The COVID-19 pandemic has been accompanied on social media by an explosion of information disorders such as inaccurate, misleading and irrelevant information. Countermeasures adopted thus far to curb these informational disorders have had limited success because these did not account for the diversity of informational contexts on social media, focusing instead almost exclusively on curating the factual content of user’s posts. However, content-focused measures do not address the primary causes of the infodemic itself, namely the user’s need to post content (...) as a way of making sense of the situation and for gathering reactions of consensus from friends. This paper describes three types of informational context—weak epistemic, strong normative and strong emotional—which have not yet been taken into account by current measures to curb down the informational disorders. I show how these contexts are related to the infodemic and I propose measures for dealing with them for future global crisis situations. (shrink)

In this paper, a particular case of deceptive use of images – namely, misattributions – will be taken in consideration. An explicitly wrong attribution (“This is a picture of the event X”, this not being the case) is obviously a lie or a mistaken description. But there are less straightforward and more insidious cases in which a false attribution is held to be acceptable, in particular when pictures are also used in their exemplary, general meaning, opposed to their indexical function (...) in referring to a specific event. In fact, the boundary between referential use and symbolic-exemplificative use is not always clear-cut, and it often becomes the subject of ideological dispute. The main point that this paper would like to do is that in some circumstances there is a deep-seated belief that images that are clearly misattributed could still be legitimately used to refer to the fact, even if this is not the case. This twisted epistemological stance, that I will summarize under the oxymoronic concept of “emblematic evidence”, is both the product of political and tribal polarization in the ideological debate, and the result of a shift in our understanding of what photographic images should do. (shrink)

The use of memes has become increasingly widespread in political discourse. However, there is a dearth of philosophical discussion on memes and their impact on political discourse. This paper addresses this gap in the literature and bridges the divide between the empirical and philosophical work on memes by offering a functionalist account which allows for a more in-depth analysis of the role memes play in political discourse. We offer a taxonomy of the eight key characteristics of memes: 1. humor; 2. (...) fostering in-group identity; 3. caricatures; 4. replicability; 5. context collapse; 6. hermeneutical resources; 7. low reputational cost; 8. signaling. On the positive side, the propensity memes have to foster in-group identity and to function as a hermeneutical tool for people to make sense of their own experiences are a boon especially to marginalized communities. On the flipside, the creation of an in-group/out-group dynamic can also be exploited by sinister political actors, especially since the low reputational cost of circulating memes allows for plausible deniability. We use the analysis in this paper to jumpstart a discussion of how we should understand memes and debate which norms should govern the novel speech act of posting a meme given its impact on political discourse. Based on our findings, we end with a call to adopt stricter norms for the act of posting a meme. (shrink)

This paper explores some features of the epistemic environment in social media and online communication. We argue that digital environments differ from offline ones in at least two ways: (a) online environments are thoroughly structured and programmed. Every action is defined and limited by the underlying code created by the system’s developers, providing the tools users need to navigate the online space. In contrast, offline environments are open to chance and unpredictability, allowing for events and actions that the system has (...) not predetermined; (b) every action is traced and used to evaluate levels of engagement with content and posts, with significant epistemic consequences. This creates a “dense” environment in which users are deeply entangled. In this regard, the concept of purely passive engagement is challenged, since activities such as just watching a video or reading a post can alter the epistemic landscape and promote specific content with which a person interacts. As a result, online social environments facilitate a variety of indirect communicative and epistemic activities across the network. Given this, the paper suggests that in such settings, attentional disengagement and avoidance should be considered a potential proactive way to modulate self-exposure. This strategy is aimed not only at protecting individuals from harmful content but also at actively shaping the information flow and knowledge structure within the environment. Managing one’s own attention can thus significantly influence how information is perceived and disseminated, essentially controlling the personal and collective epistemic environment. (shrink)

This paper offers a systematic classification and characterization of speech acts and their norms. Recently, the normative approach has been applied to various speech acts, most notably to constatives. I start by showing how the work on the norms of assertion has influenced various approaches to the norms of other speech acts. I focus on the fact that various norms of assertion have different extensions, i.e., they denote different clusters of illocutions as belonging to an assertion. I argue that this (...) has consequences for theorising about norms of other speech acts and generates certain arbitrary divisions. In the central part, I analyse two groups of speech acts. Firstly, ordinary speech acts, like predictions or retractions. Secondly, I indicate how the normative view can be extended to so-called ancillary speech acts, like presuppositions or implicatures. I end with a discussion of possible extensions of the normative approach, focusing on the debate on lying. (shrink)

