Online communication can often seem different to offline talk. Structural features of social media sites can shape the things we do with words. In this paper, I argue that the practice of ‘quote-tweeting’ can cause a single utterance that originally performed just one speech act to later perform several different speech acts. This describes a new type of illocutionary pluralism—the view that a single utterance can perform multiple illocutionary acts. Not only is this type more plural than others (if one (...) utterance can acquire many kinds of illocutionary force), but it also shows how illocutionary forces can be accumulated over time. This is not limited to online utterances—some offline contexts are similarly structured, and so offline utterances can also come to perform many different speech acts. (shrink)

Twitter is an instrument used not only for sharing public or personal information, but also for persuading the audience. While specific platforms and software have been developed for analyzing macro-analytical data, and specific studies have focused on the linguistic dimension of the tweets, the argumentative dimension of the latter is unexplored to this date. This paper intends to propose a method grounded on the tools advanced in argumentation theory for capturing, coding, and assessing the different argumentative dimensions of the (...) messages posted on Twitter, focusing on the types of argument communicated, the quality of their premises, and the fallacies committed – including the use of unshared presuppositions and emotive words. This method is applied to a corpus of 843 tweets published by the Italian Minister of the Interior, Mr. Matteo Salvini, from the date of his appointment to the beginning of his campaign for the European elections. The quantitative data provide general indications for detecting the strategies that characterize the argumentative profile of Salvini, which are then analyzed qualitatively. (shrink)

The spreading of false information on social media platforms is becoming increasingly common and thus, is creating an epistemic environment where people don’t know what to believe. Within this essay, I will argue that measures should be taken to address and reduce the spreading of false information on social media platforms, furthermore, accountability mechanisms should be implicated in order to do so.

This article is about the manifestations of similarities between two seemingly distinct groups of Nigerians: cybercriminals and politicians. Which linguistic strategies do Twitter users use to express their opinions on cybercriminals and politicians? The study undertakes a qualitative analysis of ‘engaged’ tweets of an elite law enforcement agency in West Africa. We analyzed and coded over 100,000 ‘engaged’ tweets based on a component of mechanisms of moral disengagement (i.e., advantageous comparison), a linguistic device. The results reveal how respondents (...) defend the actions of online fraudsters (“the deviant group”) by strategically comparing them to the wrongful acts of corrupt politicians (“the respectable group”). Similarly, the results show how respondents positioned this linguistic strategy to compare “the powerless group” (online fraudsters) and “the powerful group” (politicians) in society. Indeed, tweet responses suggest that the Economic and Financial Crimes Commission (EFCC) generally looks downwards for culprits (i.e., online fraudsters) while ignoring fraudulent politicians. We conclude that the process by which some actions are interpreted as a crime compared to others is a moral enterprise. (shrink)

Many philosophers hold that generics (i.e., unquantified generalizations) are pervasive in communication and that when they are about social groups, this may offend and polarize people because generics gloss over variations between individuals. Generics about social groups might be particularly common on Twitter (X). This remains unexplored, however. Using machine learning (ML) techniques, we therefore developed an automatic classifier for social generics, applied it to 1.1 million tweets about people, and analyzed the tweets. While it is often suggested (...) that generics are ubiquitous in everyday communication, we found that most tweets (78%) about people contained no generics. However, tweets with generics received more “likes” and retweets. Furthermore, while recent psychological research may lead to the prediction that tweets with generics about political groups are more common than tweets with generics about ethnic groups, we found the opposite. However, consistent with recent claims that political animosity is less constrained by social norms than animosity against gender and ethnic groups, negative tweets with generics about political groups were significantly more prevalent and retweeted than negative tweets about ethnic groups. Our study provides the first ML-based insights into the use and impact of social generics on Twitter. (shrink)

Dan O’Brien gives an excellent analysis of testimonial knowledge transmission in his article ‘Communication Between Friends’ (2009) noting that the reliability of the speaker is a concern in both externalist and internalist theories of knowledge. O’Brien focuses on the belief states of Hearers (H) in cases where the reliability of the Speaker (S) is known via ‘intimate trust’, a special case pertaining to friendships with a track record of reliable or unreliable reports. This article considers the notion of ‘intimate trust’, (...) specifically in the context of online fan communities, in which the amount of time as a member of an online fan community and the extent of one’s posting history often results in something like ‘intimate trust’ between fans who are, for all other purposes, strangers. In the last two years, Twitter has provided a number of celebrities with a place to update fans and ‘tweet’ back and forth an innumerable number of times in any given day. This accentuates the intimacy to such a level that it becomes a ‘caricature of intimacy’ – the minute-to-minute updates accentuate the illusion that the fan ‘knows’ the celebrity, but the distance and mediation are still carefully maintained. This is an issue with both ethical and epistemological implications for fan-fan and fan-celebrity relationships online, considering ethics of care and ethics of justice, whether fans ‘owe’ celebrities a certain amount of distance and respect, and whether stars owe the fan something in return, either in the sense of reciprocal Kantian duties or Aristotelian moderation. (shrink)

