scholarly journals “Hide, stay still and listen carefully”

2021 ◽  
Author(s):  
Yazdan Mansourian
Keyword(s):  
Social Media ◽  
Information Needs ◽  
User Generated Content ◽  
Ongoing Study ◽  
Wide Range ◽  
Youtube Videos ◽  
Share Information

This poster presents early findings of an ongoing study about information activities of the birdwatching communities on the YouTube platform. The research aims to find out how they typically seek and share information on this social media and to what extent YouTube videos can satisfy their information needs. To address the questions, the researcher analysed 1988 comments from a sample of the most visited birdwatching videos to identify the patterns based on the user generated content (UGC). The results up to this stage show birdwatching is an incredibly information-rich context and birdwatchers are involved in wide range of information activities to pursue their hobbies.

Vaccine-Related Content, Dynamics, and Conspiracy Theories in External Links Shared in Twitter COVID-19 Conversations: A Computational Analysis (Preprint)

2021 ◽  
Author(s):  
Iain Cruickshank ◽  
Tamar Ginossar ◽  
Jason Sulskis ◽  
Elena Zheleva ◽  
Tanya Berger-Wolf
Keyword(s):  
Social Media ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Communication Strategy ◽  
Vaccine Hesitancy ◽  
Traditional Media ◽  
Conspiracy Theories ◽  
Wide Range ◽  
Social Media Platforms ◽  
Youtube Videos

BACKGROUND The onset of the COVID-19 pandemic and the consequent “infodemic” that ensued highlighted the role that social media play in increasing vaccine hesitancy. Despite the efforts to curtail the spread of misinformation, the anti-vaccination movement continues to use Twitter and other social media platforms to advance its messages. Although users typically engage with different social media platforms, research on vaccination discourse typically focused on single platforms. Understanding the content and dynamics of external content shared on vaccine-related conversations on Twitter during the COVID-19 pandemic can shed light on the use of different sources, including traditional media and social media by the anti-vaccination movement. In particular, examining how YouTube videos are shared within vaccination-related tweets is important in understanding the spread of anti-vaccination narratives. OBJECTIVE informed by agenda-setting theory, this study aimed to use machine-learning to understand the content and dynamics of external websites shared in vaccines-related tweets posted in COVID-19 conversations on Twitter. METHODS We screened around 5 million tweets posted to COVID-19 related conversations to include tweets that discussed vaccination. We then identified external content, including the most tweeted web domains and URLs within these tweets and the number of days they were shared. The topics and dynamics of tweeted YouTube videos were further analyzed by using Latent Dirichlet Allocation to topic-model the transcripts of the YouTube videos, and by independent coders. RESULTS of 841,896 vaccination-related tweets identified, 128,408 (22.1%) included external content. A wide range of external websites were shared. The 20 most tweeted websites constituted 10.9% of the shared websites and were typically shared for only 2-3 days within a one-month period. Traditional media constituted the majority of these 20 most tweeted URLs. Content of YouTube links shared had both the greatest number of unique URLs for any given URL domain and was the most tweeted domain over time. The majority (n=15) of the 20 most tweeted videos opposed vaccinations and featured conspiracy theories. Analysis of the transcripts of 1,280 YouTube videos shared indicated high frequency of conspiracy theories. CONCLUSIONS Our study reveals that sharing URLs over Twitter is a common communication strategy. Whereas shared URLs overall demonstrated a strong presence of legacy media organizations, YouTube videos were used to spread anti-vaccination messages. Produced by individuals or by foreign governments, these videos emerged as a major driver for sharing vaccine-related conspiracy theories. Future interventions should take into account cross-platform use to counteract this misinformation.

scholarly journals Examination of YouTube videos related to synthetic cannabinoids

2016 ◽  
Vol 30 (4) ◽  
Author(s):  
M. Dottington Fullwood ◽  
Aleksandar Kecojevic ◽  
Corey H. Basch
Keyword(s):  
United States ◽  
Social Media ◽  
Synthetic Cannabinoids ◽  
The United States ◽  
User Generated Content ◽  
Health Issues ◽  
Search Terms ◽  
Social Media Platforms ◽  
Youtube Videos ◽  
Common Content

