Reasons for low levels of interactivity: (Non-) interactive CSR communication in twitter

The interactivity levels of online CSR communication are typically low. This study explores the reasons for the low levels of interactivity in the popular social media tool Twitter. An analysis of 41,864 Twitter messages (tweets) from the thirty most central corporate accounts in a CSR Twitter network is conducted. Comparisons (t-test) between CSR tweets and general tweets and between specialized CSR Twitter accounts and general accounts reveal that the low levels of interactivity are due to a reactive interaction approach and a lack of specialization.     

Stakeholder Communication in 140 Characters or Less: A Study of Community Sport Foundations

Community sport foundations (CSFs), like other non-profit organizations, are increasingly employing social media such as Twitter to communicate their mission and activities to their diverse stakeholder groups. However, the way these CSFs utilize social media for communicating such practices remains unclear. Through a mixed-method approach of content analysis of tweets from 22 CSFs established by English professional football clubs and interviews with key individuals within these CSFs (n = 7), this study examines the extent to which CSFs’ core activities are being communicated through Twitter and identifies the strategies employed for doing so. Reflecting the target audiences CSFs are seeking to reach through Twitter and the challenges associated with communication about projects involving marginalized groups, tweets largely concern programs related to sports participation and education. The most frequently employed communication strategy is to inform, rather than interact or engage with stakeholders. However, CSFs with higher organizational capacity attempt to go beyond mere informing towards engaging with stakeholder groups that relate to their social agenda, highlighting the importance of trained and dedicated social media personnel in optimizing CSFs’ use of Twitter for communication.     

How are major gambling brands using Twitter?

ABSTRACT

This paper is the first to compare how major gambling brands are using the popular social media platform Twitter, looking at how gambling brands vary in the frequency of their messages, the content of their tweets and engagement with their Twitter activity. 63,913 tweets were collected from seven well-known British gambling brands (Bet365, Betfair, Betfred, Coral, Ladbrokes, Paddy Power, William Hill) and their associated Twitter accounts (Total Number of Accounts = 22) via the Twitter Application Program Interface (API) on the 1 August 2018. Companies varied in their approach to Twitter, some posting from a single account whereas others segmented their tweets by topic or purpose. Frequency analysis of tweets showed that on average major gambling brands tweeted anywhere between 89 and 202 tweets a day. Sentiment analysis of tweets showed a positivity bias with the language in tweets being associated with positive emotions like anticipation, trust and joy. Paddy Power, Bet365 and Coral produced the content that received the highest number of likes or shares from other twitter users. This study highlights the extent to which companies are using Twitter; followers could potentially be receiving hundreds of messages per day.     

Donor engagement through Twitter

This research examines how non-profit organizations can build and strengthen relationships with donors using the social media tool Twitter. Strong relationships are what lead to donor engagement in a non-profit cause, and the participatory culture that grows online as a result of using Twitter can help to initiate and build relationships with online donors. In this research, tweets were collected from two non-profit organizations, Care2 and United Way Toronto, and one for-profit corporation, Ford Motor Company. The textual construction of the tweets was analyzed using discourse analysis and a rhetorical framework as methodologies. Two main communication theories – the Social-Judgement Theory and the Social Networking Theory – emerged from the analyzed data and were driving forces behind the results. When applied to the data, it was evident that both these theories supported and illustrated ways to build and strengthen relationships using the social media tool, Twitter.     

‘Social media logic’ meets professional norms: Twitter hashtags usage by journalists and politicians

Social media is characterized by a set of principles defined as ‘social media logic’ [van Dijck, J., & Poell, T. (2013). Understanding social media logic. Media and Communication, 1, 2–14. doi:10.12924/mac2013.01010002], derived from the theory of ‘media logic’ developed in the era of mass media [Altheide, D. L., & Snow, R. P. (1979). Media logic. London: Sage.]. This article explores how ‘social media logic’ impacts on two interconnected but yet distinct professions, journalism and politics, by analysing one of the key principles of social media logics, namely ‘connectivity’, an advanced strategy of algorithmically connecting users to content and other users in social media [van Dijck, J., & Poell, T. (2013). Understanding social media logic. Media and Communication, 1, 2–14. doi:10.12924/mac2013.01010002]. The operationalization of connectedness in this study is the Twitter hashtag, as it is the most common feature for users to connect and relate to within a larger networked discourse [Bruns, A., & Burgess, J. (2015). Twitter hashtags from ad hoc to calculated publics. In N. Rambukkana (Ed.), Hashtag publics: The power and politics of discursive networks (pp. 13–27). New York, NY: Peter Lang.]. The empirical material consists of tweets posted by 10 Norwegian politicians and 10 journalists, selected on their level of activity on Twitter. The tweets are analysed with the emphasis on the frequency and content of the hashtags, and the methodological design is comparative between the journalists and the politicians. A key finding is that there are significant differences between how journalists and politicians use hashtags, but that they both use mass media hashtags to reach outside their follower networks. Consequently, this demonstrates that journalists’ and politicians’ use of social media is closely connected to their professional norms, and that the ‘social media logic’ is still related to the ‘media logic’ of mainstream and broadcast media.     

