How social media discourses organize communication online: a multi-level discursive analysis of tensions and contradictions in teens’ online experiences

2019 ◽  
Vol 67 (5) ◽  
pp. 477-505
Author(s):  
Shawna Malvini Redden ◽  
Amy K. Way
Keyword(s):  
Social Media ◽  
Discursive Analysis ◽  
Multi Level ◽  
Media Discourses

Food Network’s food-career frenzy? An examination of students’ motivations to attend culinary school

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Ryan Whibbs ◽  
Mark Holmes
Keyword(s):  
Social Media ◽  
Career Aspirations ◽  
Popular Media ◽  
Food Network ◽  
Intention To Persist ◽  
Culinary School ◽  
Media Discourses

This research presents the findings of a year long study, undertaken between 2016 and 2017, seeking to understand the degree to which students are influenced to attend culinary school by food medias, social media, and the Food Network. The notion that food medias draw the majority of new cooks to the industry is often present in popular media discourses, although no data exists seeking to understand this relationship. This study reveals that food medias play a secondary or tertiary role in influencing students to register at culinary school, while also showing previously unknown patterns related to culinary students’ intention to persist with culinary careers. Nearly 40 percent of this sample do not intend to remain cooking professionally for greater than five years, and about 30 percent are “keeping other doors open” upon entry into culinary school. Although food celebrity certainly plays a role in awareness about culinary careers, intrinsic career aspirations are the most frequently reported motivation.

scholarly journals Multi-Level Relationships between Satellite-Derived Nighttime Lighting Signals and Social Media–Derived Human Population Dynamics

2018 ◽  
Vol 10 (7) ◽  
pp. 1128 ◽  
Author(s):  
Ting Ma
Keyword(s):  
Social Media ◽  
Population Dynamics ◽  
Big Data ◽  
Human Activities ◽  
Human Population ◽  
City Size ◽  
Human Settlements ◽  
Good Opportunity ◽  
Nighttime Light ◽  
Multi Level

Satellite-based measurements of the artificial nighttime light brightness (NTL) have been extensively used for studying urbanization and socioeconomic dynamics in a temporally consistent and spatially explicit manner. The increasing availability of geo-located big data detailing human population dynamics provides a good opportunity to explore the association between anthropogenic nocturnal luminosity and corresponding human activities, especially at fine time/space scales. In this study, we used Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB)–derived nighttime light images and the gridded number of location requests (NLR) from China’s largest social media platform to investigate the quantitative relationship between nighttime light radiances and human population dynamics across China at four levels: the provincial, city, county, and pixel levels. Our results show that the linear relationship between the NTL and NLR might vary with the observation level and magnitude. The dispersion between the two variables likely increases with the observation scale, especially at the pixel level. The effect of spatial autocorrelation and other socioeconomic factors on the relationship should be taken into account for nighttime light-based measurements of human activities. Furthermore, the bivariate relationship between the NTL and NLR was employed to generate a partition of human settlements based on the combined features of nighttime lights and human population dynamics. Cross-regional comparisons of the partitioned results indicate a diverse co-distribution of the NTL and NLR across various types of human settlements, which could be related to the city size/form and urbanization level. Our findings may provide new insights into the multi-level responses of nighttime light signals to human activity and the potential application of nighttime light data in association with geo-located big data for investigating the spatial patterns of human settlement.

XBRL Diffusion in Social Media: Discourses and Community Learning

2014 ◽  
Vol 29 (2) ◽  
pp. 71-106 ◽  
Author(s):  
Arif Perdana ◽  
Alastair Robb ◽  
Fiona Rohde
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Content Analysis ◽  
Community Learning ◽  
Business Reporting ◽  
It Diffusion ◽  
Sample Data ◽  
Research Questions ◽  
Media Discourses

ABSTRACT Multiple discourses are critical in determining the success of information technology (IT) diffusion. Since its inception, such discourses also appear in the eXtensible Business Reporting Language (XBRL) diffusion sphere. To help explain XBRL diffusion, we explore the discourses relative to XBRL in social media. A case study with text mining and content analysis was conducted to address three research questions covering community discourses, polarity of viewpoint, and learning surrounding XBRL in social media. Our sample data consisted of members' posts and comments in LinkedIn XBRL groups over the period 2010 to 2013. Our analysis finds that XBRL discourses in social media have largely revolved around the dissemination of XBRL information to raise awareness among potential adopters (i.e., theorization) and to properly implement XBRL (i.e., translation). Our findings indicate that XBRL's theorization is not in doubt, while XBRL's translation remains challenging. Professionals generally view XBRL positively. Those who view XBRL less favorably are more likely to be skeptical rather than dismissive. We also observe that social media like LinkedIn is a relevant channel for communities to learn about XBRL. We discuss the findings and include several insights and implications that may be useful in augmenting the future of XBRL.

