Twitter Communication Research Articles

Characterizing Twitter communication – a case study of international engineering academic units

Engineering academic units might engage with social media for a range of purposes including for general communication with students, staff, alumni, other important stakeholders and the wider community at large; for student recruitment and for marketing and promotion more generally. This paper presents an investigation into the use of Twitter by six engineering academic units internationally, using publicly available Twitter data over an 18-month period for analysis and visualization, to characterize the engagement by engineering academic units with one popular social media tool. Widely varying levels of activity were observed, from essentially undirected ‘Megaphone’ Tweeting, through to sustained and complex interactions with multiple external accounts. This work provides insights into how engineering academic units are using Twitter and how they might more effectively use the platform to achieve their individual objectives for institutional social media communications and marketing, and offers a methodology for future research.

Elite Tweets: Analyzing the Twitter Communication Patterns of Labour Party Peers in the House of Lords

The microblogging platform Twitter has gained notoriety for its status as both a communication channel between private individuals and as a public forum monitored by journalists, the public, and the state. Its potential application for political communication has not gone unnoticed; politicians have used Twitter to attract voters, interact with constituencies and advance issue-based campaigns. This article reports findings from the research team's work with 21 peers sitting on the Labour frontbench. The researchers monitored and archived the peers' activity on Twitter for a period of 3 months between June and September 2012. Using a sample of 4,363 tweets and a mixed methodology combining semantic analysis, social network analysis, and quantitative analysis, this article explores the peers' patterns of usage and communication on Twitter. Key findings are that as a tweeting community their behavior is consistent with other communities. However, there is evidence that a coherent strategy is lacking in their coordinated use of the platform. Labour peers tend to work in small, clustered networks of self-interest as opposed to collectively to promote party policy.

Investigating Political Polarization on Twitter: A Canadian Perspective

This article investigates political polarization in social media by undertaking social network analysis of a sample of 5,918 tweets posted by 1,492 Twitter users during the 2011 Canadian Federal Election. On the one hand, we observed a clustering effect around shared political views among supporters of the same party in the Twitter communication network, suggesting that there are pockets of political polarization on Twitter. At the same time, there was evidence of cross-ideological connections and exchanges, which may facilitate open, cross-party, and cross-ideological discourse, and ignite wider debate and learning as they are observed by nonaffiliated voters and the media at large. However, what appeared to be far less likely was any increased willingness or tendency for committed partisans to shift their allegiances as a result of their Twitter engagements, and we postulate that Twitter usage at present is likely to further embed partisan loyalties during electoral periods rather than loosen them; a dynamic that would seemingly contribute to political polarization.

Online Environmental Engagement Among Youth: Influence of Parents, Attitudes and Demographics

Although young citizens may not always politically engage in the same fashion as their elders, research suggests they are using Facebook, Twitter, and other newer communication systems to mobilize politically both generally and around environmental issues. Given the declining environmental conditions facing young citizens, a national stratified quota sample of 1,096 U.S. parents and their children between the ages of 12 and 17 was conducted to investigate the factors potentially related to their efforts to persuade members of their online social networks to be more environmental. We believe that online peer persuasion is an important concept to investigate because peer persuasion can create subjective norms that ultimately may influence behavior. Hierarchical regression analysis revealed that, although parents influence youth behavior (Adj. R 2 = .11), the greatest variance in behavior was explained by the youth's own environmental self-efficacy, environmental news consumption, political interest, time spent online, gender, and environmental consumerism (ΔR 2 = .29). Youth political interest and environmental consumerism were especially important variables in the final model. Structural equation modeling reinforced that parental influence is primarily indirect. This study appears to be among the first to link environmental consumerism with youth online peer persuasion.

Emergent Use of Twitter in the 2011 Tohoku Earthquake

Social networks play an important role in disaster situations as they have become a new form of social convergence that provides collective information. The effect of social media on people who experienced disaster should be assessed. Hypothesis In this study, Twitter communication during the Great East Japan Earthquake of March 11, 2011 was assessed. The hypothesis of this study was that usage of Twitter had psychological effects on victims of the disaster. A cross-sectional questionnaire survey was carried out in cooperation with a major Japanese newspaper three months after the disaster, and 1,144 volunteer participants responded. They were asked about their health, area of residence, property damage they had experienced, information sources they used at the time of the disaster, and their usage of Twitter. Further, the Twitter users were divided into two groups-with and without disaster experience. Their psychological effects relating to feelings of relief, stress or anxiety that they experienced in using Twitter were compared between two groups, and Twitter's psychological risk of disaster experience was estimated as an odds ratio. Twitter users in this study tended to reside in disaster-affected areas and thought Twitter was a credible information source during the time of the disaster. The psychological effect of Twitter differed based on participants' disaster experience and gender. Females with disaster experience reported more feelings of relief and stress as a result of using Twitter compared to females who did not experience the disaster. On the other hand, males with disaster experience only reported more stress experiences as a result of using Twitter compared to those without disaster experience. Twitter users with disaster experience had a higher usage of Twitter than those without disaster experience. Social media might have had a material psychological influence on people who experienced disaster, and the effect differed by gender. Regardless of gender, negative feelings were transmitted easily among people who experienced the disaster. It was anticipated that the application of Twitter in a disaster situation will be expanded further by taking these findings into consideration.

