scholarly journals Public Perceptions Regarding Use of Virtual Reality in Health Care: A Social Media Content Analysis Using Facebook

2017 ◽  
Vol 19 (12) ◽  
pp. e419 ◽  
Author(s):  
Michelle Sophie Keller ◽  
Hannah J Park ◽  
Maria Elena Cunningham ◽  
Joshua Eleazar Fouladian ◽  
Michelle Chen ◽  
...  
Keyword(s):  
Health Care ◽  
Social Media ◽  
Virtual Reality ◽  
Content Analysis ◽  
Public Perceptions ◽  
Media Content ◽  
Media Content Analysis

scholarly journals Public Perceptions Regarding Use of Virtual Reality in Health Care: A Social Media Content Analysis Using Facebook (Preprint)

2017 ◽  
Author(s):  
Michelle Sophie Keller ◽  
Hannah J Park ◽  
Maria Elena Cunningham ◽  
Joshua Eleazar Fouladian ◽  
Michelle Chen ◽  
...  
Keyword(s):  
Health Care ◽  
Social Media ◽  
Virtual Reality ◽  
Content Analysis ◽  
Public Opinion ◽  
Patient Care ◽  
Stress Reduction ◽  
Media Content Analysis ◽  
Scientific Software ◽  
Wide Range

BACKGROUND Virtual reality (VR) technology provides an immersive environment that enables users to have modified experiences of reality. VR is increasingly used to manage patients with pain, disability, obesity, neurologic dysfunction, anxiety, and depression. However, public opinion regarding the use of VR in health care has not been explored. Understanding public opinion of VR is critical to ensuring effective implementation of this emerging technology. OBJECTIVE This study aimed to examine public opinion about health care VR using social listening, a method that allows for the exploration of unfiltered views of topics discussed on social media and online forums. METHODS In March 2016, NBC News produced a video depicting the use of VR for patient care. The video was repackaged by NowThis, a social media news website, and distributed on Facebook by Upworthy, a news aggregator, yielding 4.3 million views and 2401 comments. We used Microsoft Excel Power Query and ATLAS.ti software (version 7.5, Scientific Software Development) to analyze the comments using content analysis and categorized the comments around first-, second-, and third-order concepts. We determined self-identified gender from the user’s Facebook page and performed sentiment analysis of the language to analyze whether the perception of VR differed by gender using a Pearson’s chi-square test. RESULTS Out of the 1614 analyzable comments, 1021 (63.26%) were attributed to female Facebook users, 572 (35.44%) to male users, and 21 (1.30%) to users of unknown gender. There were 1197 comments coded as expressing a positive perception about VR (74.16%), 251 coded as expressing a negative perception and/or concern (15.56%), and 560 coded as neutral (34.70%). Informants identified 20 use cases for VR in health care, including the use of VR for pain and stress reduction; bed-bound individuals; women during labor; and patients undergoing chemotherapy, dialysis, radiation, or imaging procedures. Negative comments expressed concerns about radiation, infection risk, motion sickness, and the ubiquity of and overall dependence on technology. There was a statistically significant association between the language valence of the Facebook post and the gender of the Facebook user; men were more likely to post negative perceptions about the use of VR for health care, whereas women were more likely to post positive perceptions (P<.001). CONCLUSIONS Most informants expressed positive perceptions about the use of VR in a wide range of health care settings. However, many expressed concerns that should be acknowledged and addressed as health care VR continues to evolve. Our results provide guidance in determining where further research on the use of VR in patient care is needed, and offer a formal opportunity for public opinion to shape the VR research agenda.

scholarly journals Examining Perceived and Projected Destination Image: A Social Media Content Analysis

2021 ◽  
Vol 13 (6) ◽  
pp. 3354
Author(s):  
Wei Sun ◽  
Shoulian Tang ◽  
Fang Liu
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Destination Image ◽  
Media Content ◽  
Media Content Analysis ◽  
Poor Understanding ◽  
Practical Implications

Destination image has been extensively studied in tourism and marketing, but the questions surrounding the discrepancy between the projected (perceptions from the National Tourism Organizations) and perceived destination image (perceptions from tourists) as well as how the discrepancy may influence sustainable experience remain unclear. Poor understanding of the discrepancy may cause tourist confusion and misuse of resources. The aim of this study is to empirically investigate if the perceived (by tourists) and projected (by NTOs) destination image are significantly different in both cognitive and affective aspects. Through a comprehensive social media content analysis of the NTO-generated and tourist-generated-contents (TGC), the current study identifies numerous gaps between the projected and perceived destination image, which offers some important theoretical and practical implications on destination management and marketing.

Marijuana and Glaucoma: A Social Media Content Analysis

2020 ◽  
Author(s):  
Jing (Sasha) Jia ◽  
Nikki Mehran ◽  
Robert Purgert ◽  
Qiang (Ed) Zhang ◽  
Daniel Lee ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Media Content ◽  
Media Content Analysis

Social Media Content Analysis

10.1142/10535 ◽  
2017 ◽  
Author(s):  
Kam-Fai Wong ◽  
Wei Gao ◽  
Ruifeng Xu ◽  
Wenjie Li
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Media Content ◽  
Media Content Analysis

scholarly journals Incorporating Social Role Theory into Topic Models for Social Media Content Analysis

