Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

ABSTRACT

Social media data are increasingly used by researchers to gain insights on individuals’ behaviors and opinions. Platforms like Twitter provide access to individuals’ postings, networks of friends and followers, and the content to which they are exposed. This article presents the methods and results of an exploratory study to supplement survey data with respondents’ Twitter postings, networks of Twitter friends and followers, and information to which they were exposed about e-cigarettes. Twitter use is important to consider in e-cigarette research and other topics influenced by online information sharing and exposure. Further, Twitter metadata provide direct measures of user’s friends and followers as opposed to survey self-reports. We find that Twitter metadata provide similar information to survey questions on Twitter network size without inducing recall error or other measurement issues. Using sentiment coding and machine learning methods, we find Twitter can elucidate on topics difficult to measure via surveys such as online expressed opinions and network composition. We present and discuss models predicting whether respondents’ tweet positively about e-cigarettes using survey and Twitter data, finding the combined data to provide broader measures than either source alone.     

I do not believe you: how providing a source corrects health misperceptions across social media platforms

Social media are often criticized as serving as a source of misinformation, but in this study we examine how they may also function to correct misperceptions on an emerging health issue. We use an experimental design to consider social correction that occurs via peers, testing both the type of correction (i.e., whether a source is provided or not) and the platform on which the correction ocratcurs (i.e., Facebook versus Twitter). Our results suggest that a source is necessary to correct misperceptions about the causes of the Zika virus on both Facebook and Twitter, but the mechanism by which such correction occurs differs across platforms. Implications for successful social media campaigns to address health misinformation are addressed.     

Building protest online: engagement with the digitally networked #not1more protest campaign on Twitter

This article examines engagement with digitally networked, politically contentious actions. Maintaining engagement over time is a key challenge for social movements attempting to network digitally. This article argues that proximity serves as a condition to address this challenge, because it configures the personal networks upon which transmission depends. This is a paradox of digital activism: it has the capacity to transcend barriers; however, proximity is essential for sustaining relations over time. Examining Twitter data from the #not1more protest campaign against immigrant deportations in the United States, quantitative and social network analyses show a differentiated development of engagement, which results in a particular geographical configuration with the following attributes. First, there is a robust and connected backbone of core organizers and activists located in particular major cities. Second, local groups engage with the campaign with direct actions in other cities. Third, a large and transitory contingent of geographically dispersed users direct attention to the campaign. We conclude by elaborating how this geographically differentiated configuration helps to sustain engagement with digitally networked action.     

Unions and social media: Prospects for gender inclusion

The emergence of web 2.0 technologies led to optimistic predictions that social media (SM) might alter traditional gendered patterns of member participation in trade unions. Greene, Hogan, and Grieco and others suggested that the forms of communication and engagement these technologies offered to unions and their members had the potential to foster gender inclusion and contribute to union diversity, arguably central to effective representation. This article reports on a survey of union members’ experiences with and perceptions of their union's SM services, to identify whether there is a gendered dimension to members’ use. The findings indicate that for most union members regardless of gender, more traditional communication channels such as face‐to‐face contact and email remain the preferred means of communication. However, the findings also show that women are just as likely as men, if not more so, to engage with union SM. Given that historically, women largely participated less in union activities than their male counterparts, this broad parity of use by women supports the conclusion that SM has substantial potential to improve women's participation in unions.     

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%).     

YOUTUBE,TWITTER AND THE OCCUPY MOVEMENT

Videos stored on YouTube served as a valuable set of communicative resources for publics interested in the Occupy movement. This article explores this loosely bound media ecology, focusing on how and what types of video content are shared and circulated across both YouTube and Twitter. Developing a novel data-collection methodology, a population of videos posted to YouTube with Occupy-related metadata or circulated on Twitter alongside Occupy-related keywords during the month of November 2011 was assembled. In addition to harvesting metadata related to view count and video ratings on YouTube and the number of times a video was tweeted, a probability sample of 1100 videos was hand coded, with an emphasis on classifying video genre and type, borrowed sources of content, and production quality. The novelty of the data set and the techniques adapted for analysing it allow one to take an important step beyond cataloging Occupy-related videos to examine whether and how videos are circulated on Twitter. A variety of practices were uncovered that link YouTube and Twitter together, including sharing cell phone footage as eyewitness accounts of protest (and police) activity, digging up news footage or movie clips posted months and sometimes years before the movement began; and the sharing of music videos and other entertainment content in the interest of promoting solidarity or sociability among publics created through shared hashtags. This study demonstrates both the need for, and challenge of, conducting social media research that accommodates data from multiple platforms.     

