Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: May 3, 2024
Date Accepted: Oct 28, 2024

The final, peer-reviewed published version of this preprint can be found here:

Quality of Pancreatic Neuroendocrine Tumor Videos Available on TikTok and Bilibili: Content Analysis

Niu Z, Hao Y, Yang F, Jiang Q, Jiang Y, Zhang S, Song X, Chang H, Zhou X, Zhu H, Gao H, Lu J

Quality of Pancreatic Neuroendocrine Tumor Videos Available on TikTok and Bilibili: Content Analysis

JMIR Form Res 2024;8:e60033

DOI: 10.2196/60033

PMID: 39661988

PMCID: 11655045

A quality analysis of pancreatic neuroendocrine tumors videos available on TikTok and Bilibili: Content Analysis

  • Zheyu Niu; 
  • Yijie Hao; 
  • Faji Yang; 
  • Qirong Jiang; 
  • Yupeng Jiang; 
  • Shizhe Zhang; 
  • Xie Song; 
  • Hong Chang; 
  • Xu Zhou; 
  • Huaqiang Zhu; 
  • Hengjun Gao; 
  • Jun Lu

ABSTRACT

Background:

It is an innovative and highly efficient approach for disseminating knowledge about diseases through concise videos on various platforms. However, it remains uncertain whether the pancreatic neuroendocrine tumors (pNET) related videos available on current short video platforms can effectively convey accurate and impactful information to the general public. Our study aims to evaluate the information quality of Chinese short videos on pNET shared on the TikTok and Bilibili short video-sharing platforms.

Objective:

Our study aims to extensively analyze the quality of pNET-related videos on TikTok and Bilibili, intending to enhance the development of social media to provide the general public with more comprehensive and suitable avenues for accessing pNET-related information.

Methods:

A total of 168 qualifying videos pertaining to pNET were scrutinized from the video-sharing platforms Bilibili and TikTok for evaluation and scrutiny. Initially, the fundamental information conveyed in the videos was documented. Subsequently, we discerned the source and content type of each video. Following that, the Global Quality Scale (GQS) and Modified DISCERN (mDISCERN) were employed to appraise the educational value and quality of each video. A comparative evaluation was conducted on the videos obtained from these two platforms.

Results:

The number of pNET videos has seen a significant increase since 2020, with 9 videos in 2020, 19 videos in 2021, 29 videos in 2022, and 106 videos in 2023. There was no significant improvement in the mean GQS and mDISCERN scores from 2020 to 2023, which were 3.22 and 3.00 in 2020, 3.33 and 2.94 in 2021, 2.83 and 2.79 in 2022, and 2.78 and 2.94 in 2023, respectively. The average quality scores of videos on Bilibili and Tiktok were comparable, with GQS and mDISCERN scores of 2.98 vs 2.77 and 2.82 vs 3.05, respectively. The source and format of the videos remain independent factors affecting the quality scores. Videos that are uploaded by professionals (HR = 7.02, P = .002) and recorded in specialized popular science formats (HR = 12.45, P < .001) tend to exhibit superior quality.

Conclusions:

This study demonstrates that the number of short videos has increased dramatically in recent years, but the video quality has not improved significantly. The comprehensive analysis shows that source and format of videos are independent factors affecting video quality, which provides potential improvement measures for the improvement of short video quality.


 Citation

Please cite as:

Niu Z, Hao Y, Yang F, Jiang Q, Jiang Y, Zhang S, Song X, Chang H, Zhou X, Zhu H, Gao H, Lu J

Quality of Pancreatic Neuroendocrine Tumor Videos Available on TikTok and Bilibili: Content Analysis

JMIR Form Res 2024;8:e60033

DOI: 10.2196/60033

PMID: 39661988

PMCID: 11655045

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.