Quality of information on YouTube about artificial intelligence in dental radiology

Rage against the machine? Framing societal threat and efficacy in YouTube videos about artificial intelligence

Artificial intelligence (AI) has become a part of the mainstream public discourse beyond expert communities about its risks, benefits, and need for regulation. In particular, since 2014, the news media have intensified their coverage of this emerging technology and its potential impact on most domains of society. Although many studies have analyzed traditional media coverage of AI, analyses of social media, especially video-sharing platforms, are rare. In addition, research from a risk communication perspective remains scarce, despite the widely recognized potential threats to society from many AI applications. This study aims to detect recurring patterns of societal threat/efficacy in YouTube videos, analyze their main sources, and compare detected frames in terms of reach and response. Using a theoretical framework combining framing and risk communication, the study analyzed the societal threat/efficacy attributed to AI in easily accessible YouTube videos published in a year when public attention to AI temporarily peaked (2018). Four dominant AI frames were identified: the balanced frame, the high-efficacy frame, the high-threat frame, and the no-threat frame. The balanced and no-threat frames were the most prevalent, with predominantly positive and neutral AI narratives that neither adequately address the risks nor the necessary societal response from a normative risk communication perspective. The results revealed the specific risks and benefits of AI that are most frequently addressed. Video views and user engagement with AI videos were analyzed. Recommendations for effective AI risk communication and implications for risk governance were derived from the results.

YouTube as a source of information about rubber dam: quality and content analysis

Objectives

This study aimed to evaluate the content, quality and demographics of YouTube videos about rubber dam as an information source for clinicians and dental students.

Materials and Methods

"Rubber dam," "rubber dam application," "dental isolation," "rubber dam isolation," and "dental dam" were determined as keywords for the detection of YouTube videos related to rubber dam. Seventy 3 videos were evaluated and a total of 34 videos met the inclusion criteria. All selected videos were evaluated according to 8 parameters. The videos were scored 1 if the videos contained information about the selected parameter, but if the videos did not contain enough information, they were scored 0. The data were statistically analyzed with the analysis of variance and post hoc Tukey test (p < 0.05).

Results

We found that 41% of the videos have poor, 47% have moderate, and 12% have good information. There is a statistically significant difference in time between poor and good information content (p < 0.05). There is a statistically significant difference between the poor and good information in the video information and quality index 1.

Conclusions

Rubber dam-related videos available on YouTube are generally moderately informed and insufficient. YouTube is currently not sufficient as a source of information for patients and clinicians at the moment. The YouTube platform should be developed and enriched with quality information on current and dental issues.

Analyses of Youtube Videos on Botox Treatment of Gummy Smile

OBJECTIVE

The purpose of this study was to determine the content quality and accuracy of the YouTube videos about the Botox application during gummy smile treatment and to analyze the efficacy of these videos in informing the healthcare professionals and the patients.

MATERIALS AND METHODS

The first 200 videos resulting from the search on YouTube by using the keywords "gummy smile/Botox," which were determined by Google Trends, were evaluated in the study. One hundred fourteen out of these 200 videos were included in the study. The videos were calculated using these descriptive features. A content scale consisting of 8 categories was used to determine the content levels of the videos and the video information and quality index scale was used to determine the quality level.

RESULTS

The most mentioned subjects in the videos were "Description" of the gummy smile and Botox treatment (71.9%), "Advantage" of Botox treatment (51.8%), "Procedure" (48.2%), and "Prognosis" (47.4%). The "Contraindication" was mentioned rarely (2.6%). A statistically significant difference was found between the videos with different content levels in terms of Description, Advantage, Indication, Procedure, Complication, Prognosis, and Cost. Likewise, there was a statistically significant difference between videos in distinct content level groups in terms of video information and quality index total score.

CONCLUSIONS

The quality of the YouTube videos about Botox applications in gummy smile treatment was found to be low in general. It is important for the physician who will perform the procedure to explain the procedure to the patients in detail. In addition, YouTube was determined to be insufficient for accessing high-quality information for students, assistants, and specialist physicians.