Twitter makes conversation into something like a game. It scores our communication, giving us vivid and quantified feedback, via Likes, Retweets, and Follower counts. But this gamification doesn’t just increase our motivation to communicate; it changes the very nature of the activity. Games are more satisfying than ordinary life precisely because game-goals are simpler, cleaner, and easier to apply. Twitter is thrilling precisely because its goals have been artificially clarified and narrowed. When we buy into Twitter’s gamification, then our values (...) shift from the complex and pluralistic values of communication, to the narrower quest for popularity and virality. Twitter’s gamification bears some resemblance with the phenomena of echo chambers and moral outrage porn. In all these phenomena, we are instrumentalizing our ends for hedonistic reasons. We have shifted our aims in an activity, not because the new aims are more valuable, but in exchange for extra pleasure. (shrink)

We investigate the role of social-media-triggered public pressure on corporate social responsibility that includes expectations of transparency and accountability on the firm’s part, and participative/evaluative inputs on the public’s part. Using the date when S&P 500 firms established corporate Twitter accounts, we investigate the impact of corporate social media exposure on CSR outcomes. Results from baseline regressions indicate that firms with Twitter accounts significantly outperform industry peers in CSR rating, after controlling for firm and industry characteristics. To test potential reverse (...) causality, we use a dynamic treatment effect model to explore within firm changes of CSR, and find that firms’ CSR rating improves in year one- and year two after establishing a Twitter account, while no difference emerged in similar comparisons with peers prior to the Twitter account establishment. Additionally, Granger causality tests results show that corporate Twitter presence improves CSR performance; it is also shown that CSR outcomes do not motivate corporations to establish a social media presence on Twitter. Finally, firms with more experience on Twitter, and those with more followers, tweets or Twitter accounts are associated with improved CSR outcomes. We draw on two theories and qualitative interviews with senior CSR executives to explain why social media influences CSR firm behaviors. (shrink)

“Why are millions of dollars worth of orders being left unpaid?”. With tweets like this questioning brands’ policies, activists advocating for sustainable fashion re-discuss material starting points that are assumed by fashion brands, who argue that they are sustainable because they care about their workers’ conditions. This paper argues that activists use tweets to open _subdiscussions on material starting points_ to engage citizens and consumers, re-discussing factual _data_ that brands take for granted, such as the fact that they provide fair (...) conditions for their garment workers. Activists justify their opening of subdiscussions, often through an argumentative pattern that includes an argument based on the _locus from effects to cause_. They argue that if there are negative effects, the brand cannot claim to care about the conditions of its workers. In discussing how subdiscussions are used by fashion activists, this paper also introduces a conceptualization of Twitter argumentation as a discussion that is not isolated, but is part of a polylogical argumentation that takes place in different venues. For this reason, the argumentation used in tweets is reconstructed as a response to a fashion brand’s communication campaigns around sustainability, which extend beyond the confines of Twitter. As an empirical illustration, this paper is based on the campaign targeting fashion retailer Primark; the dataset includes the brand’s website as well as activists’ tweets. (shrink)

Social media is changing social accountability practices. The release of the Panama Papers on April 3, 2016 by the International Consortium of Investigative Journalists (ICIJ) unleashed a tsunami of over 5 million tweets decrying corrupt politicians and tax-avoiding business elites, calling for policy change from governments, and demanding accountability from corporate and private tax avoiders. The current study uses 297,000+ original English-language geo-codable tweets with the hashtags #PanamaGate, #PanamaPapers, or #PanamaLeaks to examine the trajectory of Twitter-based social accountability conversations and (...) the potential for the emergence of a longer-term social accountability user network. We propose that it is the combination of financial inscriptions and evaluative ethical utterances that incite and sustain social accountability conversations and social accountability networks. Financial inscriptions simultaneously remind audiences of both the information event that fomented the initial public reaction and the monetary magnitude of the event. Value-based ethical messaging, in turn, enunciates an ethical stance that simultaneously evaluates existing practices and emphasizes the need for accountability. It is the combining of these two types of messaging that helps to construct and sustain a normative narrative about social accountability. The results illustrate how the repetition and re-working of these two forms of messaging facilitated the construction of a normative narrative that coalesced into a social accountability network which persisted beyond the initial Panama Paper information event and which was re-activated in 2017 when the ICIJ published the Paradise Papers. (shrink)

1. Social media is an utterly transformative technology. In 1960, A. J. Liebling could truthfully quip, ‘Freedom of the press is guaranteed only to those who own one’ (1960, 105). In 2023, this is...

