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This article argues that GamerGate, a critical hashtag event in the history of digital harassment, is key to understanding contemporary identity verification systems and digital labour. We build our argument from a comparative analysis of two case studies: (1) digital journalistic responses to GamerGate and (2) Twitter's account verification 'checkmark' system from 2021 to 2022. These phenomena showcase the linkages between the gendered and raced policing of journalists and users during GamerGate and the rise of 'authenticity' as a key resource for journalists and other platformed creators in the present. We draw on digital games, journalism and critical media studies to analyse the work of 'authenticity'. We argue that platform affordances such as identity verification badges are fundamentally implicated in the work of users to appear 'real', even as the visibility requisite for realness brings uneven risks for marginalised cultural workers. [ABSTRACT FROM AUTHOR]

As sites where social media corporations profess their commitment to principles like community and free speech, policy documents function as boundary objects that navigate diverse audiences, purposes, and interests. This article compares the discourse of values in the Privacy Policies, Terms of Service, and Community Guidelines of five major platforms (Facebook, Instagram, YouTube, Twitter, and TikTok). Through a mixed-methods analysis, we identified frequently mentioned value terms and five overarching principles consistent across platforms: expression, community, safety, choice, and improvement. However, platforms limit their burden to execute these values by selectively assigning responsibility for their enactment, often unloading such responsibility onto users. Moreover, while each of the core values may potentially serve the public good, they can also promote narrow corporate goals. This dual framing allows platforms to strategically reinterpret values to suit their own interests. [ABSTRACT FROM AUTHOR]

In 2017, the MeToo hashtag spread across the globe. However, it showed limited success in the Japanese Twittersphere and instead inspired local initiatives such as #WeToo and #Furawādemo ("flower demo"). To understand this reformulation, we analyzed 15 interviews with Japanese social media users and 119 Japanese newspaper articles. The results corroborate the framework we label VTM (values, topics, media), suggesting that an intersection between perceived Japanese values, the topic's gendered and sexual nature, and media affordances explain the movement's local development. While perceived Japanese values clash against those associated with #MeToo, new formulations "soften" the protest by blending in values such as reserve and harmony. Overall, we show how perceptions of popular values rather than values as essential orientations shape activism. Finally, we discuss the study's implications for understanding cultural variance in cyberactivism, highlighting how divergent notions of "safe space" shape such movements. [ABSTRACT FROM AUTHOR]

Social media platforms like Twitter offer scientists the opportunity to share professional, personal, and scientific information with the public. This study explores the effects of these self-disclosure types. In an online between-subjects experiment (N = 1458), participants rated scientists who disclosed personal information as more likable but less competent, and scientists who disclosed professional information as more competent and engaging. Subsequently, these perceptions influenced tweet engagement and certain scientific attitudes. Social presence served as a mediator between self-disclosure and perceptions. These findings broaden our understanding of science communication on Twitter as situated within a social media platform. [ABSTRACT FROM AUTHOR]

In 2018, Jamal Khashoggi, a Saudi journalist who wrote for the Washington Post, was last seen alive entering the Saudi Consulate in Istanbul. Confirmed news of his murder ignited a heated and polarized public debate on Twitter. We use agenda melding as a theoretical lemma and argue that Twitter sentiment flourishes within multilingual, ad hoc public spheres contributing to an emotional agenda. We examined the Twitter sentiment from 2018 to 2021 by looking at the most popular hashtags used in both the Arabic-and-English language spheres. The daily sentiment analysis of 3,278,464 tweets revealed that both languages had a predominantly negative sentiment; however, the English sphere was more extreme in their emotional expression. An additional analysis of external media URLs found in a subsample of tweets highlighted distinct references to media discourse, emphasizing an East–West divide. Implications for global communication are discussed. [ABSTRACT FROM AUTHOR]

This article proposes a joint application of online network analysis and NLP techniques to explore dynamics of "polarized intersectionality"—that is, how (mis)representations of women that develop online and at the intersection of different axes of discrimination entwine with ideological and affective polarization. We look in particular at whether and how digital (mis)representations change together with political scenarios in which political parties, leaders, and partisan communities more in general swing from collaboration to hostility. Our analysis of two Twitter conversations that put women at the center of attention show that changing political scenarios generate different digital conversations which, in turn, reflect patterns of alliances and rivalry. Regardless of these changes, women are invariantly (mis)represented in narratives that are often weaponized against political enemies in ways that foster both ideological and affective political polarization. [ABSTRACT FROM AUTHOR]

Despite the growing body of literature on hashtag feminism in Western contexts, there is still a significant gap in our knowledge of the ways that feminist hashtag movements are developed in authoritarian societies. Moreover, we do not know much about the mechanisms by which a feminist hashtag movement is disrupted, particularly in non-democratic regimes. Drawing on and contributing to the hashtag feminism literature, we undertook a discursive approach to examine #rape on Persian Twitter to address these gaps. Findings showed that #rape was a space for Iranian users to share abusive experiences, but they went further to discuss barriers of disclosing sexual assault as well. Developing resistive strategies and raising awareness about other muted groups such as LGBTQIA+ were other discursive practices in articulating #rape. This article also pushes forward the existing literature on hashtag feminism by providing empirical analyses of the ways that a feminist movement is disrupted. [ABSTRACT FROM AUTHOR]

