Journalism and media studies lack robust theoretical concepts for studying journalistic knowledge ‎generation. More specifically, conceptual challenges attend the emergence of big data and ‎algorithmic sources of journalistic knowledge. A family of frameworks apt to this challenge is ‎provided by “social epistemology”: a young philosophical field which regards society’s participation ‎in knowledge generation as inevitable. Social epistemology offers the best of both worlds for ‎journalists and media scholars: a thorough familiarity with biases and failures of obtaining ‎knowledge, and a strong (...) orientation toward best practices in the realm of knowledge-acquisition ‎and truth-seeking. This paper articulates the lessons of social epistemology for two central nodes of ‎knowledge-acquisition in contemporary journalism: human-mediated knowledge and technology-‎mediated knowledge. ‎. (shrink)

Why do we trust TV news? What reasons might support a recipient’s assessment of the trustworthiness of this kind of information? This paper presents a veritistic analysis of the epistemic practice of news production and communication. The topic is approached by discussing a detailed case study, namely the characteristics of the most popular German news programme, called the ‘Tagesschau’. It will be shown that a veritistic analysis can indeed provide a recipient with relevant reasons to consider when pondering on the (...) trustworthiness of sources of information. Moreover, it will turn out that these reasons are part of what recipients might gather from media literacy. (shrink)

The internet has considerably changed epistemic practices in science as well as in everyday life. Apparently, this technology allows more and more people to get access to a huge amount of information. Some people even claim that the internet leads to a democratization of knowledge. In the following text, we will analyze this statement. In particular, we will focus on a potential change in epistemic structure. Does the internet change our common epistemic practice to rely on expert opinions? Does it (...) alter or even undermine the division of epistemic labor? The epistemological framework of our investigation is a naturalist-pragmatist approach to knowledge. We take it that the internet generates a new environment to which people seeking information must adapt. How can they, and how should they, expand their repertory of social markers to continue the venture of filtering, and so make use of the possibilities the internet apparently provides? To find answers to these questions we will take a closer look at two case studies. The first example is about the internet platform WikiLeaks that allows so-called whistle-blowers to anonymously distribute their information. The second case study is about the search engine Google and the problem of personalized searches. Both instances confront a knowledge-seeking individual with particular difficulties which are based on the apparent anonymity of the information distributor. Are there ways for the individual to cope with this problem and to make use of her social markers in this context nonetheless? (shrink)

Information providing and gathering increasingly involve technologies like search ‎engines, which actively shape their epistemic surroundings. Yet, a satisfying account ‎of the epistemic responsibilities associated with them does not exist. We analyze ‎automatically generated search suggestions from the perspective of social ‎epistemology to illustrate how epistemic responsibilities associated with a ‎technology can be derived and assigned. Drawing on our previously developed ‎theoretical framework that connects responsible epistemic behavior to ‎practicability, we address two questions: first, given the different technological ‎possibilities available (...) to searchers, the search technology, and search providers, ‎who should bear which responsibilities? Second, given the technology’s ‎epistemically relevant features and potential harms, how should search terms be ‎autocompleted? Our analysis reveals that epistemic responsibility lies mostly with ‎search providers, which should eliminate three categories of autosuggestions: those ‎that result from organized attacks, those that perpetuate damaging stereotypes, and ‎those that associate negative characteristics with specific individuals.‎. (shrink)

Since anonymous agents can spread misinformation with impunity, many people advocate for greater accountability for internet speech. This paper provides a veritistic argument that accountability mechanisms can cause significant epistemic problems for internet encyclopedias and social media communities. I show that accountability mechanisms can undermine both the dissemination of true beliefs and the detection of error. Drawing on social psychology and behavioral economics, I suggest alternative mechanisms for increasing the trustworthiness of internet communication.

The internet provides easy access to a wealth of information that can sometimes be false and harmful. This is most apparent on social media platforms. To combat this, platforms have implemented various methods of content moderation to flag or block content that is inaccurate or violates community standards. This approach has limitations – from the epistemic injustices that might occur due to content moderation practices to the concerns about the legitimacy of these for-profit platforms’ epistemic authority. In this paper, I (...) highlight some of the epistemic challenges of online content moderation with a focus on how it harms internet users and moderators. If we are to moderate content effectively and ethically, we must attend to these challenges. Hence, I map out an epistemic compass for online content moderation that looks to attend to these challenges. I argue for a pluralistic model of content moderation that categorises content online and distributes the task of content moderation between human moderators, automated moderators, and community moderators in a way that plays to the strengths of each content moderation model. My compass is beneficial for two reasons: first, it allows room for the internet to realise its potential as a democratising force for knowledge, and second, it helps minimise the epistemic downsides of relying on profit-driven companies as epistemic authorities. (shrink)