scholarly journals A comprehensive analysis of #Enuresis conversation on Twitter

2020 ◽  
Vol 14 (7) ◽  
Author(s):  
Justin Yu ◽  
Adithya Balasubramanian ◽  
Jonathan A. Gerber ◽  
Abhishek Seth
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Standard Deviation ◽  
Qualitative Analysis ◽  
Geographic Location ◽  
Comprehensive Analysis ◽  
Average Standard Deviation ◽  
Twitter Analytics ◽  
Twitter Activity ◽  
The U.S

Introduction: We sought to perform a quantitative and qualitative analysis of online Twitter discussion of enuresis using the hashtag #Enuresis. Methods: Symplur, a fee-based Twitter analytics service, was employed to aggregate and analyze Twitter activity, users, and content for #Enuresis, the official Twitter hashtag for enuresis, between June 2016 and November 2018. Twitter activity was analyzed using average tweets and new users per month. Users were classified based on geographic location, occupation, and organizational affiliation. Content analysis was performed by retrieving information about Twitter engagement metrics, including retweets, links, media, mentions, replies, and frequently used words and hashtags. Results: A total of 3133 tweets and 1555 users utilizing #Enuresis were identified between June 28, 2016 and November 28, 2018. The average ± standard deviation [SD] number of tweets using #Enuresis per month were not significantly different from 2016 through 2018 (p=0.292). The number of users increased from six to 1555 during the study period, but there was no statistically significant increase in number of new users per month (p=0.346). Physicians comprised 14% of the top 100 influencers followed by medical device organizations (13%). Popular hashtags in #Enuresis tweets were #Bedwetting, #PisEnLaCama, #schoolnurses, #helpingkids, #ninos, and #salud. Hyperlinks used in #Enuresis tweets included advocacy, academic, commercial, and other social media websites. Conclusions: Our analysis of #Enuresis demonstrates that the online Twitter discussion regarding enuresis is growing. These results indicate that enuresis has a global appeal and has especially gained traction in European countries, as well as in the U.S.

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 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 Infodemia and COVID-19: a text mining analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
W De Caro
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Text Mining ◽  
Real Time ◽  
Public Perception ◽  
Health Authorities ◽  
Health Agencies ◽  
Use Of Social Media ◽  
Twitter Activity

Abstract Introduction Covid-19 epidemic lead a huge use of social media to comment and spread information from the widest sources. Infodemia looks at excessive amount of information circulating, which makes it difficult to orientate communities on a given topic due to the difficulty of identifying reliable sources. Using text mining analysis it is possible to identify what drives public conversation and impact of Covid-19. Methods Public perceptions in emergencies is traditionally measured with surveys. However, to have a global sight of the pandemia, Twitter represents a powerful tool which gives real-time monitoring of public perception. The study aimed to: 1) monitor the use of the terms “Covid-19” or “Coronarivus” over time; and 2) to conduct a specific text and sentiment analysis. Results Between January 10 and May 8, 2020, over 600 million tweets were retrieved. Of those 600.000 tweets were randomly selected, coded, and analyzed. About 10% of cases were identified as misinformation. Public figures, experts in public health, and virologists represent the most popular sources in comparison to the official government and health agencies. There is a positive correlation between Twitter activity peaks and COVID-19 infection peaks. Text mining analysis was carried out, as well as a content analysis, also in order to identify changing emotions and sentiments during time. This analysis, particularly during the lockdown, clearly shows that participation on social media can potentially have an effect on building social capital and social support. Conclusions This study confirms that using social media to conduct infodemic studies is an important area of development in public health arena. COVID-19 tweets were primarily used to disseminate information from credible sources, but were also a source of opinions, emotion and experiences. Tweets can be used for real-time content analysis and knowledge translation research, allowing health authorities to respond to public concerns. Key messages Social media is crucial for health information. Infodemia as new way for study health.

scholarly journals How Do Sports Organizations Use Social Media to Build Relationships? A Content Analysis of NBA Clubs’ Twitter Use

2015 ◽  
Vol 8 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Yuan Wang ◽  
Shuhua Zhou
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
National Basketball Association ◽  
Professional Relationships ◽  
Building Relationships ◽  
The Public ◽  
Sports Organizations ◽  
Significant Relationships ◽  
The U.S ◽  
Community Relationships

