scholarly journals Objectification of Women through Public Discourse: Analysis of Pakistani Female Celebrities' Viral Pictures on Facebook

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Ayesha Qamar ◽  
Aasima Safdar ◽  
Samia Manzoor
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Discourse Analysis ◽  
Public Discourse ◽  
Total Sample ◽  
The Other ◽  
Quantitative Content Analysis ◽  
Quantitative Content ◽  
Males And Females ◽  
Objectification Of Women

The present paper focused on the objectification of Pakistani female celebrities on social media especially Facebook. The comments under the viral pictures of Mahira Khan, Mariyam Nawaz and Malala Yousafzai were analyzed by adopting the objectification framework of Nussbaum and Langton. Fifty comments about each female celebrity appearing under their viral pictures were analyzed by using the technique of quantitative content analysis. Total sample consisted of 150 comments from Facebook users of both the genders, i.e. males and females. It was observed that there was an abundance of remarks under the pictures of these celebrities where objectification was at work in some way or the other. Reduction to appearance remained the most frequently occurring variable of objectification. It was also observed that though these comments were coming from people of both the genders but male users of Facebook appeared more hostile in this regard. It is suggested on the basis of the results obtained through the current research that FIA needs to formulate a more strict policy regarding online trolling and shaming.

Oh Snap: Chat Style in the 2016 US Presidential Primaries

2017 ◽  
Vol 13 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Eisa Al Nashmi ◽  
David Lynn Painter
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
The Other ◽  
Visual Content ◽  
Quantitative Content Analysis ◽  
Self Presentation ◽  
Presidential Primary ◽  
Quantitative Content ◽  
Exploratory Investigation ◽  
Production Techniques

Based on Goffman’s theories of self-presentation and framing, this exploratory investigation adapted Videostyle and Webstyle protocols to analyse the 2016 US presidential primary candidates’ Snapchat posts. This quantitative content analysis ( N = 871) coded for the visual content, production techniques, nonverbal content and frames used by the five candidates who used Snapchat as a strategic tool to engage voters throughout the course of the 2016 US primary campaign. The results indicate Clinton (D) deviated from the other candidates in the visual and nonverbal content as well as the frames used in her snaps. The implications of these findings on gendered self-presentation theory as well as inferences about the campaigns’ strategic social media motivations and effectiveness are also explored.

scholarly journals Examining the news media reaction to a national sugary beverage tax in South Africa: a quantitative content analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Michael Essman ◽  
Fernanda Mediano Stoltze ◽  
Francesca Dillman Carpentier ◽  
Elizabeth C. Swart ◽  
Lindsey Smith Taillie
Keyword(s):  
South Africa ◽  
Content Analysis ◽  
News Media ◽  
Public Awareness ◽  
Total Sample ◽  
Economic Effects ◽  
Quantitative Content Analysis ◽  
Sugar Sweetened Beverage ◽  
Sugar Intake ◽  
Quantitative Content

Abstract Background South Africa was the first sub-Saharan African country to implement a sugar-sweetened beverage (SSB) tax called the Health Promotion Levy (HPL) in April 2018. Given news media can increase public awareness and sway opinions, this study analyzed how the media represented the HPL, including expressions of support or challenge, topics associated with the levy, and stakeholder views of the HPL. Methods We performed a quantitative content analysis of online South African news articles related to the HPL published between January 1, 2017 and June 30, 2019. We coded the presence or absence of mentions related to health and economic effects of the HPL and HPL support or opposition. Prevalence of these mentions, overall and by source (industry, government, academics, other), were analyzed with Pearson χ2 and post-hoc Fisher exact tests. Results Across all articles, 81% mentioned health, and 65% mentioned economics topics. 54% of articles expressed support, 26% opposition, and 20% a balanced view of the HPL. All sources except industry expressed majority support for the HPL. Health reasons were the most common justifications for support, and economic harms were the most common justifications for opposition. Statements that sugar intake is not related to obesity, the HPL will not reduce SSB intake, and the HPL will cause industry or economic harm were all disproportionately high in industry sources (92, 80, and 81% vs 25% prevalence in total sample) (p < 0.001). Statements that sugar intake is related to obesity and non-communicable diseases were disproportionately high in both government (46 and 54% vs 31% prevalence in total sample) (p < 0.001) and academics (33 and 38% vs 25% prevalence in total sample) (p < 0.05). Statements that the HPL will improve health and the HPL will reduce health care costs were disproportionately high in government (47% vs 31% prevalence in total sample) (p < 0.001) and academics (44% vs 25% prevalence in total sample) (p < 0.05), respectively. Conclusions Industry expressed no support for the HPL, whereas academics, government, and other sources mainly expressed support. Future studies would be improved by linking news media exposure to SSB intake data to better understand the effects news media may have on individual behavior change.

