Covid-19: análisis métrico de vídeos y canales de comunicación en YouTube // Covid-19: metric analysis of videos and communication channels on YouTube

Orduña-Malea, Enrique, Font-Julián, Cristina I. and Ontalba-Ruipérez, José-Antonio Covid-19: análisis métrico de vídeos y canales de comunicación en YouTube // Covid-19: metric analysis of videos and communication channels on YouTube. Profesional de la información, 2020, vol. 29, n. 4. [Journal article (Unpaginated)]

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English abstract

The objective of this work is to determine the volume of videos on Covid-19 published and disseminated through YouTube, and directly or indirectly related to the Spanish national territory, to characterize the impact of those videos (in terms of views, likes and comments received), and finally to categorize the channels through which the videos have been broadcast. For this, 39,531 videos published between January 1 and April 30, 2020 have been analysed. The results show that the number of videos on Covid-19 grew since the establishment of the state of alarm in Spain, and they have been slightly decreasing over time, including certain upswings linked to political decisions. The videos achieve on average high volumes of views, likes/dislikes and comments, and have been published mainly by the media. The videos related both to Blogs and Entertainment are very numerous but with less impact. The videos belonging to the categories of Education and Science and Technology are less numerous, but had a high impact, especially in view counts. In addition, it is concluded that YouTube search filters are not accurate enough to be used in informetric studies without a high data cleansing workload. Likewise, the existence of channels applying defective positioning techniques makes it difficult to carry out this type of study.

Spanish abstract

El objetivo de este trabajo es determinar el volumen de vídeos sobre Covid-19 publicados y difundidos a través de YouTube y relacionados directa o indirectamente con el territorio nacional español, caracterizar su impacto (en términos de visualizaciones, likes y comentarios recibidos), y finalmente categorizar los canales a través de los cuales se han difundido. Para ello se han analizado 39.531 vídeos publicados entre el 1 enero y el 30 de abril de 2020. Los resultados muestran que el número de vídeos sobre Covid-19 aumentaron a partir del establecimiento del estado de alarma en España y, poco a poco, han ido disminuyendo en el tiempo, con ciertos repuntes vinculados a decisiones políticas. Los vídeos logran en promedio un gran número de visualizaciones, likes/dislikes y comentarios, y han sido publicados principalmente por medios de comunicación. Los vídeos relacionados con blogs y entretenimiento son muy numerosos pero con menor impacto. Los vídeos pertenecientes a las categorías de Educación y Ciencia y Tecnología son menos numerosos pero con un alto impacto, especialmente en visualizaciones. De forma complementaria, se concluye que los criterios de ordenación de YouTube no son lo suficientemente precisos como para ser utilizados en estudios informétricos sin una alta carga de trabajo en limpieza de datos. Así mismo, la existencia de canales que aplican estrategias engañosas de posicionamiento dificulta la realización de este tipo de estudios.

Item type: Journal article (Unpaginated)
Keywords: Coronavirus; Covid-19; Pandemics; Health information; Video; YouTube; Informetrics; Social media; Spain; Coronavirus; Covid-19; Pandemias; Información de salud; Video; YouTube; Redes sociales; Informetría; España.
Subjects: B. Information use and sociology of information > BJ. Communication
H. Information sources, supports, channels. > HQ. Web pages.
H. Information sources, supports, channels. > HT. Web 2.0, Social networks
Depositing user: Tomàs Baiget
Date deposited: 10 Jul 2020 10:34
Last modified: 10 Jul 2020 10:34
URI: http://hdl.handle.net/10760/40139

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