We show, via a massive (N = 689,003) experiment on Facebook, that emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. We provide experimental evidence that emotional contagion occurs without direct interaction between people (exposure to a friend expressing an emotion is sufficient), and in the complete absence of nonverbal cues.Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. (...) Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests that longer-lasting moods (e.g., depression, happiness) can be transferred through networks Fowler JH, Christakis NA (2008) BMJ 337:a2338, although the results are controversial. In an experiment with people who use Facebook, we test whether emotional contagion occurs outside of in-person interaction between individuals by reducing the amount of emotional content in the News Feed. When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred. These results indicate that emotions expressed by others on Facebook influence our own emotions, constituting experimental evidence for massive-scale contagion via social networks. This work also suggests that, in contrast to prevailing assumptions, in-person interaction and nonverbal cues are not strictly necessary for emotional contagion, and that the observation of others{\textquoteright} positive experiences constitutes a positive experience for people. (shrink)

Online controlled experiments, also known as A/B tests, have become ubiquitous. While many practical challenges in running experiments at scale have been thoroughly discussed, the ethical dimension of A/B testing has been neglected. This article fills this gap in the literature by introducing a new, soft ethics and governance framework that explicitly recognizes how the rise of an experimentation culture in industry settings brings not only unprecedented opportunities to businesses but also significant responsibilities. More precisely, the article (a) introduces a (...) set of principles to encourage ethical and responsible experimentation to protect users, customers, and society; (b) argues that ensuring compliance with the proposed principles is a complex challenge unlikely to be addressed by resorting to a one-solution response; (c) discusses the relevance and effectiveness of several mechanisms and policies in educating, governing, and incentivizing companies conducting online controlled experiments; and (d) offers a list of prompting questions specifically designed to help and empower practitioners by stimulating specific ethical deliberations and facilitating coordination among different groups of stakeholders. (shrink)

The American justice system, from police departments to the courts, is increasingly turning to information technology for help identifying potential offenders, determining where, geographically, to allocate enforcement resources, assessing flight risk and the potential for recidivism amongst arrestees, and making other judgments about when, where, and how to manage crime. In particular, there is a focus on machine learning and other data analytics tools, which promise to accurately predict where crime will occur and who will perpetrate it. Activists and academics (...) have begun to raise critical questions about the use of these tools in policing contexts. In this chapter, I review the emerging critical literature on predictive policing and contribute to it by raising ethical questions about the use of predictive analytics tools to identify potential offenders. Drawing from work on the ethics of profiling, I argue that the much-lauded move from reactive to preemptive policing can mean wrongfully generalizing about individuals, making harmful assumptions about them, instrumentalizing them, and failing to respect them as full ethical persons. I suggest that these problems stem both from the nature of predictive policing tools and from the sociotechnical contexts in which they are implemented... (shrink)

This article analyzes recent cases of company-sponsored online experiments with unsuspecting users and discusses the ethical aspects of such experimentation. These cases illustrate a new type of online research where companies modify their algorithms to intentionally misinform or mislead users. Unlike typical forms of A/B testing, where two versions of the same website are presented to different users to evaluate interface changes, algorithm modification is a deeper form of testing where changes in program code induce user deception. Thus, we propose (...) to call this new approach C/D experimentation to distinguish it from the surface-level website evaluation associated with A/B testing. Three aspects raise ethical concerns regarding C/D experimentation: the absence of user consent to participate in research, the presence of intentional deception, and the complete lack of protection for human subjects who partake in privately funded behavioral research. Three recommendations are proposed to address these issues: (i) to develop an ethical code of conduct for subject protection shared by online companies, (ii) to include special provisions for C/D experiments in social networking platforms, and (iii) to create an independent user advocacy board to protect the rights of users who partake in online research conducted in the private sector. (shrink)

How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...) ethical framework for the acceptability of such experiments is developed based on the bioethical principles for experiments with human subjects: non-maleficence, beneficence, respect for autonomy, and justice. This provides a handle for the moral and regulatory assessment of new technologies and their impact on society. (shrink)