A Comparative View of Censored and Uncensored Political Discussion

2017 ◽  
pp. 269-282
Author(s):  
Qihao Ji
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Future Research ◽  
Chinese Government ◽  
Political Discussion ◽  
Time Period ◽  
Social Media Platforms ◽  
Internet Censorship ◽  
Media Discourses ◽  
The Impact

Through a content analysis on Chinese online dissidents' social media discourses, this study examines the impact of Internet censorship on Chinese dissidents' political discourse in two social media platforms: Weibo and Twitter. Data was collected during a time period when China's Internet censorship was tightened. Results revealed that Chinese online dissidents are more likely to post critical opinions and direct criticism towards the Chinese government on Twitter. In addition, dissidents on Twitter are more likely to engage in discussing with others, while Weibo dissidents tend to adopt linguistic skills more often to bypass censorship. No difference was found in terms of dissidents' civility and rationality across the two platforms. Implications and future research are discussed in detail.

scholarly journals Online scrutiny of people with nice cars: A comparative analysis of Chinese, Russian, and Anglo-American outrage

2020 ◽  
Vol 5 (3) ◽  
pp. 247-260
Author(s):  
Qian Huang ◽  
Rashid Gabdulhakov ◽  
Daniel Trottier
Keyword(s):  
United States ◽  
Social Media ◽  
United Kingdom ◽  
Comparative Analysis ◽  
Contrasting Cases ◽  
Sina Weibo ◽  
Late Model ◽  
Anglo American ◽  
Media Discourses ◽  
Chinese Social Media

Connected by platforms and equipped with mobile recording devices, social media users are able to conduct near-constant mutual scrutiny. Such mediated scrutiny sometimes escalates to public denunciations online and even mediated or embodied interventions. A recurring theme of such scrutiny can be observed not only on Chinese social media but also on platforms in Russia and elsewhere, in which hostility is openly expressed towards people with nice cars (i.e. late model, luxury, foreign vehicles). In these cases, nice cars are not merely a fact provided by participants in their denunciations; they also serve as an implication of the privileges the owners might possess. By juxtaposing cases in China against other socio-political contexts, the research intends to achieve a better understanding of how and why nice cars are rendered meaningful by participants via mediated scrutiny on social media in China and beyond. The research collects and analyses relevant social media discourses on platforms including Sina Weibo (China), YouTube (Russia), and Facebook (United Kingdom; Australia; United States). Comparing and contrasting cases in different countries, the research demonstrates various forms of critical and populist sentiments that are shaped by unique socio-cultural and political contexts.

scholarly journals Whose Lives Matter? Mass Shootings and Social Media Discourses of Sympathy and Policy, 2012–2014

2019 ◽  
Vol 24 (4) ◽  
pp. 182-202 ◽  
Author(s):  
Yini Zhang ◽  
Dhavan Shah ◽  
Jordan Foley ◽  
Aman Abhishek ◽  
Josephine Lukito ◽  
...  
Keyword(s):  
Social Media ◽  
Mass Shootings ◽  
Media Discourses

scholarly journals Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents

2018 ◽  
Vol 23 (4) ◽  
pp. 601-613 ◽  
Author(s):  
Michelle O’Reilly ◽  
Nisha Dogra ◽  
Natasha Whiteman ◽  
Jason Hughes ◽  
Seyda Eruyar ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Anxiety Disorders ◽  
Focus Groups ◽  
Thematic Analysis ◽  
Mental Wellbeing ◽  
Future Research ◽  
Health And Wellbeing ◽  
Use Of Social Media ◽  
Media Discourses

Despite growing evidence of the effects of social media on the mental health of adolescents, there is still a dearth of empirical research into how adolescents themselves perceive social media, especially as knowledge resource, or how they draw upon the wider social and media discourses to express a viewpoint. Accordingly, this article contributes to this scarce literature. Six focus groups took place over 3 months with 54 adolescents aged 11–18 years, recruited from schools in Leicester and London (UK). Thematic analysis suggested that adolescents perceived social media as a threat to mental wellbeing and three themes were identified: (1) it was believed to cause mood and anxiety disorders for some adolescents, (2) it was viewed as a platform for cyberbullying and (3) the use of social media itself was often framed as a kind of ‘addiction’. Future research should focus on targeting and utilising social media for promoting mental wellbeing among adolescents and educating youth to manage the possible deleterious effects.

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