“Sassy Queens”: Stylistic orthographic variation in Twitter and the enregisterment of AAVE

Recent computational sociolinguistic analyses of social media have emphasized the potential of using orthographic variation as a proxy for speech, thereby permitting macro‐level quantitative studies of regional and social variation (e.g. Eisenstein, 2015). However, the extent to which stylistic variation may affect these analyses remains largely unexplored. In this paper, I explore how authors use variant spellings stylistically to deploy personae and characterological figures (Agha, 2003), by examining the presence of African American Vernacular English (AAVE) features in a corpus of 15,804 tweets extracted from the timelines of 10 gay British men. I argue that the stylization of AAVE signals the development of a very specific persona—the “Sassy Queen”—which relies on an essentialized imagining of Black women as “fierce” and “sassy.” Concluding, I emphasize the value of micro‐level analyses in complementing quantitative analyses of linguistic variation in social media.     

Motives for sharing illness experiences on Twitter: conversations of parents with children diagnosed with cancer

A patient- and family-centred approach in paediatric health care is important because parents are involved in making key decisions about their child’s health care and advocating for the best interest of the child. Parents and family members are increasingly turning to the internet to find and actively share information about their child’s health care. Twitter is one of many online platforms used by parents of children diagnosed with cancer to share information related to their child’s cancer experience. Existing research suggests that there is a need to better understand the motives for using Twitter for sharing content about a child’s cancer experience. Furthermore, there is a lack of theoretical frameworks for characterizing those motives. In this paper, we identify key themes of tweets posted by parents of children diagnosed with cancer and align those themes with motives inspired by the well-studied Everyday Life Information Seeking framework. We propose a new motive in addition to those associated with the framework and suggest that information can be shared for endogenous reasons as well as to meet the needs of others. This paper contributes an increased understanding of motives for sharing information about a child’s cancer journey and extends a theoretical framework for building further knowledge in this area.     

Networked framing between source posts and their reposts: an analysis of public opinion on China's microblogs

Retweeting a post on a social media platform is a part of a process of growing significance through which public opinion formation takes place. A ‘retweet count’ on, say Twitter or weibo, can be taken as a measure of user influence. The assumption is that when B retweets A's message, B empathizes with A and wishes to disseminate the message more widely. But this assumption has hardly been tested and preliminary evidence suggests practices for retweeting on Twitter vary. Nor can retweeting practices on Twitter be assumed to apply on weibo. This paper makes the first effort to understand the practice of reposting on China's weibo, focusing on the content of reposts in comparison to that of the original messages. A quantitative comparison is made of the frame [Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58; Gamson, W. A., & Modigliani, A. (1989). Media discourse and public opinion on nuclear power: A constructionist approach. American Journal of Sociology, 95, 1–37] of the source post of 21 cases, and their reposts. The posts and reposts all refer to the issue of officials being exposed for corruption on Sina Weibo. The study finds sound evidence of networked framing, in which reposters revised frames of the source posters while disseminating them. Although over half of the reposts merely republished the source post without added content, what emerged were new communicative functions, case definitions, and a diagnosis of the consequences of exposing the cases. However, different types of user accounts drew different reposting frames, which points to a consistent paradigm between the source accounts and the reposters. The results are important for understanding the mechanisms behind the formation of public opinion on weibo.     

Anatomy of Protest in the Digital Era: A Network Analysis of Twitter and Occupy Wall Street

Two months before the first Occupy Wall Street (OWS) protest in September 2011, activists were using Twitter to organize and spread the movement. In this study, the earliest Twitter messages regarding #OccupyWallStreet were subjected to network analysis to answer these questions: What were the central hubs in the OWS discourse on Twitter in the summer of 2011? How did OWS emerge from among several social movement organizations to lead a nationwide series of demonstrations? What were the key points in the Twitter dialogue that aided the process of scale shift? By addressing these questions, this research connects social movement concepts with network centrality measures to provide a clearer picture of movements in the digital era.     

I Am Woman,Hear Me Tweet! Gender Differences in Twitter Use among Congressional Candidates

This study synthesizes two theoretical literatures to explain gender differences in Twitter usage and effectiveness among US Congressional candidates. The first suggests that candidates in perceived disadvantaged positions, females in this case, innovate to improve their chances of success, and the second, that female politicians often adopt stereotypically masculine behaviors to be successful. On the basis of these theories, we hypothesize and confirm that female candidates are more likely than males to integrate Twitter into their campaigns, but our results are less conclusive regarding a difference in the likelihood that females use negative campaigning tactics via Twitter. Our results also indicate that those females who use Twitter more than their male counterparts tended to do better electorally, but this difference is conditional. Female Republican candidates who tweeted more increased their vote share, but the opposite is true for Democrats. We speculate that this differential effect may be a product of different audiences for social media in each party’s electorate.     