Abstract The popularity of synthetic cannabinoids (SCBs) is increasing the chance for adverse health issues in the United States. Moreover, social media platforms such as YouTube that provided a platform for user-generated content can convey misinformation or glorify use of SCBs. The aim of this study was to fill this gap by describing the content of the most popular YouTube videos containing content related to the SCBs. Videos with at least 1000 or more views found under the search terms “K2” and “spice” included in the analysis. The collective number of views was over 7.5 million. Nearly half of videos were consumer produced (n=42). The most common content in the videos was description of K2 (n=69), followed by mentioning dangers of using K2 (n=47), mentioning side effects (n=38) and showing a person using K2 (n=37). One-third of videos (n=34) promoted use of K2, while 22 videos mentioned risk of dying as a consequence of using K2. YouTube could be used as a surveillance tool to combat this epidemic, but instead, the most widely videos related to SCBs are uploaded by consumers. The content of these consumer videos on YouTube often provide the viewer with access to view a wide array of uploaders describing, encouraging, participating and promoting use.

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

RepPer: Perception of Psychiatric Disorders on Twitter in French (Preprint)

2020 ◽  
Author(s):  
Sarah Delanys ◽  
Farah Benamara ◽  
Véronique Moriceau ◽  
François Olivier ◽  
Josiane Mothe
Keyword(s):  
Social Media ◽  
Psychiatric Disorders ◽  
Digital Technology ◽  
Psychotic Disorders ◽  
Negative Polarity ◽  
Machine Learning Algorithms ◽  
Annotation Scheme ◽  
Word Use ◽  
Wide Range ◽  
Initial Dataset

BACKGROUND With the advent of digital technology and specifically user generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French. OBJECTIVE Our aim is to study how generic, nosographic and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has three complementary goals: (1) to analyze the types of psychiatric word use namely medical, misuse, irrelevant, (2) to analyze the polarity conveyed in the tweets that use these terms (positive/negative/neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English ). METHODS Our study has been conducted on a corpus of tweets in French posted between 01/01/2016 to 12/31/2018 and collected using dedicated keywords. The corpus has been manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. Two analysis have been performed. First a qualitative analysis to measure the reliability of the produced manual annotation, then a quantitative analysis considering mainly term frequency in each layer and exploring the interactions between them. RESULTS One of the first result is a resource as an annotated dataset . The initial dataset is composed of 22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3,040 tweets that corresponds to the resource resulting from our work. The second result is the analysis of the annotations; it shows that terms are misused in 45.3% of the tweets and that their associated polarity is negative in 86.2% of the cases. When considering the three types of term use, 59.5% of the tweets are associated to a negative polarity. Misused terms related to psychotic disorders (55.5%) are more frequent to those related to mood disorders (26.5%). CONCLUSIONS Some psychiatric terms are misused in the corpora we studied; which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks which are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced; so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media.

scholarly journals Making sense of “superbugs” on YouTube: A storytelling approach

2021 ◽  
pp. 096366252198925
Author(s):  
Monika Djerf-Pierre ◽  
Mia Lindgren
Keyword(s):  
Social Media ◽  
Antimicrobial Resistance ◽  
Health Knowledge ◽  
Social Media Platform ◽  
Making Sense ◽  
New Knowledge ◽  
The World ◽  
Media Platform ◽  
Youtube Videos ◽  
Health Experts

Antimicrobial resistance is one of the greatest challenges facing the world. With the rapid growth of social media, YouTube has become an influential social media platform providing publics with expert health knowledge. This article explores how antimicrobial resistance is communicated on YouTube. Drawing on qualitative media analyses of the most viewed YouTube videos 2016–2020, we identify seven different genres and two main storytelling approaches, personalized and fictionalized storytelling, used to make sense of antimicrobial resistance and its complexities. The study contributes new knowledge about YouTube as a platform for health communication and the types of videos about antimicrobial resistance that gets most traffic. This is useful, not the least for public health experts working to improve communication strategies that target hard-to-reach media publics.

scholarly journals Online Videos as a Source of Physiotherapy Exercise Tutorials for Patients with Lumbar Disc Herniation—A Quality Assessment