In the past few years, a wave of protest has spread across the world. The particularity of these uprisings lies in the way the Internet is used to support them. Scholars have analyzed these movements as being closely related to a generation that relies on the Internet as a means of organizing themselves as a force of social change. That is, the Internet is seen as a way of promoting the active participation of young people in political issues. Public opinion (...) and the mass media hail the Arab Spring revolutions as movements beneficial to the democratization of oppressive regimes. By contrast, when disobedient movements emerge in democratic countries, they are generally more cautious in evaluating these movements as enriching democracy. This cautious opinion also concerns the use of social media. In this article, the so-called Twitter revolutions are discussed in light of the theories of social psychology that analyze the relationship between disobedience and democracy. (shrink)

Political representatives with excessive authority and a lack of deliberation and co-legislation with their electors, provoke protests that desire to have influence over the State. Traditional mass media (television, radio, newspapers and cinema) and the Web 1.0 (lists of e-mails and non-interactive websites) created distance among them because they reduced the electorate to fewer recipients. But the new media from the Web 2.0 (Blogs, Facebook, Wikis, and in particular the Micro-Bloggins and Twitter) pretend to improve old limitations. Likewise, the first (...) supposed we had a democracy and so we searched for information online, on the other hand, the new gives information and demands democracy. The idea exposed on this article is how the new Web 2.0 seeks to exceed the limits of traditional participation and to dissolve, more than surpassing, citizen’s frontiers of political activity on the Web. (shrink)

This paper addresses the problem of Twitter sentiment analysis through a hybrid approach in which SentiWordNet (SWN)-based feature vector acts as input to the classification model Support Vector Machine. Our main focus is to handle lexical modifier negation during SWN score calculation for the improvement of classification performance. Thus, we present naive and novel shift approach in which negation acts as both sentiment-bearing word and modifier, and then we shift the score of words from SWN based on their contextual semantic, (...) inferred from neighbouring words. Additionally, we augment negation accounting procedure with a few heuristics for handling the cases in which negation presence does not necessarily mean negation. Experimental results show that the contextual-based SWN feature vector obtained through shift polarity approach alone led to an improved Twitter sentiment analysis system that outperforms the traditional reverse polarity approach by 2–6%. We validate the effectiveness of our hybrid approach considering negation on benchmark Twitter corpus from SemEval-2013 Task 2 competition. (shrink)

In our text, we follow the traces of a (1) paradox, (2) an ambivalence and (3) a dialectic that constitute digitalized public spheres and discuss the resulting tensions in discourse-ethical and political-theoretical perspectives using the blocking of Donald J. Trump’s Twitter account as an example. Starting from this, we determine the conditions of constitution of the digital public sphere and locate the dynamics of its development in the dialectical tension between private and public: The fact that the two other relations (...) of autonomy and heteronomy, intensification and polarization come to such a head is based on an insufficient socialization of all those means of production that produce the current digital public sphere. Using the example of Donald J. Trump’s recently suspended Twitter account and with a view to Habermas’s discourse ethics, we illustrate the extent to which Trump’s partly racist and conspiracy-theoretical post violates discourse ethics standards and is also highly problematic with regard to the political; however, banishment from a part of the digital public sphere is certainly not an act that should be incumbent on a private company. From this, we conclude that the normative potentials of digital public spheres can only be vol. (shrink)

This unique book provides an introductory overview of modern theoretical linguistics which manages to be both accessible and humorous without sacrificing either scholarship of insight. In a series of magisterial vignettes Smith emphasizes the perennial necessity of appealing to linguistic theory if we are to gain any real understanding of the phenomena of language. However profound or however trivial the questions we raise and try answer - What exactly does one have to know to count as a speaker of a (...) language? What would it mean for a language to have no vowels? Why do little children call lorries 'lollies'? Precisely what with this sentence is wrong? - we need to recourse to a theory even to make them coherent. In particular, the author argues that we can find solutions to our puzzles, and explanations for these phenomena, if we exploit on the one hand Chomsky's theory of Generative Grammar, and on the other Sperber and Wilson's theory of Relevance. (shrink)

