“It’s a fraught subject”: Listening to Evangelical Doctors Talk about Abortion

Author(s):  
Jennifer Riley

News coverage, social media and protests alike tend to polarise people’s stances on abortion. Moreover, these also often reveal category slippage between ‘pro-life’ and ‘Christian’ or ‘religious,’ perpetuating the impression that to be religious is to reject abortion. Contrary to both tendencies, this article engages with abortion from a lived religion perspective. It listens to evangelical healthcare practitioners as they talk about their attitudes towards abortion. This reveals a complex picture, their ethical engagement variously taking the form of resistance, neutrality, uncertainty, compartmentalisation, change and situational negotiation, while drawing upon multiple sources of ethical authority, including their own ‘experiential knowledge.’ Having presented these complexities, the article concludes by exploring their implications. First, it considers the value of foregrounding emotion when engaging in lived religion research around ethics and controversial topics. Secondly, it suggests that combining social bioethics with emotional narratives might represent a means of communicating this complexity.

2020 ◽  
Vol 34 (6) ◽  
pp. 833-845 ◽  
Author(s):  
Youngsu Lee ◽  
Joonhwan In ◽  
Seung Jun Lee

Purpose As social media platforms become increasingly popular among service firms, many US hospitals have been using social media as a means to improve their patients’ experiences. However, little research has explored the implications of social media use within a hospital context. The purpose of this paper is to investigate a hospital’s customer engagement through social media and its association with customers’ experiential quality. Also, this study examines the role of a hospital’s service characteristics, which could shape the nature of the interactions between patients and the hospital. Design/methodology/approach Data from 669 hospitals with complete experiential quality and demographic data were collected from multiple sources of secondary data, including the rankings of social media friendly hospitals, the Hospital Compare database, the Center for Medicare and Medicaid (CMS) cost report, the CMS impact file, the Healthcare Information and Management Systems Society Analytics database and the Dartmouth Atlas of Health Care. Specifically, the authors designed the instrumental variable estimate to address the endogeneity issue. Findings The empirical results suggest a positive association between a hospital’s social media engagement and experiential quality. For hospitals with a high level of service sophistication, the association between online engagement and experiential quality becomes more salient. For hospitals offering various services, offline engagement is a critical predictor of experiential quality. Research limitations/implications A hospital with more complex services should make efforts to engage customers through social media for better patient experiences. The sample is selected from databases in the US, and the databases are cross-sectional in nature. Practical implications Not all hospitals may be better off improving the patient experience by engaging customers through social media. Therefore, practitioners should exercise caution in applying the study’s results to other contexts and in making causal inferences. Originality/value The current study delineates customer engagement through social media into online and offline customer engagement. This study is based on the theory of customer engagement and reflects the development of mobile technology. Moreover, this research may be considered as pioneering in that it considers the key characteristics of a hospital’s service operations (i.e., service complexity) when discovering the link between customers’ engagement through a hospital’s social media and experiential quality.


Journalism ◽  
2018 ◽  
Vol 21 (5) ◽  
pp. 633-651 ◽  
Author(s):  
Theo Araujo ◽  
Toni GLA van der Meer

Since news circulation increasingly takes place online, the public has gained the capacity to influence the salience of topics on the agenda, especially when it comes to social media. Considering increased scrutiny about organizations, this study aims to understand what causes heightened activity to organization-related topics among Twitter users. We explore the extent to which news value theory, news coverage, and influential actors can explain peaks in Twitter activity about organizations. Based on a dataset of 1.8 million tweets about 18 organizations, the findings show that the news values social impact, geographical closeness, facticity, as well as certain influential actors, can explain the intensity of online activities. Moreover, the results advocate for a more nuanced understanding of the relation between news media and social media users, as indications of reversed agenda-setting patterns were observed.


