Covid-19análisis métrico de vídeos y canales de comunicación en YouTube

  1. Enrique Orduña-Malea 1
  2. Cristina I. Font-Julián 1
  3. José-Antonio Ontalba-Ruipérez 1
  1. 1 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

Aldizkaria:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Argitalpen urtea: 2020

Zenbakien izenburua: Investigación en Información y Comunicación

Alea: 29

Zenbakia: 4

Mota: Artikulua

DOI: 10.3145/EPI.2020.JUL.01 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: El profesional de la información

Laburpena

The objective of this work is to determine the volume of videos on Covid-19 published and disseminated through Yo u-Tube, 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 Educationand Science and Technology are less numerous, but had a high impact, especially in view counts. In addition, it is conclu-ded 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

Erreferentzia bibliografikoak

  • Basch, Corey H.; Basch, Charles E.; Ruggles, Kelly V.; Hammond, Rodney (2015). “Coverage of the Ebola virus disease epidemic on YouTube”. Disaster medicine and public health preparedness, v. 9, n. 5, pp. 531-535. https://doi.org/10.1017/dmp.2015.77
  • Basch, Corey H.; Fung, Isaak-Chun-Hai; Hammond, Rodney N.; Blankenship, Elizabeth B.; Tse, Zion-Tsz-Ho; Fu, King-Wa; Ip, Patrick; Basch, Charles E. (2017). “Zika virus on YouTube: an analysis of English-language video content by source”. Journal of preventive medicine and public health, v. 50, n. 2, pp. 133-140. https://doi.org/10.3961/jpmph.16.107
  • Basch, Corey H.; Hillyer, Grace C.; Meleo-Erwin, Zoe C.; Jaime, Christie; Mohlman, Jan; Basch, Charles E. (2020). “Preventive behaviors conveyed on YouTube to mitigate transmission of Covid-19: Cross-sectional study”. JMIR public health and surveillance, v. 6, n. 2, e18807. https://doi.org/10.2196/18807
  • Berec (2020). Berec summary report on the status of internet capacity in light of Covid-19 crisis. https://berec.europa.eu/eng/document_register/subject_matter/berec/download/0/9250-berec-summary-report-on-the-status-of-in_0.pdf
  • Burton, Scott; Morris, Richard; Dimond, Michael; Hansen, Joshua; Giraud-Carrier, Christophe; West, Joshua; Hanson, Carl; Barnes, Michael (2012). “Public health community mining in YouTube”. In: Proceedings of the 2nd ACM SIGHIT International health informatics symposium, pp. 81-90. https://doi.org/10.1145/2110363.2110376
  • Cinelli, Matteo; Quattrociocchi, Walter; Galeazzi, Alessandro; Valensise, Carlo-Michele; Brugnoli, Emanuele; Schmidt, Ana-Lucia; Zola, Paola; Zollo, Fabiana; Scala, Antonio (2020). “The Covid-19 social media infodemic”. arXiv preprint arXiv:2003.05004. https://arxiv.org/abs/2003.05004
  • Drozd, Brandy; Couvillon; Emily; Suárez, Andrea (2018). “Medical YouTube videos and methods of evaluation: literature review”. JMIR medical education, v. 4, n. 1, e3. https://doi.org/10.2196/mededu.8527
  • España (2020). “Real decreto 463/2020, de 14 de marzo, por el que se declara el estado de alarma para la gestión de la situación de crisis sanitaria ocasionada por el Covid-19”. Boletín oficial del Estado, n. 67, pp. 25390-25400. https://www.boe.es/eli/es/rd/2020/03/14/463
  • Gevers, Alex (2020). “Coronavirus pandemic and online media consumption: settling into the new normal”. Comscore. https://www.comscore.com/Insights/Blog/Coronavirus-pandemic-and-online-media-consumption-settling-into-the-New-Normal
  • Hayanga, Awori J.; Kaiser, Heather E. (2008). “Medical information on YouTube”. JAMA, v. 299, n. 12, pp. 1424-1426. https://doi.org/10.1001/jama.299.12.1424-b
  • Hidalgo-Pérez, Montse (2020). “Dime quién eres y te diré cómo matas el tiempo en la red”. El país. https://elpais.com/tecnologia/2020-04-17/dime-quien-eres-y-te-dire-como-matas-el-tiempo-en-la-red.html
  • Huang, Chaolin; Wang, Yeming; Li, Xingwang; Ren, Lili; Zhao, Jianping; Hu, Yi; Zhang, Li; Fan, Guohui; Xu, Jiuyang et al. (2020). “Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China”. The lancet, v. 395, n. 10223, pp. 15-21. https://doi.org/10.1016/S0140-6736(20)30183-5