Public Sociology on Twitter: a Space for Public Pedagogy?

Research has examined various elements of Twitter; however, no scholarship has explored how sociologists currently use the platform. This empirically driven paper explores how individuals that self-identify as sociologists on Twitter use the popular micro-blogging social media site. A total of 152,977 tweets from Twitter profiles of 130 sociologists were collected and examined using qualitative media analysis. The potential use of Twitter allows the sociologist to become both the generator and interlocutor of dialogue with publics. We frame our data analysis and discussion around the core theme of expertise - namely, the role that expertise plays in the use of Twitter by sociologists. Our findings indicate that when sociologists used Twitter as sociologists (i.e., drawing upon their stated research expertise) little direct engagement with publics occurred. Thus, while sociologists appear to be using Twitter as a space for public sociology, the use of this interactive platform is mostly limited to the generation of content, a finding consistent with Burawoy’s traditional form of public sociology. Suggestions for future research are noted.     

Dialogic communication in 140 characters or less: How Fortune 500 companies engage stakeholders using Twitter

The current study extends the investigation of online relationship building by examining how Fortune 500 companies use the popular social network site Twitter to facilitate dialogic communication with stakeholders. A content analysis of a random sample of the Twitter profiles maintained by Fortune 500 companies (n = 93) and individual tweets posted on those profiles (n = 930) examined the use of dialogic features within the Twitter profiles as well as the individual tweets. Results indicated that organizations that have a dialogic orientation to Twitter use (61%) employed the principle of conservation of visitors to a greater degree and generation of return visits to a lesser degree than organizations with a non-dialogic orientation to Twitter (39%).     

Inter-ideological mingling: White extremist ideology entering the mainstream on Twitter

ABSTRACT

This case study explores the convergence of white extremist political ideology with mainstream political ideology on the micro-blogging platform Twitter – a phenomenon termed “inter-ideological mingling”. Exploring the spread of white extremism in the digital environment can provide insight into the growth of hate groups in the physical environment. A sample of 4800 tweets was examined through hierarchical cluster analysis and textual analysis. Several pieces of evidence were found supporting inter-ideological mingling. Cluster analysis shows that extremist terms are not isolated from terms found in mainstream political discourse. Textual analysis of individual tweets provides evidence for five strategies of inter-ideological mingling: joining, blending, piggybacking, backstaging, and narrating.     

NATIONAL POLITICS ON TWITTER

The increasing use of Twitter by politicians, journalists, political strategists and citizens has made it an important part of the networked sphere in which political issues are publicly negotiated. The growing number of studies investigating the relationship between Twitter and politics supports this claim. To the knowledge of the authors, this is the first study that examines the interrelation of individuals on the basis of their professions, their topics and their connection to mass media. Taking the example of Austria, they developed a user-centred method that overcomes the limitations inherent to other approaches in this field. The different types of data they gathered – Twitter user data, 1,375 newspaper articles and manually coded 145,356 tweets – allowed them to perform several analyses which provided insights into the structure and topics of a national public Twittersphere. Their results show that the network formed by Austria's most relevant political Twitter users is dominated by an elite of political professionals but open to outside participation. The topic analysis reveals the emergence of niche authorities and the periodic divergence of the political discourse on Twitter with that of mass media. The article concludes with a summary of how these phenomena relate to political participation.     

How publics react to situational and renewing organizational responses across crises: Examining SCCT and DOR in social-mediated crises

The prevalence of social media among networked publics calls for more research regarding how organizations can conduct effective crisis communication on social networking sites. Based on the situational crisis communication theory (SCCT) and the discourse of renewal (DOR) theory, this study examined how social media publics’ sentiments were affected by situational and renewing organizational responses in various clusters of crises. Twitter data of six crises representing three crisis clusters varying in the responsibility attribution (i.e., ambiguous, accidental, and preventable) were collected. We conducted a content analysis on organizations’ official tweets during crises (N = 59) and sentiment analysis on publics’ replies on Twitter (N = 4,340). The results showed that publics’ positive sentiments toward organizations were affected by organizational crisis responses that included instructing information, sympathy, systemic organizational learning, and effective organizational rhetoric. We recommend that crisis managers express sympathy toward publics as well as organizational learning that prevents a crisis from happening again.     