The racist killing of Georg Floyd in the Summer of 2020 created waves of protests not only in the U.S. but all over the globe. In Turkey, my home country, there were also street demonstrations that demanded justice for Floyd, but “Twitter activism” was more popular. Turkish-speaking-twitter became a hotbed for condemnations. Amidst an array of tweets condemning Floyd’s racist killing, one stood out and made it to the headlines of alternative media outlets. A former official of the authoritarian (...) Turkish government, Yusuf Yerkel, wrote the following tweet in Turkish on June 5, 2020, in response to Floyd’s racist killing; here, I provide an English translation of his infamous tweet (the Turkish original of which is still available on Yerkel’s account on Twitter): “The reason that protests grew to this extent in the U.S. seems to be based on a phenomenon, in H. Arendt’s terms, ‘banality of evil,’ which has become evident in the face of Floyd’s murder. An ordinary White cop’s atrocity as an “everyday job” was the tipping point.” Yerkel herein uses Arendt’s notion of the banality of evil (see esp. p. 287 of the book) to describe Derek Chauvin’s atrocious act, where the evil of racist police violence has become ordinary, banal, and “every day.”. (shrink)

The automation of online social life is an urgent issue for researchers and the public alike. However, one of the most significant uses of such technologies seems to have gone largely unnoticed by the research community: religion. Focusing on Islamic Prayer Apps, which automatically post prayers from its users’ accounts, we show that even one such service is already responsible for millions of tweets daily, constituting a significant portion of Arabic-language Twitter traffic. We argue that the fact that a (...) phenomenon of these proportions has gone unnoticed by researchers reveals an opportunity to broaden the scope of the current research agenda on online automation. (shrink)

Arguments are nowadays often presented as soundbites: as slogans, tweets, memes and even gifs. Arguments developed in detail often meet the response TL;DR (Too Long, Didn’t Read). This is unfortunate—especially when tackling the topic of abortion. Soundbites make many pro-life arguments seem stronger than they really are, while the complexities of pro-choice arguments can’t be readily reduced to soundbites.

Sometimes, political bald-faced lies pass for truth. That is, certain groups of people behave according to them – behave as if the political bald-faced lies were true. How can this phenomenon be explained? I argue that to explain it we need to take political bald-faced lies to be performative utterances whose goal is to bring about a worldly state of affairs just in virtue of making the utterance. When the former US-President tweeted ‘we won the election’, people stormed Capitol Hill (...) to protest election fraud and some were killed. In this way, the bald-faced lie was successful in passing for truth. My performative view of political bald-faced lies is to be preferred over various other views such as the contempt for truth view (Lynch 2021), the deception view (Lackey 2013), and the value-signaling view (Stanley 2012). These alternative views fail to adequately account for how political bald-faced lies pass for truth. (shrink)

Value capture occurs when an agent’s values are rich and subtle; they enter a social environment that presents simplified — typically quantified — versions of those values; and those simplified articulations come to dominate their practical reasoning. Examples include becoming motivated by FitBit’s step counts, Twitter Likes and Re-tweets, citation rates, ranked lists of best schools, and Grade Point Averages. We are vulnerable to value capture because of the competitive advantage that such crisp and clear expressions of value have (...) in our private reasoning and our public justification. There is, however, a price. In value capture, we take a central component of our autonomy — our ongoing deliberation over the exact articulation of our values — and we outsource it. And the metrics to which we outsource usually engineered for the interests of some external force, like a large-scale institution’s interest in cross-contextual comprehensibility and quick aggregability. That outsourcing cuts off one of the key benefits to personal deliberation. In value capture, we no longer adjust our values and their articulations in light of own rich experience of the world. Our values should often be carefully tailored to our particular selves or our small-scale communities, but in value capture, we buy our values off the rack. In some cases – like decreasing CO2 emissions – the costs of non-tailored values are outweighed by the benefit of precise collective coordination. In other cases, like in our aesthetic lives, they are not. This suggests that we should want different values suited to different scales. We should want value federalism. Some values are perhaps best pursued at the largest-scale level, others at smaller scales. The problem occurs when we exhibit an excess preference for the largest-scale values – when we consistently let the universal metrics swamp our quieter interests. (shrink)