On 25 May 2020, Officer Derek Chauvin asphyxiated George Floyd in Minneapolis — a murder that was captured in a confronting nine-minute bystander video that set off a firestorm of activity on online social networks, in the streets of the United States, and even worldwide. These protests captured the collective rage, dissatisfaction, and resentment personally and vicariously experienced towards the widespread systematic injustice and mistreatment of African Americans by police and vigilantes. The scale of these protests, both online and in (...) the streets, has been estimated to have far exceeded the civil rights marches of the 1960s (Buchanan et al. 2020). Considering the widespread extent of these protests, our research aims to analyse conflictual intergroup moral dynamics in terms of the reactive attitudes expressed by distinct online communities on Twitter. This paper examines the extent to which the Strawsonian (1962) reactive attitudes framework is applicable to the Twitter discourse around the Black Lives Matter protests reignited by the murder of George Floyd. In particular, we argue that the Strawsonian framework is inadequate to understand a range of prevalent attitudes expressed in this discourse — attitudes that we call reactionary as opposed to merely reactive. Reactionary attitudes include counter-indignation on behalf of the accused rather than Strawsonian indignation on behalf of the victim of a moral wrong. We document the expression of such attitudes among the right-wing participants in the online discourse about the Black Lives Matter movement. (shrink)

In recent years, considerable discussion has taken place regarding how to ensure business students are acquiring effectively the appropriate competencies related to Ethics, Corporate Social Responsibility and Sustainability. Instructors in business education are encouraged to explore new methods for teaching ECSRS to strengthen this vital part of the curriculum and technology could play an important role. In this paper, we discuss why Twitter could be an effective teaching method in ECSRS education. The study provides a conceptual framework for the use (...) of Twitter taking into account its major characteristics, main benefits, drawbacks, and key factors designing strategies. Some practical activities are also provided to encourage instructors to take more initiatives using Twitter and contribute to improving ECSRS education. (shrink)

Talk at the Philosophy [in:of:for:and] Digital Knowledge Infrastructures online workshop 2023 (28/09/2023).

The ICIJ’s release of the _Panama Papers_ in 2016 opened up a wealth of previously private financial information on the tax avoidance, tax evasion, and wealth concealment activities of politicians, government officials, and their allies. Drawing upon prior accountability and ethics focused research, we utilize a dataset of almost 28 M tweets sent between 2016 and early 2020 to consider the microdetails and overall trajectory of this particular social accountability conversation. The study shows how the publication of previously private financial (...) information triggered a Twitter-based social accountability conversation. It also illustrates how social accountability utterances are intra-textually constructed by the inclusion of social characters, the personal pronoun ‘we,’ and the use of deontic responsibility verbs. Finally, the study highlights how the tweets from this group of participants changed over the longer-term but continued to focus on social accountability topics. The provided analysis contributes to our understanding of social accountability, including how the release of previously private accounting-based financial information can trigger a grassroots social accountability conversation. (shrink)

This article considers today’s ‘post-digital’ political publishing through the material forms of an experimental book, The 2015 Baltimore Uprising: A Teen Epistolary. Anonymously published and devoid of all editorial text, the book is comprised entirely of some 650 screen-grabbed tweets, tweets posted by black Baltimore youth during the riots that ensued on the police killing of Freddie Gray. It is a crisis-ridden book, bearing the wrenching anti-black terror and rebellion of Baltimore 2015 into the horizon of publishing. Drawing on critical (...) theories of books and digital media, and bringing Saidiya Hartman and Frank Wilderson to bear on issues of publishing, the article appraises seven aspects of this book’s materiality: its epistolary structure and rupture with the book-as-closure; its undoing of the commodity form of books; the ‘poor image’ of its visual scene; its recourse to facial redaction and voiding of narrative progression; and its destabilization of readers’ empathy. (shrink)

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)

PurposeThe purpose of this study to shed light on the importance of social media hosted content related to socially-motivated discussions. Moving from the field of communication for development, the research leverages social media as a powerful tool for collecting and analyse peer-to-peer communication towards the conceptualization of eVoices of Unheard. The deep understanding of these conversation can generate recommendations for organizations and governments designing and providing interventions fostering local socio-economic development.Design/methodology/approachThe study presents a large-scale analysis of social media interactions on (...) the topic “#favela” to generate insights into a social network structure, narrative contents and meaning generated.FindingsStructurally, the analysed networks are comparable with those presented in current academic literature; automatic text analysis confirmed the promise of the inner value of communication for development opening the floor to conceptualization of the “eVoices of unheard”, which is the collective and conscious use of social media to mediate community discussions about tangible and intangible issues related to socio-economic development.Originality/valueFramed within the rise of interactive communication for development this research show that social media an support the notion of voice proposed by Couldry moving from process towards value thereby understanding intangible issues related with socio-economic development. (shrink)