scholarly journals Médias d’actualité, journalistes et publics sur Twitter : vers un renouvellement des relations ? Résumé de la thèse de doctorat

1970 ◽  
Vol 20 (2) ◽  
Author(s):  
Florence Van Hove
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Social Interactions ◽  
Digital Transformation ◽  
Quantitative Content Analysis ◽  
Quantitative Content

This thesis focuses on the question of the renewal of relations between media actors and audiences in the context of the digital transformation of journalism and the advent of social media. It is based on a qualitative and a quantitative content analysis of tweets related to twelve francophone news threads in 2011 and 2016. The results mainly show a gap between uniform and unidirectional uses of Twitter by media actors and the diversified, personal and interactive uses of news on Twitter by audiences. Findings suggest the persistence of long-standing trends in the relations between media actors and audiences – which remain asymmetrical (and tend to become stronger in this sense) despite the possibilities of social interactions offered by the microblogging tool Twitter – and a “resistance” by media actors, especially journalists, to change institutionalized journalistic practices.

scholarly journals Examining the News Media Reaction to a National Sugary Beverage Tax in South Africa: A Quantitative Content Analysis.

2020 ◽  
Author(s):  
Michael Essman ◽  
Fernanda Mediano Stoltze ◽  
Francesca Dillman Carpentier ◽  
Elizabeth C Swart ◽  
Lindsey Smith Taillie
Keyword(s):  
South Africa ◽  
Content Analysis ◽  
News Media ◽  
Public Awareness ◽  
Total Sample ◽  
Economic Effects ◽  
Quantitative Content Analysis ◽  
Sugar Sweetened Beverage ◽  
Sugar Intake ◽  
Quantitative Content

Abstract Background: South Africa was the first sub-Saharan African country to implement a sugar-sweetened beverage (SSB) tax called the Health Promotion Levy (HPL) in April 2018. Given news media can increase public awareness and sway opinions, this study analyzed how the media represented the HPL, including expressions of support or challenge, topics associated with the levy, and stakeholder views of the HPL.Methods: We performed a quantitative content analysis of online South African news articles related to the HPL published between January 1, 2017 and June 30, 2019. We coded the presence or absence of mentions related to health and economic effects of the HPL and HPL support or opposition. Prevalence of these mentions, overall and by source (industry, government, academics, other), were analyzed with Pearson χ2 and post-hoc Fisher exact tests. Results: Across all articles, 81% mentioned health, and 65% mentioned economics topics. 54% of articles expressed support, 26% opposition, and 20% a balanced view of the HPL. All sources except industry expressed majority support for the HPL. Health reasons were the most common justifications for support, and economic harms were the most common justifications for opposition. Statements that sugar intake is not related to obesity, the HPL will not reduce SSB intake, and the HPL will cause industry or economic harm were all disproportionately high in industry sources (92%, 80%, and 81% vs 25% prevalence in total sample) (p<0.001). Statements that sugar intake is related to obesity and non-communicable diseases were disproportionately high in both government (46% and 54% vs 31% prevalence in total sample) (p<0.001) and academics (33% and 38% vs 25% prevalence in total sample) (p<0.05). Statements that the HPL will improve health and the HPL will reduce health care costs were disproportionately high in government (47% vs 31% prevalence in total sample) (p<0.001) and academics (44% vs 25% prevalence in total sample) (p<0.05), respectively. Conclusions: Industry expressed no support for the HPL, whereas academics, government, and other sources mainly expressed support. Future studies would be improved by linking news media exposure to SSB intake data to better understand the effects news media may have on individual behavior change.