The detection of hate speech and fake news in political discourse is at the same time a crucial necessity for democratic societies and a challenge for several areas of study. However, most of the studies have focused on what is explicitly stated: false article information, language that expresses hatred, derogatory expressions. This paper argues that the explicit dimension of manipulation is only one – and the least problematic – of the risks of political discourse. The language of the unsaid is (...) much more dangerous and incomparably more difficult to detect, hidden in different types of fallacies and inappropriate uses of emotive language. Through a threefold coding scheme based on the instruments of argumentation theory and pragmatics, a corpus of argumentative tweets published by 4 politicians (Matteo Salvini, Donald Trump, Jair Bolsonaro, and Joseph Biden) within 6 months from their taking office (corresponding to the official end of their election campaign) is analyzed, detecting the types of argument, the fallacies, and the uses and misuses of “emotive words.” This coding results in the argumentation profiles of the speakers, which are compared statistically to show their different implicit strategies and deceptive tactics. (shrink)

In paradigmatic cases of subtweeting, one Twitter user critically or mockingly tweets about another person without mentioning their username or their name. In this chapter, we give an account of the strategic aims of subtweeting and the mechanics through which it achieves them. We thereby hope to shed light on the distinctive communicative and moral texture of subtweeting while filling in a gap in the philosophical literature on strategic speech in social media. We first specify what subtweets are and (...) identify the central features that give rise to their strategic mechanics. Next, we draw attention to problematic aspects of subtweeting and consider conditions under which subtweeting can be justified on moral and prudential grounds. The chapter concludes by discussing practical upshots and noting avenues for future work. (shrink)

Exploring online criticisms of the ‘take the knee’ protest during ‘Euro 2020’, this article examines how alt- and far-right conspiracies were both constructed and communicated via the social media platform, Twitter. By providing a novel exploration of alt-right conspiracies during an international football tournament, a qualitative thematic analysis of 1,388 original tweets relating to Euro 2020 was undertaken. The findings reveal how, in criticisms levelled at both ‘wokeism’ and the Black Lives Matter movement, antiwhite criticisms of the ‘take the (...) knee’ protest were embroiled in alt-right conspiracies that exposed an assumed Cultural Marxist, ‘woke agenda’ in the tournament’s organization and mainstream media coverage. In conclusion, it is argued that conspiratorial discourses, associated with the alt-right, provided a framework through which the protest could be understood. This emphasises how the significance of conspiracy functions to promote the wider dissemination of alt-right ideology across popular cultural contexts, such as sport. (shrink)

Twitter is a popular microblogging platform that enables users to send and share posts of up to 140 characters known as “tweets”. (www.twitter.com). In this paper, I would like to discuss the use of twitter as an interesting social media to teach and generate debate with students. This experience has taken place at the Carlos III University of Madrid with students of law, business and journalism. I am describing the basic guidelines to implement this social media tool as well (...) as the results of this implementation according to my own teaching experience. (shrink)

This article derives from data collected over a six-month period between February and August 2022. Its sampling pertains to members of two general Twitter Lists of philosophy professionals: “Philosophers on Twitter”, limited to a maximum of 4500 active accounts, and “Philosophers”, restricted to accounts surpassing 1000 followers and currently including over 1,100 individuals. The totality of members of these two Lists is referenced in this article as “Philosophy Twitter”. -/- Data was collected in five principal ways from members of these (...) two Lists: 1) Monitoring the List streams, 2) addressing members, including following, retweeting, liking, endorsing, asking, commenting, and replying, 3) probing members’ Twitter activities in their Profiles (“Tweets & replies”), 4) reviewing members’ Twitter Bios, CVs, professional profiles, and websites, and 5) network analysis of members’ quantitative and qualitative association and interaction profiles. -/- The study of this material aimed at revealing interpersonal social structures and processes of philosophy professionals by their Twitter conduct. Its personal purview focused on creators, teachers, researchers, and students and thus excepted schools, colleges, universities, formal associations, and publishers. Particular attention was given to gaining insights on substantive orientation, cooperation, and constructive dialogue versus hierarchic and tribal characteristics. (shrink)

