Does compassion go viral? Social media,caring, and the Fort McMurray wildfire

ABSTRACT

In May 2016, an enormous wildfire threatened the city of Fort McMurray, Alberta and forced the evacuation of all of the city’s residents. Outpourings of support teemed in from all across Canada and over the world, prompting the largest charitable response in Canadian Red Cross history. This paper examines Albertans’ response to the wildfire by exploring caring and helping behaviors as well as the role of social media in facilitating these remarkable charitable efforts. The paper uses mixed methods including an analysis of the most popular Tweets related to the wildfire and an Alberta survey collected months after the disaster. The analysis of tweets reveals that care, concern, and invitations to help were prominent in social media discourse about the wildfire. The analysis of survey data demonstrates that those who followed news about the wildfire on social media express higher overall levels of care and concern for those affected, which led to helping those impacted by the wildfire. The findings provide important insights about the role of social media in disaster relief and recovery as well as citizens’ civic engagement.     

Community Wildfire Events as a Source of Social Conflict*

Abstract The literature notes that natural disasters, including wildfires, that damage human settlements often have the short‐term effect of “bringing people together.” Less recognized is the fact that such events can also generate social conflict at the local level. This study examines the specific sources of such social conflict during and after community wildfire events. Examining qualitative data generated from six case studies of wildfires in the American West, we suggest that integrating the theories of Weber, Giddens, and Habermas with community interaction theory provides a context for understanding such conflict. Rationalized forms of interaction and problem solving imposed by extra‐local organizations during and after wildfire events are often resisted by local actors who are also inhibited from acting due to local capacity limitations. Thus, conflict occurs when social relations are disembedded by non‐local entities, and there is a perceived loss of local agency.     

Characterizing air pollution patterns on multiple time scales in urban areas: a landscape ecological approach

Quantifying the spatiotemporal patterns of air pollution in urban areas is essential for studying ecological processes, environmental quality, and human health in cities. To adequately characterize or monitor air pollution patterns, one important issue is scale because the concentrations of air pollutants are temporally dynamic and spatially heterogeneous. Our research addresses the scale issue in air quality monitoring and analysis by considering the following research questions: (1) How does the spatial pattern of ozone change with the temporal scale of analysis? (2) How does the spatial pattern of PM₁₀ change with the temporal scale of analysis? (3) What implications do these scale effects have for designing and evaluating air pollution monitoring networks? We systematically examined these questions based on data from official air pollution monitoring networks in the Phoenix metropolitan region, Arizona, USA. Our results showed that spatial patterns of both ozone and PM₁₀ may change substantially with the temporal scale of analysis. Ozone patterns at broader (but not finer) temporal scales were more consistent across years, and exhibited a more uniform, regionalized pattern. PM₁₀ patterns were less consistent across years than ozone, and exhibited a more localized effect. Spatial patterns of PM₁₀ also varied seasonally. Our study demonstrates that it is critically important to consider the temporal and spatial scales in designing or evaluating air monitoring networks in particular and in conducting air pollution research in general.     

Children and Young People Living Through a Serious Family Illness: Structural,Interpersonal and Personal Perspectives

This study explores the experiences of children and young people in Britain living through a serious family illness. The study considers the interplay between social structures, social relationships and individual agency. We draw on data from the Millennium Cohort Study to estimate the number of children and young people affected nationally and on seven in‐depth interviews to understand young people’s experiences and the effects on their daily lives. Living through a serious family illness impacts on young people’s educational achievements, mental health and social relationships over long periods. Policy and service responses are suggested.     

Setting socially mediated engagement parameters: A topic modeling and text analytic approach to examining polarized discourses on Gillette’s campaign

Opinions on social and political issues can be easily polarized in socially mediated contexts. Using an inductive topic modeling and text analytical approach, the study analyzes more than 100,000 original tweets on polarized discussions on Gillette’s controversial campaign addressing toxic masculinity. Results suggest that influencers serve as ideological hyper-prototypes that attract significant attention equally from supporters and detractors, while hashtags and users’ reference of current events span the conversations across multiple contexts. Study results also indicate that horizontal information cascades from external ideologically centered sources that serve users’ identity and ideological signaling are a potential contributor of discourse polarization. Based on the study results, an identity- and representation-based approach to understanding socially mediated discourses is proposed, and four parameters of socially mediated engagement identified to further theorize engagement for public relations research in digital contexts.     