Although an increasing amount of aggressive and polarized tweets about climate change are being observed, little is known about how they spread on Twitter. This study focuses on how different types of network gatekeepers use aggressive styles and how the styles affect their propagation. The current study employed a computational method and identified 951 influential accounts from 7.25 million tweets about climate change in 2019 and 2020. We analyzed their use of aggression and politicized cues, and the relationship with the volume of retweets. Results showed that even though aggressive tweets were a small portion of the overall tweets about climate change, aggressive tweets were more likely to be politicized and retweeted. Specifically, aggressive tweets from politicians received the most retweets and news media amplified the aggression. The findings of this study build upon the current knowledge of the use of aggression online and provide practical implications for environmental communicators. [ABSTRACT FROM AUTHOR]

An analysis of 40,000 tweets that trended after the Tarun Tejpal acquittal in India showed that the nature of the debate around issues of molestation and rape exhibited attributes of deliberation and demonstrated that Twitter in India, in certain cases, has strong potential to emerge as a space for deliberative feminist activism. Discussions gave impetus to advocacy around sexual molestation. While the word "victim" was used in more instances rather than the human rights–based term "survivor," Twitter debates were supportive toward survivors of assault. There was minimum trolling and patriarchy was called out as was a legal system that sided with the influential man of power. Although city-bred English-speaking voices dominated, conversations were intersectional in nature acknowledging how the horror of physical assault was perceived by different women belonging to disparate socio-economic strata and how legal systems exacerbated gender related crimes. [ABSTRACT FROM AUTHOR]

This study explores the effect of unprecedented mass isolation during COVID-19 lockdowns through the lens of self-disclosure of loneliness on Twitter. Using a dataset of 30 million public tweets, we use machine learning to identify tweets that contain self-disclosure of loneliness. We find that thousands more people turned to Twitter to express their loneliness during the lockdowns; however, this effect normalized within a month, demonstrating the "ordinization" effect on a collective level. Furthermore, lockdown brought a marked shift in the weekly timings of posting and a change in the accompanying emotions, which were more positive and other-focused. Finally, based on a qualitative analysis, we propose an updated typology of loneliness that captures the possibilities offered by the affordances of social media. Our findings illustrate the profound effect lockdowns had on the societal psychological state and emphasize the importance of mental health resources during extreme and isolating events. [ABSTRACT FROM AUTHOR]

Politicians have discovered Twitter as a tool for political communication. If information provided by politicians is circulated in ideologically segregated user networks, political polarization may be fostered. Using network information on all 1.78 million unique followers of German Members of Parliament by October 2018, follower homogeneity across politicians and parties is measured. While the overall homogeneity is low, politicians of the AfD—a right-wing populist party—stand out with very homogeneous follower networks. These are largely driven by a small group of strongly committed partisans that make up around 7% of the party's but around 55–75% of the average AfD politician's followers. The findings add to the literature by showing potentially unequal distributions of network segregation on Twitter. Furthermore, they suggest that small groups of active users can multiply their influence online, which has important implications for future research on echo chambers and other online phenomena. [ABSTRACT FROM AUTHOR]

One of the few actors whose mission is to provide support and advocacy for refugee communities with limited access to information and services are humanitarian non-governmental organizations (NGOs). This study examines the narratives produced by the leading humanitarian NGOs on one of the most popular social media platforms today—namely, Twitter. The study investigates which narratives are most popular among global NGOs and whether the way they frame the refugee issue is related to Twitter engagement. The findings contribute to scholarship on online communication and user engagement, and also inform humanitarian NGO practices and policy discussions regarding media and migration. [ABSTRACT FROM AUTHOR]

In this study, we explore two parallel networks of discourse during the United Nations Framework Convention on Climate Change (UNFCCC) negotiations of 2019 in Madrid (25th Conference of the Parties, COP25): one produced by news media coverage of the talks; the other by Twitter users who shared news content about the talks. Findings show that transnational public spheres can emerge out of relatively homogeneous moments internal to networks and external to networks (i.e. across multiple networks) at the intersection of certain actors and topics, cultural practices, and commercial and non-commercial (state) institutions. Yet there are persistent divisions along language, geographic, and other lines that encourage the formation of distinct micro-spheres of networked actors (internal heterogeneity), as well as distinct media practices that work to differentiate mass media networks from networks produced by a different set of publics on social media (external heterogeneity). [ABSTRACT FROM AUTHOR]

