Analyzing YouTube data to characterize audience engagement with an online global health entertainment series (Preprint)

2021 ◽  
Author(s):  
Philip M. Massey ◽  
Matthew D. Kearney ◽  
Elikem K. Togo ◽  
Adam Peterson ◽  
Deborah Glik
Keyword(s):  
Social Media ◽  
Global Health ◽  
Monitoring And Evaluation ◽  
Online Data ◽  
Audience Engagement ◽  
Health And Human Rights ◽  
Program Impact ◽  
Health Related ◽  
Use Of Social Media ◽  
And Behavior

BACKGROUND Use of social media is expanding the reach and delivery of health-related programs and content among geographically diverse audiences. Concurrently, social media extends our capabilities to measure program impact and audience engagement. This study utilizes social media data from YouTube to describe audience engagement with Season 2 of C’est La Vie! (CLV), a transmedia television series developed and produced in West Africa that focuses on health and human rights that broadcasts on the digital platform of YouTube. OBJECTIVE We sought to characterize the content of YouTube comments for CLV; to examine the relationship between audience engagement and story components (i.e., characters); and to describe how storyline engaged comments differ across episodes. METHODS We collected all public YouTube comments (n=5,280) from CLV Season 2 episodes in February 2020, approximately three months after the season finale. We analyzed YouTube metadata, including the number of episode views, comments, and likes. We randomly sampled half of the comments (n=2,599) – proportionately to the number of comments per episode – and qualitatively analyzed viewer comments within domains of health topics, characters mentioned, and storyline engagement. RESULTS The 36-episode second season of C’est La Vie! averaged over 103,000 views, 150 comments, and more than 1,400 likes per episode. More than 25% of comments talked about a character. Nearly one in five comments showed engagement with the storyline or plot points, while only a small percentage directly discussed a health topic. Certain characters (e.g., the show’s villain “Korsa”) were discussed more often in comments; however, other characters (e.g., the show’s heroines) were discussed less frequently but were more likely to be associated with storyline-engaged comments. CONCLUSIONS Public online data can provide important insights regarding audience engagement and elements of the series that influence program impact. While online data are not necessarily representative of the larger population, our findings demonstrate potential relationships between program exposure and behavior change (i.e., audiences engaging with the storyline and characters). Our findings support the application of theoretical constructs to operationalize public, online data, especially when utilized for global health program monitoring and evaluation.

A Framework for the Forensic Analysis of User Interaction with Social Media

2012 ◽  
Vol 4 (4) ◽  
pp. 15-30 ◽  
Author(s):  
John Haggerty ◽  
Mark C. Casson ◽  
Sheryllynne Haggerty ◽  
Mark J. Taylor
Keyword(s):  
Social Media ◽  
User Interaction ◽  
Large Data ◽  
Forensic Analysis ◽  
Data Sets ◽  
User Engagement ◽  
Online Data ◽  
Use Of Social Media ◽  
Temporal Dimensions ◽  
Media Applications

The increasing use of social media, applications or platforms that allow users to interact online, ensures that this environment will provide a useful source of evidence for the forensics examiner. Current tools for the examination of digital evidence find this data problematic as they are not designed for the collection and analysis of online data. Therefore, this paper presents a framework for the forensic analysis of user interaction with social media. In particular, it presents an inter-disciplinary approach for the quantitative analysis of user engagement to identify relational and temporal dimensions of evidence relevant to an investigation. This framework enables the analysis of large data sets from which a (much smaller) group of individuals of interest can be identified. In this way, it may be used to support the identification of individuals who might be ‘instigators’ of a criminal event orchestrated via social media, or a means of potentially identifying those who might be involved in the ‘peaks’ of activity. In order to demonstrate the applicability of the framework, this paper applies it to a case study of actors posting to a social media Web site.

scholarly journals Consumer perceptions of using social media for health purposes: Benefits and drawbacks

2018 ◽  
Vol 25 (4) ◽  
pp. 1661-1674 ◽  
Author(s):  
Arcelio Benetoli ◽  
Timothy F Chen ◽  
Parisa Aslani
Keyword(s):  
Social Media ◽  
Health Knowledge ◽  
Information Overload ◽  
Treatment Options ◽  
Online Information ◽  
Social And Emotional ◽  
Advantages And Disadvantages ◽  
Related Information ◽  
Health Related ◽  
Use Of Social Media

