The vitality of social media for establishing a research agenda on black lives and the movement

Social media provides scholars with important portals into the lives of marginalized communities and the movements organized to combat issues of race and racism in society. However, how to incorporate the seemingly unwieldy amount of social media data for research in our fields can pose challenges to further clarify how people navigate our social world and the issues with in it, but also how they organize to push for social change and equality. In what follows, the authors discuss how social media data can be used to enhance our studies of black lives in reflection of the burgeoning Black Lives Matter movement on issues such as gun violence, public health, and higher education.     

The Ethnographic Use of Facebook in Everyday Life

New social media have become indispensable to people all over the world as platforms for communication, with Facebook being the most popular. Hence, platforms such as Facebook are also becoming crucial tools for ethnographers because much social life now exists ‘online’. What types of field relations stem from such social media-driven ethnography? And what kinds of data do these relations present to the ethnographer? These questions must be considered in order to understand the challenges Facebook and other social media pose to ethnographic methodology. This article focuses on how Facebook may play an important role even in ethnographic work concerned with questions other than how Facebook works as a social medium. Most importantly it allows the ethnographer to keep up-to-date with the field. I argue that ethnography is already in possession of the methodological tools critically to assess the validity and value of data gathered or produced via Facebook including issues such as authenticity which are also pertinent to digital ethnography.     

Ferguson and the death of Michael Brown on Twitter: #BlackLivesMatter, #TCOT,and the evolution of collective identities

Recent events related to police brutality and the evolution of #BlackLivesMatter provides an empirical case to explore the vitality of social media data for social movements and the evolution of collective identities. Social media data provide a portal into how organizing and communicating generate narratives that survive over time. We analyse 31.65 million tweets about Ferguson across four meaningful time periods: the death of Michael Brown, the non-indictment of police officer Darren Wilson, the Department of Justice report on Ferguson, and the one year aftermath of Brown’s death. Our analysis shows that #BlackLivesMatter evolved in concert with protests opposing police brutality occurring on the ground. We also show how #TCOT (Top Conservatives on Twitter) has operated as the primary counter narrative to #BlackLivesMatter. We conclude by discussing the implications our research has for the #BlackLivesMatter movement and increased political polarization following the election of Donald Trump.     

Structural and dynamical patterns on online social networks: the Spanish May 15th movement as a case study

The number of people using online social networks in their everyday life is continuously growing at a pace never saw before. This new kind of communication has an enormous impact on opinions, cultural trends, information spreading and even in the commercial success of new products. More importantly, social online networks have revealed as a fundamental organizing mechanism in recent country-wide social movements. In this paper, we provide a quantitative analysis of the structural and dynamical patterns emerging from the activity of an online social network around the ongoing May 15th (15M) movement in Spain. Our network is made up by users that exchanged tweets in a time period of one month, which includes the birth and stabilization of the 15M movement. We characterize in depth the growth of such dynamical network and find that it is scale-free with communities at the mesoscale. We also find that its dynamics exhibits typical features of critical systems such as robustness and power-law distributions for several quantities. Remarkably, we report that the patterns characterizing the spreading dynamics are asymmetric, giving rise to a clear distinction between information sources and sinks. Our study represents a first step towards the use of data from online social media to comprehend modern societal dynamics.     

Social Media,Public Participation,and the 2010 BP Deepwater Horizon Oil Spill

This research examines how information about an oil spill, its impacts, and the use of dispersants to treat the oil, moved through social media and the surrounding Internet during the 2010 BP Deepwater Horizon oil spill. Using a collection of tweets captured during the spill, we employ a mixed-method approach including an in-depth qualitative analysis to examine the content of Twitter posts, the connections that Twitter users made with each other, and the links between Twitter content and the surrounding Internet. This article offers a range of findings to help practitioners and others understand how social media is used by a variety of different actors during a slow-moving, long-term, environmental disaster. We enumerate some of the most salient themes in the Twitter data, noting that concerns about health impacts were more likely to be communicated in tweets about dispersant use, than in the larger conversation. We describe the accounts and behaviors of highly retweeted Twitter users, noting how locals helped to shape the network and the conversation. Importantly, our results show the online crowd wanting to participate in and contribute to response efforts, a finding with implications for future oil spill response.     

Medical Tourism: A Cost or Benefit to the NHS?

