scholarly journals What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets

2019 ◽  
Vol 21 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Jeff Riddell ◽  
Alisha Brown ◽  
Lynne Robins ◽  
Rafae Nauman ◽  
Jeanette Yang ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Community Of Practice ◽  
Emergency Physicians ◽  
Shared Resources ◽  
Qualitative And Quantitative ◽  
Quantitative Analyses ◽  
Educational Delivery

Introduction: Twitter is growing in popularity and influence among emergency physicians (EP), with over 2200 self-identified EP users. As Twitter’s popularity has increased among EPs so too has its influence. While there has been debate about the value of Twitter as an effective educational delivery tool, little attention has been paid to the nature of the conversation occurring on Twitter. We aim to describe how influential EPs use Twitter by characterizing the language, purpose, frequencies, content, and degree of engagement of their tweets. Methods: We performed a mixed-methods analysis following a combined content analysis approach. We conducted qualitative and quantitative analyses of a sample of tweets from the 61 most influential EPs on Twitter. We present descriptive tweet characteristics and noteworthy themes. Results: We analyzed 1375 unique tweets from 57 unique users, representing 93% of the influential Twitter EPs. A majority of tweets (1104/1375, 80%) elicited some response in the form of retweets, likes, or replies, demonstrating community engagement. The qualitative analysis identified 15 distinct categories of tweets. Conclusion: Influential EPs on Twitter were engaged in largely medical conversations in which most messages generated some form of interaction. They shared resources and opinions while also building social rapport in a community of practice. This data can help EPs make informed decisions about social media engagement.

scholarly journals A framework for identifying and learning from countries that demonstrated exemplary performance in improving health outcomes and systems

2020 ◽  
Vol 5 (12) ◽  
pp. e002938
Author(s):  
Austin Carter ◽  
Nadia Akseer ◽  
Kevin Ho ◽  
Oliver Rothschild ◽  
Niranjan Bose ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Global Health ◽  
Health Outcomes ◽  
Mixed Methods Research ◽  
Multidisciplinary Teams ◽  
Ongoing Research ◽  
Qualitative And Quantitative ◽  
Success Stories ◽  
Quantitative Analyses ◽  
Comprehensive Framework

This paper introduces a framework for conducting and disseminating mixed methods research on positive outlier countries that successfully improved their health outcomes and systems. We provide guidance on identifying exemplar countries, assembling multidisciplinary teams, collecting and synthesising pre-existing evidence, undertaking qualitative and quantitative analyses, and preparing dissemination products for various target audiences. Through a range of ongoing research studies, we illustrate application of each step of the framework while highlighting key considerations and lessons learnt. We hope uptake of this comprehensive framework by diverse stakeholders will increase the availability and utilisation of rigorous and comparable insights from global health success stories.

scholarly journals Securitization of Islam and Muslims Through Social Media: A Content Analysis of Stopislam in Twitter

2020 ◽  
Vol V (IV) ◽  
pp. 186-203
Author(s):  
Raja Arslan Ahmad Khan ◽  
Mudassar Hussain Shah ◽  
Noor ul Bashar Ahmad
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Qualitative Analysis ◽  
Immigrants And Refugees ◽  
Sharia Law

The main objective of this paper is to examine the securitization of Islam and Muslims on Twitter. Therefore, whether and to what extent securitized images of Islam and Muslims have been produced on Twitter and to analyze the dominant securitized themes and their sub-dimensions. The methodology used for this purpose consisted of quantitative and qualitative analysis and analyzed hashtags #stopislam trending on Twitter. It was found that #stopislam produced securitized images of Islam and Muslims. Totalitarianism as a sub-dimension of ideological threat in the context of Securitization of Islam is dominating than Sharia Law and Jihadism while no evidence has been found in Whahabism Category. Similarly, in the existential threat category in the securitization of Muslims sub-dimension, general Muslims are dominating than Women's, immigrants and refugees on #stopislam. #stopislm produced less neutral and favoring Muslims Tweets evident that hashtag produced securitized images of Islam and Muslims.

scholarly journals An Exploratory Perception Analysis of Consensual and Nonconsensual Image Sharing