Social media have been increasingly used by sports organizations to communicate with the public. This study explored the Twitter-using practices of National Basketball Association (NBA) clubs (N = 30) in the U.S. in building relationships with their fans during the 2013–14 season. Specifically, it focused on how these clubs used Twitter to build professional, personal, and community relationships through a content analysis of 5,561 tweets on their official Twitter sites. The results suggested that NBA clubs tended to use social media to develop professional relationships with their publics via sharing information and promoting products. There were significant relationships between relationship dimensions and the number of retweets and favorites from Twitter followers. Sports organizations should use social media effectively to strengthen the professional, personal, and community relationships with their publics.

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 VITA Experiential, Service-Learning, Learned Competencies, And Changed Mindsets

2014 ◽  
Vol 11 (2) ◽  
pp. 71-84 ◽  
Author(s):  
Robin Boneck ◽  
Jeffrey N. Barnes ◽  
Tyler F. Stillman
Keyword(s):  
Content Analysis ◽  
Service Learning ◽  
Qualitative Analysis ◽  
Income Tax ◽  
Quantitative Assessment ◽  
Internal Revenue Service ◽  
Learning Activity ◽  
Lower Income ◽  
Student Volunteers ◽  
The U.S

The authors describe how Southern Utah University has integrated the U.S. Internal Revenue Service (IRS) Voluntary Income Tax Assistance (VITA) program as an experiential service-learning activity for over a decade and a half. First, we describe the value of experiential service-learning. Second, we detail the program, its oversight, its student volunteers, and its purposes. Third, we provide a quantitative assessment of professional competencies based on a sample of 29 recent VITA student volunteers. Fourth, we describe a qualitative analysis of VITA student volunteers perceptions of their participation using content analysis of written essays. And last, we provide a qualitative analysis of 71 tax-clients perceptions of their participation in the program, again using content analysis. Based on our experiences and these results, we conclude that the VITA program is demonstrably beneficial for the institutions social responsibility for benefitting both the student volunteers professional development and communitys lower-income tax filers.

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.

scholarly journals Attitudes Toward Seeking Treatment among Patients with Psoriasis: Protocol for a Twitter Content Analysis (Preprint)

2019 ◽  
Author(s):  
Katja Reuter ◽  
Delphine Lee
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Patient Perspective ◽  
Data Extraction ◽  
Translational Science ◽  
Psoriasis Treatment ◽  
Data Source ◽  
Media Research ◽  
Social Media Research ◽  
The U.S

BACKGROUND Background: Psoriasis is an autoimmune disease that is estimated to affect more than 6 million adults in the U.S. It poses a significant public health problem and contributes to rising health care costs, affecting people’s quality of life and ability to work. Previous research showed that nontreatment and undertreatment of patients with psoriasis remain a significant problem. Perspectives of patients toward seeking psoriasis treatment are understudied. Social media offers a new data source of user-generated content. Researchers suggested that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues. OBJECTIVE Objective: The objective of this study is to conduct a content analysis of Twitter posts (in English) published by users in the U.S. between 02/01/2016 to 10/31/2018 to examine perspectives that potentially influence the treatment decision among patients with psoriasis. METHODS Methods: User-generated Twitter posts that include keywords related to lupus will be analyzed using text classifiers to identify themes related to reproductive health and fertility. We will use Symplur Signals, a healthcare social media analytics platform, to access the Twitter data. We will use descriptive statistics to analyze the data and identify the most prevalent topics in the Twitter content among psoriasis patients. RESULTS Results: This study is supported by the National Center for Advancing Translational Science (NCATS) through a Clinical and Translational Science Award (CTSA) award. Study approval was obtained from the Institutional Review Board (IRB) at USC. Data extraction and cleaning are complete. For the time period from 02/01/2016 to 10/31/2018, we obtained 95,040 Twitter posts containing terms related to “psoriasis” from users in the U.S. published in English. After removing duplicates, retweets, and non-English tweets, we found that 75.51% (52301/69264) of the psoriasis-related posts were sent by commercial or bot-like accounts, while 16,963 posts were non-commercial and will be included in the analysis to assess the patient perspective. We intend to complete the analysis by Summer 2020. CONCLUSIONS Conclusions: This protocol paper provides a detailed description of a social media research project including the process of data extraction, cleaning, and analysis. It is our goal to contribute to the development of more transparent social media research efforts. Our findings will shed light on whether Twitter provides a promising data source for garnering patient perspective data about psoriasis treatment decisions. The data will also help to determine whether Twitter might serve as a potential outreach platform for raising awareness of psoriasis and treatment options among patients and for implementing related health interventions. CLINICALTRIAL Not applicable