Psephological investigations: Tweets, votes, and unknown unknowns in the republican nomination process

AbstractThis paper analyzes the utility of using information contained within Twitter posts in predicting electoral outcomes. Particularly, we are interested in patterns in Twitter communications that can help explain differences between published opinion polls and the actual vote. We consider three categories of models. The first is a mentions model that examines the correspondence between the prevalence of communications about a candidate and electoral outcomes. The second series of models treat Twitter similar to a prediction market, aggregating not candidate preferences but predictions of the electoral result. Last, we consider whether the rediffusion of tweets about a candidate is a reliable predictor of the candidate's performance. The results find inconsistent support for the predictive value of Twitter mentions as an estimate of the overall vote, but these communications provide some evidence of otherwise undetected shifts in momentum with respect to the aggregated predictions of candidate performance and message rediffusion via retweets containing information about a particular candidate. Given the nature of the information extractable, these data are most sensitive to detecting changes in momentum.

Nonprofit and Public Sector Participation in Self‐Organizing Information Networks: Twitter Hashtag and Trending Topic Use During Disasters

Twitter's hashtag categorizations and trending topics offer accessible tools through which people communicate and self‐organize during disasters. This article examines Twitter communication networks, specifically the roles played by nonprofit and government agencies, that were engaged during four disasters: (1) The Boston Marathon bombing, (2) The West, Texas fertilizer plant explosion, (3) The Midwest spring flooding in Peoria, Illinois, and (4) The Moore, Oklahoma tornado. NodeXL and UCINET were used to collect and analyze data and determine network composition and structure. Nonprofit and government Twitter pages provided additional data. Findings indicate varied levels of engagement. While several state‐level public agencies and regional nonprofits used Twitter with some regularity, many failed to participate in hashtag networks that penetrated disparate user groups. The article concludes with a discussion on how organizations might more effectively promote response efforts through this medium.

Mining One Percent of Twitter: Collections, Baselines, Sampling

The objective of the paper is to reflect on the affordances of different techniques for making Twitter collections and to suggest the use of a random sampling technique, made possible by Twitter’s Streaming API (Application Programming Interface), for baselining, scoping, and contextualising practices and issues. It discusses this technique by analysing a one per cent sample of all tweets posted during a 24-hour period and introducing a number of analytical directions considered useful for qualifying some of the core elements of the platform, in particular hashtags. To situate the proposal, the report first discusses how platforms propose particular affordances but leave considerable margins for the emergence of a wide variety of practices. This argument is then related to the question of how medium and sampling technique are intrinsically connected. Background Social media platforms present numerous challenges to empirical research, making it different from researching cases in offline environments, but also different from studying the “open” Web. Because of the limited access possibilities and the sheer size of platforms like Facebook or Twitter, the question of delimitation, i.e. the selection of subsets to analyse, is particularly relevant. Whilst sampling techniques have been thoroughly discussed in the context of social science research, sampling procedures in the context of social media analysis are far from being fully understood. Even for Twitter, a platform having received considerable attention from empirical researchers due to its relative openness to data collection, methodology is largely emergent. In particular the question of how smaller collections relate to the entirety of activities of the platform is quite unclear. Recent work comparing case based studies to gain a broader picture and the development of graph theoretical methods for sampling are certainly steps in the right direction, but it seems that truly large-scale Twitter studies are limited to computer science departments, where epistemic orientation can differ considerably from work done in the humanities and social sciences.

福島第一原子力発電所事故に直面した国会議員のソーシャルメディア上のつながりと情報発信

福島第一原子力発電所事故に直面した国会議員のソーシャルメディア上のつながりと情報発信

Twitter communications

Twitter communications

To Personalize or Depersonalize? When and How Politicians' Personalized Tweets Affect the Public's Reactions

Two experiments investigated when and how politicians' Twitter communication affects the public's cognitive, affective, and behavioral reactions, focusing on the effects of message personalization. In Study 1, personalized (vs. depersonalized) messages significantly enhanced message recognition and recall, but they heightened perceived presence of and imagined intimacy with the candidate only among more affiliative individuals, while lowering the willingness to vote for him among less affiliative ones. In Study 2, although personalized messages improved message encoding and retrieval, they induced stronger perceived intimacy with and more positive evaluations of the in-group candidate only among those with weak party identification. By contrast, those attaching greater value to their party affiliation responded negatively to the personalized messages and showed robust in-group favoritism.

