Entering the Misinformation Age: Quality and Reliability of YouTube for Patient Information on Liposuction

Chawla, Sahil; Ding, Jeffrey; Mazhar, Leena; Khosa, Faisal

doi:10.1177/22925503211064382

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…The eld of breast reconstruction outcomes research would bene t from multidisciplinary perspectives to improve quality and impact [42]. Moreover, it is suggested by Chawla and colleagues that surgeons discuss online information with their patients, and that both surgeons and patients would bene t from "an analysis of educational quality and reliability of such online content" [43,44]. Given the breadth of online content about breast reconstruction, an open dialogue between patient and physician about online information-seeking could help to facilitate patient decision-making, allow for the patient to feel more involved in the process, and potentially develop a deeper trust and rapport with their surgeon.…”

Section: Data Collectionmentioning

confidence: 99%

How reliable are post-mastectomy breast reconstruction videos on YouTube?

Morena,

Ben-Zvi,

Hayman

et al. 2023

JCO Oncology Practice

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305 Background: Social media are a significant source of information for young women with breast cancer (YWBC) undergoing post-mastectomy breast reconstruction (PMBR). The emphasis on visual storytelling and building community in online spaces renders YouTube (YT) to be a common platform for discussions of BR. This study aims to assess the quality of YT videos about PMBR, identify themes related to the PMBR experience, and quantify perceptions of BR as an option PM. Methods: YT was searched incognito with terms “young women breast cancer reconstruction” in 08/2022, in order from most to least viewed. Title, upload date, length, poster identity, number of likes and comments were collected. The Patient Education Materials Assessment Tool for audiovisual materials (PEMAT A/V) was used to evaluate understandability and actionability. DISCERN assessed quality and reliability. Presence of sponsorship, intended audience, patient and healthcare professional narratives, and perceptions of PMBR were collected. Reviewers noted whether PMBR was shown and how. Themes were collected inductively and deductively for thematic analysis. Results: 193 videos were identified. Mean video length was 14.6 minutes (SD 20.0 min). 87.1% included sponsorships. 95.9% of videos were posted by an organization. 60.6% were information-based; 45.6% experience-based. Mean PEMAT scores for understandability and actionability were 71.3% (SD 13.4) and 35.7% (SD 41.8), respectively. Mean DISCERN was 2.6/5 (SD 1.2). Patient narrative was present in 52.6% and healthcare professionals’ in 68.4%. PMBR was visually presented 22.8% of the time. 13.5% of videos explicitly recommended PMBR. 2.6% explicitly discouraged it. Patients (77.7%) are the majority of the intended audience. Most common deductively identified themes included treatment (87.1%), family relationship (17.1%), motherhood ( 15.5%), fertility (11.9%). Inductively identified subthemes included differentiating between various options for PMBR surgery, BRCA genetic testing, psychosocial effects of breast cancer and PMBR, and recovery from surgery. Conclusions: YT is a platform wherein various PMBR options are widely discussed and explained. PMBR videos are highly understandable but have moderate levels of actionability, quality, and reliability. Videos are highly sponsored, demonstrating significant institutional bias. Themes are overwhelmingly treatment and surgery-based. Personal themes were present but not dominant.[Table: see text]

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Section: Data Collectionmentioning

confidence: 99%

How reliable are post-mastectomy breast reconstruction videos on YouTube?

Morena,

Ben-Zvi,

Hayman

et al. 2023

JCO Oncology Practice

View full text Add to dashboard Cite

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“…YouTube generates filter bubbles, whereby users are subjected to repeated, uniform, and often biased material, hence reinforcing prejudices and misunderstandings and facilitating the spread of misinformation [11,12]. As a result, analysis of healthcare-related misinformation on YouTube has been widely investigated in the last few years [13][14][15][16][17]. In view of the COVID-19 pandemic and the associated widespread dissemination of misinformation about this pandemic on YouTube, the work presented in this paper aims to perform a comprehensive analysis and investigation of the same.…”

Section: Introductionmentioning

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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