‘Medical Tourism’ – the phenomenon of people travelling abroad to access medical treatment - has received increasing attention in academic and popular media. This paper reports findings from a study examining effect of inbound and outbound medical tourism on the UK NHS, by estimating volume of medical tourism and associated costs and benefits. A mixed methods study it includes analysis of the UK International Passenger Survey (IPS); interviews with 77 returning UK medical tourists, 63 policymakers, NHS managers and medical tourism industry actors policymakers, and a review of published literature. These informed costing of three types of treatments for which patients commonly travel abroad: fertility treatment, cosmetic and bariatric surgery. Costing of inbound tourism relied on data obtained through 28 Freedom-of-Information requests to NHS Foundation Trusts. Findings demonstrate that contrary to some popular media reports, far from being a net importer of patients, the UK is now a clear net exporter of medical travellers. In 2010, an estimated 63,000 UK residents travelled for treatment, while around 52,000 patients sought treatment in the UK. Inbound medical tourists treated as private patients within NHS facilities may be especially profitable when compared to UK private patients, yielding close to a quarter of revenue from only 7% of volume in the data examined. Costs arise where patients travel abroad and return with complications. Analysis also indicates possible savings especially in future health care and social costs averted. These are likely to be specific to procedures and conditions treated. UK medical tourism is a growing phenomenon that presents risks and opportunities to the NHS. To fully understand its implications and guide policy on issues such as NHS global activities and patient safety will require investment in further research and monitoring. Results point to likely impact of medical tourism in other universal public health systems.     

#SayHerName: a case study of intersectional social media activism

Social media activism presents sociologists with the opportunity to develop a deeper understanding of how groups form and sustain collective identities around political issues throughout the course of a social movement. This paper contributes to a growing body of sociological literature on social media by applying an intersectional framework to a content analysis of over 400,000 tweets related to #SayHerName. Our findings demonstrate that Twitter users who identified with #SayHerName engage in intersectional mobilization by highlighting Black women victims of police violence and giving attention to intersections with gender identity. #SayHerName is a dialogue that centres Black cisgender and transgender women victims of state-sanctioned violence. Additionally, #SayHerName is a space for highlighting Black women victims of non-police violence. Therefore, we propose that future research on social media activism should incorporate intersectionality as a basis for understanding the symbols and language of twenty-first century social movements.     

Social Psychological Dimensions of Bioenergy Development and Public Acceptance

The best technology does no good unless people use it. Thus, the future of biofuels depends not only on development of effective and efficient technologies but also on the social, economic, and political climate within which people decide to use or avoid these new fuel sources and technologies. On a social psychological level, individual behaviors are often guided by people’s attitudes toward the behavior or objects involved and by the norms established by others within the social setting. Therefore, understanding technology adoption requires an understanding of how public attitudes and beliefs are formed or changed, as well as the implications of these changes for social norms. We provide an overview of basic social psychology research connecting attitudes and norms to individual behavior, and we describe implications of these social factors for biofuel development and use.     

广州市公园对比评价研究——基于社交媒体数据的文本分析

传统公园评价的研究大多集中在单个公园使用满意度方面,存在问卷样本量小、采集时间较集中等缺陷。大数据相关研究的快速发展为公园系统评价提供了新的契机。基于对社交媒体数据的文本分析,研究对比广州市 50 个公园的评价结果,同时探究公园评价与人口统计学特征、地理区位、评价时间以及公园属性之间的关系。研究发现, 1）公园正面评价主要集中在免费设施、环境和特色等方面,而负面评价多集中于公园卫生、交通成本、停车等管理服务方面,广州公园的管理服务水平亟待提升。 2）女性较男性更关注公园能否满足其对社交场所的需求,本地游客较外地游客更关注公园本身的服务质量而非公园的外部属性。 3）基干公园应更侧重其可达性和基本的服务功能,承担大众日常活动;特色公园应更注重满足特定人群的需求及特色打造;自然公园应更关注公园生态质量并能够承担需要较大场地的活动。 4） 2010—2018 年,人们越来越关注公园特色的打造,在公园中的活动类型也越来越多样,现代公园建设更应着力于文化服务质量的提升。研究突破传统公园研究方法的局限,将大数据的手段运用到多个公园的整体评价当中,有助于建立更普适、更有针对性的公园评价指标体系,具有较高的实践价值。     

Market Integration, Livelihood Transitions and Environmental Change in Areas of Low Agricultural Productivity: A Case Study from Morocco

Rural areas of the developing world have become increasingly integrated into the world economy through both production and consumption during the last decades. This growing integration shapes the development of communities and influences their relationship to the natural environment. Where livelihoods are constrained by resource limitations and the productivity of labor in farm activities is low, it may result in a shift to nonfarm activities, which may under some conditions improve wellbeing and relieve pressure on natural resources. The possibility of such a “win-win” development pathway has important implications for development and environmental policy. In this article we use original qualitative and quantitative data to examine environmental and social changes during the last half century in a rural area of Morocco, seeking evidence of such a pathway. While our case study supports the hypothesis that nonfarm diversification in a context of resource scarcity allowed people to improve their material living conditions, the effects of economic integration and nonfarm diversification on the environment were mixed.     

