scholarly journals Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature

2021 ◽  
Vol 9 ◽  
Author(s):  
Andy Wai Kan Yeung ◽  
Maria Kletecka-Pulker ◽  
Fabian Eibensteiner ◽  
Petra Plunger ◽  
Sabine Völkl-Kernstock ◽  
...  
Keyword(s):  
Social Media ◽  
Professional Education ◽  
Scientific Literature ◽  
Well Being ◽  
The United States ◽  
Quantitative Information ◽  
Related Research ◽  
Health Related Research ◽  
Versatile Tool ◽  
Health Related

Background: Twitter, representing a big social media network, is broadly used for the communication of health-related information. In this work, we aimed to identify and analyze the scientific literature on Twitter use in context of health by utilizing a bibliometric approach, in order to obtain quantitative information on dominant research topics, trending themes, key publications, scientific institutions, and prolific researchers who contributed to this scientific area.Methods: Web of Science electronic database was searched to identify relevant papers on Twitter and health. Basic bibliographic data was obtained utilizing the “Analyze” function of the database. Full records and cited references were exported to VOSviewer, a dedicated bibliometric software, for further analysis. A term map and a keyword map were synthesized to visualize recurring words within titles, abstracts and keywords.Results: The analysis was based on the data from 2,582 papers. The first papers were published in 2009, and the publication count increased rapidly since 2015. Original articles and reviews were published in a ratio of 10.6:1. The Journal of Medical Internet Research was the top journal, and the United States had contributions to over half (52%) of these publications, being the home-country of eight of the top ten most productive institutions. Keyword analysis identified six topically defined clusters, with professional education in healthcare being the top theme cluster (consisting of 66 keywords). The identified papers often investigated Twitter together with other social media, such as YouTube and Facebook.Conclusions: A great diversity of themes was found in the identified papers, including: professional education in healthcare, big data and sentiment analysis, social marketing and substance use, physical and emotional well-being of young adults, and public health and health communication. Our quantitative analysis outlines Twitter as both, an increasingly popular data source, and a highly versatile tool for health-related research.

scholarly journals Comprehensive scoping review of health research using social media data

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022931 ◽  
Author(s):  
Joanna Taylor ◽  
Claudia Pagliari
Keyword(s):  
Public Health ◽  
Social Media ◽  
Scoping Review ◽  
Ethical Issues ◽  
Social Media Data ◽  
Related Research ◽  
Health Related Research ◽  
Health Related ◽  
Google Search ◽  
Media Data

IntroductionThe rising popularity of social media, since their inception around 20 years ago, has been echoed in the growth of health-related research using data derived from them. This has created a demand for literature reviews to synthesise this emerging evidence base and inform future activities. Existing reviews tend to be narrow in scope, with limited consideration of the different types of data, analytical methods and ethical issues involved. There has also been a tendency for research to be siloed within different academic communities (eg, computer science, public health), hindering knowledge translation. To address these limitations, we will undertake a comprehensive scoping review, to systematically capture the broad corpus of published, health-related research based on social media data. Here, we present the review protocol and the pilot analyses used to inform it.MethodsA version of Arksey and O’Malley’s five-stage scoping review framework will be followed: (1) identifying the research question; (2) identifying the relevant literature; (3) selecting the studies; (4) charting the data and (5) collating, summarising and reporting the results. To inform the search strategy, we developed an inclusive list of keyword combinations related to social media, health and relevant methodologies. The frequency and variability of terms were charted over time and cross referenced with significant events, such as the advent of Twitter. Five leading health, informatics, business and cross-disciplinary databases will be searched: PubMed, Scopus, Association of Computer Machinery, Institute of Electrical and Electronics Engineers and Applied Social Sciences Index and Abstracts, alongside the Google search engine. There will be no restriction by date.Ethics and disseminationThe review focuses on published research in the public domain therefore no ethics approval is required. The completed review will be submitted for publication to a peer-reviewed, interdisciplinary open access journal, and conferences on public health and digital research.

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.

From Research to Practice: Is Rethinking Architectural Education the Remedy?