What does antisemitism look like in the context of political discussions on Twitter? In this article, we introduce the notion of platformed antisemitism. We first define it as a platform-agnostic concept, and then explore it through an exemplary case study of Twitter and its affordances by way of a mixed-methods analysis of discourse surrounding the 2018 US midterm election. Via qualitative textual analysis, we document how political discourse on Twitter is marred by antisemitic conspiracy theories that intersect with QAnon and Trump/MAGA support. Through quantitative content analysis of a sample of 99,062 tweets, we highlight a list of terms and hashtags most often associated with antisemitic speech on Twitter and showcase how specific affordances on the platform (quote-tweets, hashtags) amplify and/or diminutize antisemitic speech. Via Lasso regression, we introduce an antisemitism classifier that can be used to further refine future detection efforts of antisemitic speech. [ABSTRACT FROM AUTHOR]

This article examines YouTubers' 'bot like' behaviour on Twitter and conceptualises it as a defiance of platform power in delimiting the boundaries of 'authenticity'. This entrepreneurial capture of 'botness' is understudied and deserves attention. We focus on a platform with a clear monetisation scheme, YouTube, and on patterns of 'inauthentic' behaviour in how people shared YouTube videos on Twitter during the early stages of the COVID-19 pandemic (February–May 2020). The global coronavirus crisis forced social media platforms to take unprecedented (mostly automated) steps to moderate content and to introduce new policies on 'appropriate' conduct, which we argue may have an impact on emerging social media content creators' attempts to boost visibility online. [ABSTRACT FROM AUTHOR]

We investigate user engagement with politicians' migration discourses on social media. In particular, we study the effects of message framing and support base attitudes on interactions on Facebook and Twitter in five European countries. Enriching automated analysis of social media content with survey data in a multilevel negative binomial regression approach, findings show that migration-related messages tend to elicit more interactions than other kinds of messages. Furthermore, the presence of a security frame in a migration-related message positively relates to user engagement. However, additional analyses suggest that the relevance of these frames differ between different political parties. In fact, a message gets an even higher number of interactions, when the dimension of the migration issue included in those framed messages is perceived more negatively by a party's support base. The findings have important implications for communication strategies of political actors and the state of migration discourses on social media. [ABSTRACT FROM AUTHOR]

This article investigates under which conditions users on Twitter engage with or react to social bots. Based on insights from human–computer interaction and motivated reasoning, we hypothesize that (1) users are more likely to engage with human-like social bot accounts and (2) users are more likely to engage with social bots which promote content congruent to the user's partisanship. In a preregistered 3 × 2 within-subject experiment, we asked N = 223 US Americans to indicate whether they would engage with or react to different Twitter accounts. Accounts systematically varied in their displayed humanness (low humanness, medium humanness, and high humanness) and partisanship (congruent and incongruent). In line with our hypotheses, we found that the more human-like accounts are, the greater is the likelihood that users would engage with or react to them. However, this was only true for accounts that shared the same partisanship as the user. [ABSTRACT FROM AUTHOR]

This study examines the global diffusion of Black Lives Matter (BLM) as digitally networked connective action. Combining social network analysis with qualitative textual analysis, we show that BLM was hybridized in different ways to give voice to local struggles for social justice in Brazil, India, and Japan. However, BLM's hybridization stirred right-wing backlash within these countries that not only targeted local movements but BLM too. Theoretically, we argue that both transnational contiguities and intra-cultural tensions shape the construction of meanings—or "action frames"—as connective action crosses cultural borders. Resonant frames, which are in harmony with the values of the movement, amplify the features of the global movement that resonate with local concerns or hybridize it with a local struggle. Reactionary frames, which are hostile to movement values, may also target the global movement or its hybridization. We theorize the different roles of global and local crowd-enabled elites in transnational connective action. [ABSTRACT FROM AUTHOR]

In April 2020, amid the global COVID-19 pandemic, fringe political activists, conspiracy theorists, and far-right subcultures joined together to protest stay at home orders and social distancing decrees. Largely sharing information and organizing strategies on social media, these protestors adopted the Twitter hashtag #OpenAmericaNow to activate and mobilize supporters across the United States. In this study, we examine the online organizing of #OpenAmericaNow through analysis of 17,965 tweets to understand how fringe and conspiracy subcultures organized through oppositional consciousness raising. Our findings reveal multi-level discourses, which bridge identification on the micro-level with anti-elitist and post-truth logics on the macro-level. Theoretically, our study advances theorizing on postmodern organizing and conceptualizes alt-civic engagement, while also engaging in innovative methodological strategies useful for interrogating paradoxical and multi-level discourses. [ABSTRACT FROM AUTHOR]

There is considerable disagreement among scholars as to whether social media fuels polarization in society. However, a few have considered the possibility that polarization may instead affect social media usage. To address this gap, the study uses Dutch panel data to test directionality in the relationship between social media use and affective polarization. No support was found for the hypothesis that social media use contributed to the level of affective polarization. Instead, the results lend support to the hypothesis that it was the level of affective polarization that affected subsequent use of social media. The results furthermore reveal heterogeneous patterns among individuals, depending on their previous level of social media usage, and across different social media platforms. The study gives reason to call into question the predominating assumption in previous research that social media is a major driver of polarization in society. [ABSTRACT FROM AUTHOR]