The “online brain”: how the Internet may be changing our cognition

The impact of the Internet across multiple aspects of modern society is clear. However, the influence that it may have on our brain structure and functioning remains a central topic of investigation. Here we draw on recent psychological, psychiatric and neuroimaging findings to examine several key hypotheses on how the Internet may be changing our cognition. Specifically, we explore how unique features of the online world may be influencing: a) attentional capacities, as the constantly evolving stream of online information encourages our divided attention across multiple media sources, at the expense of sustained concentration; b) memory processes, as this vast and ubiquitous source of online information begins to shift the way we retrieve, store, and even value knowledge; and c) social cognition, as the ability for online social settings to resemble and evoke real‐world social processes creates a new interplay between the Internet and our social lives, including our self‐concepts and self‐esteem. Overall, the available evidence indicates that the Internet can produce both acute and sustained alterations in each of these areas of cognition, which may be reflected in changes in the brain. However, an emerging priority for future research is to determine the effects of extensive online media usage on cognitive development in youth, and examine how this may differ from cognitive outcomes and brain impact of uses of Internet in the elderly. We conclude by proposing how Internet research could be integrated into broader research settings to study how this unprecedented new facet of society can affect our cognition and the brain across the life course.     

Multidimensional Human Dynamics in Mobile Phone Communications

In today''s technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages). Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today''s information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process.     

The place of genetics in ageing research

Rapidly increasing numbers of older people present many countries with growing social and economic challenges. Yet despite the far-reaching implications of ageing, its biological basis remains a topic of much debate. Recent advances in genomics have spurred research on ageing and lifespan in human populations, adding to extensive genetic studies being carried out in model organisms. But how far is ageing controlled by our genes? In this Viewpoint, six experts present their opinions and comment on future directions in ageing research.     

Justice and Medical Research: A Global Perspective

Economic globalization has profound implications for health. The scale of injustice at a global level, reflected in inexorably widening disparities in wealth and health, also has critical implications for health related research – in particular when the opportunities for exploiting research subjects are carefully considered. The challenge of developing universal guidelines for international clinical research is addressed against the background of a polarizing, yet interdependent, world in which all are ultimately threatened by lack of social justice. It is proposed that in such a world there is a need for new ways of thinking about research and its relevance to health at a global level. Responsibility to use knowledge and power wisely requires more radical changes to guidelines for research ethics than are currently under consideration.     

The growing field of digital psychiatry: current evidence and the future of apps,social media,chatbots, and virtual reality

As the COVID‐19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies – such as smartphone apps, vir­tual reality, chatbots, and social media – have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological advances to mental health research and care, by detailing how smartphones, social media, artificial intelligence and virtual reality present new opportunities for “digital phenotyping” and remote intervention. Second, we review the current evidence for the use of these new technological approaches across different mental health contexts, covering their emerging efficacy in self‐management of psychological well‐being and early intervention, along with more nascent research supporting their use in clinical management of long‐term psychiatric conditions – including major depression; anxiety, bipolar and psychotic disorders; and eating and substance use disorders – as well as in child and adolescent mental health care. Third, we discuss the most pressing challenges and opportunities towards real‐world implementation, using the Integrated Promoting Action on Research Implementation in Health Services (i‐PARIHS) framework to explain how the innovations themselves, the recipients of these innovations, and the context surrounding innovations all must be considered to facilitate their adoption and use in mental health care systems. We conclude that the new technological capabilities of smartphones, artificial intelligence, social media and virtual reality are already changing mental health care in unforeseen and exciting ways, each accompanied by an early but promising evidence base. We point out that further efforts towards strengthening implementation are needed, and detail the key issues at the patient, provider and policy levels which must now be addressed for digital health technologies to truly improve mental health research and treatment in the future.     

Social media use and emotional and behavioural outcomes in adolescence: Evidence from British longitudinal data

We investigate the relationship between social media use and emotional and behavioural outcomes in adolescence using data from a large and detailed longitudinal study of teenagers from the UK. We use individual fixed effects, propensity score matching and treatment effects with Inverse Probability Weighted Regression Adjustment, controlling for a rich set of children’s and family’s characteristics and using comprehensive sensitivity analyses and tests to assess the potential role of unobserved variables. Our results show that prolonged use of social media (more than 4 hours per day) is significantly associated with poor emotional health and increased behavioural difficulties, and in particular decreased perception of self-value and increased incidence of hyperactivity, inattention and conduct problems. However, limited use of social media (less than 3 h per day) compared to no use has some moderate association with positive peer relationships.     