This paper addresses the status of the act of sharing a message in a social network. Scholars do not agree on what kind of act sharing is and what kind of communicative and illocutionary act is performed when a post is shared. We defend the view that sharing is an act similar to photocopying and distributing a document. Such an act is a basic act that can be used for communicative aims in certain contexts but that is not necessarily communicative. (...) One can repost for several reasons—to manifest agreement or derision, to inform, to please the author, to show activity on social networks, to have an economic return—and only some of them are communicative. However, even when reposters do not perform a communicative act, they are not relieved of every responsibility; in fact, the responsibilities of reposters are like those of the persons who copy and distribute something. (shrink)

We often say one thing and mean another. This kind of indirection (concerning the content conveyed) is both ubiquitous and widely recognized. Other forms of indirection, however, are less common and less discussed. For example, we can sometimes address one person with the primary intention of being overheard by someone else. And, sometimes speakers say something simply in order to make it possible for someone else to say that they said it. Politicians generating sounds bites for the media are an (...) example of this kind of indirection. In this paper, I will explore—via a series of fictionalized examples—these less discussed forms of indirection and consider how such forms of indirection can be duplicitous and misleading. (shrink)

ABSTRACT The rise of social media has correlated with an increase in political polarization, which many perceive as a threat to public discourse and democratic governance. This paper presents a framework, drawing on social epistemology and the economic theory of public goods, to explain how social media can contribute to polarization, making us collectively poorer, even while it provides a preferable media experience for individual consumers. Collective knowledge and consensus is best served by having richly connected networks that are epistemically (...) integrated: individuals with diverse levels of expertise should be relatively well connected to each other. In epistemically segregated networks, by contrast, we have reason to predict collective epistemic failures. Expert knowledge will be isolated from the majority, leading average opinion to be less informed than is socially optimal, and entrenching disagreements. Because social media enables users to very easily adopt homophilous network connections – connections to those with similar opinions, education levels, and social backgrounds – it is likely to have increased epistemic segregation compared to older media platforms. The paper explains the theoretical foundations of these predictions, and sketches regulatory measures – such as taxes – that might be employed to preserve the public good of a well integrated social media network. (shrink)

New technologies are the source of uncertainties about the applicability of moral and morally connotated concepts. These uncertainties sometimes call for conceptual engineering, but it is not often recognized when this is the case. We take this to be a missed opportunity, as a recognition that different researchers are working on the same kind of project can help solve methodological questions that one is likely to encounter. In this paper, we present three case studies where philosophers of technology implicitly engage (...) in conceptual engineering (without naming it as such). We subsequently reflect on the case studies to find out how these illustrate conceptual engineering as an appropriate method to deal with pressing concerns in the philosophy of technology. We have two main goals. We first want to contribute to the literature on conceptual engineering by presenting concrete examples of conceptual engineering in the philosophy of technology. This is especially relevant, because the technologies that are designed based on the conceptual work done by philosophers of technology potentially have crucial moral and social implications. Secondly, we want to make explicit what choices are made when doing this conceptual work. Making explicit that some of the implicit assumptions are, in fact, debated in the literature allows for reflection on these questions. Ultimately, our hope is that conscious reflection leads to an improvement of the conceptual work done. (shrink)

We present a novel model of individual people, online posts, and media platforms to explain the online spread of epistemically toxic content such as fake news and suggest possible responses. We argue that a combination of technical features, such as the algorithmically curated feed structure, and social features, such as the absence of stable social-epistemic norms of posting and sharing in social media, is largely responsible for the unchecked spread of epistemically toxic content online. Sharing constitutes a distinctive communicative act, (...) governed by a dedicated norm and motivated to a large extent by social identity maintenance. But confusion about this norm and its lack of inherent epistemic checks lead readers to misunderstand posts, attribute excess or insufficient credibility to posts, and allow posters to evade epistemic accountability—all contributing to the spread of epistemically toxic content online. This spread can be effectively addressed if people and platforms add significantly more context to shared posts and platforms nudge people to develop and follow recognized epistemic norms of posting and sharing. (shrink)

Models of content-sharing behavior on online social media platforms typically represent content spread as a diffusion process modeled on contagious diseases; users’ behavior is modeled with single-agent decision theory. However, social media platforms are interactive spaces where users care about reactions to, and further spread of, the content they post. Thus, social media interaction falls under the intended use cases for game theory. In contrast to existing models leaving strategic reasoning out, we capture agents’ social media decisions within a cognitive (...) hierarchy framework, which can be interpreted as making formally precise how agents make strategic choices based on mutual expectations of rationality. Analytically, we identify limit cases in which a platform can be swamped with content that no agents personally like but all expect to elicit reactions (think obvious fake-news). We then use agent-based simulations to show that a range of more realistic cases give rise to similar outcomes. (shrink)