This article explores the interesting connection between social movements and new social media also referred to as web 2.0. It is argued that the public as well as parts of the scientific debate about the impact of new media on social change is to a large degree dominated by two rigid camps, namely Internet-utopians on the one side and Internet-sceptics on the other side. Both positions tend to degenerate into technological determinism. Furthermore, they ignore the long tradition for the critical (...) study of alternative media and their role as critical and oppositional communication tools for social movements. In order to analyse how social movements challenge dominant and hegemonic worldviews, the article calls for a socially oriented media theory with a sensibility for analytical concepts and frameworks. Such a theoretical and contextual framework can be used in order to produce empirically based insights into the relation between protest movements, social media use and actual political change. (shrink)

David GormanNorthern Illinois UniversityThe official topic of Steve Fuller’s editorial is aphorisms, but I think that it is early days in his thinking about this interesting genre. He mentions them...

Recently, significant research effort has focused on using Twitter to investigate mental health at the population-level. While there has been influential work in developing ethical guidelines for Internet discussion forum-based research in public health, there is currently limited work focused on addressing ethical problems in Twitter-based public health research, and less still that considers these issues from users’ own perspectives. In this work, we aim to investigate public attitudes towards utilizing public domain Twitter data for population-level mental health monitoring using (...) a qualitative methodology. The study explores user perspectives in a series of five, 2-h focus group interviews. Following a semi-structured protocol, 26 Twitter users with and without a diagnosed history of depression discussed general Twitter use, along with privacy expectations, and ethical issues in using social media for health monitoring, with a particular focus on mental health monitoring. Transcripts were then transcribed, redacted, and coded using a constant comparative approach. While participants expressed a wide range of opinions, there was an overall trend towards a relatively positive view of using public domain Twitter data as a resource for population level mental health monitoring, provided that results are appropriately aggregated. Results are divided into five sections: a profile of respondents’ Twitter use patterns and use variability; users’ privacy expectations, including expectations regarding data reach and permanence; attitudes towards social media based population-level health monitoring in general, and attitudes towards mental health monitoring in particular; attitudes towards individual versus population-level health monitoring; and users’ own recommendations for the appropriate regulation of population-level mental health monitoring. Focus group data reveal a wide range of attitudes towards the use of public-domain social media “big data” in population health research, from enthusiasm, through acceptance, to opposition. Study results highlight new perspectives in the discussion of ethical use of public data, particularly with respect to consent, privacy, and oversight. (shrink)

Increasingly, social media platforms are understood by researchers to be valuable sites of politically-relevant discussions. However, analyses of social media data are typically undertaken by focusing on ‘snapshots’ of issues using query-keyword search strategies. This paper develops an alternative, less issue-based, mode of analysing Twitter data. It provides a framework for working qualitatively with longitudinally-oriented Twitter data, and uses an empirical case to consider the value and the challenges of doing so. Exploring how Twitter users place “everyday” talk around the (...) socio-political issue of UK welfare provision, we draw on digital ethnography and narrative analysis techniques to analyse 25 user-timelines and identify three distinctions in users’ practices: users’ engagements with welfare as TV entertainment or as a socio-political concern; the degree of sustained engagement with said issues, and; the degree to which users’ tweeting practices around welfare were congruent with or in contrast to their other tweets. With this analytic orientation, we demonstrate how a longitudinal analysis of user-timelines provides rich resources that facilitate a more nuanced understanding of user engagement in everyday socio-political discussions online. (shrink)

The global spread of the novel coronavirus is affected by the spread of related misinformation—the so-called COVID-19 Infodemic—that makes populations more vulnerable to the disease through resistance to mitigation efforts. Here, we analyze the prevalence and diffusion of links to low-credibility content about the pandemic across two major social media platforms, Twitter and Facebook. We characterize cross-platform similarities and differences in popular sources, diffusion patterns, influencers, coordination, and automation. Comparing the two platforms, we find divergence among the prevalence of popular (...) low-credibility sources and suspicious videos. A minority of accounts and pages exert a strong influence on each platform. These misinformation “superspreaders” are often associated with the low-credibility sources and tend to be verified by the platforms. On both platforms, there is evidence of coordinated sharing of Infodemic content. The overt nature of this manipulation points to the need for societal-level solutions in addition to mitigation strategies within the platforms. However, we highlight limits imposed by inconsistent data-access policies on our capability to study harmful manipulations of information ecosystems. (shrink)

