Unless you go online you are on your own: blogging as a bridge in para-sport

Since its inception, the Web has been described as a liberating technology permitting individuals with disabilities to surmount barriers that otherwise prevent full societal engagement. Subsequent studies of Web-based communication have instead reported that disabling conditions are reproduced rather than challenged online. This paper uses interviews with 25 para-sport participants to provide an empirical account of how the affordances of the Web are leveraged in disability sport networks. Our findings suggest that individuals with disabilities are using blogs, Facebook, Twitter, and other forms of online communication to find information, engage in advocacy and outreach projects, and form strong networks that extend online and offline. We discuss our findings in light of Putnam’s conceptualization of bridging and bonding social capital, and describe how individuals and groups use weak ties to disseminate information and strong ties to foster a sense of belonging.     

Dynamic social media affiliations among UK politicians

Inter-personal affiliations and coalitions are an important part of politicians’ behaviour, but are often difficult to observe. Since an increasing amount of political communication now occurs online, data from online interactions may offer a new toolkit to study ties between politicians; however, the methods by which robust insights can be derived from online data require further development, especially around the dynamics of political social networks. We develop a novel method for tracking the evolution of community structures, referred to as ‘multiplex community affiliation clustering’ (MCAC), and use it to study the online social networks of Members of Parliament (MPs) and Members of the European Parliament (MEPs) in the United Kingdom. Social interaction networks are derived from social media (Twitter) communication over an eventful 17-month period spanning the UK General Election in 2015 and the UK Referendum on membership of the European Union in 2016. We find that the social network structure linking MPs and MEPs evolves over time, with distinct communities forming and re-forming, driven by party affiliations and political events. Without including any information about time in our model, we nevertheless find that the evolving social network structure shows multiple persistent and recurring states of affiliation between politicians, which align with content states derived from topic analysis of tweet text. These findings show that the dominant state of partisan segregation can be challenged by major political events, ideology, and intra-party tension that transcend party affiliations.     

Diversity in social support by role relations: A typology

Social support is fundamental for social integration and emotional well-being. One aspect of social support that is often the focus of attention is the size of a person's support network. However, additional complex measures of social support are necessary to capture qualitative aspects of support networks, such as the diversity in types of support available from specific types of alters. This paper presents a simple way to acquire this comprehensive information and a condensed way to represent the complexity of a person's support network so this information can easily be included in classic survey analyses. Log-linear latent class analysis is used to construct a typology of ego-centric support networks showing the types of support respondents can expect from alters with a specific role. Depending on the role relation for the five support items, this diversity can adequately be represented by distinguishing 2–4 types of respondents. For the role relation friends, we can differentiate between respondents who expect only companionship from their friends, those expecting emotional support as well as companionship, and respondents expecting no social support at all from their friends. For immediate kin, we find those with only emotional support, those with emotional and instrumental support, those with all types of support, and finally a group of respondents expecting no support at all from immediate kin. The approach presented in this article enables a more detailed measurement of the dimensions of social support contents by managing to compile the diversity by distinguishing types of respondents. Such typologies can easily be used as explanatory variables in subsequent analyses.     

Social media and political discussion: when online presence silences offline conversation

ABSTRACT

This paper explores the relationship between the use of social media, attitudinal strength, perceived opinion agreement with social ties, and willingness to discuss a political issue in different online and offline contexts. Unlike the anonymous environment of some Internet forums, social media are closely tied to the relationships and activities of everyday life. Social media increasingly make ties from offline contexts persistent online, and, because of the ambient nature of these technologies, awareness of the opinions, interests, and activities of social ties has become pervasive. As such, the use of social media is likely to affect everyday conversation about political issues in on- and offline contexts, including the home, workplace, social gatherings with friends, community meetings, and on social network sites (SNSs). Based on a national probability survey, we find that the use of SNSs (i.e., Facebook and Twitter) has a direct, negative relationship to deliberation in many offline settings. Some uses of these platforms are associated with having a lower, perceived opinion agreement with social ties. As part of a spiral of silence, this further reduces the willingness of social media users to join political conversations in some offline settings. Only those with the strongest attitudes on an issue are immune.     

College Health Professionals and Academic Librarians: Collaboration for Student Health

College health professionals must find new ways of educating students on finding and evaluating consumer health information, specifically in the online environment. Librarians are trained as information professionals; however, librarians at general academic libraries are not taking a lead role in providing consumer health information. Objective: The authors' purpose in this research was to determine the health information resource needs of college and university students and provide a model for collaboration between college health professionals and academic librarians. Participants and Methods: The authors compared data from a national survey on college health (N = 54,111) with their own results from a survey of general academic librarians (N = 17) to create recommendations for synching students' reported health information needs with librarians' resources. Results: Although the Internet was students' second most-often consulted health information source, they ranked the believability of online health information above only television. In the librarian survey, although 12 respondents indicated that health information provision is a library's responsibility, the majority (n = 11) believed their library's consumer health outreach to be passive. Conclusions: The authors offer recommendations for partnerships between college healthcare professionals and academic librarians to better provide this information to students.     

