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      Exploring the YouTube science communication gender gap: A sentiment analysis

      1 , 1
      Public Understanding of Science
      SAGE Publications

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          Abstract

          YouTube has become the second most popular web search engine (see Alexa.com ) and the primary website for individuals and organisations to freely distribute video content. Popularity statistics indicate that Science, Technology, Engineering and Mathematics-related content is of significant interest to YouTube audiences, yet analysis of the 391 most popular science, engineering and mathematics-themed channels reveals a conspicuous absence of female communicators, with the hosts of just 32 of these channels presenting as female. To help understand potential causes of this gap, analysis was conducted on popularity indicators and audience sentiments of 450 videos from 90 Science, Technology, Engineering and Mathematics-related channels. Female hosted channels were found to accumulate more comments per view, and significantly higher proportions of appearance, hostile, critical/negative and sexist/sexual commentary.

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          Most cited references27

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          The Matthew Matilda Effect in Science

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            The Matilda Effect in Science Communication: An Experiment on Gender Bias in Publication Quality Perceptions and Collaboration Interest

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              Inequality quantified: Mind the gender gap.

              Helen Shen (2013)
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                Author and article information

                Journal
                Public Understanding of Science
                Public Underst Sci
                SAGE Publications
                0963-6625
                1361-6609
                July 05 2018
                July 05 2018
                : 096366251878665
                Affiliations
                [1 ]The Australian National University, Australia
                Article
                10.1177/0963662518786654
                29974815
                74cb7109-1ac1-409e-830f-cf57c2b956a4
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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