Consumers are increasingly using social media to interact with other consumers about health conditions and treatment options. This study aimed to investigate the advantages and disadvantages of using social media for health-related purposes from the consumers’ perspectives. Five focus groups with 36 Australian adults with a chronic condition and on medication were conducted, audio-recorded, transcribed verbatim, and thematically analysed. Consumers reported that social media was very convenient, for accessing health-related information and for peer engagement; user-friendly; improved their health knowledge; empowered them; and provided social and emotional support. The disadvantages included information overload, wasting time; negative feelings; doubts about online information credibility; and issues related to online interactions. Despite some disadvantages, health-related use of social media led consumers to feel supported, knowledgeable, and empowered. Consumers’ motivation to keep accessing social media for health-related purposes opens up avenues for the delivery of services via social media.

scholarly journals Determinants of Infodemics During Disease Outbreaks: A Systematic Review

2021 ◽  
Vol 9 ◽  
Author(s):  
Javier Alvarez-Galvez ◽  
Victor Suarez-Lledo ◽  
Antonio Rojas-Garcia
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Health Promotion ◽  
Disease Outbreaks ◽  
Cochrane Library ◽  
Evidence Based ◽  
Healthy Habits ◽  
Health Related ◽  
Social Media Platforms ◽  
Use Of Social Media

Background: The widespread use of social media represents an unprecedented opportunity for health promotion. We have more information and evidence-based health related knowledge, for instance about healthy habits or possible risk behaviors. However, these tools also carry some disadvantages since they also open the door to new social and health risks, in particular during health emergencies. This systematic review aims to study the determinants of infodemics during disease outbreaks, drawing on both quantitative and qualitative methods.Methods: We searched research articles in PubMed, Scopus, Medline, Embase, CINAHL, Sociological abstracts, Cochrane Library, and Web of Science. Additional research works were included by searching bibliographies of electronically retrieved review articles.Results: Finally, 42 studies were included in the review. Five determinants of infodemics were identified: (1) information sources; (2) online communities' structure and consensus; (3) communication channels (i.e., mass media, social media, forums, and websites); (4) messages content (i.e., quality of information, sensationalism, etc.,); and (5) context (e.g., social consensus, health emergencies, public opinion, etc.). Studied selected in this systematic review identified different measures to combat misinformation during outbreaks.Conclusion: The clarity of the health promotion messages has been proven essential to prevent the spread of a particular disease and to avoid potential risks, but it is also fundamental to understand the network structure of social media platforms and the emergency context where misinformation might dynamically evolve. Therefore, in order to prevent future infodemics, special attention will need to be paid both to increase the visibility of evidence-based knowledge generated by health organizations and academia, and to detect the possible sources of mis/disinformation.

scholarly journals Use of Social Media for Seeking Health Related Information – An Exploratory Study

2017 ◽  
Vol 9 (2) ◽  
pp. 267-271 ◽  
Author(s):  
Navya Bhaskaran ◽  
Manish Kumar ◽  
Manthan Dilipkumar Janodia
Keyword(s):  
Social Media ◽  
Exploratory Study ◽  
Related Information ◽  
Health Related ◽  
Use Of Social Media

scholarly journals Impact of Social Media on Health-Related Outcomes Among Older Adults in Singapore: Qualitative Study

JMIR Aging ◽  
10.2196/23826 ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. e23826
Author(s):  
Madeline Han ◽  
Xin Yi Tan ◽  
Rachael Lee ◽  
Jeong Kyu Lee ◽  
Rathi Mahendran
Keyword(s):  
Older Adults ◽  
Social Media ◽  
Social Connectedness ◽  
Healthy Aging ◽  
Social Contexts ◽  
Social Needs ◽  
Health Related ◽  
Use Of Social Media ◽  
Interpretative Approach ◽  
Improve Health

