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.

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.

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 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.

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 How journalists verify user-generated content during terrorist crises. Analyzing Twitter communication during the Brussels attacks

2017 ◽  
Vol 3 (3) ◽  
pp. 205630511771788 ◽  
Author(s):  
Adrian Rauchfleisch ◽  
Xenia Artho ◽  
Julia Metag ◽  
Senja Post ◽  
Mike S. Schäfer
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
User Generated Content ◽  
Quantitative Content Analysis ◽  
Ethical Implications ◽  
Quantitative Content ◽  
News Organizations

Social media, and Twitter in particular, have become important sources for journalists in times of crises. User-generated content (UGC) can provide journalists with on-site information and material they otherwise would not have access to. But how they source and verify UGC has not yet been systematically analyzed. This study analyzes sourcing and verification practices on Twitter during the Brussels attacks in March 2016. Based on quantitative content analysis, we identified (1) the journalists and news organizations sourcing during the attacks, (2) classified different forms of sourcing and verification requests, and (3) analyzed the sourced UGC. Results show that sourcing on Twitter has become a global phenomenon. During the first hours of the attack, journalists rely on UGC. Their sourcing and verification practices vary widely and often lack basic verification procedures, which leads to a discussion about the ethical implications of sourcing practices.

scholarly journals Making the most of Twitter: How technological affordances influence Swedish journalists’ self-branding

Journalism ◽  
2017 ◽  
Vol 21 (5) ◽  
pp. 670-687 ◽  
Author(s):  
Ulrika Hedman
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Quantitative Content Analysis ◽  
Frequent Users ◽  
Quantitative Content ◽  
Account Information ◽  
Media Logic ◽  
Personal Branding ◽  
Technological Affordances

Journalists are among the most frequent users of Twitter, and Twitter has become an important platform for personal branding. Social media logic promotes not only a chase for virality and impressive metrics but also a mix of professional, personal, and private content, as well as sharing, interaction, and dialogue. Focusing one aspect of social media logic, the aim of this study is to analyze how the technological affordances of Twitter shape journalists’ self-branding in their account presentations and whether there are differences between groups of journalists. The study draws on a quantitative content analysis of Swedish journalists’ Twitter presentations and account information (N = 2543). The findings suggest that Swedish journalists on Twitter brand themselves as being more audience oriented, networking, and individualistic, projecting a mixed identity including both professional and personal features, and that social media logic influence journalists’ self-branding.

Fear and Derision: A Quantitative Content Analysis of Provaccine and Antivaccine Internet Memes

2019 ◽  
Vol 46 (6) ◽  
pp. 1012-1023
Author(s):  
Amanda M. Harvey ◽  
Sharlynn Thompson ◽  
Andrew Lac ◽  
Frederick L. Coolidge
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Structural Equation ◽  
Fear Appeals ◽  
Equation Modeling ◽  
Quantitative Content Analysis ◽  
Conspiracy Theories ◽  
Vaccine Preventable Diseases ◽  
Quantitative Content ◽  
Vaccine Information

The purpose of the study was to examine the characteristics of Internet memes created and disseminated by proponents and opponents of vaccinations. A quantitative content analysis was performed on 234 pro- and antivaccine memes culled from the vaccination fan pages with the greatest number of followers on Facebook. Coding variables included whether the meme was pro- or antivaccine, percentage of factually incorrect claims, mention of the out-group, persuasive appeals (emotion, fear, and rationality), degree of sarcasm, and number of reactions and shares. The most prevalent themes concerned vaccine-preventable diseases, vaccine injury/safety/autism, and conspiracy theories. Independent t tests indicated that provaccination memes were more likely to use sarcasm whereas antivaccination memes were more likely to contain emotion and fear appeals and inaccurate claims. The percentage veracity of the claims in each meme was fact-checked using authoritative scientific sources. A path analysis applying structural equation modeling revealed that memes containing characteristics that were antivaccine (vs. provaccine), appealed to emotion, and appealed to rationality significantly contributed to greater likelihood of social media reactions and shares. Additional analysis determined that both pro- and antivaccination memes tended to contain more gist than verbatim information, and both groups did not significantly differ on this gist-to-verbatim variable. Findings offer insights to understand the persuasion tactics that provaccine and antivaccine groups apply in memes to persuade others via social media. Understanding these techniques will enable the development of health communication strategies to combat false and damaging vaccine information disseminated on the Internet.