Research involving human subjects is much more stringently regulated than many other nonresearch activities that appear to be at least as risky. A number of prominent figures now argue that research is overregulated. We argue that the reasons typically offered to justify the present system of research regulation fail to show that research should be subject to more stringent regulation than other equally risky activities. However, there are three often overlooked reasons for thinking that research should be treated as a (...) special case. First, research typically involves the imposition of risk on people who do not benefit from this risk imposition. Second, research depends on public trust. Third, the complexity of the moral decision making required favors ethics committees as a regulative solution for research. (shrink)

In this article, I ask whether a principle analogous to the principle of clinical equipoise should govern the design and conduct of RCTs evaluating the effectiveness of policy interventions. I answer this question affirmatively, and introduce and defend the principle of policy equipoise. According to this principle, all arms of a policy RCT must be, at minimum, in a state of equipoise with the best proven policy that is also morally and practically attainable and sustainable. For all arms of a (...) policy RCT, policy experts must either reasonably disagree about whether the trial arms are more effective than this policy, or know that they are. (shrink)

This article argues that the study conducted by Facebook in conjunction with Cornell University did not have sufficient ethical oversight, and neglected in particular to obtain necessary informed consent from the participants in the study. It establishes the importance of informed consent in Internet research ethics and suggests that in Facebook’s case (and other, similar cases), a reasonable shift could be made from traditional medical ethics ‘effective consent’ to a ‘waiver of normative expectations’, although this would require much-needed change to (...) the company’s standard practice. Finally, it gives some practical recommendations for how to implement such consent strategies, and how the ethical oversight gap between university-led research and industry-led research can be bridged, potentially using emerging Responsible Research and Innovation frameworks which are currently gathering momentum in Europe. (shrink)

Research is subject to more stringent ethical requirements than most other human activities, and a procedure that is otherwise allowed may be forbidden in research. Hence, risk-taking is more restricted in scientific research than in most non-research contexts, and privacy is better protected in scientific questionnaires than in marketing surveys. Potential arguments for this difference are scrutinized. The case in its favour appears to be weak. A stronger case can be made in favour of a difference in the opposite direction: (...) If perilous or otherwise problematic activities have to be performed it is usually better to perform them in a research context where they are properly evaluated so that guidance is obtained for the future. However, retreating from current ethical demands on research is not a desirable direction to go. Instead, research ethics can serve to inspire the introduction of more stringent ethical principles in other social sectors. (shrink)

Many types of human research activities present risks and burdens to third parties (e.g., bystanders). Few human protection policies directly address the protection of research bystanders, though some address it in passing. In what follows, I re‐iterate reasons why bystanders are entitled to protections. I also argue that Institutional Review Boards (IRBs) are in the best position to signal to researchers and sponsors that bystanders should be protected in research. In some cases, IRB review would consist of evaluating bystander protection (...) strategies directly; in other cases, this might entail merely certifying that another institutions, like a drug regulator, has taken adequate measures to protect the welfare of research bystanders. (shrink)

The view that research with competent adults requires valid consent to be ethical perhaps finds its clearest expression in the Nuremberg Code, whose famous first principle asserts that “the voluntary consent of the human subject is absolutely essential.” In a similar vein, the United Nations International Covenant on Civil and Political Rights states that “no one shall be subjected without his free consent to medical or scientific experimentation.” Yet although some formulations of the consent principle allow no exceptions, others hold (...) that informed consent is not always strictly necessary for ethical research. The U.S. federal regulations known as the “Common Rule,” which govern research with human subjects, lists several conditions for waiving consent. However, neither guidance documents on the ethics of clinical research nor the literature in bioethics contains a general justification of research without consent. The purpose of this paper is to advance a justificatory framework that will explain why research without consent is permissible in paradigmatic cases and that can be useful in analyzing cases about which there is disagreement. We argue that research without consent can be justified on two grounds: if it stands to infringe no right of the participants and obtaining consent is impracticable, or if the gravity of the rights infringement is minor and outweighed by the expected social value of the research and obtaining consent is impracticable. (shrink)