2019 ◽  
Vol 2 (2) ◽  
pp. 23-43
Author(s):  
Jin Ree Lee ◽  
Steven Downing
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Digital Images ◽  
Romantic Partners ◽  
Online Surveys ◽  
Image Sharing ◽  
Individual Perceptions ◽  
Perception Analysis

Limited research has considered individual perceptions of moral distinctions between consensual and nonconsensual intimate image sharing, as well as decision making parameters around why others might engage in such behavior. The current study conducted a perception analysis using mixed-methods online surveys administered to 63 participants, inquiring into their perceptions of why individuals engage in certain behaviors surrounding the sending of intimate images from friends and partners. The study found that respondents favored the concepts of (1) sharing images with romantic partners over peers; (2) sharing non-intimate images over intimate images; and (3) sharing images with consent rather than without it. Furthermore, participants were more willing to use their own devices to show both intimate and non-intimate images rather than posting on social media or directly sending others the image files. Drawing on descriptive quantitative and thematic qualitative analysis, the findings suggest that respondents perceive nonconsensual image sharing as being motivated by the desire to either bully, “show off,” or for revenge. In addition, sharing intimate digital images of peers and romantic partners without consent was perceived to be troubling because it is abusive and/or can lead to abuse (when involving peers) and a violation of trust (when involving romantic partners).

scholarly journals Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

10.2196/18700 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e18700 ◽  
Author(s):  
Jiawei Li ◽  
Qing Xu ◽  
Raphael Cuomo ◽  
Vidya Purushothaman ◽  
Tim Mackey
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Hubei Province ◽  
Wuhan City ◽  
Social Media Data ◽  
Public Reaction ◽  
Media Data ◽  
Chinese Social Media

Background The coronavirus disease (COVID-19) pandemic, which began in Wuhan, China in December 2019, is rapidly spreading worldwide with over 1.9 million cases as of mid-April 2020. Infoveillance approaches using social media can help characterize disease distribution and public knowledge, attitudes, and behaviors critical to the early stages of an outbreak. Objective The aim of this study is to conduct a quantitative and qualitative assessment of Chinese social media posts originating in Wuhan City on the Chinese microblogging platform Weibo during the early stages of the COVID-19 outbreak. Methods Chinese-language messages from Wuhan were collected for 39 days between December 23, 2019, and January 30, 2020, on Weibo. For quantitative analysis, the total daily cases of COVID-19 in Wuhan were obtained from the Chinese National Health Commission, and a linear regression model was used to determine if Weibo COVID-19 posts were predictive of the number of cases reported. Qualitative content analysis and an inductive manual coding approach were used to identify parent classifications of news and user-generated COVID-19 topics. Results A total of 115,299 Weibo posts were collected during the study time frame consisting of an average of 2956 posts per day (minimum 0, maximum 13,587). Quantitative analysis found a positive correlation between the number of Weibo posts and the number of reported cases from Wuhan, with approximately 10 more COVID-19 cases per 40 social media posts (P<.001). This effect size was also larger than what was observed for the rest of China excluding Hubei Province (where Wuhan is the capital city) and held when comparing the number of Weibo posts to the incidence proportion of cases in Hubei Province. Qualitative analysis of 11,893 posts during the first 21 days of the study period with COVID-19-related posts uncovered four parent classifications including Weibo discussions about the causative agent of the disease, changing epidemiological characteristics of the outbreak, public reaction to outbreak control and response measures, and other topics. Generally, these themes also exhibited public uncertainty and changing knowledge and attitudes about COVID-19, including posts exhibiting both protective and higher-risk behaviors. Conclusions The results of this study provide initial insight into the origins of the COVID-19 outbreak based on quantitative and qualitative analysis of Chinese social media data at the initial epicenter in Wuhan City. Future studies should continue to explore the utility of social media data to predict COVID-19 disease severity, measure public reaction and behavior, and evaluate effectiveness of outbreak communication.