  • Johns Hopkins University (2020). Coronavirus Resource Center. https://coronavirus.jhu.edu
  • Khatri, Priyanka; Singh, Shweta R.; Belani, Neeta-Kesu; Yeong, Yin-Leng; Lohan, Rahul; Lim, Yee-Wei; Teo, Winnie Z. Y. (in press). “YouTube as source of information on 2019 novel coronavirus outbreak: a cross sectional study of English and Mandarin content”. Travel medicine and infectious disease. https://doi.org/10.1016/j.tmaid.2020.101636
  • Lopezosa, Carlos; Orduña-Malea, Enrique; Pérez-Montoro, Mario (2019). “Making video news visible: Identifying the optimization strategies of the cybermedia on YouTube using web metrics”. Journalism practice, v. 4, n. 4, pp. 465-482. https://doi.org/10.1080/17512786.2019.1628657
  • Madathil, Kapil-Chalil; Rivera-Rodríguez, A. Joy; Greenstein, Joel S.; Gramopadhye, Anand K. (2015). “Healthcare information on YouTube: a systematic review”. Health informatics journal, v. 21, n. 3, pp. 173-194. https://doi.org/10.1177/1460458213512220
  • Nokia (2020). Network traffic insights in the time of coronavirus disease (Covid-19): Nokia Deepfield network intelligence report. https://onestore.nokia.com/asset/207327
  • Oller-Arlandis, Vicent; Oller-Arlandis, Vanessa-Esperanza (2017). “YouTube como fuente de información sanitaria y divulgación del conocimiento sobre cuidados paliativos en el domicilio”. Hospital a domicilio, v. 1, n. 3, pp. 153-166. https://doi.org/10.22585/hospdomic.v1i3.23
  • Orduña-Malea, Enrique (2019). “Google Trends: analítica de búsquedas al servicio del investigador, del profesional y del curioso”. Anuario ThinkEPI, v. 13, e13inf01.https://doi.org/10.3145/thinkepi.2019.e13inf01
  • Pandey, Ambarish; Patni, Nivedita; Singh, Mansher; Sood, Akshay; Singh, Gayatri (2010). “YouTube as a source of information on the H1N1 influenza pandemic”. American journal of preventive medicine, v. 38, n. 3, e1-e3. https://doi.org/10.1016/j.amepre.2009.11.007
  • Pathak, Ranjan; Poudel, Dilli-Ram; Karmacharya, Paras; Pathak, Amrit; Aryal, Madan-Raj; Mahmood, Maryam; Donato, Anthony A. (2015). “YouTube as a source of information on Ebola virus disease”. North American journal of medical sciences, v. 7, n. 7, pp. 306-309. https://doi.org/10.4103/1947-2714.161244
  • Sampson, Margaret; Cumber, Jordi; Li, Claudia; Pound, Catherine M.; Fuller, Ann; Harrison, Denise (2013). “A systematic review of methods for studying consumer health YouTube videos, with implications for systematic reviews”. PeerJ, v. 1, e147. https://doi.org/10.7717/peerj.147
  • Statista (2020). YouTube. https://www.statista.com/study/15475/YouTube-statista-dossier
  • Syed-Abdul, Shabbir; Fernández-Luque, Luis; Jian, Wen-Shan; Li, Yu-Chuan; Crain, Steven; Hsu, Min-Huei; Wang, Jao-Chin; Khandregzen, Dorjsure; Chuluunbaatar, Enkhzaya; Anh Nguyen; Phung; Liou, Der-Ming (2013). “Misleading health-related information promoted through video-based social media: Anorexia on YouTube”. Journal of medical internet research, v. 15, n. 2, e30. https://doi.org/10.2196/jmir.2237
  • Telefónica (2020). “Telefónica registra durante la crisis del Covid-19 un crecimiento en su tráfico de internet equivalente al de todo el año pasado”. Telefónica, 15 abril. https://bit.ly/2WKNXLI
  • Thelwall, Mike (2012). Introduction to Webometric Analyst 2.0: A research tool for social scientists. http://lexiurl.wlv.ac.uk/searcher/IntroductionToWebometricAnalyst2.doc
  • Walton, Laura R.; Seitz, Holli H.; Ragsdale, Kathleen (2012). “Strategic use of YouTube during a national public health crisis: the CDC’s response to the 2009 H1N1 flu epidemic”. Case studies in strategic communication, v. 1, n. 3, pp. 25-37. https://doi.org/10.1123/ijsc.4.1.99
  • WHO (2003). Severe acute respiratory syndrome (SARS). https://www.who.int/csr/sars/en/ea56r29.pdf
  • WHO (2020a). Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV). https://bit.ly/2ZmHZSM
  • WHO (2020b). WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020. https://bit.ly/3bUz265
Datuen iturria: Dialnet