Este estudo busca discutir e analisar a construção da opinião pública no Twitter, tomando como estudo de caso a nomeação de Alexandre de Moraes para substituir Teori Zavascki como ministro do Supremo Tribunal Federal. A base teórica é formada a partir das relações entre o conceito de esfera pública e os sites de redes sociais. Para realizar esta análise, foram adotados métodos mistos, baseados na análise de contingência e na análise de redes. O corpus deste estudo é composto por 15.125 (...) tweets, coletados do Twitter utilizando “Alexandre de Moraes” como termo de coleta. Os dados foram analisados por meio das coocorrências entre os conceitos dos tweets, sendo possível observar os principais assuntos discutidos e posicionamentos dos usuários, em sua maioria contrários à indicação de Moraes. (shrink)

Employing Critical Autism Studies and Narrative Analysis, this project examines how autistic Twitter users engage in narrative meaning-making through social media. By analyzing the hashtags #ActuallyAutistic and #AskingAutistics this project broadly explores how individuals construct identity when lacking access to positive representations and identity communities. Answering the research question, “How do autistic people construct individual and collective identity narratives through Twitter?,” findings indicate that autistic Twitter users use their social media presence to build virtual learning communities. Common knowledge about autism (...) is often oversimplified and highly medicalized. Therefore, autistics use Twitter to make meaning of their experiences that are not represented within cultural notions of what it means to be autistic. Autistic Twitter users reject medicalized narratives by contesting stereotypes, flipping negative narratives into positive stories, re-inscribing “deficiencies” as beneficial, and resisting rehabilitation and “cure.” Users do important social activist work by building strong autistic communities in ways that counter current negative representation, constructing positive self-affirming individual and community identities and resisting eugenic notions that autistic people are “less valuable.”. (shrink)

This paper investigates the structure of networked publics and their sharing practices in Persian Twitter during a period surrounding Iran’s 2017 presidential election. Building on networked gatekeeping and framing theories, we used a mixed methodological approach to analyze a dataset of 2,596,284 Persian tweets. Results revealed that Twitter provided a space for Iranians to discuss public topics. However, this space is not necessarily used by voiceless and marginalized groups; and the uses are not limited to discussing controversial issues. The growing (...) body of conservative crowdsourced elites emerged to defend the regime’s ideology. Moreover, the dominant networked frames were shaped around normal and routine subjects in an election time. Thus, Twitter was not a platform for only seeking liberal demands. It was to some extent used to serve the regime’s political interests. Furthermore, while many ordinary users rose to prominence, mainstream media continued to act as powerful players. This study contributes to the existing literature into networked practices, digital democracy, and citizen journalism; particularly in restrictive contexts. (shrink)

Digital technology has prompted philosophers to rethink some of the fundamental categories we use to make sense of the world and ourselves. Particularly, the concept of ‘identity’ and its reconfiguration in the digital age has sparked much debate in this regard. While many studies have addressed the impact of the digital on personal and social identities, the concept of ‘collective identity’ has been remarkably absent in such inquiries. In this article, I take the context of social movements as an entry (...) point to discuss the reconfiguration of collective identity in social media environments. I do so by introducing a narrative approach to collective identity. I argue that Twitter’s affordances invite new ways of constructing collective identities and imply a shifting relationship between the individual and the collective. (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)

ABSTRACTThe evolution and adaptation of journalistic practice in response to discourses taking place in networked and shared media environments and the implications of same have been the focus of much academic attention in recent years. This paper examines the agenda-setting potential of Twitter and considers how this feeds into and affects journalistic output. It does so by applying a Critical Discourse Analysis framework in considering whether reportage on particular news events are re-framed in the aftermath of Twitter campaigns. In August (...) 2016, the Irish media’s framing of the Hawe murder suicide via sourcing, emphasis and agency drew widespread criticism on social media for its perceived ‘omission’ or ‘significant silence’ about one of the victims, Clodagh Hawe, from the narrative in favour of a greater focus on the perpetrator, Alan Hawe. Criticism of the initial coverage of the incident was in large part driven by the #hernamewasclodagh social media campaign. This paper takes an intertextual... (shrink)

