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

Media and Communication Research Facing Social Media

2013 ◽  
pp. 371-392
Author(s):  
Georgeta Drula
Keyword(s):  
Social Media ◽  
Communication Studies ◽  
Research Activities ◽  
Social Actions ◽  
Academic Publications ◽  
Data Source ◽  
Media Research ◽  
Social Media Research ◽  
Network Studies ◽  
Media And Communication

It is already a fact that social media are engaged in research activities. Social media may make the object of research studies or an important data source. This chapter addresses issues related to social media research in media and communication studies. The pursued objective is to capture how researchers consider and analyze social media through scientific methods, in their work with academic purposes, in order to present the discussed theories. The ideas addressed by this chapter are case studies arising from the articles in the academic publications, topics related to social media and media and communication fields, outputs of researches, and appropriate methods for studying social media. The conclusions of this chapter show that social media research in media and communication studies, theories, and methods must be transformed or must be used more appropriate to social media. New and social media are faced with other practices and types of communication related to users’ participation and social actions and are based on network studies.

scholarly journals Lupus patients on Twitter: Expressed symptoms and attitudes toward using the platform for healthcare engagement (Preprint)

2019 ◽  
Author(s):  
Alden Bunyan ◽  
Swamy Venuturupalli ◽  
Katja Reuter
Keyword(s):  
Social Media ◽  
Data Extraction ◽  
Analysis Data ◽  
Self Report ◽  
Social Media Analytics ◽  
Translational Science ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Twitter Data ◽  
The U.S

BACKGROUND Lupus is a complex autoimmune disease that is difficult to diagnose and treat. It is estimated that at least 5 million Americans have lupus, with more than 16,000 new cases of lupus being reported annually in the U.S. Social media provides a platform for patients to find rheumatologists, peers, and build awareness of the condition. Researchers suggested that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues. However, there is a lack of research about the characteristics of lupus patients on Twitter and their attitudes toward using Twitter for engaging them with their healthcare. OBJECTIVE This study has two objectives: (1) to conduct a content analysis of Twitter data published by users (in English) in the U.S. between 9/1/2017 and 10/31/2018 to identify patients who publicly discuss their lupus condition and to assess their expressed health themes, and (2) to conduct a cross-sectional survey among these lupus patients on Twitter to study their attitudes toward using Twitter for engaging them with their healthcare. METHODS This is a mixed-methods study that analyzes retrospective Twitter data and conducts a cross-sectional survey among lupus patients on Twitter. We will use Symplur Signals, a healthcare social media analytics platform, to access the Twitter data and analyze user-generated posts that include keywords related to lupus. We will use descriptive statistics to analyze the data and identify the most prevalent topics in the Twitter content among lupus patients. We will further conduct self-report surveys via Twitter by inviting all identified lupus patients who discuss their lupus condition on Twitter. The goal of the survey is to collect data about the characteristics of lupus patients (e.g., gender, race/ethnicity, educational level) and their attitudes toward using Twitter for engaging them with their healthcare. RESULTS This study has been funded by the National Center for Advancing Translational Science (NCATS) through a Clinical and Translational Science Award (CTSA) award. The Institutional Review Board at the University of Southern California (HS-19-00048) approved the study. Data extraction and cleaning are complete. We obtained 47,715 Twitter posts containing terms related to “lupus” from users in the U.S. published in English between 9/1/2017 and 10/31/2018. We will include 40,885 posts in the analysis. Data analysis will be completed by the end of 2019. CONCLUSIONS The data obtained in this pilot study will shed light on whether Twitter provides a promising data source for garnering health-related attitudes among lupus patients. The data will also help to determine whether Twitter might serve as a potential outreach platform for raising awareness of lupus among patients and healthcare providers and implementing related health education interventions. CLINICALTRIAL N/A

scholarly journals ‘I feel the irritation and frustration all over the body’ Affective ambiguities in networked parenting culture

2021 ◽  
pp. 136787792110035
Author(s):  
Mari Lehto ◽  
Susanna Paasonen
Keyword(s):  
Social Media ◽  
Media Use ◽  
Research Data ◽  
The Body ◽  
Social Media Use ◽  
Working Through ◽  
Media Research ◽  
Social Media Research ◽  
Study Participants

This article investigates the affective power of social media by analysing everyday encounters with parenting content among mothers. Drawing on data composed of diaries of social media use and follow-up interviews with six women, we ask how our study participants make sense of their experiences of parenting content and the affective intensities connected to it. Despite the negativity involved in reading and participating in parenting discussions, the participants find themselves wanting to maintain the very connections that irritate them, or even evoke a sense of failure, as these also yield pleasure, joy and recognition. We suggest that the ambiguities addressed in our research data speak of something broader than the specific experiences of the women in question. We argue that they point to the necessity of focusing on, and working through affective ambiguity in social media research in order to gain fuller understanding the complex appeal of platforms and exchanges.

scholarly journals Is It Time to Re-Evaluate the Ethics Governance of Social Media Research?