试论进步时代美国的城市空气污染

19世纪90年代至一战前这一美国历史上的进步时代不仅是美国从农业社会迈入工业社会的大转折年代,同时也是城市空气污染问题开始凸显的时期。进步时代美国的城市空气污染主要源自19世纪下半叶工业化进程中的生产活动和人们不尽合理的生活方式。从结果来看,城市空气污染一方面直接影响和损害民众身体健康,另一方面也能成为引发其他问题的导火索,甚至激起剧烈的社会矛盾和冲突。可以说,城市空气污染问题是世纪之交美国社会自身运行状况的真实反映,同时也鲜明体现了美国社会的转型特性,对其进行研究或将助益于省思当下中国的城市空气污染问题。     

Donor engagement through Twitter

This research examines how non-profit organizations can build and strengthen relationships with donors using the social media tool Twitter. Strong relationships are what lead to donor engagement in a non-profit cause, and the participatory culture that grows online as a result of using Twitter can help to initiate and build relationships with online donors. In this research, tweets were collected from two non-profit organizations, Care2 and United Way Toronto, and one for-profit corporation, Ford Motor Company. The textual construction of the tweets was analyzed using discourse analysis and a rhetorical framework as methodologies. Two main communication theories – the Social-Judgement Theory and the Social Networking Theory – emerged from the analyzed data and were driving forces behind the results. When applied to the data, it was evident that both these theories supported and illustrated ways to build and strengthen relationships using the social media tool, Twitter.     

#Engagement: use of Twitter chats to construct nominal participatory spaces during health crises

Although Twitter chats and other forms of social media engagement events are idealized in the literature as opportunities for dialogic communication between organizations and individuals, less is known about how engagement is operationalized within these spaces. Using textual and content analysis, we conducted two studies to explore how health organizations engage with the public via Twitter chats during the Ebola and Zika outbreaks. In official records of Ebola chats, the organization addressed both hostile and neutral public questions that pressed for specification of disease characteristics and protocol. However, in a content analysis of all public tweets sent during a later Zika chat, we found that questions were privileged, and other tweet forms and themes were excluded from the participatory space. Specifically, public comments demonstrating expertise or extending the topic of the chat were not addressed by the organization. Our analysis provides insight into the implicit rules governing how organizations engage with the public online during a rapidly evolving health crisis. We argue that the question–response dyad is a form of ideal communication that suggests engagement but maintains organizational expertise.     

Pandemic in the Time of Trump: Digital Media Logic and Deadly Politics

This paper examines the power of a mediatized President to use reflexive propaganda—the rules and assumptions of digital media—to define a public health crisis. During the 2020 coronavirus pandemic, President Trump engaged in attention-based politics, or the use of media to draw attention of the largest audience to himself, at the expense of an efficient response to a major public health crisis. The repetitive tweets, with a common form—vulgar and combative language, usually against journalists—converted Donald Trump into a digital meme and enabled the President to dwell on his distorted accomplishments and TV ratings, to downplay health risks, and initially define the lethal virus as a benign hoax.     

Environmental stressors: the mental health impacts of living near industrial activity

A growing literature examines whether the poor, the working class, and people of color are disproportionately likely to live in environmentally hazardous neighborhoods. This literature assumes that environmental characteristics such as industrial pollution and hazardous waste are detrimental to human health, an assumption that has not been well tested. Drawing upon the sociology of mental health and environmental inequality studies, we ask whether industrial activity has an impact on psychological well-being. We link individual-level survey data with data from the US. Census and the Toxic Release Inventory and find that residential proximity to industrial activity has a negative impact on mental health. This impact is both direct and mediated by individuals' perceptions of neighborhood disorder and personal powerlessness, and the impact is greater for minorities and the poor than it is for whites and wealthier individuals. These results suggest that public health officials need to take seriously the mental health impacts of living near industrial facilities.     

Reasons for low levels of interactivity: (Non-) interactive CSR communication in twitter

The interactivity levels of online CSR communication are typically low. This study explores the reasons for the low levels of interactivity in the popular social media tool Twitter. An analysis of 41,864 Twitter messages (tweets) from the thirty most central corporate accounts in a CSR Twitter network is conducted. Comparisons (t-test) between CSR tweets and general tweets and between specialized CSR Twitter accounts and general accounts reveal that the low levels of interactivity are due to a reactive interaction approach and a lack of specialization.     

TWITTER AS A TECHNOLOGY FOR AUDIENCING AND FANDOM

Amongst the most prominent uses of Twitter is its role in the discussion of widely televised events: Twitter's own statistics for 2011, for example, list major entertainment spectacles (the MTV Music Awards and the BET Awards) and sports matches (the UEFA Champions League final and the FIFA Women's World Cup final) amongst the events generating the most tweets per second during the year. During such major media events, Twitter is used most predominantly as a technology of fandom: it serves as a backchannel to television and other streaming audiovisual media, enabling users offer their own running commentary on the universally shared media text of the event as it unfolds live. This article examines the use of Twitter as a technology for the expression of shared fandom in the context of a major, internationally televised annual media event: the Eurovision Song Contest. Our analysis draws on comprehensive data sets for the ‘official’ event hashtags, #eurovision, #esc, and #sbseurovision. Using innovative methods that combine qualitative and quantitative approaches to the analysis of Twitter data sets containing several hundreds of thousands, overall patterns of participation to discover how audiences express their fandom throughout the event are examined. Such analysis is able to provide a unique insight into the use of Twitter as a technology for fandom and for what in cultural studies research is called ‘audiencing’: the public performance of belonging to the distributed audience for a shared media event. The work points to Twitter as an important new medium facilitating the connection and communion of fans.     