The article conceptualizes character assassination (CA) as a tactic of populist communication on social media by using the case study of Italian politician Matteo Salvini. CA consists of personal attacks aimed at damaging the reputation of individuals, used as political means to attack the "enemies of the people." By means of CA, populists operate a shift from issues and arguments toward individual traits and behaviors. CA's importance is linked to the features of social media communication (i.e. disintermediation, speed, virality, fragmentation, emotionality). The article uses content analysis of tweets, and qualitative analysis of relevant examples; it demonstrates the strategic nature of CA in Salvini's communication and identifies five functions (i.e. polarizing, personalizing, symbolic, discriminating, emotional) of CA in right-wing populist communication. CA's logic is unpacked, by showing how the delegitimization of individuals is used to reinforce a populist communication strategy. Potential implications and responses to CA are discussed. [ABSTRACT FROM AUTHOR]

Social network sites (SNS) have recently become an active ground for interactions on contested and dissonant heritage, on the heritage of excluded and subaltern groups, and on the heritage of collective traumatic past events. Situated at the intersection between heritage studies, memory studies, Holocaust studies, social media studies and digital heritage studies, a growing body of scholarly literature has been emerging in the past 10 years, addressing online communication practices on SNS. This study, an integrative review of a comprehensive corpus of 80 scholarly works about difficult heritage on SNS, identifies the profile of authors contributing to this emerging area of research, the increasing frequency of publication after 2017, the prevalence of qualitative research methods, the global geographic dispersion of heritage addressed, and the emergence of common themes and concepts derived mostly from the authors 'home' fields of memory studies, heritage studies and (digital) media studies. [ABSTRACT FROM AUTHOR]

This article discusses the role of giant social media corporations Facebook, Google (YouTube), and Twitter in counter-terrorism and countering violent extremisms (CT/CVEs). Based on a qualitative investigation mobilizing corporate communications as well as a collection of interviews with European stakeholders, it argues that these firms have become actors in this policy area of what is traditionally considered high politics, through their fundamental role in establishing and enforcing the nascent global governance regime on terrorist communications. Since the emergence of the self-proclaimed Islamic State of Iraq and Syria (ISIS), the studied firms have displayed agency and creativity in their appropriation of this new responsibility, effectively going beyond what was legally required of them. After contextualizing and questioning their involvement, motivated by terrorist exploitation of their services, reputational pressure and the threat of legislation, the article provides an analysis of the firms' self-regulated commitment to CT/CVE through policymaking, content moderation, human resources, and private multilateralism. [ABSTRACT FROM AUTHOR]

As emerging powers forge ahead with big data initiatives, questions arise regarding the implications of these programs for governance in the Global South more broadly. One understudied aspect deals with how actors attribute legitimacy to governments' big data activities. We explore actors' agency in one crucial case: the world's largest demographic and biometric data program, India's Aadhaar. Analyzing roughly 250,000 tweets collected in the first 10 years of Aadhaar's operation, we find that both normative acceptance and cost–benefit calculations are crucial for legitimacy attribution. This finding challenges mainstream theoretical approaches, which prioritize normative factors and often fail to examine how normative and material factors interact during legitimacy attribution. In addition, our study demonstrates a new, mixed-methods approach to measuring legitimacy attribution using Twitter data, which overcomes traditional challenges. As such, we underline the viability of Twitter data as a tool for social measurement. [ABSTRACT FROM AUTHOR]

Given its significance for society's character, future and identity, migration has dominated media discourse. At present, the ascendance of digital platforms which broaden opportunities to produce, share and access content online has ignited debates about migration's discursive construction. Often approached as promoting tolerance and inclusivity, social media are also believed to unleash xenophobia and intergroup antagonism. Working with a cross-section of tweets from the 2019 Canadian Federal election, this article asks how was migration framed, which users influenced the flow and substance of discourse and did Twitter diverge from conventional media space? It finds, while chains of citizen-users overwhelmingly employed Twitter to distribute original content, anti-immigration communications and actors were disproportionately featured. Considering these results, this article introduces the concept of digital nativism to clarify how technical affordances, user intentions and wider socio-political conditions intersect to produce emergent patterns of anti-immigration discourse and mobilization that are participatory, interactive and broadly distributed. [ABSTRACT FROM AUTHOR]