The current study examines the micro-linguistic details of Twitter responses to the whistleblower-initiated publication of the Panama Papers. The leaked documents contained the micro-details of tax avoidance, tax evasion, and wealth accumulation schemes used by business elites, politicians, and government bureaucrats. The public release of the documents on April 4, 2016 resulted in a groundswell of Twitter and other social media activity throughout the world, including 161,036 Spanish-language tweets in the subsequent 5-month period. The findings illustrate that the responses were (...) polyvocal, consisting a collection of overlapping speech genres with varied thematic topics and linguistic styles, as well as differing degrees of calls for action and varying amounts of illocutionary force. The analysis also illustrates that, while the illocutionary force of tweets is somewhat associated with the adoption of a prosaic and vernacular ethical stance as well as with demands for action, these types of voicing behaviors were not present in the majority of the tweets. These results suggest that, while social media platforms are a popular site for collective forms of voicing activities, it is less certain that these collective stakeholder voices necessarily result in forceful accountability demands that spill out of the communication medium and thus serve as an impulse for positive social change. (shrink)

In online social networks, the audience size commanded by an organization or an individual is a critical measure of that entity’s popularity and this measure has important economic and/or political implications. Such efforts to measure popularity of users or exploit knowledge about their audience are complicated by the presence of fake profiles on these networks. In this study, analysis of 62 million publicly available Twitter user profiles was conducted and a strategy to identify automatically generated fake profiles was established. Using (...) a combination of a pattern-matching algorithm on screen-names and an analysis of update times, a reasonable number of highly reliable fake user accounts were identified. Analysis of profile creation times and URLs of these fake accounts revealed their distinct behavior relative to a ground truth data set. The characteristics of friends and followers of users in the two data sets further revealed the very different nature of the two groups. The ratio of number of followers-to-friends for ground truth users was ∼1, consistent with past observations, while the fake profiles had a median ratio ∼30, indicating that the fake users we identified were primarily focused on gathering friends. An analysis of the temporal evolution of accounts over 2 years showed that the friends-to-followers ratio increased over time for fake profiles while they decreased for ground truth users. Our results, thus, suggest that a profile-based approach can be used for identifying a core set of fake online social network users in a time-efficient manner. (shrink)

This paper asks whether geographically localised, or ‘hyperlocal’, uses of Twitter succeed in creating peer-to-peer neighbourhood networks or simply act as broadcast media at a reduced scale. Literature drawn from the smart cities discourse and from a UK research project into hyperlocal media, respectively, take on these two opposing interpretations. Evidence gathered in the case study presented here is consistent with the latter, and on this basis we criticise the notion that hyperlocal social media can be seen as a community (...) in itself. We demonstrate this by creating a network map of Twitter followers of a popular hyperlocal blog in Brockley, southeast London. We describe various attributes of this network including its average degree and clustering coefficient to suggest that a small and highly connected cluster of visible local entities such as businesses form a clique at the centre of this network, with individual residents following these but not one another. We then plot the locations of these entities and demonstrate that sub-communities in the network are formed due to close geographical proximity between smaller sets of businesses. These observations are illustrated with qualitative evidence from interviews with users who suggest instead that rather than being connected to one another they benefit from what has been described as ‘neighbourhood storytelling’. Despite the limitations of working with Twitter data, we propose that this multi-modal approach offers a valuable way to investigate the experience of using social media as a communication tool in urban neighbourhoods. (shrink)

The ongoing expansion of new communication technologies is inseparably linked to the transformation of political communication. The new thinking behind communication is embedded directly in the code of popular social networks. Can a formal political party successfully implement a decentralized mode of communication based on personal connections and weak social ties, or is it against the very logic of both the hierarchical organizations and the technology itself? Our case study describes the vast spectrum of various types of behavior of political (...) actors on Twitter through computer-assisted analysis of Twitter communication in Czech Republic before the elections to the European Parliament in May 2014. The research is based on the concept of connective action, as defined by Bennett and Segerberg. Preliminary results show an emerging typology of campaign strategies, from formal and centralized campaigns on one hand to various hybrid overlaps of traditional and new forms of communication on the other. (shrink)

Laacke et al. investigate the ethical implications of possible artificial intelligence systems that automatically detect signs of depression by analyzing data from social media. The art...