The social media platform Twitter platform has played a crucial role in the Black Lives Matter (BLM) movement. The immediate, flexible nature of tweets plays a crucial role both in spreading information about the movement’s aims and in organizing individual protests. Twitter has also played an important role in the right-wing reaction to BLM, providing a means to reframe and recontextualize activists’ claims in a more sinister light. The ability to bring about social change depends on the balance of (...) these two forces, and in particular which side can capture and maintain sustained attention. The present study examines 2 years worth of tweets about BLM (about 118 million in total). Timeseries analysis reveals that activists are better at mobilizing rapid attention, whereas right-wing accounts show a pattern of moderate but more sustained activity driven by reaction to political opponents. Topic modeling reveals differences in how different political groups talk about BLM. Most notably, the murder of George Floyd appears to have solidified a right-wing counter-framing of protests as arising from dangerous “terrorist” actors. The study thus sheds light on the complex network and rhetorical effects that drive the struggle for online attention to the BLM movement. (shrink)

In real-time, Twitter strongly imprints world events, popular culture, and the day-to-day; Twitter records an ever growing compendium of language use and change; and Twitter has been shown to enable certain kinds of prediction. Vitally, and absent from many standard corpora such as books and news archives, Twitter also encodes popularity and spreading through retweets. Here, we describe Storywrangler, an ongoing, day-scale curation of over 100 billion tweets containing around 1 trillion 1-grams from 2008 to 2020. For each day, (...) we break tweets into 1-, 2-, and 3-grams across 150+ languages, record usage frequencies, and generate Zipf distributions. We make the data set available through an interactive time series viewer, and as downloadable time series and daily distributions. We showcase a few examples of the many possible avenues of study we aim to enable including how social amplification can be visualized through ‘contagiograms’. (shrink)

This Article explores the interpretation and construction of executive orders using as examples President Trump’s two executive orders captioned “Protecting the Nation From Foreign Terrorist Entry Into the United States” (the “Two Executive Orders”). President Trump issued the Two Executive Orders in the context of (among other things) Candidate Trump’s statements such as: “Islam hates us,” and “[W]e can’t allow people coming into this country who have this hatred.” President Trump subsequently provided further context including his tweet about the second (...) of his Two Executive Orders: “People, the lawyers and the courts can call [the second of the Two Executive Orders] whatever they want, but I am calling it what we need and what it is, a TRAVEL BAN!” Although President Trump replaced the first of the Two Executive Orders with the second one and although the Supreme Court by orders dated October 10, 2017 and October 24, 2017, vacated and remanded litigation involving the second order on grounds of mootness, the Two Executive Orders remain highly instructive for those who would understand the interpretation and construction of executive orders. This article therefore examines in detail the original speaker's (i.e., President Trump's) intended meaning and effect of the Two Executive Orders. It performs such examination using insights from the semiotic subfield of pragmatics, a semiotic subfield which explores how real-world people actually use, interpret, and construe language in various real-world contexts (including contexts where the issuer of the Two Executive Orders himself has claimed that “Islam hates us” and has tweeted “TRAVEL BAN!”). Using such insights of pragmatics, this Article also explores why reasonable judges thoroughly versed in legal theory, legal practice, and pragmatics should conclude that President Trump unlawfully targeted Muslims in the Two Executive Orders. This Article, among other things, also questions the sensibility of such notions as “facial legitimacy” to the extent such notions suggest text has meaning apart from context. Keywords: executive orders, speaker meaning, interpretation, construction, semiotics, pragmatics, originalism, speech acts, context, facial legitimacy, Constitutionality, First Amendment,Trump v. Int’l Refugee Assistance Project, Scalia, immigration, semantics, original meaning, travel ban, Trump, textualism. (shrink)

Public organizations communicate with citizens by several ways, and also use social media The purpose of the research is to analyze the Social Responsibility communication of Uruguayan public companies on Twitter. For the analysis of tweets, the Burrrd Twelets tool is used and, as a reference, the methodology proposed by Aldeanueva and Arrabal (2018) identifying a dictionary of terms related to social responsibility.

Las organizaciones públicas se comunican con los ciudadanos de diversas formas, y no están ajenas a la utilización de las redes sociales. La investigación tiene como finalidad analizar la comunicación de la Responsabilidad Social de las empresas públicas uruguayas, a través de la red Twitter. Para el análisis de los tweets se emplea la herramienta Burrrd, Twelets y se utiliza, como referencia, la metodología propuesta por Aldeanueva y Arrabal (2018), identificando un diccionario de términos relacionados con responsabilidad social en (...) las publicaciones realizadas, agrupándolos por temáticas comunes, a fin de analizar qué comunican las organizaciones públicas sobre su responsabilidad social. (shrink)