In recent years, social media platforms such as Twitter have removed users that espouse alt-right narratives of White nationalism and xenophobia from their platforms. This mass removal has caused alt-right users to migrate in droves to alternative social media sites, such as Gab. This migration reflects the "platform branding" of these social media platforms which dictates users' choices of where to migrate based on the affordances and culture of a given site. Using heterogeneous engineering, this article analyzes the contextual history, language, and technological affordances of Twitter, Reddit, and Gab. The article finds that Twitter's focus on politics and civil conversation is unhospitable to alt-right content. Reddit's somewhat neutral positioning and decentralized moderation system make alt-right content possible but unpopular. Finally, Gab provides a haven to alt-right beliefs, constructing its platform around "free speech" and alt-right extremism. Platforms embody holistic brand images through contextual, linguistic, and technological features. [ABSTRACT FROM AUTHOR]

Social movement organizations (SMOs) increasingly rely on Twitter to create new and viral communication spaces alongside newsworthy protest events and communicate their grievance directly to the public. When the COVID-19 pandemic impeded street protests in spring 2020, SMOs had to adapt their strategies to online-only formats. We analyze the German-language Twitter communication of the climate movement Fridays for Future (FFF) before and during the lockdown to explain how SMOs adapted their strategy under online-only conditions. We collected (re-)tweets containing the hashtag #fridaysforfuture (N = 46,881 tweets, N = 225,562 retweets) and analyzed Twitter activity, use of hashtags, and predominant topics. Results show that although the number of tweets was already steadily declining before, it sharply dropped during the lockdown. Moreover, the use of hashtags changed substantially and tweets focused increasingly on thematic discourses and debates around the legitimacy of FFF, while tweets about protests and calls for mobilization decreased. [ABSTRACT FROM AUTHOR]

This study combines data analysis with multilevel processing of visual communication to classify the visual frames of state-sponsored social media propaganda. We relied on Twitter's Election Integrity data to sample five propaganda targets of the Internet Research Agency, including Russian and American partisan groups, and explored how their operations deviated from canonical state propaganda marked by symbols of national identity and heroic masculinity. The results show that the visual frames employed by the Internet Research Agency are designed to embody the vox populi with relatable, familiar, or attractive faces of ordinary people. The results also indicate that Internet Research Agency influence operations displayed cultural acuity and familiarity with the social identity of their targets, and that the visual narrative the agency crafted trafficked primarily in the tropes of regular guys or attractive young women. We discuss these findings and argue that state-sponsored propaganda has attuned to subcultural and visual affordances of social platforms. [ABSTRACT FROM AUTHOR]

Algorithmic curation of social media platforms is considered to create a clickbait media environment. Although clickbait practices can be risky especially for legacy news outlets, clickbait is widely applied. We conceptualize clickbait content supply as a revision game with an unknown threshold. Combining supervised machine learning with time series analysis of Facebook posts and Twitter messages of 37 German legacy news outlets over 54 months, we observe outlets' behavior following algorithm changes. Results reveal (1) an infrequent use of clickbait with few heavier-using outlets and (2) turning points of clickbait performance as clickbait supply and user interaction form a reversed U -shaped relationship. News outlets (3) collectively adjust toward an industry clickbait standard. While we (4) cannot prove that algorithmic curation increases clickbait, (5) Facebook's regulative intervention to decrease clickbait disperses heterogeneous tendencies in clickbait supply. We contribute to an understanding of editorial decision-making in competitive environments facing platforms' regulative intervention. [ABSTRACT FROM AUTHOR]

The aim of this research is to describe the pattern of interactions of Brazilian legislators on Twitter during 2019 in the construction of political discourses. Based on 20,076 replies during 2019, posted on Twitter by 514 Brazilian legislators, we conducted descriptive analysis of legislators' Twitter profiles, social network analyses from their interactions, and content analysis of the messages. We found that (1) there are large disparities between legislators in the use of Twitter; (2) the pattern of interactions depicted five clusters defined by political affinities; (3) each cluster had different features regarding their composition and impact; (4) the centrality of the legislators within the network was positively associated with public endorsement on Twitter; and (5) the topics of messages within the clusters reinforce discourses aligned to political ideologies. We argue that the pattern of interactions on Twitter allows to identify online coalitions that reinforce particular discourses within the Brazilian parliament. [ABSTRACT FROM AUTHOR]

This study examines the temporal dynamics of emotional appeals in Russian campaign messages used in the 2016 election. Communications on two giant social media platforms, Facebook and Twitter, are analyzed to assess emotion in message content and targeting that may have contributed to influencing people. The current study conducts both computational and qualitative investigations of the Internet Research Agency's (IRA) emotion-based strategies across three different dimensions of message propagation: the platforms themselves, partisan identity as targeted by the source, and social identity in politics, using African American identity as a case. We examine (1) the emotional flows along the campaign timeline, (2) emotion-based strategies of the Russian trolls that masked left- and right-leaning identities, and (3) emotion in messages projecting to or about African American identity and representation. Our findings show sentiment strategies that differ between Facebook and Twitter, with strong evidence of negative emotion targeting Black identity. [ABSTRACT FROM AUTHOR]