Gender identity and lexical variation in social media

We present a study of the relationship between gender, linguistic style, and social networks, using a novel corpus of 14,000 Twitter users. Prior quantitative work on gender often treats this social variable as a female/male binary; we argue for a more nuanced approach. By clustering Twitter users, we find a natural decomposition of the dataset into various styles and topical interests. Many clusters have strong gender orientations, but their use of linguistic resources sometimes directly conflicts with the population‐level language statistics. We view these clusters as a more accurate reflection of the multifaceted nature of gendered language styles. Previous corpus‐based work has also had little to say about individuals whose linguistic styles defy population‐level gender patterns. To identify such individuals, we train a statistical classifier, and measure the classifier confidence for each individual in the dataset. Examining individuals whose language does not match the classifier's model for their gender, we find that they have social networks that include significantly fewer same‐gender social connections and that, in general, social network homophily is correlated with the use of same‐gender language markers. Pairing computational methods and social theory thus offers a new perspective on how gender emerges as individuals position themselves relative to audiences, topics, and mainstream gender norms.     

Financial and emotional support in close personal ties among Central Asian migrant women in Russia

This study advances research on the role of personal networks as sources of financial and emotional support in immigrants’ close personal ties beyond the immediate family. Because resource scarcity experienced by members of immigrant communities is likely to disrupt normatively expected reciprocal support, we explored multi-level predictors of exchange processes with personal network members that involve (1) only receiving support, (2) only providing support, and (3) reciprocal support exchanges. We focus on an understudied case of Central Asian migrant women in the Russian Federation using a sample of 607 women from three ethnic groups—Kyrgyz, Tajik, Uzbek—who were surveyed in two large Russian cities-Nizhny Novgorod and Kazan. The survey collected information on respondents’ demographic, socioeconomic, and migration-related characteristics, as well as characteristics of up to five individuals with whom they had a close relationship. Multi-level multinomial regression analyses were used to account for the nested nature of the data. Our results revealed that closer social relationships (siblings and friends) and greater levels of resources (income and regularized legal status) at both ego and alter levels were positively related to providing, receiving, and reciprocally exchanging financial and emotional support. Egos were more likely to provide financial assistance to transnational alters, whereas they were more likely to engage in mutual exchanges of emotional support with their network members from other countries. Personal network size and density showed no relationship with support exchanges. These findings provide a nuanced picture of close personal ties as conduits for financial and emotional support in migrant communities in a major, yet understudied, migrant-receiving context.     

Search online: Evidence from acquisition of information on online job boards and resume banks

While online job boards and resume banks have improved access to information about available jobs and job searchers, little is known about how much of this information gets actually disseminated among participants in the labor market. On the basis of novel data, we find that employers and job searchers prefer to visit resume banks and job boards with more postings. However, once on the site, the number of postings that a typical visitor reviews is not affected by the number of available postings and represents a small fraction of all postings on the site. These findings suggest that employers and job searchers acquire limited amount of information about available job searchers and jobs online even though additional information is easily accessible and available free of charge.     

Assessing the bias in samples of large online networks

We consider the sampling bias introduced in the study of online networks when collecting data through publicly available APIs (application programming interfaces). We assess differences between three samples of Twitter activity; the empirical context is given by political protests taking place in May 2012. We track online communication around these protests for the period of one month, and reconstruct the network of mentions and re-tweets according to the search and the streaming APIs, and to different filtering parameters. We find that smaller samples do not offer an accurate picture of peripheral activity; we also find that the bias is greater for the network of mentions, partly because of the higher influence of snowballing in identifying relevant nodes. We discuss the implications of this bias for the study of diffusion dynamics and political communication through social media, and advocate the need for more uniform sampling procedures to study online communication.     