Engaging stakeholders through Twitter: How nonprofit organizations are getting more out of 140 characters or less

While it may seem difficult to communicate in a meaningful manner with 140 characters or less, Twitter users have found creative ways to get the most out of each Tweet by using different communication tools. This paper looks into how 73 nonprofit organizations use Twitter to engage stakeholders not only through their tweets, but also through other various communication methods. Specifically it looks into the organizations utilization of tweet frequency, following behavior, hyperlinks, hashtags, public messages, retweets, and multimedia files. After analyzing 4655 tweets, the study found that the nation's largest nonprofits are not using Twitter to maximize stakeholder involvement. Instead, they continue to use social media as a one-way communication channel as less than 20% of their total tweets demonstrate conversations and roughly 16% demonstrate indirect connections to specific users.     

How journalists engage in branding on Twitter: individual,organizational, and institutional levels

In a social media age, branding is an increasingly visible aspect of identity construction online. For media professionals generally and journalists especially, branding on spaces such as Twitter reveals the complicated set of forces confronting such public-facing actors as they navigate tensions between personal disclosure for authenticity and professional decorum for credibility, and between establishing one’s own distinctiveness and promoting one’s employer or other stakeholders. While studies have begun to reveal what journalists say about branding, they have yet to provide a broad profile of what they do. This study takes up that challenge through a content analysis of the Twitter profiles and tweets of a representative sample of 384 U.S. journalists. We focus on the extent of branding practices; the levels at which such branding occurs, whether to promote one’s self (individual), one’s news organization (organizational), or the journalism profession at large (institutional); and how other social media practices may be related to forms of journalistic branding. Results suggest that branding is now widely common among journalists on Twitter; that branding occurs at all three levels but primarily at the individual and organizational levels, with organizational branding taking priority; and that time on Twitter is connected with more personal information being shared.     

BETWEEN BROADCASTING POLITICAL MESSAGES AND INTERACTING WITH VOTERS

Politicians across Western democracies are increasingly adopting and experimenting with Twitter, particularly during election time. The purpose of this article is to investigate how candidates are using it during an election campaign. The aim is to create a typology of the various ways in which candidates behaved on Twitter. Our research, which included a content analysis of tweets (n?=?26,282) from all twittering Conservative, Labour and Liberal Democrat candidates (n?=?416) during the 2010 UK General Election campaign, focused on four aspects of tweets: type, interaction, function and topic. By examining candidates' twittering behaviour, the authors show that British politicians mainly used Twitter as a unidirectional form of communication. However, there were a group of candidates who used it to interact with voters by, for example, mobilizing, helping and consulting them, thus tapping into the potential Twitter offers for facilitating a closer relationship with citizens.     

The more attacks,the more retweets: Trump’s and Clinton’s agenda setting on Twitter

The present study aims to contribute to the agenda setting theory and political campaign literature by examining candidates’ tweets and their effects on voter reactions in the context of the 2016 U.S. presidential election. Content analysis of Donald Trump’s and Hillary Clinton’s 3-month tweets (N = 1575) revealed that half of their tweets were attacks, and those attacks were effective in attracting favorites and retweets for both candidates. Their tweets reflected their issue agendas highlighted on campaign websites, and they mainly emphasized issues owned by their parties in both venues. Some of the issues Trump stressed in his tweets (i.e., media bias and Clinton’s alleged dishonesty) drew significantly more favorites and retweets, suggesting public agenda setting possibilities through Twitter. None of the issues Clinton emphasized were significant predictors of favorites and retweets. However, visual elements such as pictures and videos were effective in bringing voter reactions for Clinton. While Clinton sent twice as many tweets as Trump did during the three months, Trump’s tweet received in average three times as many favorites and retweets as Clinton’s. Overall, the results show that Trump was more successful than Clinton in drawing public attention to preferred issues through Twitter.     

Analyzing public sentiments online: combining human- and computer-based content analysis

Recent technological developments have created novel opportunities for analyzing and identifying patterns in large volumes of digital content. However, many content analysis tools require researchers to choose between the validity of human-based coding and the ability to analyze large volumes of content through computer-based techniques. This study argues for the use of supervised content analysis tools that capitalize on the strengths of human- and computer-based coding for assessing opinion expression. We begin by outlining the key methodological issues surrounding content analysis as performed by human coders and existing computational algorithms. After reviewing the most popular analytic approaches, we introduce an alternative, hybrid method that is aimed at improving reliability, validity, and efficiency when analyzing social media content. To demonstrate the usefulness of this method, we track nuclear energy- and nanotechnology-related opinion expression on Twitter surrounding the Fukushima Daiichi accident to examine the extent to which the volume and tone of tweets shift in directions consistent with the expected external influence of the event. Our analysis revealed substantial shifts in both the volume and tone of nuclear power-related tweets that were consistent with our expectations following the disaster event. Conversely, there was decidedly more stability in the volume and tone of tweets for our comparison issue. These analyses provide an empirical demonstration of how the presented hybrid method can analyze defined communication sentiment and topics from large-scale social media data sets. The implications for communication scholars are discussed.     