Social media are critical tools offering connections between political actors, voters, and journalists. However, existing scholarship rarely assesses how user engagement differs by platform, content, and function of the post. We examine Facebook (n = 938), Instagram (n = 258), and Twitter (n = 1771) posts by the leaders of three major political parties in Canada during the 2019 Federal Election. Across all three platforms, Liberal Leader Trudeau's posts receive the most engagement. On Twitter, attack posts receive slightly more engagement and interaction posts receive less engagement, compared with other platforms. While policy posts produce lower levels of engagement across platforms, Facebook is distinctive in yielding the lowest levels of user engagement on policy posts. In sum, our findings suggest that political leaders should tailor the content of their social media posts to different platforms. [ABSTRACT FROM AUTHOR]

#IAmMetiria began on Twitter in July 2017, after a speech by New Zealand Green Party co-leader, Metiria Turei, challenging political consensus on welfare policy. Turei confessed she lied to authorities in the 1990s, prompting a flood of supportive posts. Soon after, right-wing oppositional tweets were posted (n = 288) contesting the arguments of Turei and her supporters, and left-wing responses to those arguments (n = 214). Drawing on Mouffe's dissensual model, this article undertakes a close, qualitative analysis of those 502 tweets, in order to move towards a method for empirically distinguishing between antagonistic and agonistic tweets, identifying the latter as putting forward arguments which can be identified by the researcher and potentially engaged with by ideologically opposed adversaries. The results show a majority of the tweets were agonistic, with implications for the future study of social media policy debates and for the online practices of scholars. [ABSTRACT FROM AUTHOR]

This article presents a dictionary-based measurement of populist communication that reaches citizens directly through social media in German. The studied populist messages reflect ideational definitions of populism. Thus, populist messages appeal to the people, dismiss the elites as appalling, or highlight the people's right to unfettered rule. Despite German-speaking countries offering a variety of populist parties, existing automated approaches are rarely applicable to German texts. Furthermore, they are not tailored to social media and often focus only on anti-elitism. I vastly improved existing dictionaries by analyzing populist ideology in its entirety, including people-centrism and the demand for people's sovereignty. The article showed how known populist parties in Austria, Germany, and Switzerland spread these messages to a great extent on social media. Furthermore, I was able to highlight intra-party differences. Finally, the article discusses different aspects of validity and shows that the proposed approach offers high convergent validity and split-half reliability. [ABSTRACT FROM AUTHOR]

Despite their ephemeral constantly changing nature, social media constitute an archive of public discourse. In this study, we examine when, how, and why journalists practice proactive ephemerality, deleting their tweets either manually or automatically to consider the viability of social media as a public record. Based on interviews conducted with journalists in New York City, we find many journalists delete their tweets, and that software-aided mass deletion is common, damaging Twitter's standing as an archive. Through deletion, journalists manipulate temporality, exposing the public to a brief tweeting window to reduce risks and regain control in a precarious labor market and a harassment-ridden public sphere in which employers leave them largely unprotected. When deleting tweets mechanically, journalists emulate platform logic by depending—as commercial platforms often do—on automatic procedures rather than on human expertise. This constitutes a surrender of the very qualities that make human judgment so valuable. [ABSTRACT FROM AUTHOR]

Security studies literature neglects social media's potential for lay actors to become influential within security debates. This article develops the concept of 'security influencers', bringing literature from marketing into the security debate to understand how social media enables individuals to 'speak' and contest security and how lay actors exert influence. Methodologically, this article applies a multi-methods approach to 27,367 tweets to identify and analyse the top four most influential actors in 48 hours following the 2017 bombings by keywords 'Manchester' and 'Muslims'. This article builds a typology of security influencers nuancing definitions of the passive 'security broadcaster' and the active 'security engager', both of which emerge from obscurity or influence within non-security domains. Furthermore, a dichotomy emerges within influential messages and contestation; messages discussing Muslims in banal terms as diverse individuals register high levels of agreement, whereas those discussing Islam as a world religion receive more hostility and contestation. [ABSTRACT FROM AUTHOR]

Deletion is part of the Internet's history and predates Twitter. Today, research on the laws underlying and facilitating government social media use and deletion practices has remained limited. The question of how government agencies create their own Twitter archives and subsequently institutionalize cultural memory has also been largely unexplored. Drawing on a US case study, I argue that the lack of a standardized federal policy has led to the creation of myriad digital "memory holes" of varying porosities. I show that, when systematically drafted and deployed, research based on the US Freedom of Information Act (FOIA) can serve as a generative method of unearthing deleted tweets and memory narratives that might otherwise be inaccessible. Finally, I build on the US case study by offering pathways for other new media scholars to examine and trace tweeting and deleting by government employees in other jurisdictions. [ABSTRACT FROM AUTHOR]