2021 ◽  
Vol 18 (11) ◽  
pp. 5815
Author(s):  
Stephan Heisinger ◽  
Dominikus Huber ◽  
Michael Paul Matzner ◽  
Timothy Hasenoehrl ◽  
Stefano Palma ◽  
...  
Keyword(s):  
Lumbar Disc Herniation ◽  
Disc Herniation ◽  
Lumbar Disc ◽  
Quality Score ◽  
Global Quality ◽  
Wide Range ◽  
Youtube Videos ◽  
Socioeconomic Burden ◽  
Therapy Advice

Background: During the last few decades the prevalence of lumbar disc herniation has been increasing constantly, thereby imposing a significant socioeconomic burden. Physiotherapy plays a crucial role in both surgical and conservative treatment of lumbar disc herniation, consequently the current COVID-19 pandemic with concomitant lockdowns has led to a shortage of physiotherapeutical care. In the light of these recent events publicly available physiotherapy tutorials may be a useful tool to address this problem. Aim: The main aim of this study was to assess the quality of online physiotherapy exercise tutorials for lumbar disc herniation. Materials & Methods: With YouTube being a widely known and used platform we screened 240 of the most viewed videos. A total of 76 videos met the inclusion criteria and were statistically analyzed. The videos were assessed using Global Quality Score, DISCERN Score and JAMA benchmark criteria and in regard to their applicability. Results: They displayed a wide range of views (44,969 to 5,448,717), likes (66 to 155,079) and dislikes (6 to 2339). The videos were assessed using Global Quality Score, DISCERN Score and JAMA benchmark criteria and in regard to their applicability. Neither the number of “Views”, “Likes”, nor “Dislikes” was found to have a significant association with any of the quality measures used in this study. Conclusion: Overall quality grade was determined as “moderate”. Based on the data examined in this study, the use of YouTube videos as a source of therapy advice for lumbar spine disc herniation cannot be recommended universally.

scholarly journals Classification of unlabeled online media

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sakthi Kumar Arul Prakash ◽  
Conrad Tucker
Keyword(s):  
Social Media ◽  
Real World ◽  
Graphical Model ◽  
Ground Truth ◽  
Classification Problem ◽  
Machine Learning Algorithms ◽  
Social Media Networks ◽  
Online Social Media ◽  
Wide Range

AbstractThis work investigates the ability to classify misinformation in online social media networks in a manner that avoids the need for ground truth labels. Rather than approach the classification problem as a task for humans or machine learning algorithms, this work leverages user–user and user–media (i.e.,media likes) interactions to infer the type of information (fake vs. authentic) being spread, without needing to know the actual details of the information itself. To study the inception and evolution of user–user and user–media interactions over time, we create an experimental platform that mimics the functionality of real-world social media networks. We develop a graphical model that considers the evolution of this network topology to model the uncertainty (entropy) propagation when fake and authentic media disseminates across the network. The creation of a real-world social media network enables a wide range of hypotheses to be tested pertaining to users, their interactions with other users, and with media content. The discovery that the entropy of user–user and user–media interactions approximate fake and authentic media likes, enables us to classify fake media in an unsupervised learning manner.

scholarly journals How Well Do Videos on YouTube Meet Information Needs of ADRD Family Caregivers? A Qualitative Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 273-274
Author(s):  
Shinyi Wu ◽  
Katherine Foster ◽  
Magaly Ramirez ◽  
Haomiao Jin ◽  
Elizabeth Joe
Keyword(s):  
Family Caregivers ◽  
Selection Criteria ◽  
Information Needs ◽  
Rating Scale ◽  
Healthcare Services ◽  
Community Resources ◽  
Healthcare Organizations ◽  
Term Care ◽  
Community Stakeholders ◽  
Youtube Videos

Abstract Family caregivers need access to information, education, and support for taking care of individuals with Alzheimer’s disease and other dementia (ADRD). As YouTube is increasingly being used for sharing health information, videos regarding the disease and caregiving are becoming an important source of information to support family ADRD caregivers. This study aimed to assess the types and quality of information available on YouTube videos related to ADRD caregiving. A framework categorizing information needs of family ADRD caregivers was developed through a qualitative study with caregivers (N=21) and with healthcare and community stakeholders (N=6). The framework was used to conduct content analysis of YouTube videos. Nineteen categories of information needs were identified, including information about ADRD, healthcare services and treatment, available community resources, caregiving skills, and short- and long-term care. YouTube videos that met the keywords, language, and view selection criteria were evaluated by two coders on a developed rating scale to measure their relevance and helpfulness. A neurologist verified the ratings in 10% of the coded videos for quality assurance. There were 48 English and 23 Spanish videos met the selection criteria. More English (89.6%) than Spanish (56.5%) videos provided tips on handling specific ADRD symptoms. The majority categories of information needs (15 of the 19) were absent in most videos (87.0%, 89.6%). Many of the most watched videos were not rated as helpful. Community-based providers and healthcare organizations are encouraged to make high quality needed information in commonly accessed videos sharing service to support ADRD family caregivers.