Colleges’ and universities’ use of Twitter: A content analysis

This study explored how colleges and universities are employing Twitter, a popular micro-blogging tool. Using Kent and Taylor's principles of dialogic communication, a content analysis was performed on individual tweets (n = 1130) from 113 colleges and universities. Tweets were coded for whether or not they met each principle of dialogical communication and why. It was found that institutions are not employing Twitter in a dialogic way and they are, instead, employing it primarily as an institutional news feed to a general audience. The implications of this finding are discussed.     

The relationship between social media use and sleep quality among undergraduate students

Insufficient sleep is a growing health problem among university students, especially for freshmen during their first quarter/semester of college. Little research has studied how social media technologies impact sleep quality among college students. This study aims to determine the relationship between social media use and sleep quality among freshman undergraduates during their first quarter in college. Specifically, we explored whether variations in Twitter use across the time of day and day of the week would be associated with self-reported sleep quality. We conducted a study of freshman Twitter-using students (N?=?197) over their first quarter of college, between October and December of 2015. We collected students’ tweets, labeled the content of the tweets according to different emotional states, and gave theme weekly surveys on sleep quality. Tweeting more frequently on weekday late nights was associated with lower sleep quality (β?=??0.937, SE?=?0.352); tweeting more frequently on weekday evenings was associated with better quality sleep (β?=?0.189, SE?=?0.097). Tweets during the weekday that were labeled related to the emotion of fear were associated with lower sleep quality (β?=??0.302, SE?=?0.131). Results suggest that social media use is associated with sleep quality among students. Results provided can be used to inform future interventions to improve sleep quality among college students.     

TWITTER AS A TECHNOLOGY FOR AUDIENCING AND FANDOM

Amongst the most prominent uses of Twitter is its role in the discussion of widely televised events: Twitter's own statistics for 2011, for example, list major entertainment spectacles (the MTV Music Awards and the BET Awards) and sports matches (the UEFA Champions League final and the FIFA Women's World Cup final) amongst the events generating the most tweets per second during the year. During such major media events, Twitter is used most predominantly as a technology of fandom: it serves as a backchannel to television and other streaming audiovisual media, enabling users offer their own running commentary on the universally shared media text of the event as it unfolds live. This article examines the use of Twitter as a technology for the expression of shared fandom in the context of a major, internationally televised annual media event: the Eurovision Song Contest. Our analysis draws on comprehensive data sets for the ‘official’ event hashtags, #eurovision, #esc, and #sbseurovision. Using innovative methods that combine qualitative and quantitative approaches to the analysis of Twitter data sets containing several hundreds of thousands, overall patterns of participation to discover how audiences express their fandom throughout the event are examined. Such analysis is able to provide a unique insight into the use of Twitter as a technology for fandom and for what in cultural studies research is called ‘audiencing’: the public performance of belonging to the distributed audience for a shared media event. The work points to Twitter as an important new medium facilitating the connection and communion of fans.     

Threatening Places or Diverse Spaces: Divergent Constructions of Florida Puerto Ricans across Twitter and Newspaper Articles

This study examines constructions of Puerto Ricans across two different media forms: newspaper articles and Twitter. We use Poinciana, Florida, a Central Florida Puerto Rican enclave, as a means to examine these constructions. Because of the high concentration of Puerto Rican residents and unprecedented migration to the area, Poinciana is an ideal community to examine media constructions of a migrant group. Utilizing constructivist grounded theory, we analyze all published newspaper articles (1995–2016) and public Twitter posts (2009–2016) about Puerto Ricans in the region (N = 174). We find newspaper articles construct mostly benign views of Puerto Ricans, reflecting “Happy Talk” diversity discourse, while Twitter constructions present more negative portrayals, generally relating to population size, and often reflecting a racist ideology reminiscent of the Latino Threat Narrative. We conclude by detailing the significance of divergent constructions across media forms during a period of heightened migration, and how the type of media consumed by Puerto Ricans in this community known as “Little Puerto Rico” is likely to influence their perceived level of societal acceptance.