HOW HEALTH STATUS IMPACTS THE TYPES OF INFORMATION CONSUMERS SEEK ONLINE

A few studies examine what types of health information people seek online, yet we know little about how this varies by health status. To examine this question we used data collected from a random sample of 2,038 adults for the Pew Internet and American Life Project, which asked respondents in the United States whether they searched for 16 different types of information. These 16 topics were grouped into three broad areas, including medical conditions and treatments, health issues (e.g. diet and smoking cessation), and providers and payment (e.g. a particular hospital). To build on prior literature, two measures of health status were used: a self-report and the presence of a medical condition. The data suggest that health status impacts the types of health or medical information people seek on the Internet. Self-reported health status was not significantly related to any of the topics; however, respondents diagnosed with a disability or chronic disease were more likely to seek medical information on 13 of the 16 topics addressed. These include specific diseases or medical conditions, medical treatments or procedures, experimental treatments or medicines, alternative treatments or medicines, pharmaceutical or over-the-counter drugs, diet, immunizations, smoking cessation, depression, sexual health, environmental health hazards, a particular physician or hospital, and Medicaid/Medicare (governmental health programs in the United States for the poor and elderly). These results suggest that individuals in the United States who have a medical condition are more likely than healthy individuals to research most health topics online. The Internet can provide consumers with a wealth of information on issues of health and illness, yet healthcare providers need to educate consumers to be cautious given the range in quality.     

Information technology (IT) accessibility: implications for employment of people with disabilities

Online technology has made significant inroads into human resource (HR) processes such as recruitment, benefits, and training, yet many web sites are inaccessible to people with disabilities. Cornell University surveyed 433 HR representatives regarding their organizations' use of information and Web technology in HR processes. Survey results report that nine of the ten organizations use Web processes for job postings, eight of ten for online benefits information dissemination, and about six out of ten for online benefits self service and online employee training. Employee use of computers was extensive, with the majority using computers more than half the workday. Knowledge of assistive technologies for computer users with disabilities and of Web accessibility considerations was low, but nearly half the respondents reported having made some type of adaptation to make a computer accessible to an employee with a disability. Very few organizations had trained any of their staff in Web accessibility topics or in making computers accessible, and the majority desired more information on those topics. These findings have implications not only for people with disabilities, but for the general workforce, which is aging.     

Reconfiguring Friendships: Social relationships and the Internet

Debate on the social role of the Internet has centred on whether its use will tend to isolate or connect individuals, undermining or reinforcing social ties. This study moves away from this focus on more or less connectivity to explore the degree to which people use the Internet to make new friends and, thereby, reconfigure their social networks. The analysis identifies those who create new ties through the Internet and investigates under what conditions these online ties migrate to face to face settings. The analysis is based on data from the 2005 Oxford Internet Survey (OxIS), a national probability sample survey of individuals aged 14 and over in Britain. The findings indicate that about 20 per cent of Internet users have met new friends online, and about half of these individuals go on to meet one or more of these virtual friends in person. Sociodemographic characteristics, such as being single, shape patterns of Internet use, and are related to the greater propensity of some individuals to make online social relationships. However, experience with the Internet and the ways people choose to use the Internet, such as for chatting or communicating more generally, are most directly associated with who makes new connections over the Internet and who does not. These findings suggest that the Internet plays an important role in reconfiguring the social networks of many users. Also, multivariate analyses indicate that the dynamics of online friendships are driven more by the idiosyncratic digital choices made by users of the Internet than by any mechanistic social or technological determinism.     

Social Capital,Knowledge, and the Environment: The Effect of Interpersonal Communication on Climate Change Knowledge and Policy Preferences

Abstract

This article contributes to the literature on social capital and the environment in two ways. First, we identify a relationship between interpersonal discussion networks and assessed and perceived individual scientific knowledge. We then examine if knowledge mediates the relationship between discussion networks and policy preferences about climate change (CC). Using nationally representative survey data, we examine the extent to which an individual’s interpersonal discussion network is related to knowledge on CC and support for CC policy. We find those who discuss climate have higher levels of perceived knowledge, but discussion is not related to individuals’ levels of assessed knowledge. We also find that knowledge does not fully mediate the relationship between discussion and policy preferences, implying that interpersonal discussion may influence CC policy preferences independent of perceived and assessed knowledge. We conclude with remarks about the importance of knowledge perception as well as offer some avenues to extend this research.     

College health professionals and academic librarians: collaboration for student health

College health professionals must find new ways of educating students on finding and evaluating consumer health information, specifically in the online environment. Librarians are trained as information professionals; however, librarians at general academic libraries are not taking a lead role in providing consumer health information. OBJECTIVE: The authors' purpose in this research was to determine the health information resource needs of college and university students and provide a model for collaboration between college health professionals and academic librarians. PARTICIPANTS AND METHODS: The authors compared data from a national survey on college health (N = 54,111) with their own results from a survey of general academic librarians (N = 17) to create recommendations for synching students' reported health information needs with librarians' resources. RESULTS: Although the Internet was students' second most-often consulted health information source, they ranked the believability of online health information above only television. In the librarian survey, although 12 respondents indicated that health information provision is a library's responsibility, the majority (n = 11) believed their library's consumer health outreach to be passive. CONCLUSIONS: The authors offer recommendations for partnerships between college healthcare professionals and academic librarians to better provide this information to students.     

