This article suggests several design principles intended to assist in the development of ethical algorithms exemplified by the task of fighting fake news. Although numerous algorithmic solutions have been proposed, fake news still remains a wicked socio-technical problem that begs not only engineering but also ethical considerations. We suggest employing insights from ethics of care while maintaining its speculative stance to ask how algorithms and design processes would be different if they generated care and fight fake news. After reviewing the (...) major characteristics of ethics of care and the phases of care, we offer four algorithmic design principles. The first principle highlights the need to develop a strategy to deal with fake news on the part of the software designers. The second principle calls for the involvement of various stakeholders in the design processes in order to increase the chances of successfully fighting fake news. The third principle suggests allowing end-users to report on fake news. Finally, the last principle proposes keeping the end-user updated on the treatment in the suspected news items. Implementing these principles as care practices can render the developmental process more ethically oriented as well as improve the ability to fight fake news. (shrink)

We argue that there is a large class of questions—specifically questions about how to epistemically evaluate environments that currently available epistemic theories are not well-suited for answering, precisely because these questions are not about the epistemic state of particular agents or groups. For example, if we critique Facebook for being conducive to the spread of misinformation, then we are not thereby critiquing Facebook for being irrational, or lacking knowledge, or failing to testify truthfully. Instead, we are saying something about the (...) social media environment. In this paper, we first propose that a new branch of epistemology–Environmental Epistemology–is needed to address these questions. We argue that environments can be proper objects of epistemic evaluation, and that there are genuine epistemic norms that govern environments. We then provide a positive account of these norms and conclude by considering how recognition of these norms may require us to rethink longstanding epistemic debates. (shrink)

Bystander information is information about others’ attitudes towards a text (i.e. about whether they agree or disagree with it). Social media platforms force bystander information upon us when we read posts thereon. What effect does this have on how we respond to what we read? The dominant view in the literature is that it changes our minds (the so-called “bandwagon effect”). Simplifying a little: if we see that most people agree (disagree) with what a post says, we are more likely (...) to agree (disagree) with what it says. This paper argues that we should take seriously a competitor view and care about the difference between it and the dominant view. The competitor view proposes that bystander information changes what a text seems to us to say: although bystander information may lead us to change what attitude we express toward a post, that’s not because we’ve changed our attitude toward any fixed content (i.e. fixed thing that the post says). This paper argues that, if this competitor view is correct, then social media is likely to be an especially hazardous place for the practice of sharing content. (shrink)