An analysis of misleading YouTube videos on urological conditions: what to do about the danger of spreading misinformation of the YouTube videos?

Selvi, İsmail; Baydilli, Numan

doi:10.1007/s00345-021-03623-7

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…An analysis of videos about urological conditions on YouTube was performed by Selvi et al [60]. The results showed that the percentage of reputable videos was only 77.2% and people still viewed a considerable number of videos containing misinformation.…”

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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Is social media reliable as a source of information on Peyronie’s disease treatment?

Baydilli

Selvi

2021

Int J Impot Res

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YouTube™ as a source of information on prostatitis: a quality and reliability analysis

et al. 2023

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It was aimed to analyze the YouTube™ videos on prostatitis regarding their source, content, and information included. The term "prostatitis" was searched by relevance and the rst 200 video links and features were recorded. Using the 5-point modi ed DISCERN tool, Global Quality Score (GQS), and the Journal of American Medical Association (JAMA) score, quality and reliability of the information were assessed by two urologists. The most common source of upload was doctors/medical institutions (33%), and majority of the content was about general information (27%). The mean modi ed DISCERN, GQS and JAMA scores were 3.24, 3.25 and 2.17, respectively. These scores were correlated with each other and signi cantly higher in videos uploaded by doctors/medical institutions. Of the videos, 25.5% were poor, 30.5% were moderate, and 44% were high-quality. High-quality videos were signi cantly shorter than poor qualities. Poor-quality videos had the highest view ratio. The most of YouTube™ videos on prostatitis are short and high-quality videos uploaded by doctors/medical institutions. However, these videos did not reach the view ratios they deserved.

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An analysis of misleading YouTube videos on urological conditions: what to do about the danger of spreading misinformation of the YouTube videos?

Cited by 3 publications

References 4 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

Is social media reliable as a source of information on Peyronie’s disease treatment?

YouTube™ as a source of information on prostatitis: a quality and reliability analysis

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