Background The worldwide spread of digitalization has led to the harnessing of technology to improve health outcomes. Paying attention to older adults’ social needs via social media is one way to promote healthy aging. Although 56% of older adults are smartphone users, little is known about their use patterns of social media. Objective This exploratory study aims to determine the experiences of social media apps’ use among older adults in Singapore and understand their perceptions of its impact on health-related outcomes. Methods This study used a qualitative research design with an interpretative approach. Using maximum variation purposive sampling, normal aging older adults (N=16) who were aged between 60 and 80 years and experienced in the use of internet-enabled technology were recruited from an existing community study. Semistructured, in-depth interviews were conducted. Employing a thematic analysis, interviews were transcribed verbatim and analyzed for codes inductively. Results The following themes and subthemes were identified as key moderators of older adults’ experiences on social media apps: (1) personal attitudes: participants were encouraged to use social media due to the increased accessibility, which enabled the ease of contact, but perceptions that the quality of interactions was compromised and its associated risks reduced their use; and (2) social influences: the desire to bond with co-users and the availability of support increased use. In addition, use of social media apps was perceived to positively impact health through its ability to keep older adults cognitively engaged, improve health communication, and increase social connectedness. However, opinions remained mixed on older adults’ vulnerability to social media addiction. Conclusions Personal and social contexts determine older adults’ social media use. This study’s findings provide practical insights into how social media can be deployed to improve health-related outcomes in older adults.

scholarly journals Acceptance and Behavior of Social Media Use: Causality Analysis of Media Needs, Media Choice and Intervening Characteristics of Social Media Innovations

2021 ◽  
pp. 36-58
Author(s):  
J. S. Dwi Raharjo ◽  
. Kholil ◽  
Manik Sunuantari
Keyword(s):  
Social Media ◽  
Media Use ◽  
Critical Mass ◽  
Social Needs ◽  
Causality Analysis ◽  
Social Media Use ◽  
Study Program ◽  
Use Of Social Media ◽  
Use Behavior ◽  
And Behavior

Social media as one of the implementations of CMC has been widely used by more than half of the world's population in various forms of fulfilling needs and choices in interaction and communication, which is a phenomenon that we can see today. This research aims to see to what extent these needs and choices influence the acceptance and use of social media directly or indirectly through the characteristics of the innovation possessed by these social media. The research method used is a quantitative approach through a survey of the population of the reseacrh, namely students of the communication science study program of PTS in DKI Jakarta, represented by 378 respondents who have been validated. Data analysis using SEM modeling which is divided into measurement and structural models. The results of the research indicate that social media needs and choices have a significant effect on social media acceptance, social media needs and the choices have a significant effect on social media use behavior, then also the social media needs and choices through the characteristics of innovation have a significant effect on social media acceptance and needs. The choice of social media through the characteristics of innovation has a significant effect on the behavior of using social media. This research also shows that the need factors include personal needs, social needs and the need for tension relief and choice factors, namely media richness and critical mass of social media have an influence in accepting and using social media by students.

scholarly journals Use of Social Media for Health-Related Tasks by Adolescents With Inflammatory Bowel Disease: A Step in the Pathway of Transition

2018 ◽  
Vol 24 (6) ◽  
pp. 1114-1122 ◽  
Author(s):  
Winnie Szeto ◽  
Annelotte van der Bent ◽  
Carter R Petty ◽  
Jason Reich ◽  
Francis Farraye ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Social Media ◽  
Bowel Disease ◽  
Health Related ◽  
Inflammatory Bowel ◽  
Use Of Social Media

A Framework for the Forensic Analysis of User Interaction with Social Media

2013 ◽  
pp. 195-210
Author(s):  
John Haggerty ◽  
Mark C. Casson ◽  
Sheryllynne Haggerty ◽  
Mark J. Taylor
Keyword(s):  
Social Media ◽  
User Interaction ◽  
Large Data ◽  
Forensic Analysis ◽  
Data Sets ◽  
User Engagement ◽  
Online Data ◽  
Use Of Social Media ◽  
Temporal Dimensions ◽  
Media Applications