How are major gambling brands using Twitter?

ABSTRACT

This paper is the first to compare how major gambling brands are using the popular social media platform Twitter, looking at how gambling brands vary in the frequency of their messages, the content of their tweets and engagement with their Twitter activity. 63,913 tweets were collected from seven well-known British gambling brands (Bet365, Betfair, Betfred, Coral, Ladbrokes, Paddy Power, William Hill) and their associated Twitter accounts (Total Number of Accounts = 22) via the Twitter Application Program Interface (API) on the 1 August 2018. Companies varied in their approach to Twitter, some posting from a single account whereas others segmented their tweets by topic or purpose. Frequency analysis of tweets showed that on average major gambling brands tweeted anywhere between 89 and 202 tweets a day. Sentiment analysis of tweets showed a positivity bias with the language in tweets being associated with positive emotions like anticipation, trust and joy. Paddy Power, Bet365 and Coral produced the content that received the highest number of likes or shares from other twitter users. This study highlights the extent to which companies are using Twitter; followers could potentially be receiving hundreds of messages per day.     

‘Social media logic’ meets professional norms: Twitter hashtags usage by journalists and politicians

Social media is characterized by a set of principles defined as ‘social media logic’ [van Dijck, J., & Poell, T. (2013). Understanding social media logic. Media and Communication, 1, 2–14. doi:10.12924/mac2013.01010002], derived from the theory of ‘media logic’ developed in the era of mass media [Altheide, D. L., & Snow, R. P. (1979). Media logic. London: Sage.]. This article explores how ‘social media logic’ impacts on two interconnected but yet distinct professions, journalism and politics, by analysing one of the key principles of social media logics, namely ‘connectivity’, an advanced strategy of algorithmically connecting users to content and other users in social media [van Dijck, J., & Poell, T. (2013). Understanding social media logic. Media and Communication, 1, 2–14. doi:10.12924/mac2013.01010002]. The operationalization of connectedness in this study is the Twitter hashtag, as it is the most common feature for users to connect and relate to within a larger networked discourse [Bruns, A., & Burgess, J. (2015). Twitter hashtags from ad hoc to calculated publics. In N. Rambukkana (Ed.), Hashtag publics: The power and politics of discursive networks (pp. 13–27). New York, NY: Peter Lang.]. The empirical material consists of tweets posted by 10 Norwegian politicians and 10 journalists, selected on their level of activity on Twitter. The tweets are analysed with the emphasis on the frequency and content of the hashtags, and the methodological design is comparative between the journalists and the politicians. A key finding is that there are significant differences between how journalists and politicians use hashtags, but that they both use mass media hashtags to reach outside their follower networks. Consequently, this demonstrates that journalists’ and politicians’ use of social media is closely connected to their professional norms, and that the ‘social media logic’ is still related to the ‘media logic’ of mainstream and broadcast media.     

THe Use of Hormone Therapy in the Male-to-Female Transgender Population: Issues for Consideration in Thailand

ABSTRACT

Objectives: Prejudice against transgender people is evident around the world with discrimination in many aspects of life, including access to health care. Even in Thailand, where male-to-female (MTF) transgender people are particularly visible and society is reputedly accepting, barriers to attaining appropriate health care still exist. The vast majority of MTF transgender people in Thailand are reported to be taking hormone therapy; however, most do not seek medical advice regarding these regimens, with the initiation and tailoring of medication often being guided by sympathetic peers instead. The objectives of this review are to consider hormone therapy in the context of the Thai population and provide recommendations regarding ways to improve practice and reduce health risks. Methods: The data analysis in this article represents a comprehensive literature review regarding hormone therapy for MTF transgender people including the guidelines for initiation, prescribing, and monitoring of hormone therapy, risks for serious adverse events and reported hormone use by the MTF transgender population in Thailand. Results: There is a notable lack of published research regarding hormone therapy in the transgender population. Guidelines, whilst relying considerably on expert opinion, do provide clear recommendations on the initiation, maintenance and monitoring of hormone therapy. Comparison of endocrine guidelines with reported practice in Thailand reveals significant opportunities for improvement in MTF transgender hormone therapy. Conclusions: The incautious use of hormone therapy may represent a considerable health risk behavior undoubtedly contributing to the morbidity and mortality in MTF transgender people. Although there is currently considerable focus on sexually transmitted infections in the MTF transgender population, a more comprehensive approach to health care is required, including education for transgender people and the health professionals who attend to them regarding appropriate hormone therapy.     