This article argues that digital publics unleash and bolster everyday racism, creating an unregulated space where anonymity and ubiquity enable the dissemination of racist message. By creating broader visibility and wider reach of racist texts and facilitating more participation for racists, social media platforms such as Twitter normalize gendered and place-based racialization of refugees. Recently, hostility and hate became the norm in derogating the refugee identity on social media platforms. To investigate the complexity of digital racism, this article presents a unique case study on Twitter, capturing the widespread user reactions in the aftermath of the mass resettlement of Syrians in Turkey. It examines varying racialization of Syrians on the Turkish Twittersphere, using sentiment and qualitative content analyses of hashtags and mentions on Syrians, when they hit Twitter trends for Turkey for a year, first, for mundane events and, second, during the Turkish state's occupation in Northern Syria. [ABSTRACT FROM AUTHOR]

This article explored the use of social media and mobile communication by women in Saudi Arabia who campaigned for the right to drive from 1990. Due to the globally unique ban on women driving in the Kingdom, females always needed a male driver to transport them. The Saudi government announced in September 2017 that women would be allowed to drive from June 2018. Using the theory of connective action, the article explored the role of social media in the movement for the right to drive, and looked at how activists used digital media platforms to get their messages across to the Saudi publics and the international community. Findings showed that both connective action and collective action offer tactics that can complement each other in an online movement. In addition, results offer in-depth insights about the role of identity in online movements. Threats to and limitations of online movements are also discussed. [ABSTRACT FROM AUTHOR]

Much research has been conducted on how social media platforms are used as outlets of taste expression, displaying cultural preferences acquired outside the platforms. This research largely builds on the cultural sociology of Pierre Bourdieu and his analysis of taste as a medium of social distinction. We propose to shift the emphasis from the study of taste expression to an analysis of taste making on social media. This shift is occasioned by broader cultural transformations since the 1990s as well as developments on social media since the late 2000s. We see that rather than merely performing a taste learned elsewhere, users cooperatively develop sensitivities on social media platforms, constituting practices of joint observation, evaluation, and distinction. We call this the triangle of taste in which subjects, objects, and media mutually co-produce each other. [ABSTRACT FROM AUTHOR]

One noteworthy characteristic of Donald Trump's candidacy and subsequent presidency is his willingness to use racial rhetoric. This is especially the case on Twitter, where he communicates directly with millions of followers. This article utilizes a survey experiment to understand how Trump's tweets influence subjects' revealed racial attitudes. Subjects are exposed to one of three tweets made by Trump: a control tweet about the economy, a tweet with an implicitly racist message, or a tweet with an explicitly racist message. Analyses indicate that while exposure to racist messages does not influence respondents' issue prioritization, both implicitly and explicitly racist messages interact with racial resentment to increase the propensity to describe African-Americans in starkly stereotypical and negative language. These findings suggest that the norm of racial equality, long thought to dampen support for elites who invoke explicitly racist rhetoric, has weakened in the Trump era. [ABSTRACT FROM AUTHOR]

Storytelling has long been used as a theoretical framework for understanding how we share information and learn about health – and illness – online. But is it all about storytelling on social media platforms? To explore how and to what extent personal stories shape health content on these platforms, this article presents an analysis of tweets discussing the BRCA gene mutation – a hereditary cancer condition. Theoretically, the study advances a new conceptual framework to explore social media practices within issue-based and long-lived social media threads. Methodologically, it develops a platform-oriented discourse analytic approach. Findings show that non-narrative content is actually more common than storytelling in Twitter conversations about BRCA, with a number of patient advocates acting as gatekeepers of scientific information. Most BRCA storytelling is mediated and shared in third person, with those at the heart of these stories becoming exemplars within the BRCA 'subculture'. [ABSTRACT FROM AUTHOR]

A tweet by Hollywood actress Alyssa Milano using Tarana Burke's phrase "me too" sparked a global movement. Despite the media attention #MeToo has garnered, little is known about how scholars have studied the movement. Through a synthesis review covering sources from 2006 to 2019, we learned that in this time period only 22 studies examined participation on social media such as Twitter and Facebook. We conclude that more research needs to be conducted, particularly to fill a gap in qualitative studies that directly engage individuals, to learn about their experiences with the movement. While #MeToo is a global movement, the omission of any reference to geography or a lack of geographic diversity suggests a narrow focus on scholarship based in the Global North. There is a need for more cross-cultural analysis to gain a better understanding of the movement as it evolves over time and moves into different spaces. [ABSTRACT FROM AUTHOR]

This article sets out findings from a project focused on #stopIslam, a hashtag that gained prominence following the Brussels terror attack of 2016. We initially outline a big data analysis which shows how counter-narratives – criticizing #stopIslam – momentarily subverted negative news reporting of Muslims. The rest of the article details qualitative findings that complicate this initial positive picture. We set out key tactics engaged in by right-wing actors, self-identified Muslim users, would-be allies and celebrities and elucidate how these tactics were instrumental in the direction, dynamics and legacies of the hashtag. We argue that the tactical interventions of tightly bound networks of right-wing actors, as well as the structural constraints of the platform, not only undermined the longevity and coherence of the counter-narratives but subtly modulated the affordances of Twitter in ways that enabled these users to extend their voice outwards, reinforcing long-standing representational inequalities in the process. [ABSTRACT FROM AUTHOR]

