Tweeting India’s Nirbhaya protest: a study of emotional dynamics in an online social movement

Abstract

Previous research has recognized the role of emotions in protests and social movements in the offline world. Despite the current scenario of ubiquitous social media and ‘Twitter revolutions,’ our knowledge about the connections between emotions and online protests still remains limited. In this study, we examine whether online protest actions follow the same emotional groundwork for supporting and nurturing a social movement as in the offline world, and how these emotions vary across various stages of the social movement. Through a computer-assisted emotion analysis of 65,613 Twitter posts (tweets), posted during the Nirbhaya social movement (movement against the Delhi gang-rape incident) in India, we identified a strong resemblance between online emotional patterns and offline protest emotions as discussed in literature. Formal statistical testing of a range of emotions (negativity, positivity, anger, sadness, anxiety, certainty, individualism, collectivism, and achievement) demonstrates that they significantly differed across stages of the social movement; as such, they influenced the course of the online protest, resonating parallels with offline events. The findings highlight the importance of anger and anxiety in stirring the collective conscience, and identify that positive emotion was pervasive during the protest event. Implications of these findings are discussed.     

Differences in health-related quality of life among persons living with HIV/AIDS

We sought to identify differences in health-related quality of life (HRQoL) among a sample of HIV positive individuals receiving case management services in northern Florida. Our study consisted of 97 individuals receiving HIV case management that included 56 males (57.7%) and 81 African Americans (83.5%) who were 47.05 years old (SD = 9.33). HRQoL was measured using the HIV/AIDS Targeted-Quality of Life scale (HAT-QOL). Results show significant group differences in HRQoL by race, income, tobacco use, alcohol use, drug use, and CD4 cell count, despite only 43% of this sample being able to recall their most recent CD4 count. Translating these findings to inform practice, HIV care providers need to provide continuing education to patients about their disease status, knowledge, and treatment as it relates to self-care. Also, HIV care providers should be especially cognizant of the impact that tobacco, alcohol, and illicit drug use has on HRQoL for persons living with HIV/AIDS (PLHA) by working to assess social support, identify readiness for change, and make appropriate referrals for treatment.     

Attitudes and knowledge of social work students towards sexuality in later life

Background: Sexuality in later life may be compromised by restrictive attitudes, and lack of knowledge among professionals. This study examined social work students’ attitudes and knowledge towards sexuality and sexual expression in later life and investigated associated factors.

Method: Undergraduate social work students from Israel (n = 375) completed the Attitudes and Knowledge towards Older Adult’s Sexuality Scale and questionnaires regarding contacts and exposure to older adults, prior sexual education and sociodemographic.

Results: Attitudes and knowledge were correlated. First year students were the most conservative and demonstrated the least knowledge. No differences were found between men and women regarding attitude. However, men and married students had greater knowledge regarding older adults’ sexuality than women or non-married students did. Increased religious observance predicted more conservative attitudes. Age predicted more permissive attitudes and greater knowledge about sexuality in later life. A mediating process examined, suggested knowledge is a mediator variable between age and attitudes towards older adults’ sexuality.

Conclusion: As the population in Israel and in Western countries ages, it is important to examine the knowledge and attitudes of social work students regarding older adults’ sexuality and to develop educational and interventional programs aimed at increasing awareness, knowledge, and positive attitudes in this area.     

Human Rights Matter

This article serves as a response to all those who commented on my original essay “Human Rights: What the United States Might Learn from the Rest of the World and, Yes, from American Sociology.”     

Narratives of life experience in the digital space: a case study of the images in Richard Deitsch’s single best moment project†

ABSTRACT

On 8 July 2013, Sports Illustrated media critic Richard Deitsch – inspired by a photo that captured a friend celebrating with a brother who had won the NCAA Hockey Championships – asked his 90,000-plus Twitter followers if they had the best moment of their life captured in a photograph. Deitsch retweeted the initial pictures, which prompted many more people to send out photos of their favorite moments. Many of his followers shared photos of some of their most intimate moments, leading CNN to call Deitsch ‘the sportswriter who made Twitter cry’ [Mendoza, D. (2013, July 11). The sportswriter who made Twitter cry. CNN. Retrieved December 11, 2013, from http://www.cnn.com/2013/07/11/tech/storify-best-moments/.s]. Through a thematic examination of 314 photos shared in the Deitsch exchange, the authors reveal that an overwhelming number of images are identified as milestone moments, or narratives of life experience, which denotes that as communication platforms evolve and technologies offer different modes of expression, users are still selecting narrative structure to disseminate their messages.     

新媒体视角下廊坊市社会舆情教育与管理研究

新媒体对社会舆情具有双重影响：一方面,公众可以借此学习各种知识,关注社会发展,推动社会进步;另一方面,新媒体使日常舆论引导难度逐渐增大,政府公信力受到影响,网络信息安全面临挑战。面对此种情况,针对新媒体认识不足等突出问题,廊坊市应采取有效措施,优化社会舆论环境,建立新媒体舆情监测预警系统,科学调解控制社会舆情,拓宽公众表达渠道,促进社会政治经济健康发展。     

Piloting a social work doctoral programme: Ukraine’s vignette

In Ukraine the last decade was marked by significant changes in social work education development that evidence its academization and professionalization. International cooperation was a useful catalyst in these processes. The above has specific implications for developing the three cycles of social work education in Ukraine – Bachelor, Master and PhD programmes. Implemented in 2009–2012, an international project involving six European countries supported piloting of the first PhD programme in social work in Ukraine. This programme encountered a set of challenges that originated from the particularities of social work education in Ukraine and the broader academic context. Participatory observations and reflections demonstrate the challenges evident in Global North–Global South professional relations. Ukrainian social work education history evidences permanent localization of the international standards and experiences that have had various effects on social work academization.     

Named social workers – better social work for learning disabled people?

In 2016, the Department of Health in England announced that it would pilot the role of Named Social Worker. We chose to be part of the pilot because we regularly witness too many people’s lives being defined by restrictions imposed by professionals. Erroneous associations between the concepts of risk and danger have become the norm in how learning disabled people’s decision-making is perceived and managed. However, we believe social workers educated in the social model of disability and grounded more generally in disability studies offer an alternative perspective. The pilot is an opportunity to test our hypothesis that social work practice rooted in social model thinking can successfully challenge oppressive practice and disabling barriers, thus providing the opportunity for social workers to genuinely be ‘servants not masters’ in the lives of disabled people.     

What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.     

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.