2020 ◽  
pp. 193758672095352
Author(s):  
Tenna Doktor Olsen Tvedebrink ◽  
Andrea Jelić
Keyword(s):  
Well Being ◽  
Architectural Education ◽  
Research To Practice ◽  
Theoretical Frameworks ◽  
Research Knowledge ◽  
Related Research ◽  
Health Related Research ◽  
Health Related ◽  
Design Skills ◽  
User Perspectives

Objectives: Our aim is to investigate how a new master studies course “Architecture, Health, and Well-being” (AHW) supports development of students’ skills in understanding and assessing health-related research as well as applying research-based knowledge through unfolding of user perspectives in their design projects. Background: With the growing focus on health-related research in Danish design practice, knowing how to translate research findings into research-informed design strategies becomes a preferable, if not (yet) a critical, skill. This calls for architecture educations to reconsider their graduate profiles and teaching curricula, thereby addressing research-to-practice gap. Method: Based on design project hand-ins, we evaluate whether students participating in the AHW course demonstrate greater sensibility toward user experiences and research-based design (RBD) in their master thesis projects, compared to students attending a more traditional architectural tectonic track. Evaluation relates to the use of scientific literature and theoretical frameworks on topics like “healing architecture” and applied user-oriented methods (interviews, personas, demographics). Results: Our explorative analysis indicates that students have the skills to make a detailed user analysis when it comes to well-defined user groups in a highly specialized building (e.g., hospice patients and staff). The extent to which health-related research and user perspectives are applied in the design process seems to be primarily driven by thematic focus of the project (welfare buildings in contrast to housing). Conclusion: Despite the challenges in teaching students to assess and apply academic literature, a RBD paradigm in architectural education can help bridge emerging research knowledge with design skills and professional competencies.

scholarly journals A survey of U.S. public perspectives on facial recognition technology and facial imaging data practices in health and research contexts

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257923
Author(s):  
Sara H. Katsanis ◽  
Peter Claes ◽  
Megan Doerr ◽  
Robert Cook-Deegan ◽  
Jessica D. Tenenbaum ◽  
...  
Keyword(s):  
Medical Records ◽  
Facial Recognition ◽  
The United States ◽  
Related Research ◽  
Data Practices ◽  
Opt Out ◽  
Health Related Research ◽  
Health Related ◽  
Facial Images ◽  
Precision Health

Facial imaging and facial recognition technologies, now common in our daily lives, also are increasingly incorporated into health care processes, enabling touch-free appointment check-in, matching patients accurately, and assisting with the diagnosis of certain medical conditions. The use, sharing, and storage of facial data is expected to expand in coming years, yet little is documented about the perspectives of patients and participants regarding these uses. We developed a pair of surveys to gather public perspectives on uses of facial images and facial recognition technologies in healthcare and in health-related research in the United States. We used Qualtrics Panels to collect responses from general public respondents using two complementary and overlapping survey instruments; one focused on six types of biometrics (including facial images and DNA) and their uses in a wide range of societal contexts (including healthcare and research) and the other focused on facial imaging, facial recognition technology, and related data practices in health and research contexts specifically. We collected responses from a diverse group of 4,048 adults in the United States (2,038 and 2,010, from each survey respectively). A majority of respondents (55.5%) indicated they were equally worried about the privacy of medical records, DNA, and facial images collected for precision health research. A vignette was used to gauge willingness to participate in a hypothetical precision health study, with respondents split as willing to (39.6%), unwilling to (30.1%), and unsure about (30.3%) participating. Nearly one-quarter of respondents (24.8%) reported they would prefer to opt out of the DNA component of a study, and 22.0% reported they would prefer to opt out of both the DNA and facial imaging component of the study. Few indicated willingness to pay a fee to opt-out of the collection of their research data. Finally, respondents were offered options for ideal governance design of their data, as “open science”; “gated science”; and “closed science.” No option elicited a majority response. Our findings indicate that while a majority of research participants might be comfortable with facial images and facial recognition technologies in healthcare and health-related research, a significant fraction expressed concern for the privacy of their own face-based data, similar to the privacy concerns of DNA data and medical records. A nuanced approach to uses of face-based data in healthcare and health-related research is needed, taking into consideration storage protection plans and the contexts of use.

scholarly journals Mentored Training to Increase Diversity among Faculty in the Biomedical Sciences: The NHLBI Summer Institute Programs to Increase Diversity (SIPID) and the Programs to Increase Diversity among Individuals Engaged in Health-related Research (PRIDE)

2017 ◽  
Vol 27 (3) ◽  
pp. 249 ◽  
Author(s):  
Treva K. Rice ◽  
Donna B. Jeffe ◽  
Josephine E.A. Boyington ◽  
Jared B. Jobe ◽  
Victor G. Davila-Roman ◽  
...  
Keyword(s):  
Career Development ◽  
Junior Faculty ◽  
The United States ◽  
Grant Writing ◽  
Summer Institute ◽  
Biomedical Sciences ◽  
Related Research ◽  
Research Education ◽  
Health Related Research ◽  
Health Related