An biographical Twitter-theology. Due to the increasing challenges created by an evolving digital world, traditional expressions of the Christian faith could become irrelevant for a fast-paced world. Through an autobiographical orientation, a search for meaningful personal expressions of the Christian faith on Twitter is traced and mapped down. Facilitated through a practical-theological inquiry and employing a qualitative empirical research methodology, personal aphorisms of the Christian faith on Twitter are traced down and presented as possible examples of a relevant digital autobiographical (...) theology. Through the contribution of these empirical realities, new hermeneutical outcomes and a strategic involvement are facilitated. The creation, development and meaning of new theological formulations and articulations are explored and described through these expressions. In the tracing of and in the mapping down of these new expressions of faith, demarcations of a possible lived spirituality in the digital sphere are sounded out and verbalised. Through the documentation of these new and relevant articulations of the language of faith, a contribution is made to a meaningful digital autobiographical theology. (shrink)

Context. Social media platforms such as Facebook and Twitter carry a big load of people’s opinions about politics and leaders, which makes them a good source of information for researchers to exploit different tasks that include election predictions. Objective. Identify, categorize, and present a comprehensive overview of the approaches, techniques, and tools used in election predictions on Twitter. Method. Conducted a systematic mapping study on election predictions on Twitter and provided empirical evidence for the work published between January 2010 and (...) January 2021. Results. This research identified 787 studies related to election predictions on Twitter. 98 primary studies were selected after defining and implementing several inclusion/exclusion criteria. The results show that most of the studies implemented sentiment analysis followed by volume-based and social network analysis approaches. The majority of the studies employed supervised learning techniques, subsequently, lexicon-based approach SA, volume-based, and unsupervised learning. Besides this, 18 types of dictionaries were identified. Elections of 28 countries were analyzed, mainly USA and Indian elections. Furthermore, the results revealed that 50% of the primary studies used English tweets. The demographic data showed that academic organizations and conference venues are the most active. Conclusion. The evolution of the work published in the past 11 years shows that most of the studies employed SA. The implementation of SNA techniques is lower as compared to SA. Appropriate political labelled datasets are not available, especially in languages other than English. Deep learning needs to be employed in this domain to get better predictions. (shrink)

Social network services such as Twitter are important venues that can be used as rich data sources to mine public opinions about various topics. In this study, we used Twitter to collect data on one of the most growing theories in education, namely Self-Regulated Learning and carry out further analysis to investigate What Twitter says about SRL? This work uses three main analysis methods, descriptive, topic modeling, and geocoding analysis. The searched and collected dataset consists of a large volume of (...) relevant SRL tweets equal to 54,070 tweets between 2011 and 2021. The descriptive analysis uncovers a growing discussion on SRL on Twitter from 2011 till 2018 and then markedly decreased till the collection day. For topic modeling, the text mining technique of Latent Dirichlet allocation was applied and revealed insights on computationally processed topics. Finally, the geocoding analysis uncovers a diverse community from all over the world, yet a higher density representation of users from the Global North was identified. Further implications are discussed in the paper. (shrink)

The principle of homophily says that people associate with other groups of people who are mostly like themselves. Many online communities are structured around groups of socially similar individuals. On Twitter, however, people are exposed to multiple, diverse points of view through the public timeline. The authors captured 30,000 tweets about the shooting of George Tiller, a late-term abortion doctor, and the subsequent conversations among pro-life and pro-choice advocates. They found that replies between like-minded individuals strengthen group identity, whereas replies (...) between different-minded individuals reinforce in-group and out-group affiliation. Their results show that people are exposed to broader viewpoints than they were before but are limited in their ability to engage in meaningful discussion. They conclude with implications for different kinds of social participation on Twitter more generally. (shrink)

The instrumental benefits of firm’s CSR activities are contingent upon the stakeholders’ awareness and favorable attribution. While social media creates an important momentum for firms to cultivate favorable awareness by establishing a powerful framework of stakeholder relationships, the opportunities are not distributed evenly for all firms. In this paper, we investigate the impact of CSR credentials on the effectiveness of social media as a stakeholder-relationship management platform. The analysis of Fortune 500 companies in the Twitter sphere reveals that a higher (...) CSR rating is a strong indicator of an earlier adoption, a faster establishment of online presence, a higher responsiveness to the firm’s identity, and a stronger virality of the messages. Incidentally, the higher CSIR rating is also found to be associated with the stronger virality. Our findings also suggest that socially responsible firms can harvest proactive stakeholders’ participation without investing more resources. As the first study that conceptualizes the social media as a proponent of CSR, this paper contends that “being socially responsible” makes more practical sense for firms with the rise of social media. (shrink)

