Social media in the infertile community—using a text analysis tool to identify the topics of discussion on the multitude of infertility blogs

Sormunen, Taina; Westerbotn, Margareta; Aanesen, Arthur; Fossum, Bjöörn; Karlgren, Klas

doi:10.1177/17455065211063280

Cited by 4 publications

(1 citation statement)

References 45 publications

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“…Berkovic et al [ 57 ] used Glaser and Strauss's 6 codes for sentimental analysis as a framework for emotional analysis of encoded tweets and applied emoji sentiment ranking to obtain information regarding the emotional content of the tweets. Sormunen et al [ 66 ] used the Gavagai tool, a lexical approach based on a list of sentiment-carrying terms, to quantify the basic emotions of each topic as positive or negative. Milley et al [ 104 ] used RStudio and the sentiment package to determine the overall sentiment of tweets.…”

Section: Resultsmentioning

confidence: 99%

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

Fu¹,

Li²,

Zhou³

et al. 2023

J Med Internet Res

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Background Given the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews focus on the application of social media, and there is a lack of reviews that integrate the methods for analyzing social media information for health care. Objective This scoping review aims to answer the following 4 questions: (1) What types of research have been used to investigate social media for health care, (2) what methods have been used to analyze the existing health information on social media, (3) what indicators should be applied to collect and evaluate the characteristics of methods for analyzing the contents of social media for health care, and (4) what are the current problems and development directions of methods used to analyze the contents of social media for health care? Methods A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted. We searched PubMed, the Web of Science, EMBASE, the Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Library for the period from 2010 to May 2023 for primary studies focusing on social media and health care. Two independent reviewers screened eligible studies against inclusion criteria. A narrative synthesis of the included studies was conducted. Results Of 16,161 identified citations, 134 (0.8%) studies were included in this review. These included 67 (50.0%) qualitative designs, 43 (32.1%) quantitative designs, and 24 (17.9%) mixed methods designs. The applied research methods were classified based on the following aspects: (1) manual analysis methods (content analysis methodology, grounded theory, ethnography, classification analysis, thematic analysis, and scoring tables) and computer-aided analysis methods (latent Dirichlet allocation, support vector machine, probabilistic clustering, image analysis, topic modeling, sentiment analysis, and other natural language processing technologies), (2) categories of research contents, and (3) health care areas (health practice, health services, and health education). Conclusions Based on an extensive literature review, we investigated the methods for analyzing the contents of social media for health care to determine the main applications, differences, trends, and existing problems. We also discussed the implications for the future. Traditional content analysis is still the mainstream method for analyzing social media content, and future research may be combined with big data research. With the progress of computers, mobile phones, smartwatches, and other smart devices, social media information sources will become more diversified. Future research can combine new sources, such as pictures, videos, and physiological signals, with online social networking to adapt to the development trend of the internet. More medical information talents need to be trained in the future to better solve the problem of network information analysis. Overall, this scoping review can be useful for a large audience that includes researchers entering the field.

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Section: Resultsmentioning

confidence: 99%

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

Fu¹,

Li²,

Zhou³

et al. 2023

J Med Internet Res

View full text Add to dashboard Cite

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International attitudes towards medical and planned oocyte cryopreservation

Vagios,

Sun,

Yeh

et al. 2024

J Assist Reprod Genet

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Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review

Zhang,

Fu,

Lai

et al. 2024

J Med Internet Res

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Background The internet community has become a significant source for researchers to conduct qualitative studies analyzing users’ views, attitudes, and experiences about public health. However, few studies have assessed the ethical issues in qualitative research using social media data. Objective This study aims to review the reportage of ethical considerations in qualitative research utilizing social media data on public health care. Methods We performed a scoping review of studies mining text from internet communities and published in peer-reviewed journals from 2010 to May 31, 2023. These studies, limited to the English language, were retrieved to evaluate the rates of reporting ethical approval, informed consent, and privacy issues. We searched 5 databases, that is, PubMed, Web of Science, CINAHL, Cochrane, and Embase. Gray literature was supplemented from Google Scholar and OpenGrey websites. Studies using qualitative methods mining text from the internet community focusing on health care topics were deemed eligible. Data extraction was performed using a standardized data extraction spreadsheet. Findings were reported using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Results After 4674 titles, abstracts, and full texts were screened, 108 studies on mining text from the internet community were included. Nearly half of the studies were published in the United States, with more studies from 2019 to 2022. Only 59.3% (64/108) of the studies sought ethical approval, 45.3% (49/108) mentioned informed consent, and only 12.9% (14/108) of the studies explicitly obtained informed consent. Approximately 86% (12/14) of the studies that reported informed consent obtained digital informed consent from participants/administrators, while 14% (2/14) did not describe the method used to obtain informed consent. Notably, 70.3% (76/108) of the studies contained users’ written content or posts: 68% (52/76) contained verbatim quotes, while 32% (24/76) paraphrased the quotes to prevent traceability. However, 16% (4/24) of the studies that paraphrased the quotes did not report the paraphrasing methods. Moreover, 18.5% (20/108) of the studies used aggregated data analysis to protect users’ privacy. Furthermore, the rates of reporting ethical approval were different between different countries (P=.02) and between papers that contained users’ written content (both direct and paraphrased quotes) and papers that did not contain users’ written content (P<.001). Conclusions Our scoping review demonstrates that the reporting of ethical considerations is widely neglected in qualitative research studies using social media data; such studies should be more cautious in citing user quotes to maintain user privacy. Further, our review reveals the need for detailed information on the precautions of obtaining informed consent and paraphrasing to reduce the potential bias. A national consensus of ethical considerations such as ethical approval, informed consent, and privacy issues is needed for qualitative research of health care using social media data of internet communities.

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Social media in the infertile community—using a text analysis tool to identify the topics of discussion on the multitude of infertility blogs

Cited by 4 publications

References 45 publications

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

International attitudes towards medical and planned oocyte cryopreservation

Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review

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