The increasing use of social media, applications or platforms that allow users to interact online, ensures that this environment will provide a useful source of evidence for the forensics examiner. Current tools for the examination of digital evidence find this data problematic as they are not designed for the collection and analysis of online data. Therefore, this paper presents a framework for the forensic analysis of user interaction with social media. In particular, it presents an inter-disciplinary approach for the quantitative analysis of user engagement to identify relational and temporal dimensions of evidence relevant to an investigation. This framework enables the analysis of large data sets from which a (much smaller) group of individuals of interest can be identified. In this way, it may be used to support the identification of individuals who might be ‘instigators’ of a criminal event orchestrated via social media, or a means of potentially identifying those who might be involved in the ‘peaks’ of activity. In order to demonstrate the applicability of the framework, this paper applies it to a case study of actors posting to a social media Web site.

scholarly journals Integration of social media with healthcare big data for improved service delivery

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Sibulela Mgudlwa ◽  
Tiko Iyamu
Keyword(s):  
Social Media ◽  
Big Data ◽  
Service Delivery ◽  
Healthcare Delivery ◽  
Healthcare Services ◽  
Security And Privacy ◽  
Related Services ◽  
Health Related ◽  
Factors Of Influence ◽  
Use Of Social Media

Background: In the last decade, social media users across the world have crossed 1 billion, making it one of the fastest growing sources of big data. Also, people needing healthcare continue to increase in every society. Through accessibility, communication and interaction between health practitioners and patients, this type of ever-growing, social media subscriber–based platform can be of significant use in improving healthcare delivery to society. However, users encounter serious challenges in their attempts to make use of social media and big data for health-related services. The challenges are primarily caused by factors such as integration, complexity, security and privacy. The challenges are mainly owing to the sensitive nature of the healthcare environment, as a result of personalisation and privacy of information. Objectives: The objectives of the study were to examine and gain a better understanding of the complexities that are associated with the use of social media and healthcare big data, through influencing factors, and to develop a framework that can be used to improve health-related services to the patients. Methods: The interpretivist approach was employed, within which qualitative data were collected. This included documents and existing literature in the areas of social media and healthcare big data. To have a good spread of both previous and current state of events within the phenomena being studied, literature published between 2006 and 2016 were gathered. The data were interpretively analysed. Results: Based on the analysis of the data, factors of influence were found, which were used to develop a model. The model illustrates how the factors of influence can enable and at the same time constrain the use of social media for healthcare services. The factors were interpreted from which a framework was developed. The framework is intended to guide integration of social media with healthcare big data through which service delivery to patients can be improved. Conclusion: This study can be used to guide integration of social media with healthcare big data by health facilities in the communities. The study contributes to healthcare workers’ awareness on how social media can possibly be used to improve the services that they provide to the needy. Also, the study will benefit information systems and technologies and academic domains, particularly from the health services’ perspective.

scholarly journals From FAIR data to fair data use: Methodological data fairness in health-related social media research

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110103
Author(s):  
Sabina Leonelli ◽  
Rebecca Lovell ◽  
Benedict W Wheeler ◽  
Lora Fleming ◽  
Hywel Williams
Keyword(s):  
Social Media ◽  
Well Being ◽  
Research Process ◽  
Future Research ◽  
Social Media Data ◽  
Data Practices ◽  
Health Related Research ◽  
Health Related ◽  
Use Of Social Media ◽  
Media Data

The paper problematises the reliability and ethics of using social media data, such as sourced from Twitter or Instagram, to carry out health-related research. As in many other domains, the opportunity to mine social media for information has been hailed as transformative for research on well-being and disease. Considerations around the fairness, responsibilities and accountabilities relating to using such data have often been set aside, on the understanding that as long as data were anonymised, no real ethical or scientific issue would arise. We first counter this perception by emphasising that the use of social media data in health research can yield problematic and unethical results. We then provide a conceptualisation of methodological data fairness that can complement data management principles such as FAIR by enhancing the actionability of social media data for future research. We highlight the forms that methodological data fairness can take at different stages of the research process and identify practical steps through which researchers can ensure that their practices and outcomes are scientifically sound as well as fair to society at large. We conclude that making research data fair as well as FAIR is inextricably linked to concerns around the adequacy of data practices. The failure to act on those concerns raises serious ethical, methodological and epistemic issues with the knowledge and evidence that are being produced.

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