scholarly journals Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

10.2196/19276 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e19276 ◽  
Author(s):  
Abdullah Wahbeh ◽  
Tareq Nasralah ◽  
Mohammad Al-Ramahi ◽  
Omar El-Gayar
Keyword(s):  
Health Care ◽  
Social Media ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Health Care Systems ◽  
Supervised Machine Learning ◽  
Machine Learning Techniques ◽  
Medical Professionals ◽  
Social Media Analytics ◽  
Care Systems

Background The coronavirus disease (COVID-19) pandemic is considered to be the most daunting public health challenge in decades. With no effective treatments and with time needed to develop a vaccine, alternative approaches are being used to control this pandemic. Objective The objective of this paper was to identify topics, opinions, and recommendations about the COVID-19 pandemic discussed by medical professionals on the Twitter social medial platform. Methods Using a mixed methods approach blending the capabilities of social media analytics and qualitative analysis, we analyzed COVID-19–related tweets posted by medical professionals and examined their content. We used qualitative analysis to explore the collected data to identify relevant tweets and uncover important concepts about the pandemic using qualitative coding. Unsupervised and supervised machine learning techniques and text analysis were used to identify topics and opinions. Results Data were collected from 119 medical professionals on Twitter about the coronavirus pandemic. A total of 10,096 English tweets were collected from the identified medical professionals between December 1, 2019 and April 1, 2020. We identified eight topics, namely actions and recommendations, fighting misinformation, information and knowledge, the health care system, symptoms and illness, immunity, testing, and infection and transmission. The tweets mainly focused on needed actions and recommendations (2827/10,096, 28%) to control the pandemic. Many tweets warned about misleading information (2019/10,096, 20%) that could lead to infection of more people with the virus. Other tweets discussed general knowledge and information (911/10,096, 9%) about the virus as well as concerns about the health care systems and workers (909/10,096, 9%). The remaining tweets discussed information about symptoms associated with COVID-19 (810/10,096, 8%), immunity (707/10,096, 7%), testing (605/10,096, 6%), and virus infection and transmission (503/10,096, 5%). Conclusions Our findings indicate that Twitter and social media platforms can help identify important and useful knowledge shared by medical professionals during a pandemic.

Character assassination as a right-wing populist communication tactic on social media: The case of Matteo Salvini in Italy

2021 ◽  
pp. 146144482110392
Author(s):  
Carlo Berti ◽  
Enzo Loner
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Qualitative Analysis ◽  
Communication Strategy ◽  
Right Wing ◽  
Media Communication ◽  
The People ◽  
Individual Traits ◽  
Social Media Communication

The article conceptualizes character assassination (CA) as a tactic of populist communication on social media by using the case study of Italian politician Matteo Salvini. CA consists of personal attacks aimed at damaging the reputation of individuals, used as political means to attack the “enemies of the people.” By means of CA, populists operate a shift from issues and arguments toward individual traits and behaviors. CA’s importance is linked to the features of social media communication (i.e. disintermediation, speed, virality, fragmentation, emotionality). The article uses content analysis of tweets, and qualitative analysis of relevant examples; it demonstrates the strategic nature of CA in Salvini’s communication and identifies five functions (i.e. polarizing, personalizing, symbolic, discriminating, emotional) of CA in right-wing populist communication. CA’s logic is unpacked, by showing how the delegitimization of individuals is used to reinforce a populist communication strategy. Potential implications and responses to CA are discussed.

Qualitative Phase Analysis Using an X-Ray Powder Diffractometer

1980 ◽  
Vol 24 ◽  
pp. 91-97
Author(s):  
W. N. Schreiner ◽  
C. Surdukowski ◽  
R. Jenkins
Keyword(s):  
Qualitative Analysis ◽  
Phase Analysis ◽  
Powder Diffraction ◽  
X Ray ◽  
Qualitative And Quantitative ◽  
The Past ◽  
Quantitative Analyses ◽  
Improved Performance ◽  
Qualitative Phase ◽  
Self Consistency

During the past three years we have undertaken the development of a complete X-Ray Powder Diffraction, facility with the goal of fully integrating experimental and analytical procedures. Such an approach potentially offers substantially improved performance over previously existing systems by virtue of its internal self-consistency and it opens the possibility of significantly extending analytic procedures for both qualitative and quantitative analyses. Our work to date has resulted in improved performance and significant extensions in both areas, and today I will report on those advances in the area of qualitative analysis.

