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Ethical Issues in Text Mining for Mental Health

In M. Dehghani & R. Boyd (ed.), The Atlas of Language Analysis in Psychology (forthcoming)

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  1. Why we need better ethics for emerging technologies.James H. Moor - 2005 - Ethics and Information Technology 7 (3):111-119.
    Technological revolutions are dissected into three stages: the introduction stage, the permeation stage, and the power stage. The information revolution is a primary example of this tripartite model. A hypothesis about ethics is proposed, namely, ethical problems increase as technological revolutions progress toward and into the power stage. Genetic technology, nanotechnology, and neurotechnology are good candidates for impending technological revolutions. Two reasons favoring their candidacy as revolutionary are their high degree of malleability and their convergence. Assuming the emerging technologies develop (...)
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  • Facebook emotional contagion experiment controversy.David Hunter & Nicholas Evans - 2016 - Research Ethics 12 (1):2-3.
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  • Rethinking the Belmont Report?Phoebe Friesen, Lisa Kearns, Barbara Redman & Arthur L. Caplan - 2017 - American Journal of Bioethics 17 (7):15-21.
    This article reflects on the relevance and applicability of the Belmont Report nearly four decades after its original publication. In an exploration of criticisms that have been raised in response to the report and of significant changes that have occurred within the context of biomedical research, five primary themes arise. These themes include the increasingly vague boundary between research and practice, unique harms to communities that are not addressed by the principle of respect for persons, and how growing complexity and (...)
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  • Where are human subjects in Big Data research? The emerging ethics divide.Kate Crawford & Jacob Metcalf - 2016 - Big Data and Society 3 (1).
    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 (...)
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  • Strangers at the benchside: Research ethics consultation.Mildred K. Cho, Sara L. Tobin, Henry T. Greely, Jennifer McCormick, Angie Boyce & David Magnus - 2008 - American Journal of Bioethics 8 (3):4 – 13.
    Institutional ethics consultation services for biomedical scientists have begun to proliferate, especially for clinical researchers. We discuss several models of ethics consultation and describe a team-based approach used at Stanford University in the context of these models. As research ethics consultation services expand, there are many unresolved questions that need to be addressed, including what the scope, composition, and purpose of such services should be, whether core competencies for consultants can and should be defined, and how conflicts of interest should (...)
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  • Untangling research and practice: What Facebook’s “emotional contagion” study teaches us.Danah Boyd - 2016 - Research Ethics 12 (1):4-13.
    Published in 2014, the Facebook “emotional contagion” study prompted widespread discussions about the ethics of manipulating social media content. By and large, researchers focused on the lack of corporate institutional review boards and informed consent procedures, missing the crux of what upset people about both the study and Facebook’s underlying practices. This essay examines the reactions that unfolded, arguing the public’s growing discomfort with “big data” fueled the anger. To address these concerns, we need to start imagining a socio-technical approach (...)
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  • The ethics of online research with unsuspecting users: From A/B testing to C/D experimentation.Raquel Benbunan-Fich - 2017 - Research Ethics 13 (3-4):200-218.
    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 (...)
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  • Behind Closed Doors: Irbs and the Making of Ethical Research.Laura Stark - 2011 - University of Chicago Press.
    IRBs in action -- Everyone's an expert? Warrants for expertise -- Local precedents -- Documents and deliberations: an anticipatory perspective -- Setting IRBs in motion in Cold War America -- An ethics of place -- The many forms of consent -- Deflecting responsibility -- Conclusion: the making of ethical research.
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