No Interaction on Instagram

2020 ◽  
pp. 33-51
Author(s):  
Uta Russmann ◽  
Jakob Svensson
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Political Parties ◽  
Political Communication ◽  
National Election ◽  
Election Campaign ◽  
Quantitative Content Analysis ◽  
Interaction Processes ◽  
Quantitative Content ◽  
Social Media Platforms

This chapter addresses a neglected issue within the field of social media and political communication. It focuses on interaction processes on Instagram asking how political parties used Instagram—a platform that is centered around images—when engaging in interaction with their followers on the platform. The focus is on political parties' use of Instagram in the 2014 Swedish national election campaign. This gives an impression of the first attempts of political parties' use of this communication platform. The quantitative content analysis focuses on Instagram images including their captions and comments (posts) that Swedish parties published four weeks prior to Election Day. The results suggest that not much changes on Instagram compared to other social media platforms: Swedish political parties hardly used Instagram to interact with their followers, and the very few interactions taking place did not contribute to the exchange of relevant and substantive information about politics. Interaction and deliberation are also not enhanced by the images.

Welcome or Not: Comparing #Refugee Posts on Instagram and Pinterest

2018 ◽  
Vol 62 (4) ◽  
pp. 512-531 ◽  
Author(s):  
Jeanine P. D. Guidry ◽  
Lucinda L. Austin ◽  
Kellie E. Carlyle ◽  
Karen Freberg ◽  
Michael Cacciatore ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Random Sample ◽  
Refugee Crisis ◽  
Quantitative Content Analysis ◽  
Internally Displaced ◽  
Quantitative Content ◽  
Social Media Platforms ◽  
Syrian Refugee Crisis ◽  
Security Concern

The Syrian refugee crisis, started in 2011, has resulted in millions of Syrians fleeing their homes: 6.6 million have been internally displaced and more than 4.6 million have fled the country. This flow of refugees has led to both humanitarian efforts to assist refugees and growing views of refugees as a threat to receiving countries’ security and autonomy. Sentiments about the still-growing crisis are increasingly expressed on social media platforms, including visual ones like Instagram and Pinterest. However, little is known about what and how information about refugees is presented on these platforms. The current study addresses this gap by conducting a quantitative content analysis of a random sample of 750 Instagram posts and 750 Pinterest posts to evaluate and compare visual and textual messaging surrounding this crisis. Results show that Pinterest messages more frequently depict security-concern sentiment and include more unique visual components than Instagram. Across platforms, security-concern posts were more likely to be framed thematically; whereas most humanitarian-concern posts were framed episodically. The study concludes with a discussion of implications for communication scholars and practitioners that may inform the development of visual-based social-mediated messaging.

scholarly journals #LibraryLife: A quantitative analysis of social media usage, content, and engagement at the Vancouver Public Library

2021 ◽  
Author(s):  
Sam Vander Kooy
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Quantitative Analysis ◽  
Public Library ◽  
Quantitative Content Analysis ◽  
Social Media Platform ◽  
Media Usage ◽  
Quantitative Content ◽  
Social Media Platforms ◽  
Media Platform

This paper explores the contents of the Vancouver Public Library’s Facebook, Instagram, Twitter, and YouTube feeds between September 1st and November 30th, 2020 to better understand how each social media platform is being used to communicate with stakeholders. This quantitative content analysis of each platform’s usage, content, and engagement highlights some important trends libraries should be aware of concerning both the use of multiple social media platforms and the evaluation of their current social media strategies.

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