scholarly journals Beyond Big Bird, Binders, and Bayonets: Humor and Visibility Among Connected Viewers of the 2012 US Presidential Debates

2018 ◽  
Vol 4 (1) ◽  
pp. 205630511876120 ◽  
Author(s):  
Kevin Driscoll ◽  
Alex Leavitt ◽  
Kristen L. Guth ◽  
François Bar ◽  
Aalok Mehta
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Mixed Methods ◽  
Positive Relationship ◽  
Presidential Debates ◽  
Mixed Methods Approach ◽  
Political Actors

During the 2012 US presidential debates, more than five million connected viewers turned to social media to respond to the broadcast and talk politics with one another. Using a mixed-methods approach, this study examines the prevalence of humor and its relationship to visibility among connected viewers live-tweeting the debates. Based on a content analysis of tweets and accounts, we estimate that approximately one-fifth of the messages sent during the debates consisted of strictly humorous content. Using retweet frequency as a proxy for visibility, we found a positive relationship between the use of humor and the visibility of individual tweets. Not only was humor widespread in the discourse of connected viewers, but humorous messages enjoyed greater overall visibility. These findings suggest a strategic use of humor by political actors seeking greater shares of attention on social media.

scholarly journals YouTube as an Airlines Marketing Tool

2018 ◽  
Vol 7 (1) ◽  
pp. 45-69
Author(s):  
Martina Pásková ◽  
Jan Hruška ◽  
Josef Zelenka
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Social Media Analytics ◽  
Research Results ◽  
Qualitative And Quantitative ◽  
Quantitative Analyses ◽  
The Difference ◽  
Marketing Tool ◽  
Changes Over Time ◽  
The Way

Abstract Multimedia communication through social media has been experiencing constantly growing significance in the field of airline marketing. The aim of the research presented in this paper was to find out and, with the help of both qualitative and quantitative analyses, describe the way YouTube is used by airlines. The research was conducted in the form of a comparative study with the objective of identifying the difference between YouTube performance of full-service carriers (FSCs) and low-cost carriers (LCCs). The intention was to identify which factors influence the effectiveness of airline marketing conducted via YouTube an as well as the way in which they do it. Analysis of selected data was facilitated by social media analytics tool SocialBakers, content analyses and a correlation analysis of YouTube metrics, selected on the base of previous research results. The research data were collected twice during the year 2017 in order to reflect changes over time. Research results showed that FSCs build their YouTube channels more systematically than LCCs. FSCs offer a substantially wider range of video topics and often sort out topics of their videos in a more detailed way. Regarding the basic metrics of YouTube channels (total number of views, number of subscribers), FSCs surpass LCCs significantly. One reason for their much higher rate of views is the fact that FSCs use celebrities more frequently, and frequently they offer high-quality impression/relationship airline presentation.

Exploring #nofilter Images When a Filter Has Been Used

2017 ◽  
Vol 9 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Sara Santarossa ◽  
Paige Coyne ◽  
Sarah J Woodruff
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Mixed Methods ◽  
Text Analysis ◽  
Descriptive Analysis ◽  
Content Category ◽  
Mixed Methods Approach ◽  
Coding Scheme ◽  
Photo Editing ◽  
To Receive

Many social media users rely on photo editing techniques in order to receive more positive attention (i.e., likes/comments) online. This study used a mixed methods approach to conduct a descriptive analysis of #nofilter use by Instagram users. By using #nofilter users are making a point that they did not edit/manipulate their images. Of particular interest were those who used #nofilter but did filter their images. A text analysis of 18,366 images was conducted using Netlytic, reveling the largest content category as ‘appearance'. A content analysis was used to examine authors of #nofilter images whom did use a filter, and photo-coding scheme for this group of images was implemented. Of 18,366 images collected that used #nofilter, 12% (N=1630) did in fact use a filter. Listwise deletions were conducted and 1344 images remained. Results suggest the majority of accounts were personal, and belonged to females and of the images, majority had people in them. People using #nofilter do in fact filter their images and research into the reasons for deceit on social media is needed.

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