2020 ◽  
Vol Volume 4 (Issue 2) ◽  
pp. 478-496
Author(s):  
Farrukh Shahzad ◽  
Prof. Dr. Syed Abdul Siraj

Inter-media agenda setting is a commonly used phenomenon to investigate the transfer of contents between news media. The recent digitization era challenges the traditional presuppositions. This study investigates the inter-media agenda setting influence between social media and traditional media. To address this question, the present study investigates first level agenda setting between Twitter and ARY news during Farishta murder case 2019. Content analysis method was used to assess agendas present within Twitter and ARY news. By employing cross-lagged correlation, the study investigates the inter-media agenda setting influence between Twitter agendas and of ARY news agendas. Aggregate findings of cross-lagged correlation reveal a clear agenda setting influence of Twitter on ARY news coverage agenda about Farishta murder case. The results of the study suggest that Twitter has the capability to influence broadcast agendas of television in Pakistan


2021 ◽  
Vol 9 ◽  
Author(s):  
Debanjan Banerjee ◽  
K. S. Meena

The Coronavirus disease 2019 (COVID-19) pandemic has emerged as a significant and global public health crisis. Besides the rising number of cases and fatalities, the outbreak has also affected economies, employment and policies alike. As billions are being isolated at their homes to contain the infection, the uncertainty gives rise to mass hysteria and panic. Amidst this, there has been a hidden epidemic of “information” that makes COVID-19 stand out as a “digital infodemic” from the earlier outbreaks. Repeated and detailed content about the virus, geographical statistics, and multiple sources of information can all lead to chronic stress and confusion at times of crisis. Added to this is the plethora of misinformation, rumor and conspiracy theories circulating every day. With increased digitalization, media penetration has increased with a more significant number of people aiding in the “information pollution.” In this article, we glance at the unique evolution of COVID-19 as an “infodemic” in the hands of social media and the impact it had on its spread and public reaction. We then look at the ways forward in which the role of social media (as well as other digital platforms) can be integrated into social and public health, for a better symbiosis, “digital balance” and pandemic preparedness for the ongoing crisis and the future.


Author(s):  
Tamás Iványi

In recent years, festivals have become an essential part of summer activities for many members of Generation Z. Programs that last several days also mean significant financial burden for young people, so they gather information from multiple sources before decision-making. The purpose of the study is to examine which information sources – especially social media – and which motivations have become significant in the context of festival tourism's decision process.An online survey was conducted as part of and exploratory research over four consecutive years dealing with the use of information sources and the importance of the music festivals' characteristics targeting the Hungarian Generation Z attendees of festivals. Besides the descriptive statistics cluster analysis and ANOVA tables were used.It can be emphasized that in the case of festival tourism, the influence and usage of social media, relying on the opinions of acquaintances and friends is much more significant in the decision-making phase than in the case of traditional tourism. The program and the leading performers are not the only important factors, but meeting friends, the atmosphere of the festival, and reasonable value for money are also significant. Three groups of users could be identified: those who are mainly browsing official websites and search engines, those who try to make decisions based on earlier experiences, and those who are also looking at social media sites and digest several types of content to make the decision. Organisers of festivals should understand the differences among these groups to create better communication strategies.


2018 ◽  
Vol 20 (10) ◽  
pp. 3858-3878 ◽  
Author(s):  
Mark A Rademacher

How people with ostomies—a surgically created opening in the body that expels bodily wastes—use social media to challenge ostomy stigma represents a growing area of research, especially the creation, posting, and circulation of ostomy selfies within online health communities. This project contributes to this research by examining reactions by a mass audience to news stories about a viral ostomy selfie posted by ostomate Bethany Townsend to a Crohn’s disease Facebook page. By analyzing the user-generated comments associated with this news coverage, this study illuminates how ostomy selfies are interpreted outside the highly sympathetic audiences that populate online health communities. Analysis reveals positive and negative reactions, posted by ostomates and non-ostomates alike, coexist within the comments. Implications of the conflicting reactions to ostomies, in general, and ostomy selfies, in particular, are discussed with regard to the effort to destigmatize ostomies in society.