After the ‘APIcalypse’: social media platforms and their fight against critical scholarly research

ABSTRACT

In the aftermath of the Cambridge Analytica controversy, social media platform providers such as Facebook and Twitter have severely restricted access to platform data via their Application Programming Interfaces (APIs). This has had a particularly critical effect on the ability of social media researchers to investigate phenomena such as abuse, hate speech, trolling, and disinformation campaigns, and to hold the platforms to account for the role that their affordances and policies might play in facilitating such dysfunction. Alternative data access frameworks, such as Facebook’s partnership with the controversial Social Science One initiative, represent an insufficient replacement for fully functional APIs, and the platform providers’ actions in responding to the Cambridge Analytica scandal raise suspicions that they have instrumentalised it to actively frustrate critical, independent, public interest scrutiny by scholars. Building on a critical review of Facebook’s public statements through its own platforms and the mainstream media, and of the scholarly responses these have drawn, this article outlines the societal implications of the ‘APIcalypse’, and reviews potential options for scholars in responding to it.     

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.     

Analysing Competence: Gender and Identity at Work

Competence approaches are among the techniques that claim to measure the behaviour, skills, knowledge and understanding crucial to effective managerial performance. It is claimed that competence approaches empower and develop managers while enabling them to meet organizational objectives. Since the bases for the techniques are avowedly scientific, they are said to provide organizations with a gender neutral form of assessment. In this paper we construct a theoretical framework in terms of which these claims can be analysed and assessed. Using this framework, we examine the competence approach as it has been implemented in six organizations in relation to the claim to objectivity.     

Participant recruitment and data collection through Facebook: the role of personality factors

As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world’s largest social networking service. If Facebook is to be considered a viable platform for social research, it is necessary to demonstrate that Facebook users are sufficiently heterogeneous and that research conducted through Facebook is likely to produce results that can be generalized to a larger population. The present study examines these questions by comparing demographic and personality data collected over Facebook with data collected through a standalone website, and data collected from college undergraduates at two universities. Results indicate that statistically significant differences exist between Facebook data and the comparison data-sets, but since 80% of analyses exhibited partial η^2?相似文献   

Tweet, tweet, tweet: A content analysis of nonprofit organizations’ Twitter updates

Many of the relationship cultivation strategies and the dialogic principles assume symmetrical communication is taking place. However, significant amounts of information are shared in a one-way manner. Although they have fallen out of favor with many academics, the four models of public relations can provide significant insights into how organizations communicate. Using the models as the guiding framework, this brief study examines how nonprofit organizations from the Philanthropy 200 communicate on Twitter. The findings reveal that the organizations are more likely to use one-way models despite the potential for dialogue and community building on the social networking site.     

Preparing Social Work Students to Practice in Diverse Communities through Difficult Digital Dialogues

This study discusses the qualitative lessons learned from a joint social work difficult dialogue education project undertaken by students from a historically Black college and university (HBCU) and those from a predominantly White institution (PWI). The assignment utilized critical pedagogy as a guiding theory to facilitate difficult dialogues about diversity, privilege, and difference through social media and technology. Qualitative data analyzed from the project points to the usefulness and challenges of using social media and technology in facilitating difficult dialogues as well as the need to train students more purposely in the effective use of social media and technology during their education in order to prepare them for practice.     

Making Media for Themselves: Strategic Dilemmas of Prefigurative Work in Independent Media Outlets

This article explores independent youth media outlets, one sector of the broader media democracy movement, to theorize the strategic dilemmas that actors negotiate as they attempt to prefigure the media change that they want to see in the world. The outlets operate as noncommercial spaces for youth to challenge the norms of mainstream media through the collective production of oppositional media. In this millennium, we see the increased presence of these outlets across the country and globally as youth are building nodes of communication through differing digital platforms. The article draws out a case study of one independent media outlet, Youth Media Action, in an urban area in the northeastern part of the United States to trace the dynamics of how these outlets attempt to prefigure or model media change through their structures, practices, and content with a changing cast of participating youth groups. I then analyze the tensions that actors confront as they seek to model an ideal (a more just media system) within a constrained environment (overextended staff and resources). The focus on these prefigurative practices and politics affords a closer view of the ways that these sites seek to build a more inclusive, egalitarian, noncommercial media system with limited resources and educational and political practices that do not always resonate with the participating groups and youth. This research contributes to social movement work that focuses on dilemmas that groups face as they look to themselves to build and model systems of social change.     

Generalizing from social media data: a formal theory approach

ABSTRACT

Researchers increasingly draw on social media data to answer big questions about social patterns and dynamics. However, as with any data source, social media data present both opportunities and significant challenges. One major critique of social media data is that the data are not generalizable outside of the platforms from which the data originate. Problems of generalizability stem from non-universal participation rates on various platforms, demographically biased samples, as well as limited access to data based on infrastructural constraints and/or user privacy practices. We suggest that instead of empirical generalizability, social media data are theoretically generalizable in the formal theory tradition. Through a case example in which we use YouTube comments to test and extend a key tenet of identity theory, we show how social media data can instantiate theoretical variables and thus generalize to theoretical propositions. Mediated through formal theory, social media data maintain the capacity to address broad social questions while upholding methodological integrity.