Smart Cities consist of a multitude of interconnected devices and services to, among others, enhance efficiency, comfort, and safety. To achieve these aims, smart cities rely on an interplay of measures including the deployment of interventions targeted to foster certain human behaviors, such as saving energy, or collecting and exchanging sensor and user data. Both aspects have ethical implications, e.g., when it comes to intervention design or the handling of privacy-related data such as personal information, user preferences or geolocations. Resulting (...) concerns must be taken seriously, as they reduce user acceptance and can even lead to the abolition of otherwise promising Smart City projects. Established guidelines for ethical research and practice from the psychological sciences provide a useful framework for the kinds of ethical issues raised when designing human-centered interventions or dealing with user-generated data. This article thus reviews relevant psychological guidelines and discusses their applicability to the Smart City context. A special focus is on the guidelines’ implications and resulting challenges for certain Smart City applications. Additionally, potential gaps in current guidelines and the limits of applicability are reflected upon. (shrink)

Contemporary research ethics policies started with reflection on the atrocities perpetrated upon concentration camp inmates by Nazi doctors. Apparently, as a consequence of that experience, the policies that now guide human subject research focus on the protection of human subjects by making informed consent the centerpiece of regulatory attention. I take the choice of context for policy design, the initial prioritization of informed consent, and several associated conceptual missteps, to have set research ethics off in the wrong direction. The aim (...) of this paper is to sort out these confusions and their implications and to offer instead a straightforward framework for considering the ethical conduct of human subject research. In the course of this discussion I clarify different senses of autonomy that have been confounded and present more intelligible justifications for informed consent. I also take issue with several of the now accepted dogmas that govern research ethics. These include: the primacy of informed consent, the protection of the vulnerable, the substitution of beneficence for research's social purpose, and the introduction of an untenable distinction between innovation and research. (shrink)

There are growing discontinuities between the research practices of data science and established tools of research ethics regulation. Some of the core commitments of existing research ethics regulations, such as the distinction between research and practice, cannot be cleanly exported from biomedical research to data science research. Such discontinuities have led some data science practitioners and researchers to move toward rejecting ethics regulations outright. These shifts occur at the same time as a proposal for major revisions to the Common Rule—the (...) primary regulation governing human-subjects research in the USA—is under consideration for the first time in decades. We contextualize these revisions in long-running complaints about regulation of social science research and argue data science should be understood as continuous with social sciences in this regard. The proposed regulations are more flexible and scalable to the methods of non-biomedical research, yet problematically largely exclude data science methods from human-subjects regulation, particularly uses of public datasets. The ethical frameworks for Big Data research are highly contested and in flux, and the potential harms of data science research are unpredictable. We examine several contentious cases of research harms in data science, including the 2014 Facebook emotional contagion study and the 2016 use of geographical data techniques to identify the pseudonymous artist Banksy. To address disputes about application of human-subjects research ethics in data science, critical data studies should offer a historically nuanced theory of “data subjectivity” responsive to the epistemic methods, harms and benefits of data science and commerce. (shrink)

How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...) ethical framework for the acceptability of such experiments is developed based on the bioethical principles for experiments with human subjects: non-maleficence, beneficence, respect for autonomy, and justice. This provides a handle for the moral and regulatory assessment of new technologies and their impact on society. (shrink)

Since field experiments in democratic politics influence citizens and the relationships among citizens, they are freighted with normative significance. Yet the distinctively democratic concerns that bear upon such field experiments have not yet been systematically examined. In this paper, we taxonomize such democratic concerns. Our goal is not to justify any of them, but rather to reveal their basic structure, so that they can be scrutinized at further length. We argue that field experiments could be democratically objectionable even if they (...) are not decisive – even if they do not swing the results of elections or other political decisions. Rather, if a class of campaign experiments is objectionable, one reason for this is that they undermine citizens’ equal standing. The ideal of equal standing affords nuanced judgments about the permissibility of field experiments in democratic politics. (shrink)