2021 ◽  
Vol 2 (4) ◽  
pp. 418-433
Author(s):  
Nabi Rezvani ◽  
Amin Beheshti

Cyberbullying detection is a rising research topic due to its paramount impact on social media users, especially youngsters and adolescents. While there has been an enormous amount of progress in utilising efficient machine learning and NLP techniques for tackling this task, recent methods have not fully addressed contextualizing the textual content to the highest possible extent. The textual content of social media posts and comments is normally long, noisy and mixed with lots of irrelevant tokens and characters, and therefore utilizing an attention-based approach that can focus on more relevant parts of the text can be quite pertinent. Moreover, social media information is normally multi-modal in nature and may contain various metadata and contextual information that can contribute to enhancing the Cyberbullying prediction system. In this research, we propose a novel machine learning method that, (i) fine tunes a variant of BERT, a deep attention-based language model, which is capable of detecting patterns in long and noisy bodies of text; (ii)~extracts contextual information from multiple sources including metadata information, images and even external knowledge sources and uses these features to complement the learner model; and (iii) efficiently combines textual and contextual features using boosting and a wide-and-deep architecture. We compare our proposed method with state-of-the-art methods and highlight how our approach significantly outperforming the quality of results compared to those methods in most cases.


Author(s):  
Elitza Katzarova

What role is there for publicity in the global anti-corruption debate? This chapter introduces the concepts of “transparency” and “publicity” as analytical tools that account for differentiated channels through which the availability of information can induce social change. Two case studies provide insights into the role of traditional media in comparison to new social media. The first case analyzes the role of Western news coverage during the negotiations of the OECD Anti-Bribery Convention in the mid-1990s and the threat of publicity as a negotiation strategy. The second case investigates the role of social media platforms such as Twitter, Facebook, and YouTube in the success of the anti-corruption strike carried out by Indian social activist Anna Hazare in 2011. By introducing and further applying the conceptual toolkit of “transparency” and “publicity” to both cases, this chapter argues that transparency requires publicity or in the case of the OECD negotiations—the threat of publicity—in order for the anti-corruption campaign to be successful. The chapter concludes with a discussion of the ramifications for transparency and publicity as tools for social change.


2019 ◽  
Vol 38 (5) ◽  
pp. 633-650 ◽  
Author(s):  
Josh Pasek ◽  
Colleen A. McClain ◽  
Frank Newport ◽  
Stephanie Marken

Researchers hoping to make inferences about social phenomena using social media data need to answer two critical questions: What is it that a given social media metric tells us? And who does it tell us about? Drawing from prior work on these questions, we examine whether Twitter sentiment about Barack Obama tells us about Americans’ attitudes toward the president, the attitudes of particular subsets of individuals, or something else entirely. Specifically, using large-scale survey data, this study assesses how patterns of approval among population subgroups compare to tweets about the president. The findings paint a complex picture of the utility of digital traces. Although attention to subgroups improves the extent to which survey and Twitter data can yield similar conclusions, the results also indicate that sentiment surrounding tweets about the president is no proxy for presidential approval. Instead, after adjusting for demographics, these two metrics tell similar macroscale, long-term stories about presidential approval but very different stories at a more granular level and over shorter time periods.


2019 ◽  
Vol 29 (2) ◽  
pp. 213-239 ◽  
Author(s):  
Ramaswami Mahalingam ◽  
Srinath Jagannathan ◽  
Patturaja Selvaraj

ABSTRACT:In this qualitative study we examine the role of caste, class, and Dalit janitorial labor in the aftermath of floods in Chennai, India, in 2015. Drawing from a variety of sources including interviews, social media, and news coverage, we studied how Dalit (formerly known as ‘untouchable’) janitors were treated during the performance of janitorial labor for cleaning the city. Our study focuses on two theoretical premises: (a) caste-based social relations reproduce inequalities by devaluing Dalit labor as ‘dirty work’; and (b) Dalit subjectivities, labor, and sufferings including occupational hazards become invisible and ungrievable forcing Dalits to provide a counter narrative to preserve the memory of their trauma and dignity injuries. We find that the discursive construction of janitorial labor as dirty work forced Dalit janitors to work in appalling and unsafe working conditions. Janitors suffered several dignity injuries in terms of social exclusion and a lack of recognition for their efforts and accomplishments. Specifically, we examine various ways through which caste, dirty work, and dignity intersected in the narrative accounts of Dalit janitors. We also explore memory and how processes of remembering and forgetting affected the dignity claims of Dalit janitors.


Sign in / Sign up

Export Citation Format

Share Document