceived benefits and risks of online tracking in the context of their own browsing behavior. We find that many users want more control over tracking and think that controlled tracking has benefits, but are unwilling to put in the effort to control tracking or distrust current tools. We confirm previous findings that users’ general attitudes about tracking are often at odds with their comfort in specific situations. We also identify specific situational factors that contribute to users’ preferences about online tracking and explore how and why. Finally, we examine a sample of popular tools for controlling tracking and show that they only partially address the situational factors driving users’ preferences.We suggest opportunities to improve such tools, and explore the use of a classifier to automatically determine whether a user would be comfortable with tracking on a particular page visit; our results suggest this is a promising direction for future work.
TL;DR: In particular, it should be clear that the debate over Do Not Track and online advertising regulation is fundamentally tied up with the future of online content, culture, and services as discussed by the authors, and that regulatory advocates must explain how the content and services supported currently by advertising and marketing will be sustained if current online data collection and ad targeting techniques are restricted.
Abstract: While it remains impossible to predict with precision the impact a new privacy regulatory regime will have the Internet economy and digital consumers, regulation will have consequences; of that much we can be certain. As the FTC and other policy makers move forward with proposals to expand regulation in this regard, it is vital that the surreal "something-for-nothing" quality of current privacy debate cease. Those who criticize data collection or online advertising and call for expanded regulation should be required to provide a strict cost-benefit analysis of the restrictions they would impose upon America’s vibrant digital marketplace.In particular, it should be clear that the debate over Do Not Track and online advertising regulation is fundamentally tied up with the future of online content, culture, and services. Thus, regulatory advocates must explain how the content and services supported currently by advertising and marketing will be sustained if current online data collection and ad targeting techniques are restricted.The possibility of regulation also retarding vigorous marketplace competition - especially new innovations and entry - is also very real. Consequently, the Commission bears the heavy burden of explaining how such results would be consistent with its long-standing mission to protect consumer welfare and promote competition. Importantly, the "harm" that critics claim online advertising or data collection efforts gives rise to must be shown to be concrete, not merely conjectural. Too much is at stake to allow otherwise.Finally, as it pertains to solutions for those who remain sensitive about their privacy online, education and empowerment should trump regulation. Regulation would potentially destroy innovation in this space by substituting a government-approved, "one-size-fits-all" standard for the "let-a-thousand-flowers-bloom" approach, which offers diverse tools for a diverse citizenry. Consumers can and will adapt to changing privacy norms and expectations, but the Commission should not seek to plan that evolutionary process from above.
TL;DR: Online tracking for behavioural advertising purposes facilitates the shift from traditional marketing to web-personalization with ads tailored to Internet users’ preferences and interests.
Abstract: Online tracking for behavioural advertising purposes facilitates the shift from traditional marketing to web-personalization with ads tailored to Internet users’ preferences and interests To that end, user profiles are developed based on the information collected via the use of several technologies, including cookies, web-beacons, device- and browser fingerprinting, and others
The collected information in most cases qualifies as personal data and is therefore subject to data protection legislation In practice, users are often not aware of the behavioural tracking activity and if they are, they have no control over it To respond to the lack of awareness, user control, and effective regulatory solutions, the Do Not Track initiative was established in the USA, and also later endorsed by the European Commission The rationale of Do Not Track is simple: users should be enabled to express whether they wish to be tracked by advertising companies on the Internet and their wish, once expressed, should be respected
TL;DR: This paper looks at the problem of running auctions that leverage user profiles for ad ranking while keeping the user profile private, and defines the problem, broadly explore the solution space, and discusses the pros and cons of these solutions.
Abstract: Online tracking of users in support of behavioral advertising is widespread. Several researchers have proposed non-tracking online advertising systems that go well beyond the requirements of the Do-Not-Track initiative launched by the US Federal Trace Commission (FTC). The primary goal of these systems is to allow for behaviorally targeted advertising without revealing user behavior (clickstreams) or user profiles to the ad network. Although these designs purport to be practical solutions, none of them adequately consider the role of the ad auctions, which today are central to the operation of online advertising systems. This paper looks at the problem of running auctions that leverage user profiles for ad ranking while keeping the user profile private. We define the problem, broadly explore the solution space, and discuss the pros and cons of these solutions. We analyze the performance of our solutions using data from Microsoft Bing advertising auctions. We conclude that, while none of our auctions are ideal in all respects, they are adequate and practical solutions.