Accessible Unlicensed Requires Authentication Published by De Gruyter Mouton November 5, 2021

Is YouTube being used to its full potential? Proposal for an indicator of interactivity for the top YouTuber content in Spanish

Victoria Tur-Viñes and María-José González-Río
From the journal Communications

Abstract

The objective of this study is to analyze the relationship between views (popularity) and social interaction generated by YouTuber videos in Spanish. A quali-quantitative analysis is conducted on a sample of 100 videos, 10 YouTube channels, 997 minutes of video, with 116,934,321 views, 12,297,021 likes/dislikes, and 1,041,191 comments on YT, 306,000 retweets/favorites on TW and 140,852 comments, shares, and reactions on FB. The existence of social media tools on YouTube does not in itself guarantee interaction by users who prefer to watch videos and adopt a passive attitude. In this analysis, we propose a social interaction indicator that takes into account the total number of social media reactions made on social networks (YT, TW, and FB) and the age of the video. Cultivating realistic conversation and interaction on platforms with audiences numbering in the millions represents a serious challenge for YouTubers.

Acknowledgements

Martin Boyd who provided the English translation. Metric Salad who provided data harvesting. Xhevrie Mamaqi who provided technical support.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and publication of this article: This work was supported by the Ministry of Science, Innovation and Universities of Spain (EU) [Grant Number CSO2016-74980-C2-2-R]. The translation was funded by the Department of Sociology II of Universidad de Alicante, Spain.

References

Abisheva, A., Garimella, V. R. K., Garcia, D., & Weber, I. (2014). Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining (pp. 593–602). New York: Association for Computing Machinery (ACM).Search in Google Scholar

Alhabash, S., & McAlister, A. R. (2015). Redefining virality in less broad strokes: Predicting viral behavioral intentions from motivations and uses of Facebook and Twitter. New Media & Society, 17(8), 1317–1339. https://doi.org/10.1177/1461444814523726Search in Google Scholar

Aparici, R., & Osuna Acedo, S. (2013). La cultura de la participación [The culture of participation]. Revista Mediterránea de Comunicación / Mediterranean Journal of Communication, 4(2), 137–148. https://doi.org/10.14198/MEDCOM2013.4.2.07Search in Google Scholar

Ariel, Y., & Avidar, R. (2015). Information, interactivity, and social media. Atlantic Journal of Communication, 23(1), 19–30. https://doi.org/10.1080/15456870.2015.972404Search in Google Scholar

Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.xSearch in Google Scholar

Burgess, J., & Green, J. (2009). YouTube: Online video and participatory culture. Cambridge, UK: Polity.Search in Google Scholar

Chau, C. (2011). YouTube as a participatory culture. New Directions for Youth Development, 128, 65–74. https://doi.org/10.1002/yd.376Search in Google Scholar

Cheng, X., Dale, C., & Liu, J. (2008). Statistics and social network of YouTube videos. In IWQoS, 16th International Workshop on Quality of Service (pp. 229–238). IEEE. https://ieeexplore.ieee.org/abstract/document/4539688/Search in Google Scholar

Courtois, C., Mechant, P., & De Marez, L. (2011). Teenage uploaders on YouTube: Networked public expectancies, online feedback preference, and received on-platform feedback. Cyberpsychology, Behavior, and Social Networking, 14(5), 315–322. https://doi.org/10.1089/cyber.2010.0225Search in Google Scholar

Deuze, M. (2003). The web and its journalisms: Considering the consequences of different types of newsmedia online. New Media & Society, 5(2), 203–230. https://doi.org/10.1177/1461444803005002004Search in Google Scholar

Deuze, M. (2006). Ethnic media, community media and participatory culture. Journalism, 7(3), 262–280. https://doi.org/10.1177/1464884906065512Search in Google Scholar

Gallardo Camacho, J., & Jorge Alonso, A. (2010). La baja interacción del espectador de vídeos en Internet: caso Youtube España [The low interaction of the audience of internet videos: The case of YoutTube Spain]. Revista Latina de Comunicación Social, 65, 421–435. http://dx.doi.org/10.4185/RLCS-65-2010-910-421-435Search in Google Scholar

Haridakis, P., & Hanson, G. (2009). Social interaction and co-viewing with YouTube: Blending mass communication reception and social connection. Journal of Broadcasting & Electronic Media, 53(2), 317–335. https://doi.org/10.1080/08838150902908270Search in Google Scholar