2018 ◽  
Vol 13 (4) ◽  
pp. 452-454 ◽  
Author(s):  
G. Samuel ◽  
W. Ahmed ◽  
H. Kara ◽  
C. Jessop ◽  
S. Quinton ◽  
...  
Keyword(s):  
Social Media ◽  
Research Ethics ◽  
Ethical Issues ◽  
Real Life ◽  
Ethics Committees ◽  
Research Ethics Committees ◽  
Media Ethics ◽  
Research Institution ◽  
Media Research ◽  
Social Media Research

This article reports on a U.K. workshop on social media research ethics held in May 2018. There were 10 expert speakers and an audience of researchers, research ethics committee members, and research institution representatives. Participants reviewed the current state of social media ethics, discussing well-rehearsed questions such as what needs consent in social media research, and how the public/private divide differs between virtual and real-life environments. The lack of answers to such questions was noted, along with the difficulties posed for ethical governance structures in general and the work of research ethics committees in particular. Discussions of these issues enabled the creation of two recommendations. The first is for research ethics committees and journal editors to add the category of ‘data subject research’ to the existing categories of ‘text research’ and ‘human subject research’. This would reflect the fact that social media research does not fall into either of the existing categories and so needs a category of its own. The second is that ethical issues should be considered at all stages of social media research, up to and including aftercare. This acknowledges that social media research throws up a large number of ethical issues throughout the process which, under current arrangements for ethical research governance, risks remaining unaddressed.

scholarly journals Navigating Big Data dilemmas: Feminist holistic reflexivity in social media research

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171880773 ◽  
Author(s):  
Cheryl Cooky ◽  
Jasmine R Linabary ◽  
Danielle J Corple
Keyword(s):  
Social Media ◽  
Big Data ◽  
Institutional Review Boards ◽  
Social Media Data ◽  
Institutional Review ◽  
Slow Adaptation ◽  
Private Research ◽  
Media Research ◽  
Social Media Research ◽  
Media Data

Social media offers an attractive site for Big Data research. Access to big social media data, however, is controlled by companies that privilege corporate, governmental, and private research firms. Additionally, Institutional Review Boards’ regulative practices and slow adaptation to emerging ethical dilemmas in online contexts creates challenges for Big Data researchers. We examine these challenges in the context of a feminist qualitative Big Data analysis of the hashtag event #WhyIStayed. We argue power, context, and subjugated knowledges must each be central considerations in conducting Big Data social media research. In doing so, this paper offers a feminist practice of holistic reflexivity in order to help social media researchers navigate and negotiate this terrain.

scholarly journals Kesantunan Mahasiswa Dalam Berbahasa Indonesia Di Media Sosial: Whatsapp, Facebook, Dan Instagram

2021 ◽  
Vol 8 (1) ◽  
pp. 39-46
Author(s):  
Widya Tri Utomo ◽  
Andhika Djalu Sembada ◽  
Ricky Santoso Muharam
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Positive Impact ◽  
Oral Communication ◽  
Written Communication ◽  
Personal Writing ◽  
Qualitative Descriptive ◽  
Media Research ◽  
Social Media Research ◽  
Word Selection

The research aims to analyze students' modesty in Indonesian on social media, so that students pay more attention to the modesty in Indonesian through social media. Research uses qualitative descriptive methods to describe complex social realities by describing, classifying, analyzing, and interpreting data according to its natural condition. Data collection techniques take from student conversation screenshoots from social media WhatsApp, Facebook, and Instagram.The results showed, 1) there is still an ambiguous use of the word in written communication, 2) the use of the word "Sorry" to start a conversation on social media, 3) displeasure in giving greetings to lecturers, 4) the use of casual language (disrespectful) to lecturers, 5) indifference in word selection to lecturers through social media, and 6) insensitivity in giving opening greetings.Lecturers give direction to students through personal writing communication and provide examples of polite communication when chatting with students. The student's response after being given direction by the lecturer, has a positive impact. Students pay more attention to the civility of language when communicating with lecturers, either through written communication, or oral communication.

scholarly journals How changing API terms changed Instagram's domain? A bibliometric analysis

2021 ◽  
Author(s):  
Richard Hartman ◽  
Tereza Simova
Keyword(s):  
Social Media ◽  
Well Being ◽  
Body Image Dissatisfaction ◽  
Research Area ◽  
Before And After ◽  
Social Media Platforms ◽  
Application Programming ◽  
Key Topics ◽  
Media Research ◽  
Social Media Research

In 2018 Facebook blocked a public Application Programming Interfaces (API) that could be used to download data from Facebook and Instagram. Much uncertainty still exists about the effect on social media research due to changes in Instagram API conditions. The presented paper provides an overview of the Instagram domain in terms of a research area. The main focus of this research is on the comparison of the key topics before and after the change of the Instagram API terms (comparing Instagram's research domain before and after 2018). A partial goal was to find out how the change in the conditions of the Instagram API has changed the number of social media research itself. We used a bibliometric approach to map the domain of Instagram. The paper has identified key topics in the domain of Instagram. Between the years 2010 and 2018 the key topics were gender, behavior on social media, dissemination of information, and platform selection. After the change of Instagram API conditions, after 2018, the key topics were gratifications, body image, dissatisfaction, and basic Instagram topics. The paper has found that generally, there was no change in research topics, nor the number of papers published after the Instagram API condition. Further study should focus on establish the relationships between Instagram use and psychological well-being; investigate the motives for Instagram use a study the effect of Instagram API on research with the use of different methods; gaining a better understanding of social media consumer activity; establish whatever our key topics are relevant to other social media platforms (Facebook, Twitter or Tiktok); study Instagram domain on different citation databases (e.g., in Scopus). This paper has also raised important questions about whether the Instagram API should be or should not be open for research purposes.

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