scholarly journals Compliance With FDA Nicotine Warning Statement Provisions in E-liquid Promotion Posts on Instagram

2020 ◽  
Vol 22 (10) ◽  
pp. 1823-1830
Author(s):  
Linnea I Laestadius ◽  
Megan M Wahl ◽  
Julia Vassey ◽  
Young Ik Cho
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Marketing Strategies ◽  
Media Environment ◽  
The Social ◽  
Before And After ◽  
Social Media Platforms ◽  
Promotional Strategies ◽  
The Impact ◽  
The U.S

Abstract Introduction Effective August 2018, the U.S. Food and Drug Administration (FDA) required that nicotine addiction warnings be placed on ads for nicotine containing e-liquids. As per FDA comments, this provision pertains to visual ads communicated via social media, raising questions about compliance within the large e-liquid promotion community on Instagram. Aims and Methods This study examines use of warnings on promotional Instagram posts before and after provisions took effect on August 10, 2018. Netlytic was used to gather a sample of 500 promotional #eliquid and #ejuice posts from: May 2017, October 2017, March 2018, August 2018, and September 2018. The 1500 prewarning and 1000 postwarning posts were coded using content analysis. Changes in products and marketing strategies were also considered. Post volume was tracked monthly between May 2017 and February 2020. Results In the prewarning period, nicotine warning statements were absent on all posts. Following August 10, 2018, FDA compliant warnings were present on 13.6% of posts. Among US-based posts, 36.4% used the warnings, with warnings more common on posts made by e-liquid brands (52.3%) and posts promoting e-liquids with nicotine (40.0%). Promotional strategies and products did not significantly change. The share of posts made by US Instagram users decreased by 11%, although total post volume continued to grow. Conclusions Many e-liquid promotion posts on Instagram remained noncompliant with nicotine warnings after FDA provisions took effect. The large volume of international users also limited the impact of FDA-mandated warnings on the social media environment. Implications Further guidance and enforcement are needed to ensure that US e-liquid marketers on visual social media platforms adhere to current provisions, particularly for individual social media users who are sponsored by industry. The inherently global span of social media also indicates the importance of a shared approach to marketing regulations. Further work is needed to assess enforcement strategies viable for the social media environment.

scholarly journals How People Express Grief by Sharing Photographs on Social Networks: A Comparative Study between Italy and the United States of America

2021 ◽  
Author(s):  
Illene Cupit ◽  
Paolo Sapelli ◽  
Ines Testoni
Keyword(s):  
United States ◽  
Social Networks ◽  
Social Media ◽  
Content Analysis ◽  
United States Of America ◽  
The United States ◽  
Continuing Bonds ◽  
Key Issues ◽  
To Receive ◽  
The U.S

Abstract: As innovative way to express grief, social media posts about the deceased have become fairly common. However, few studies examined grief photos commonly posted. The purpose of the present study was to examine such pictures, as well as the motivation and reactions of those who posted, among Italians and Americans. Surveys were sent to both Italian and U.S. participants. The U.S. group yielded 262 responses (Mean age = 22 years; 81% female), the Italian yielded 51 (Mean age = 32. Several key issues emerged, such as the need to receive empathic support from other users, the desire to maintain continuing bonds, the wish to remember the deceased, and the desire to share beauty and symbolic pictures. The images were analyzed using content analysis. Both samples posted photos to remember and to enhance their posts. A strong preference for pictures with a positive emotional connotation appeared, depicting the deceased in a conjoint appearance with the participant. Results suggest that imagery used for the expression of grief in social media sites, an &ldquo;iconography of grief,&rdquo; is a popular means of expression for grievers.

Sign in / Sign up

Export Citation Format

Share Document