This paper explores the transformation of Twitter from the traditional developer based command and control into something strangely democratic: a social construction of utility, a twisting of this once unique service to serve the needs and desires, ever evolving, of its users. We explore changes in the social constructions of Twitter and use recent research in the Philosophy of Data to suggest potential explanations.

While there is an increasing focus on the use of online networks among autistic users, how autistic adults communicate in social networking sites remains underexplored. The article puts forward an argument for combining systematic observation of digital practices with analysis of evaluative language in order to provide a situated account of ‘autistic sociality’ in social media. Drawing on practice-based theories of social media affordances and discourse analysis research on online self-presentation and affiliation we show how autistic Twitter users rely on (...) association, content persistence and editability in order to signal social engagement through different forms of interaction and alignment. We discuss how the proposed framework can provide a new perspective on communicative practices of autistic social media users and advance development of inclusive digital networking platforms. (shrink)

Protests and counter-protests seek to draw and direct attention and concern with confronting images and slogans. In recent years, as protests and counter-protests have partially migrated to the digital space, such images and slogans have also gone online. Two main ways in which these images and slogans are translated to the online space is through the use of emoji and hashtags. Despite sustained academic interest in online protests, hashtag activism and the use of emoji across social media platforms, little is (...) known about the specific functional role that emoji and hashtags play in online social movements. In an effort to fill this gap, the current paper studies both hashtags and emoji in the context of the Twitter discourse around the Black Lives Matter movement. (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)

During the course of this article, we examine the use of membership categorisation practices by a high-profile celebrity public social media account that has been understood to generate interest, attention and controversy across the UK media ecology. We utilise a data set of harvested tweets gathered from a high-profile public ‘celebrity antagonist’ in order to systematically identify types of antagonistic formulation that have generated different levels of interest within the social media community and beyond. Drawing from classic ethnomethodological studies of (...) banner headlines and other means of generating public interest and ‘making sense’, we respecify high-profile antagonistic tweets as category formulations that exhibit particular and regular membership category features that are reflexively bound to potential antagonistic readings, interest and controversy. In conclusion, we consider how such formulations may be understood to represent resources that constitute ignition points within antagonistic flows of communication and information that can be metaphorically understood as ‘digital wildfires’. (shrink)

Extremism has been a problematic term to define and suggests different and opposing meanings. This study explores how Twitter users conceptualize extremism in Arabic and express their opinions/arguments to construct the term. A corpus of tweets was collected from Twitter API using the word ‘تطرف أو متطرف’ in Arabic for extremist/extremism. A topic modeling algorithm was then applied to the dataset to uncover latent associated concepts underlying extremism, followed by a critical discourse analysis using Van Dijk’s Sociocognitive approach. The discursive (...) and linguistic strategies used by Twitter users to support and justify their views of extremism were examined. The findings demonstrate an ideological influence that controls the concept of extremism, keeping it open to manipulation to serve shared interests and goals. Arab users of Twitter use extremism to promote their groups’ positive schema against others-negative schema. (shrink)

This study uses data from Google Trends and Twitter to analyze how public interest and sentiment towards Universal Basic Income (UBI) changed across all 50 states and Washington D.C. between 2018 and 2021. We specifically selected this time period as it includes both Andrew Yang’s UBI campaign during the Democratic primaries in 2019 and the COVID-19 pandemic in 2020 when UBI gained attention due to the federal government’s unconditional cash payment to almost all citizens. To overcome the limitations of sporadic (...) opinion polls, we built on a recent development of the rescaling method to generate longitudinal Google Trends and conducted Twitter sentiment analysis. We observed a modest rise in public interest in UBI during Andrew Yang’s campaign, especially in blue states, and a significant increase across all states at the onset of the COVID-19 pandemic. Although it quickly waned, the level of public attention became elevated compared to the pre-pandemic level. Contrary to previous studies, our analysis also reveals that overall sentiment became less positive after the peak interest during the pandemic, as more people engaged in online discussions. (shrink)