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Related Experiment Video

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Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

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Published on: September 28, 2022

YouTube and science: models for research impact.

Abdul Rahman Shaikh¹, Hamed Alhoori¹, Maoyuan Sun¹

¹Northern Illinois University, DeKalb, USA.

|December 19, 2022

Summary

This summary is machine-generated.

Research articles, especially in medicine and biochemistry, are increasingly cited in YouTube videos. Higher social media and news mentions predict video citations, boosting public engagement with science.

Keywords:

Altmetrics Machine learning MetaScience Research impact Scholarly communication Science of science Scientometrics Social media Societal impact YouTube

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Area of Science:

Bibliometrics
Scientific Communication
Digital Media Analysis

Background:

Video communication, particularly on platforms like YouTube, has surged, with a notable rise in research articles being cited.
The precise relationship between academic publications and video content remains unclear, necessitating further investigation.

Purpose of the Study:

To investigate the connection between research articles and YouTube video citations.
To analyze factors influencing video citations of research and the subsequent popularity of both articles and videos.
To develop predictive models for citation and popularity in this emerging intersection of science and social media.

Main Methods:

Creation of novel datasets linking YouTube videos with research article mentions across online platforms.
Application of statistical analysis, data visualization, and machine learning models.
Prediction of research article video citation, article popularity, and video popularity using developed models.

Main Results:

Most cited articles in videos belong to medicine and biochemistry fields.
Predictive models achieved high accuracy, with F1 scores ranging from 80% to 94%.
Research articles with greater social media (e.g., tweets) and news coverage are more likely to be cited in videos.
Video views are a significant factor in predicting citations and enhancing research article popularity and public engagement.

Conclusions:

A strong link exists between online scholarly attention (tweets, news) and video citations.
Video engagement metrics are crucial for understanding and predicting research impact and public science communication.
This study provides insights into leveraging video platforms for broader dissemination and engagement with scientific research.