<p class="Pa5"><strong>Objective: </strong>To report baseline character­istics of junior-level faculty participants in the Summer Institute Programs to Increase Diversity (SIPID) and the Programs to In­crease Diversity among individuals engaged in Health-Related Research (PRIDE), which aim to facilitate participants’ career devel­opment as independent investigators in heart, lung, blood, and sleep research.</p><p class="Pa5"><strong>Design and Setting: </strong>Junior faculty from groups underrepresented in the biomedical-research workforce attended two, 2-3 week, annual summer research-education programs at one of six sites. Programs provided didactic and/or laboratory courses, workshops to develop research, writing and career-development skills, as well as a mentoring component, with regular contact maintained via phone, email and webinar conferences. Between summer institutes, trainees participated in a short mid-year meeting and an annual scientific meeting. Participants were surveyed during and after SIPID/PRIDE to evaluate program compo­nents.</p><p class="Pa5"><strong>Participants: </strong>Junior faculty from under­represented populations across the United States and Puerto Rico participated in one of three SIPID (2007-2010) or six PRIDE programs (2011-2014).</p><p class="Pa5"><strong>Results: </strong>Of 204 SIPID/PRIDE participants, 68% were female; 67% African American and 27% Hispanic/Latino; at enrollment, 75% were assistant professors and 15% instructors, with most (96%) on non-tenure track. Fifty-eight percent had research doctorates (PhD, ScD) and 42% had medi­cal (MD, DO) degrees. Mentees’ feedback about the program indicated skills develop­ment (eg, manuscript and grant writing), access to networking, and mentoring were the most beneficial elements of SIPID and PRIDE programs. Grant awards shifted from primarily mentored research mechanisms to primarily independent investigator awards after training.</p><p class="Pa7"><strong> Conclusions: </strong>Mentees reported their career development benefited from SIPID and PRIDE participation.</p><p class="Pa7"><em>Ethn Dis. </em>2017;27(3):249-256; doi:10.18865/ed.27.3.249</p>

scholarly journals Public feedback on a proposed statewide virtual translational research community

2019 ◽  
Vol 4 (5) ◽  
pp. 416-424 ◽  
Author(s):  
Milton (Mickey) Eder ◽  
Christi A. Patten ◽  
Tabetha A. Brockman ◽  
Deborah Hendricks ◽  
Miguel Valdez-Soto ◽  
...  
Keyword(s):  
Social Media ◽  
Translational Research ◽  
Virtual Communities ◽  
P Value ◽  
Translational Science ◽  
Cross Sectional ◽  
Related Research ◽  
Health Related Research ◽  
Health Related ◽  
Survey Responses

AbstractIntroduction:Researchers have explored using the internet and social media to recruit participants to specific research projects. Less systematic work has been done to inform the engagement of large populations in virtual communities to advance clinical and translational science. We report on our first step to use social media to engage Minnesota residents by studying the willingness of participants to engage in a virtual (Facebook) community about the concepts of health and health-related research.Methods:Data were collected at the 2018 Minnesota State Fair using a cross-sectional, 46-item survey with assessment including sociodemographics and willingness to engage in a Facebook group for health-related research. Quantitative analysis included univariate, bivariate, and multivariate analyses. Content analysis was used to generate themes from open-ended survey responses.Results:Five hundred people completed the survey; after data cleaning, 418 participant responses informed this report. A majority were younger than age 50 (73%), female (66%), and married/partnered (54%). Overall, 46% of participants agreed/strongly agreed they are willing to join the Facebook group. Multivariate logistic regression identified social media use over the past 6 months as the sole variable independently associated with willingness to join the Facebook group (once a day vs. never or rarely OR = 1.82 (0.86, 3.88), several hours a day vs. never or rarely OR = 2.17 (1.17, 4.02, overall p-value 0.048).Conclusion:Facebook holds potential for reaching a broader community, democratizing access to and engagement with clinical and translational research. Social media infrastructure and content could be disseminated to other institutions with Clinical and Translational Science Awards.

scholarly journals Stand against anti-Asian racial discrimination during COVID-19: A call for action

2020 ◽  
pp. 002087282097061
Author(s):  
Qin Gao ◽  
Xiaofang Liu
Keyword(s):  
United States ◽  
Social Media ◽  
Racial Discrimination ◽  
Asian Americans ◽  
Well Being ◽  
Political Rhetoric ◽  
The United States ◽  
Psychological Well Being ◽  
Negative Impacts

Racial discrimination against people of Chinese and other Asian ethnicities has risen sharply in number and severity globally amid the COVID-19 pandemic. This rise has been especially rapid and severe in the United States, fueled by xenophobic political rhetoric and racist language on social media. It has endangered the lives of many Asian Americans and is likely to have long-term negative impacts on the economic, social, physical, and psychological well-being of Asian Americans. This essay reviews the prevalence and consequences of anti-Asian racial discrimination during COVID-19 and calls for actions in practice, policy, and research to stand against it.

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