Hidalgo-Marí, T., & Segarra-Saavedra, J. (2017). The YouTuber phenomenon and its transmedia expansion: Analysis of youth empowerment in social media. Fonseca, Journal of Communication, 15, 43–56. http://dx.doi.org/10.14201/fjc2017154356Search in Google Scholar

Himma-Kadakas, M., Rajavee, A., Orgmets, M.-L., Eensaar, L., & Kõuts-Klemm, R. (2018). The food chain of YouTubers: Engaging audiences with formats and genres. Observatorio (OBS*), 54–75. http://dx.doi.org/10.15847/obsOBS0001385Search in Google Scholar

Jenkins, H., Puroshotma, R., Clinton, K., Weigel, M., & Robison, A. J. (2005). Confronting the challenges of participatory culture: Media education for the 21st century. Chicago, IL: The MacArthur Foundation. Retrieved February 18, 2017 from http://www.newmedialiteracies.org/wp-content/uploads/pdfs/NMLWhitePaper.pdf.Search in Google Scholar

Kahanda, I., & Neville, J. (2009). Using transactional information to predict link strength in online social networks. In Proceedings of International AAAI Conference on Web and Social Media [ICWSM] (pp. 74–81). San José, CL: AAAI Publications.Search in Google Scholar

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003Search in Google Scholar

Ksiazek, T. B., Peer, L., & Lessard, K. (2016). User engagement with online news: Conceptualizing interactivity and exploring the relationship between online news videos and user comments. New Media & Society, 18(3), 502–520. https://doi.org/10.1177/1461444814545073Search in Google Scholar

Liu, Y. P., & Shrum, L. J., (2002). What is interactivity and is it always such a good thing? Implications of definition, person, and situation for the influence of interactivity on advertising effectiveness. Journal of Advertising, 31, 53–64. https://doi.org/10.1080/00913367.2002.10673685Search in Google Scholar

Martins Flores, N., & Muniz de Medeiros, P. (2018). Science on YouTube: Legitimation strategies of Brazilian science YouTubers. Revue Française des Sciences de l’information et de la communication, 15. https://doi.org/10.4000/rfsic.4782Search in Google Scholar

Putnam, R. D. (2001). Bowling alone: The collapse and revival of American community. New York: Simon and Schuster.Search in Google Scholar

Rotman, D., & Preece, J. (2010). The ‘WeTube’ in YouTube – Creating an online community through video sharing. International Journal of Web Based Communities, 6, 317–333. https://doi.org/10.1504/IJWBC.2010.033755Search in Google Scholar

Shoham, M. D., Arora, A. B., & Al-Busaidi, A. (2013, January). Writing on the wall: An online ‘community’ of YouTube patrons as communication network or cyber-graffiti? In 46th Hawaii International Conference on System Sciences (pp. 3951–3960). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HICSS.2013.615Search in Google Scholar

Tur-Viñes, V., & Rodríguez Ferrándiz, R. (2014). Transmedialidad, series de ficción y redes sociales: El caso de Pulseras Rojas en el grupo oficial de Facebook (Antena 3. España) [Transmediality, fiction series, and social networds: The case of the Red String Bracelets in the official Facebook group]. Cuadernos. info, 34, 115–131. https://doi.org/10.7764/cdi.34.549Search in Google Scholar

Wattenhofer, M., Wattenhofer, R., & Zhu, Z. (2012). The YouTube social network. In the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland.Search in Google Scholar

Xiang, R., Neville, J., & Rogati, M. (2010, April). Modeling relationship strength in online social networks. In Proceedings of the 19th international conference on World wide web (pp. 981–990). New York: Association for Computing Machinery (ACM).Search in Google Scholar

Yang, C., Hsu, Y. C., & Tan, S. (2010). Predicting the determinants of users’ intentions for using YouTube to share video: Moderating gender effects. Cyberpsychology, Behavior, and Social Networking, 13(2), 141–152. http://dx.doi.org/10.1089/cyber.2009.0105Search in Google Scholar

Zhou, R., Khemmarat, S., & Gao, L. (2010). The impact of YouTube recommendation system on video views. In Proceedings of the 10th ACM SIGCOMM conference on internet measurement (pp. 404–410). New York: Association for Computing Machinery (ACM).Search in Google Scholar

Published Online: 2021-11-05
Published in Print: 2021-11-03

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