Boys versus Girls: Gendered Presentations of Newborns via Instagram Photograph Uploads.

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Jason Brian Garcia
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Gender Stereotypes ◽  
Primary Source ◽  
Newborn Baby ◽  
Quantitative Content Analysis ◽  
Male And Female ◽  
Quantitative Content ◽  
Significant Difference

The present study examined the prevalence of gender stereotypes displayed in photograph uploads of newborns in the mobile social media application, Instagram. A quantitative content analysis was performed on a sample of 120 of the most recent photograph uploads with the hashtag streams “#newbornbabyboy” and “#newbornbabygirl”. 60 of these images consisting of each newborn females and males, collected between the 26th and 27th of March, 2014. Results showed that newborn baby boys were only portrayed in a gender-stereotypical manner where the most predominant clothing colour worn was blue. For girls, the results also revealed a gender-stereotypical pattern as pink was the most displayed clothing colour. There was no significant difference found between male and female newborns in how often they were accessorized. The primary source of the photograph uploads were most often the babies’ mothers.

scholarly journals Blurred (Identity) Lines: A Content Analysis of the #deleteuber Crisis on Twitter

2018 ◽  
Vol 1 (2) ◽  
pp. 253-278
Author(s):  
Katharine Miller ◽  
Megan Kendall
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Social Change ◽  
Organizational Identity ◽  
Media Framing ◽  
Political Movements ◽  
Quantitative Content Analysis ◽  
Quantitative Content ◽  
Online Spaces

Social media have established a growing prevalence and influence in social change, in political movements, and as vehicles for messages related to crisis. The movement #deleteuber demonstrated this growing trend. Using quantitative content analysis, 2,000 tweets posted on Twitter were analyzed in the 2 weeks following the incident to measure how media framing may impact organizational identity. Findings reveal that users on Twitter largely framed the crisis as political, opinionated, and episodic in nature. Additionally, users most commonly associated the crisis with the organization as a collective rather than with the CEO as an individual responsible for actions prompting the crisis, thus blurring the demarcation between personal and organizational identity in online spaces.

scholarly journals Value-Based Communication during Covid-19 Pandemic: A Study on the Twitter Messages of Turkish Ministry of Health

2020 ◽  
Vol 7 (1) ◽  
pp. 23-44
Author(s):  
SEDA MENGU ◽  
MURAT MENGU ◽  
KEMAL GUNAY
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Public Discourse ◽  
The Other ◽  
Language Games ◽  
Ministry Of Health ◽  
The Public ◽  
Descriptive Research ◽  
Life Styles ◽  
Psychological Sense

Influencing the whole world by obliging people to change their daily practices along with their relations and assume different life styles, Covid-19 has brought about some likely deleterious effects in Turkey as well. Undoubtedly, it has caused disturbance and even panic in social and psychological sense. In such cases of uncertainty and panic, communication with the public should be clear, explicit, alleviating and to some extent, guiding. People can be guided and convinced more easily if the level of distress and uncertainty decreases. Such a way of governing and compelling communication consists of different directions, requirements and combined effort. If co-operation is appropriately based on values, this process will be much easier. To that end, public discourse during the outbreak of the pandemic in 2019 was as successful as it was based on the daily life and language of society. Noteworthy, there are similarities between value-based collaboration and governmentality. Policies, customs, patterns and guidelines help maintain control and guidance over collaboration. At this point cooperation acts as a matter of participating in language games that build social and organisational realities that are created, debated, distributed and changed by means of mutual action and cooperation. The purpose of this study is to analyse the messages sent by the Ministry of Health during the pandemic in Turkey via social media, particularly Twitter, in order to find out to which extent these messages encompass the features of value-based communication. Thus, discourse analysis and descriptive research model are going to be implemented together. More specifically, the first tweet in which Corona was first referred was sent on January 25, 2020 and from then on 505 Tweets were posted. For the discourse analysis, 100 tweets that have received the most interaction are going to be used. As for the other descriptive analyses; on the other hand, all 505 tweets are going to be utilized in cluster analysis. Keywords: value-based communication, discourse, social media, pandemic

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