Men Going Their Own Way (MGTOW) are a separatist Manosphere group (digital manifestation of the Men's Liberation Movement) who focus on individualistic, self-empowering actions as opposed to traditional collective actions typical of Men's Rights Activists and Incels. This study investigates how the ideology and rhetoric of MGTOW propagates and normalises misogynistic beliefs through online harassment, using a multi-phased content and thematic analysis of 10,280 tweets from three of the most active MGTOW users on Twitter. The findings document a link between the MGTOW ideology and toxic masculinity, showing that the online harassment generated is deeply misogynistic and polices the boundaries of a heterosexual, hegemonic masculinity. The analysis demonstrates that while the misogyny and violence produced by MGTOW is not extreme in nature, their appeals to rational thinking make it seem like common sense. The article develops new knowledge about the heterogeneous nature of the Manosphere and its constructions of masculinity. [ABSTRACT FROM AUTHOR]

From a communication infrastructure theory perspective, this study examined local residents' connections to neighborhood storytellers and its association with community-oriented emotional disclosure, a specific form of neighborhood storytelling, during an emergency event. A sample of 1676 local residents and their Twitter activities were obtained from Twitter's streaming application programming interface (API) during a 2-hour window after the event. A connection was established when the focal user retweeted, commented on, or replied to another user. The results show that scope of connections to residents, community organizations, and mainstream media positively predicted community-oriented disclosure of negative emotions. Scope of connections to residents positively predicted community-oriented disclosure of positive emotions. Scope of connections to local media did not predict community-oriented emotional disclosure. [ABSTRACT FROM AUTHOR]

Drawing on a qualitative analysis of 5996 tweets and 480 mainstream news stories about the Florida State University (FSU) and the Ohio State University (OSU) shootings, we examine who emerges as opinion leaders during crises, the kinds of narratives they help construct about school shootings, and the relative civility of these narratives. We find that the opinion leaders who emerge after a crisis are assumed to have local knowledge about the incident and/or are able to quickly curate information about the incident. In addition, we find that the quality of information spread by opinion leaders is critical to narrative construction and civility. The largely fact-based narratives associated with the FSU incident were far more civil than the OSU narratives, which were based on disinformation and polemics. We conclude the article by calling on scholars to take a more nuanced approach to conceptualizing and studying opinion leaders. [ABSTRACT FROM AUTHOR]

Social media are said to be a core driver of populists' current success. Yet, our knowledge of how populist politicians use social media is limited. We argue that they can use Twitter and Facebook, politically the most important platforms, as a "double-barreled gun," each serving a different target. Based on the architecture of the platforms and the populist ideology, we expect that Twitter is used to name and shame journalists publicly, Facebook to activate anger among citizens. Both types of use are examined by studying the Members of Parliament (MPs) of Austria, The Netherlands, and Sweden. We collected 9852 tweets for the 475 MPs on Twitter and 10,355 Facebook posts from the 287 MPs with a Facebook Page. Using negative binomial regression and content analyses, we find that populists seem eager to activate anger. They are not more likely to @-mention media accounts, but "shame" them roughly three times more often. [ABSTRACT FROM AUTHOR]

With the advent of social media, political communication scholars have systematically revised theories and empirical corollaries revolving media use and democracy at large. Interestingly, in about the same period of time, a reinvigorated political populism trend has taken place across different latitudes in the world. This widespread populist movement has expanded regardless of whether these political systems were established democracies, emerging democracies, or societies immersed in political contexts at peril. This essay serves as the introductory piece to a special issue on populism. First, it highlights the ways in which "populism," being an old phenomenon, has further transpired into the political realm in the era of social media. Second, the essay seeks to better contextualize what populism is and how it has developed within today's hybrid media society. Finally, this introduction also lays out the ground to six central theoretical and data-driven papers that encapsulate many of the important issues revolving the phenomenon of populism today. [ABSTRACT FROM AUTHOR]

The Grenfell fire has yet to be analysed to understand the event's implications in relation to construction of social boundaries for British Muslims. In this current research, two methodological approaches are applied to gain understandings of social boundary construction on twitter: thematic analysis of the content of tweets and social network analysis (SNA) of how messages are diffused and contested. Twitter is shown to be an important platform in spreading positive narratives about Muslims during the fire, enabling individuals to spontaneously contest fake news and hate narratives. Social media acts counter to established knowledge, demonstrating that it is not, per se, a conduit for fake news and hate speech. Furthermore, it demonstrates how twitter offers Muslims an international space to voice and articulate themselves where they can be influential in debates that effect Muslim diasporas in other national contexts. [ABSTRACT FROM AUTHOR]