Cultivated meat manufacturing: Technology,trends, and challenges

The growing world population, public awareness of animal welfare, environmental impacts and changes in meat consumption leads to the search for novel approaches to food production. Novel foods include products with a new or specifically modified molecular structure, foods made from microorganisms, fungi, algae or insects, as well as from animal cell or tissue cultures. The latter approach is known by various names: “clean meat”, “in vitro meat” and “cell-cultured” or “(cell-)cultivated meat”. Here, cells isolated from agronomically important species are expanded ex vivo to produce cell biomass used in unstructured meat or to grow and differentiate cells on scaffolds to produce structured meat analogues. Despite the fast-growing field and high financial interest from investors and governments, cultivated meat production still faces challenges ranging from cell source choice, affordable expansion, use of cruelty-free and food-grade media, regulatory issues and consumer acceptance. This overview discusses the above challenges and possible solutions and strategies in the production of cultivated meat. The review integrates multifaceted historical, social, and technological insights of the field, and provides both an engaging comprehensive introduction for general interested and a robust perspective for experts.     

Effect of social media use on learning,social interactions,and sleep duration among university students

BackgroundSocial networking sites are widely used by university students. This study investigated the purposes for which social networking sites are used and their effects on learning, social interaction, and sleep duration.Material and methodsA cross-sectional study was conducted among 300, 17–29-year-old female students at Prince Sattam bin Abdul Aziz University. A questionnaire was used to collect data. Chi-squared (Fisher’s exact test) test was used to analyze the data.ResultsThe results showed that 97% of the students used social media applications. Only 1% of them used social media for academic purposes. Whereas 35% of them used these platforms to chat with others, 43% of them browsed these sites to pass time. Moreover, 57% of them were addicted to social media. Additionally, 52% of them reported that social media use had affected their learning activities, 66% of them felt more drawn toward social media than toward academic activities, and 74% of them spent their free time on social media platforms. The most popular applications (i.e., based on usage) were Snapchat (45%), Instagram (22%), Twitter (18%), and WhatsApp (7%). Further, 46% and 39% of them reported going to bed between 11 pm and 12 am and between 1 am and 2 am, respectively. Finally, 68% of them attributed their delayed bedtime to social media use, and 59% of them reported that social media had affected their social interactions.ConclusionsA majority of the participants reported prolonged use of social networking sites for nonacademic purposes. These habitual behaviors can distract students from their academic work, adversely affect their academic performance, social interactions, and sleep duration, and lead to a sedentary lifestyle and physical inactivity, which in turn can render them vulnerable to non-communicable diseases and mental health problems.     

Social ties at work: Roma migrants and the community dynamics

This research examines how the internal social dynamics of Roma communities at home shape their propensity to migrate. It is theoretically grounded in the literature on social capital and focuses on two core concepts: ‘migration-rich’ and ‘migration-poor’ communities. The research is based on in-depth interviews and informal discussions with Roma from six (mainly rural) communities of Transylvania (Romania) and includes qualitative data gathered from migrants as well as from people who did not migrate. The findings challenge existing conceptualizations of Roma migration as either explained by poverty alone or by cultural arguments (such as nomadism). This paper indicates that even in the context of severe poverty, social networks are actually decisive for migration. It demonstrates that the patterns of migration tend to be community-specific and shaped by a locally shared culture (ethos) on migration. The research suggests policy choices according to the community profile and its internal dynamics.     

基于社会感知的城市功能区人居环境愉悦度时空分析

人居环境愉悦度是特定环境下人类感受的定量表征指标,对优化城市人居环境有重要的指导意义。当前研究多使用社交媒体数据分析城市的发展和变化,忽略了城市环境和地理场所带来的居民心理感受影响。收集基于位置服务的微博数据和城市功能区数据,采用地理空间分析和数据挖掘方法,评价了北京市中心城区不同功能区的工作日和节假日人居环境愉悦度(2021年10月1日至24日)。主要结论：(1)人居环境愉悦度的时间趋势存在逐小时和假期-周末-工作日的规律变化。国家法定节假日和周末愉悦度最高,工作日明显降低;(2)人居环境愉悦度的空间分布存在差异,愉悦度高值区和低值区在空间上的分布离散,在工作日的表现更显著;(3)不同功能区之间人居环境愉悦度的时间分布存在差异。高密度商业区和休闲商务区多数时刻具有较高的愉悦度,文旅区和经济开发区在周末人居环境愉悦度较高,工作日中央商务区和自然景观区拥有较低的人居环境愉悦度。研究结果表明社交媒体数据在城市人居环境愉悦度研究中具有很大应用潜力,长时间序列和大空间范围数据挖掘是未来城市研究的发展趋势,对城市景观规划设计和人居环境优化具有重要的指导意义。