Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Malhotra, Kashish; Kempegowda, Punith

doi:10.2196/49220

Cited by 6 publications

(3 citation statements)

References 40 publications

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“…Though the challenge was debunked as a hoax, concerned parents still viewed videos about this topic on YouTube as reported in prior works in this field [61,62]. In an analysis of YouTube videos about polycystic ovarian syndrome (PCOS), Malhotra et al [63] analyzed comments using the Benjamini-Hochberg Procedure and sentiments with SentiStrength. The analysis revealed that men and women had different feelings about PCOS with men being more heavily associated with misinformation about home remedies or a cure.…”

Section: Review Of Misinformation Analysis On Youtubementioning

confidence: 99%

Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis

Thakur,

Cui,

Knieling

et al. 2024

Computation

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The work presented in this paper makes multiple scientific contributions with a specific focus on the analysis of misinformation about COVID-19 on YouTube. First, the results of topic modeling performed on the video descriptions of YouTube videos containing misinformation about COVID-19 revealed four distinct themes or focus areas—Promotion and Outreach Efforts, Treatment for COVID-19, Conspiracy Theories Regarding COVID-19, and COVID-19 and Politics. Second, the results of topic-specific sentiment analysis revealed the sentiment associated with each of these themes. For the videos belonging to the theme of Promotion and Outreach Efforts, 45.8% were neutral, 39.8% were positive, and 14.4% were negative. For the videos belonging to the theme of Treatment for COVID-19, 38.113% were positive, 31.343% were neutral, and 30.544% were negative. For the videos belonging to the theme of Conspiracy Theories Regarding COVID-19, 46.9% were positive, 31.0% were neutral, and 22.1% were negative. For the videos belonging to the theme of COVID-19 and Politics, 35.70% were positive, 32.86% were negative, and 31.44% were neutral. Third, topic-specific language analysis was performed to detect the various languages in which the video descriptions for each topic were published on YouTube. This analysis revealed multiple novel insights. For instance, for all the themes, English and Spanish were the most widely used and second most widely used languages, respectively. Fourth, the patterns of sharing these videos on other social media channels, such as Facebook and Twitter, were also investigated. The results revealed that videos containing video descriptions in English were shared the highest number of times on Facebook and Twitter. Finally, correlation analysis was performed by taking into account multiple characteristics of these videos. The results revealed that the correlation between the length of the video title and the number of tweets and the correlation between the length of the video title and the number of Facebook posts were statistically significant.

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Section: Review Of Misinformation Analysis On Youtubementioning

confidence: 99%

Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis

Thakur,

Cui,

Knieling

et al. 2024

Computation

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show abstract

“…Common misconceptions, such as PCOS being solely a reproductive issue or a consequence of lifestyle choices, need to be debunked through accurate and accessible information. Empowering individuals with knowledge is crucial to dispelling myths and instrumental in fostering a sense of agency and control over their health [10].…”

Section: The Need To Dispel Myths and Misinformationmentioning

confidence: 99%

The Invisible Struggle: The Psychosocial Aspects of Polycystic Ovary Syndrome

Dewani,

Karwade,

Mahajan

2023

Cureus

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Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder with multifaceted manifestations, affecting both physiological and psychosocial aspects of affected individuals. This abstract provides a succinct overview of the hormonal underpinnings in the pathogenesis of PCOS, focusing on altered luteinizing hormone (LH) action, insulin resistance, and hyperandrogenism. A prevailing theory suggests that insulin resistance exacerbates hyperandrogenism by influencing the synthesis of sex hormone-binding globulin and increasing androgen production from adrenal and ovarian sources. PCOS diagnosis relies on specific criteria related to hyperandrogenism, ovulatory dysfunction, and the presence of polycystic ovaries. Beyond its physical symptoms, PCOS profoundly impacts women's mental health and quality of life. The prevalence of PCOS underscores the urgency of understanding its hormonal intricacies. Insulin resistance and hyperandrogenism, particularly in the context of sex hormone-binding globulin suppression, play a central role in PCOS pathogenesis. Recognizing the key role of hormones, particularly insulin resistance and hyperandrogenism, provides a foundation for targeted interventions and treatment strategies. A comprehensive approach to PCOS must consider both its physiological and psychosocial dimensions to address the challenges faced by affected individuals.

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“…Increased use of social media correlates with a higher probability of individuals interacting with different forms of content, including deceptive or inaccurate information [ 32 ]. Exposure to this digital information environment can modify a person’s beliefs and decision-making processes surrounding health care, potentially resulting in unmet need for medical care [ 33 34 ].…”

Section: Introductionmentioning

confidence: 99%

Variations in Unmet Health Care Needs by Perceptions of Social Media Health Mis- and Disinformation, Frequency of Social Media Use, Medical Trust, and Medical Care Discrimination: Cross-Sectional Study

Stimpson,

Park,

Wilson

et al. 2024

JMIR Public Health Surveill

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Background: Unmet need for health care is defined as an individual choosing to postpone or completely avoid necessary medical treatment, despite have a need for health care, which can worsen current conditions or contribute to new health problems. The emerging infodemic can be a barrier that prevents people from accessing quality health information that could contribute to lower levels of seeking medical care when needed. Objective:We evaluated the association between perceptions of health mis-and disinformation on social media and unmet need for health care. In addition, we evaluated mechanisms for this relationship, including frequency of social media use, medical trust, and medical care discrimination.Methods: Data from 3,964 active adult social media users responding to the 2022 Health Information National Trends Survey 6 (HINTS 6), a nationally representative survey, were analyzed. The outcome was unmet need for medical care, defined as delaying or not getting medical care the participant needed. The predictor variables were perception of social media health middisinformation, frequency of social media use, level of trust of the healthcare system, and perceived racial/ethnic discrimination when getting health care.Results: Multivariable logistic regression models indicated that perception of substantial social media health mis-and disinformation (OR 1.40, 95% CI 1.07-1.82), daily use of social media (OR 1.34, 95% CI 1.01-1.79), low medical trust (OR 1.46, 95% CI 1.06-2.01), and perceived discrimination (OR 2.24, 95% CI 1.44-3.50) were significantly associated with a higher likelihood of unmet need for medical care. Unmet need among adults who did not use social media daily and who did not perceive substantial mis-and disinformation (24%; 95% CI 19%-30%) was lower compared to daily social media users that perceived substantial mis-and disinformation (38% 95% CI 32%-43%). Adults who perceived substantial mis-and disinformation and had low trust of healthcare had the highest probability of reporting unmet need (43% 95% CI 38%-49%) compared to the other three groups. Adults who perceived substantial mis-and disinformation and experienced medical care discrimination had a statistically significant higher probability of reporting unmet need (51% 95% CI 40%-62%) compared to adults who did not experience medical care discrimination and did not perceive substantial mis-and disinformation (29% 95% CI 26%-32%).Conclusions: Unmet need for medical care was higher among persons who perceived a substantial degree of social media misdisinformation, especially among persons who use social media daily, do not trust the healthcare system, and experienced racial/ethnic discrimination when getting health care. To counter the negative effects of social media mis-and disinformation on unmet need for health care, public health messaging must focus on daily social media users and improving trust and reducing structural racism in the healthcare system.

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Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study

Cited by 6 publications

References 40 publications

Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis

Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis

The Invisible Struggle: The Psychosocial Aspects of Polycystic Ovary Syndrome

Variations in Unmet Health Care Needs by Perceptions of Social Media Health Mis- and Disinformation, Frequency of Social Media Use, Medical Trust, and Medical Care Discrimination: Cross-Sectional Study

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