The more attacks,the more retweets: Trump’s and Clinton’s agenda setting on Twitter

The present study aims to contribute to the agenda setting theory and political campaign literature by examining candidates’ tweets and their effects on voter reactions in the context of the 2016 U.S. presidential election. Content analysis of Donald Trump’s and Hillary Clinton’s 3-month tweets (N = 1575) revealed that half of their tweets were attacks, and those attacks were effective in attracting favorites and retweets for both candidates. Their tweets reflected their issue agendas highlighted on campaign websites, and they mainly emphasized issues owned by their parties in both venues. Some of the issues Trump stressed in his tweets (i.e., media bias and Clinton’s alleged dishonesty) drew significantly more favorites and retweets, suggesting public agenda setting possibilities through Twitter. None of the issues Clinton emphasized were significant predictors of favorites and retweets. However, visual elements such as pictures and videos were effective in bringing voter reactions for Clinton. While Clinton sent twice as many tweets as Trump did during the three months, Trump’s tweet received in average three times as many favorites and retweets as Clinton’s. Overall, the results show that Trump was more successful than Clinton in drawing public attention to preferred issues through Twitter.     

Disaster and response:science, systems and realities

The Indian Ocean Tsunami of December 2004 was one of the most significant natural disasters in modern history. The response that it drew was unprecedented at both local and international levels. While a range of specific impacts and losses may be predicted within the affected populations, there is substantial evidence that adverse impacts upon mental health may represent one of the most significant outcomes of such events. People from poorer countries are disproportionately exposed to such emergencies and may experience greater psychosocial burden in the aftermath, as well as a range of adaptations. This raises important questions regarding the current capacity of response agencies to mitigate negative impacts but also concerning the cultural context in which such mental health effects are defined. It also calls into question whether "indicated" interventions are both realistic and ecologically valid in non-Western settings. The science of Disaster Mental Health is a relatively new field, currently engaged in a number of such debates. However, there is some emerging consensus about what constitutes good public mental health practice throughout the phases of emergency response and across diverse cultural settings. Existing data and practice guidelines provide frameworks that may be adapted to allow health and recovery workers to identify and reduce mental health morbidity, support healing and harness the agency of those affected for the recovery process.     

Age and anger.

Are older people less angry? I propose that age differences in roles, personal and social circumstances, the sense of control, health, and socio-emotional outlook explain the association. I use data from a 1981 representative sample of 951 physically disabled individuals from Southwestern Ontario, Canada and a 1996 national probability sample of 1,450 U.S. respondents--the General Social Survey (GSS). Both surveys show a negative association between age and anger. In the Ontario sample older people are more likely to occupy widowhood and retirement roles, live with fewer people, have less interpersonal estrangement, and have fewer life events; these characteristics explain their lower anger. Also, were it not for their lower control and worse health older people in the Ontario sample would report even lower anger. In the GSS sample, age differences in household composition, satisfaction with family life and financial circumstances, perceived time pressures in daily life, religious involvement, and socio-emotional outlook contribute to the lower anger among older adults. Collectively, my findings show that the psychosocial and structural environment--experienced differently by age--influences the risk of anger.     

Analyzing public sentiments online: combining human- and computer-based content analysis

Recent technological developments have created novel opportunities for analyzing and identifying patterns in large volumes of digital content. However, many content analysis tools require researchers to choose between the validity of human-based coding and the ability to analyze large volumes of content through computer-based techniques. This study argues for the use of supervised content analysis tools that capitalize on the strengths of human- and computer-based coding for assessing opinion expression. We begin by outlining the key methodological issues surrounding content analysis as performed by human coders and existing computational algorithms. After reviewing the most popular analytic approaches, we introduce an alternative, hybrid method that is aimed at improving reliability, validity, and efficiency when analyzing social media content. To demonstrate the usefulness of this method, we track nuclear energy- and nanotechnology-related opinion expression on Twitter surrounding the Fukushima Daiichi accident to examine the extent to which the volume and tone of tweets shift in directions consistent with the expected external influence of the event. Our analysis revealed substantial shifts in both the volume and tone of nuclear power-related tweets that were consistent with our expectations following the disaster event. Conversely, there was decidedly more stability in the volume and tone of tweets for our comparison issue. These analyses provide an empirical demonstration of how the presented hybrid method can analyze defined communication sentiment and topics from large-scale social media data sets. The implications for communication scholars are discussed.