scholarly journals ‘How to Botox’ on YouTube: Influence and Beauty Procedures in the Era of User-Generated Content

2021 ◽  
Vol 18 (8) ◽  
pp. 4359
Author(s):  
Bárbara Castillo-Abdul ◽  
Daniela Jaramillo-Dent ◽  
Luis M. Romero-Rodríguez
Keyword(s):  
Content Analysis ◽  
Personal Experience ◽  
Preliminary Analysis ◽  
Positive Emotions ◽  
User Generated Content ◽  
Medical Procedures ◽  
Media Environment ◽  
Quantitative Content ◽  
Final Sample ◽  
Youtube Videos

The current media environment is complex and has important effects on all aspects of life, including beauty and health. In this sense, YouTube has become one of the main contexts for the dissemination of tutorials and content related to medical procedures such as the application of Botox. Thus, the present study constitutes the first exploratory analysis of YouTube videos in Spanish related to this procedure. A preliminary analysis of 221 YouTube videos yielded a final sample of the 50 most viewed videos within this genre. The analysis was carried out through a quantitative content analysis assessing the popularity of the videos, contact and emotive strategies by the creator, the credibility conveyed, and the characteristics of information about the procedure itself. Results suggest that these influencers align with mainstream Internet celebrity culture in practices that aim at increasing their following and views, as well as calls for subscriptions and visits to other platforms and profiles. Moreover, they include different strategies to establish their credibility but emphasize personal experience. The positive portrayal of the procedure, including positive emotions and content that highlights the benefits, is interesting and supports the commercial nature of much of the content.

scholarly journals Travelers’ Responsible Environmental Behavior towards Sustainable Coastal Tourism: An Empirical Investigation on Social Media User-Generated Content

2020 ◽  
Vol 13 (1) ◽  
pp. 56 ◽  
Author(s):  
Mohammad Tipu Sultan ◽  
Farzana Sharmin ◽  
Alina Badulescu ◽  
Elena Stiubea ◽  
Ke Xue
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Environmental Behavior ◽  
Relevant Literature ◽  
User Generated Content ◽  
Equation Modeling ◽  
Environmental Concerns ◽  
Destination Marketing ◽  
Coastal Tourism ◽  
Responsible Environmental Behavior

There has been increasing interest in coastal tourism, sparking a debate on the responsible environmental behavior of travelers visiting sustainable destinations. To mitigate this issue, destination marketing organizations (DMOs) and environmental activists are trying to develop strategic approaches (i.e., by using digital technologies) to enhance the sustainable behavior of travelers. Environmental responsiveness and its impact on sustainable destinations is gaining attention by companies, scholars, and institutions. However, the relevant literature has not addressed social media user-generated content regarding sustainable destinations. Sharing stakeholder knowledge, activities, and experience on social media could accomplish this goal. Hence, this paper aims to explore travelers′ responsible environmental behavior towards coastal tourism within the social media user-generated content paradigm. To measure the effect of user-generated content (UGC), i.e., cognitive triggers and affective triggers, on the responsible environmental behavior of travelers, a survey questionnaire was used to collect data (n = 506) from the world’s longest sandy sea beach, Cox’s Bazar, located in the Southern part of Bangladesh. The data were examined by structural equation modeling (SEM). The results revealed that cognitive and affective triggers of user-generated content influence travelers’ environmental concerns and attitudes, making a significant contribution to shaping responsible environmental behavior. Additionally, the findings show that environmental concerns and attitudes play a significant role in producing commitment towards a sustainable coastal tourism practice. This study contributes to the effectiveness of user-generated content for persuasive interactions with destination marketing organizations to develop sustainable tourism practices.

Sign in / Sign up

Export Citation Format

Share Document