Are They Talking to Me? Cognitive and Affective Effects of Interactivity in Politicians' Twitter Communication

The present study investigated when and how the level of interactivity in politicians' Twitter communication affects the public's cognitive and affective reactions. In a Web-based experiment (n=264), participants viewed a high profile male politician's Twitter page, wherein he was either actively responding to his followers' questions (high interactivity) or mostly posting messages on his own (low interactivity). Exposure to the high-interactivity Twitter page induced a stronger sense of direct conversation with the candidate (social presence), but only among less affiliative individuals who usually avoid social interaction. Heightened social presence, in turn, led to more positive overall evaluations of the candidate and a stronger intention to vote for him. Although those in the high-interactivity condition generated more positive thoughts, they had fewer issue-related thoughts and exhibited poorer recognition of the issues mentioned by the candidate.

Twitter als Wahlkampfmedium

The change of individual political communication is a crucial element in the debate about the mediatization of politics. More and more politicians as well as citizens make use of digital platforms to exchange their views on political issues and to inform themselves. This raises the question to what extent politicians offer options for digital interaction and thus encourage first-hand communication. This paper examines the use of the microblogging service Twitter by politicians during selected federal state election campaigns in Germany in 2011. The analysis focused on elements that facilitate participation and was conducted by using the “functional operator-model”. Data analysis shows that politicians use twitter in either a “personal-interactive” or “topic-informative” style. Regarding deliberative structures of twitter communication, however, there is still much to gain—both on the part of the politicians and of the citizens.

The effect of Twitter on college student engagement and grades

Despite the widespread use of social media by students and its increased use by instructors, very little empirical evidence is available concerning the impact of social media use on student learning and engagement. This paper describes our semester-long experimental study to determine if using Twitter – the microblogging and social networking platform most amenable to ongoing, public dialogue – for educationally relevant purposes can impact college student engagement and grades. A total of 125 students taking a first year seminar course for pre-health professional majors participated in this study (70 in the experimental group and 55 in the control group). With the experimental group, Twitter was used for various types of academic and co-curricular discussions. Engagement was quantified by using a 19-item scale based on the National Survey of Student Engagement. To assess differences in engagement and grades, we used mixed effects analysis of variance (ANOVA) models, with class sections nested within treatment groups. We also conducted content analyses of samples of Twitter exchanges. The ANOVA results showed that the experimental group had a significantly greater increase in engagement than the control group, as well as higher semester grade point averages. Analyses of Twitter communications showed that students and faculty were both highly engaged in the learning process in ways that transcended traditional classroom activities. This study provides experimental evidence that Twitter can be used as an educational tool to help engage students and to mobilize faculty into a more active and participatory role.

Twitter‐based information distribution during the 2009 Red River Valley flood threat

Twitter‐based information distribution during the 2009 Red River Valley flood threat

P.5.076 Analysis of cerebrovascular andneuroprotective effects of afobazole

The social media microblogging service Twitter is gaining popularity in the field of urology as a fast and effective communication platform. We assessed volume, subject matter, influencers and content of urology related discussions on the Twitter platform using the recently proposed Urology Tag Ontology hashtag list.We queried the Symplur Signals database for tweet activity during a 1-year period. We used the Urology Tag Ontology hashtag list, comprised of 45 disease related hashtags in 9 urological subspecialties, to assess activity (numbers of tweets, users and impressions), users (geolocation, influencers) and content (words, tweet enhancements) of urology related Twitter traffic.Twitter activity during the study period included 334,642 tweets by 104,166 users with 1,397,107,305 impressions. Tweet activity varied among urological subspecialties and was largely dominated by urological oncology topics driven by #ProstateCancer. Users came from 224 countries and from all continents around the globe. Health care organizations accounted for the largest proportion of influencers (44%), followed by other individuals (22%) and physicians (13%). The top words were “prevent” (used 20,955 times), “cancer” (19,610), “follow” (19,169), “men” (19,165) and “condom” (18,425). The median (range) number of shares was 2,200 (1,414-8,854) for the top 10 links, 2,123 (1,878-2,737) for the top 10 retweets and 207 (12-438) for the top 10 photos.Twitter activity in the field of urology can be assessed using a standardized list of social media communication descriptors. The value of the Twitter communication platform is underscored by the large number of tweets and impressions in the urology space.