2015 ◽  
Vol 27 (4) ◽  
pp. 1032-1044 ◽  
Author(s):  
Wayne Xin Zhao ◽  
Jinpeng Wang ◽  
Yulan He ◽  
Jian-Yun Nie ◽  
Ji-Rong Wen ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Role Theory ◽  
Social Role ◽  
Topic Models ◽  
Media Content ◽  
Media Content Analysis ◽  
Social Role Theory

scholarly journals Ultra-Right Radicalization: a Method of Automated Threat Detection with the Use of Web Mining

2021 ◽  
pp. 30-43
Author(s):  
Anna Karpova ◽  
Aleksey Savel'ev ◽  
Aleksandr Vil'nin ◽  
Anastasiya Kayda ◽  
Sergey Kuznecov ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Web Mining ◽  
Social Science Research ◽  
Science Research ◽  
Automated Detection ◽  
Media Content ◽  
Threat Detection ◽  
Media Content Analysis ◽  
Current Trends

The paper provides a brief review of current trends in studying ultra-right radicalization risks both in Russia and globally. Since the scientific interpretations in studying the notion of radicalization are differentiated, the authors prefer the following one: the ultra-rightists represent communities and movements that accept the idea that violence is necessary to achieve any goal (political, ideological, economic, social or personal). The ultra-rightists justify and promote this idea, expressing their willingness to act violently. They also make a moral commitment to defend those who promote the idea. The authors present the results of the work of the TPU’s cross-subject project team to create a prototype and a method for automated detection of ultra-rightists’ threats in social media. The paper describes the main challenges the researches face when applying smart social media content analysis as a tool for automating social science research.

scholarly journals Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

10.2196/28800 ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. e28800
Author(s):  
Jean-Christophe Boucher ◽  
Kirsten Cornelson ◽  
Jamie L Benham ◽  
Madison M Fullerton ◽  
Theresa Tang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
Multinational Corporations ◽  
Vaccine Hesitancy ◽  
Media Content ◽  
Media Content Analysis ◽  
Vaccine Trials ◽  
The Government

Background The rollout of COVID-19 vaccines has brought vaccine hesitancy to the forefront in managing this pandemic. COVID-19 vaccine hesitancy is fundamentally different from that of other vaccines due to the new technologies being used, rapid development, and widespread global distribution. Attitudes on vaccines are largely driven by online information, particularly information on social media. The first step toward influencing attitudes about immunization is understanding the current patterns of communication that characterize the immunization debate on social media platforms. Objective We aimed to evaluate societal attitudes, communication trends, and barriers to COVID-19 vaccine uptake through social media content analysis to inform communication strategies promoting vaccine acceptance. Methods Social network analysis (SNA) and unsupervised machine learning were used to characterize COVID-19 vaccine content on Twitter globally. Tweets published in English and French were collected through the Twitter application programming interface between November 19 and 26, 2020, just following the announcement of initial COVID-19 vaccine trials. SNA was used to identify social media clusters expressing mistrustful opinions on COVID-19 vaccination. Based on the SNA results, an unsupervised machine learning approach to natural language processing using a sentence-level algorithm transfer function to detect semantic textual similarity was performed in order to identify the main themes of vaccine hesitancy. Results The tweets (n=636,516) identified that the main themes driving the vaccine hesitancy conversation were concerns of safety, efficacy, and freedom, and mistrust in institutions (either the government or multinational corporations). A main theme was the safety and efficacy of mRNA technology and side effects. The conversation around efficacy was that vaccines were unlikely to completely rid the population of COVID-19, polymerase chain reaction testing is flawed, and there is no indication of long-term T-cell immunity for COVID-19. Nearly one-third (45,628/146,191, 31.2%) of the conversations on COVID-19 vaccine hesitancy clusters expressed concerns for freedom or mistrust of institutions (either the government or multinational corporations) and nearly a quarter (34,756/146,191, 23.8%) expressed criticism toward the government’s handling of the pandemic. Conclusions Social media content analysis combined with social network analysis provides insights into the themes of the vaccination conversation on Twitter. The themes of safety, efficacy, and trust in institutions will need to be considered, as targeted outreach programs and intervention strategies are deployed on Twitter to improve the uptake of COVID-19 vaccination.

scholarly journals Relational Environmentalism in Coastal Recreation and Tourism

2019 ◽  
Vol 11 (21) ◽  
pp. 6011 ◽  
Author(s):  
Anne-Mette Hjalager ◽  
Grzegorz Kwiatkowski
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Primary Data ◽  
Media Content ◽  
Natural Environments ◽  
Media Content Analysis ◽  
Marine Litter ◽  
Theoretical Contribution ◽  
Recreation And Tourism ◽  
Coastal Recreation

Given the extensive challenge of marine litter faced by coastal ecosystems, this article aims to illuminate an innovative form of environmental caretaking that builds upon a newly established concept of relational environmentalism. Relational environmentalism is a movement of individuals who purposefully interact with each other and with external bodies in a variety of dynamically developing ways to affect the perceptions, motivations and practical actions for the caretaking of endangered natural environments. As a theoretical contribution, the article conceptualizes eight categories of relational environmentalism: inviting, informing, coaching, norm enforcing, politicizing, mobilizing, intergeneralizing, and bridging. By means of a social media content analysis and primary data from the “Marine Environment Patrol” Facebook site, the article provides the first evidence on what relational environmentalism is and how it is institutionalized in the case of leisure- and tourism-based volunteering to collect marine litter. Furthermore, the article shows that successful campaigning and environmental patrolling in coastal recreation and tourism is a matter of building alliances and exchanging logics across a variety of boundaries and that it depends on a gradual intensification and diversification of communicative and mobilizing measures.

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