A typology of political participation online: how citizens used Twitter to mobilize during the 2015 British general elections

This study investigates how, and to what extent, citizens use Twitter as a platform for political mobilization in an electoral context. Conceptualizing political participation as a process, we develop a typology of political participation designed to isolate mobilizing calls for action from the rest of the political discussion online. Based on Twitter data collected one week prior to the 2015 British general election, we then identify the top 100 most retweeted accounts using the hashtag #GE2015, classify them by actor type, and perform a content analysis of their Twitter posts according to our typology. Our results show that citizens – not political parties – are the primary initiators and sharers of political calls for action leading up to the election. However, this finding is largely due to an uneven distribution of citizen-driven mobilizing activity. A small number of highly active users, typically supporters of nationalist parties, are by far the most active users in our dataset. We also identify four primary strategies used by citizens to enact mobilization through Twitter: in-text calls for action, hashtag commands, sharing mobilizing content, and frequent postings. Citizens predominantly expressed political calls for action through Twitter’s hashtag feature, a finding that supports the notion that traditional conceptions of political participation require nuance to accommodate the new ways citizens are participating in the politics of the digital age.     

Social Networks,Substance Use,and Mental Health in College Students

Abstract

Objectives: The relationship between social network risk (alcohol-using close friends), perceived peer closeness, substance use, and psychiatric symptoms was examined to identify risk and protective features of college students’ social context. Participants: Six hundred and seventy undergraduate students enrolled in a large southeastern university. Methods: An online survey was administered to consenting students. Results: Students with risky networks were at a 10-fold increase of hazardous drinking, 6-fold increase for weekly marijuana use, and 3-fold increase for weekly tobacco use. College students’ who feel very close to their peers were protected against psychiatric symptoms yet were at increased risk for marijuana use. Perceived closeness of peers was highly protective against psychiatric symptoms, adding a natural preventive effect for a population at great risk for mental illness. Conclusions: Results support targeting college students through network-oriented preventive interventions to address substance use as well as mental health.     

Using Trellis software to enhance high-quality large-scale network data collection in the field

Trellis is a mobile platform created by the Human Nature Lab at the Yale Institute for Network Science to collect high-quality, location-aware, off-line/online, multi-lingual, multi-relational social network and behavior data in hard-to-reach communities. Respondents use Trellis to identify their social contacts by name and photograph, a procedure especially useful in low-literacy populations or in contexts where names may be similar or confusing. We use social network data collected from 1,969 adult respondents in two villages in Kenya to demonstrate Trellis’ ability to provide unprecedented metadata to monitor and report on the data collection process including artifactual variability based on surveyors, time of day, or location.     

Race and the beauty premium: Mechanical Turk workers’ evaluations of Twitter accounts

ABSTRACT

Race, gender, and physical attractiveness strongly affect perceptions of trustworthiness and subsequent face-to-face interactions. This study examines how social media users’ perceived gender, race, and physical attractiveness can impact their standing online. We test these broad hypotheses by having Amazon Mechanical Turk (MTurk) workers evaluate a sample of 816 Twitter accounts. Our results show a ‘beauty premium,’ where MTurk workers say they are more likely to follow Twitter accounts with attractive pro?le photos, and attractive photos are positively associated with evaluations of trust. However, very attractive Black male and female Twitter accounts are associated with lower evaluations of trust compared to their White counterparts. These findings suggest that social media users’ social characteristics, perceived from their username or profile image, can replicate offline inequality online.     

Twitter and climate change

Twitter provides a useful tool for studying public conversations about climate change, an issue that crosses international boundaries and stirs political and scientific debate. This review presents what is currently known about the way climate change is discussed on Twitter, acknowledging advantages and limitations and suggesting future areas for study. As an accessible platform, Twitter allows public expression of opinions on climate change and provides data on how these fluctuate over different times and places. Moving forward, studies assessing climate views can be improved by better linking them to demographic and other data indicating the population that Twitter users represent. The open‐ended content of tweets provides additional information, such as which topics are associated with climate change and which terms are used to discuss it. Future studies can build on these results to capture a wider range of climate‐related discussion. Finally, researchers are using Twitter to understand who initiates and participates in climate change dialog and how, by categorizing users as different actors—such as politicians, celebrities, NGOs, or the general public. Future research could consider how effective these efforts are, and how Twitter activity translates to offline outcomes.