audience ,metadata ,participation ,TikTok ,social media ,information


With the expansion of digital culture, an in-depth reflection on how to research audiences is necessary. If, formerly, the individual was placed in a social category that defined cultural tastes, now technology identifies patterns of behavior from the direct record of their actions. This text explores the type of knowledge that can be obtained on audience participation on TikTok. We propose a methodology that consists of the analysis of usage metadata. The fieldwork focuses on “Ac2ality”, an information account with 4.4 million followers in Spain. We analysed all videos shared over six weeks of the first quarter of 2023 (n=173). The purpose was to find (a) the degree of the linear correlation between the metadata for the same video and (b) the existence of correlations between metadata and type of video/ content. For each metadatum available with open access (comments, likes, saves, shares and views), four activity levels have been established (low, intermediate, high and very high). The majority trend indicates that the levels obtained by the metadata of the same content are not coincident, that is, a video will have more or less scope according to the observed metadata. The homogeneity of the videos means that only clear correlations between topic and metadata are detected. Topics with less presence can reach high levels of activity.


Abidin, C. (2021). Mapping internet celebrity on TikTok: Exploring attention economies and visibility labours. Cultural Science Journal, 12(1), 77-103.
Andersen, J. (2020). Understanding and Interpreting Algorithms: Toward a Hermeneutics of Algorithms. Media, Culture & Society, 42(7- 8), 1479-1494.
Bucher, T. (2017). The Algorithmic Imaginary: Exploring the Ordinary Affects of Facebook Algorithms. Information, Communication & Society, 20(1), 30 - 44.
Comscore. (2023, March 15). Comscore Insights: nuevos tiempos, nuevos consumos, perspectiva 2023.
Dourish, P. (2016). Algorithms and Their Others: Algorithmic Culture in Context. Big Data & Society, 3( 2 ) , 1 – 11. https://doi.o r g /10.1177/ 2 0 53951716 6 6512 8
Estrada-García, S., & Gamir-Ríos, J. (2023). Soft News in Original Videos. Adaptation to Tiktok of the Main Spanish Online Media. Profesional De La Información, 32(2), 320222.
Fernández Rodríguez, C. J., & Heikkilä, R. (2011). El Debate Sobre El Omnivorismo Cultural. Una Aproximación a Nuevas Tendencias en Sociología Del Consumo. Revista Internacional De Sociología, 69(3), 585-606. /10.3989/ris.2010.04.15
Fisher, E. (2015). ‘You Media’: Audiencing as Marketing in Social Media. Media, Culture & Society, 37(1), 50 - 67. https://doi.or g /10.1177/01634437145490 8 8
Fisher, E., & Mehozay, Y. (2019). How Algorithms See Their Audience: Media Epistemes and the Changing Conception of the Individual. Media, Culture & Society, 41( 8 ) , 1176 -1191.
Flyverbom, M., & Murray, J. (2018). Datastructuring—organizing and Curating Digital Traces Into Action. Big Data & Society, 5(2), 1–12. h t t p s: //d o i.o r g /10.1177/ 2 0 5395171879 9114
Fulgoni, G. M., & Lipsman, A. (2017). Measuring Television in the Programmatic Age: Why Television Measurement Methods Are Shifting Toward Digital. Journal of Advertising Research, 57(1), 10 -14.
García-Marín, D., & Salvat-Martinrey, G. (2022). Viralizar la verdad. Factores predictivos del engagement en el contenido verificado en TikTok. Profesional De La Información, 31(2), 310210.
García-Marín, J., & Serrano-Contreras, I.-J. (2023). (Un) Founded Fear Towards the Algorithm: Youtube Recommendations and Polarisation. C o mu n ic a r, 31(74), 61-70.
García-Orosa, B., Canavilhas, J., & Vázquez-Herrero, J. (2023). Algorithms and Communication: a Systematized Literature Review. C o mu n ic a r, 31(74), 9-21.
Hallinan, B., & Striphas, T. (2016). Recommended for You: the Netf lix Prize and the Production of Algorithmic Culture. New Media & Society, 18(1) , 117-1 3 7.
Hartley, J. (2000). Los Usos De La Televisión. Paidós.
Huertas, A. (2002). La Audiencia Investigada. Gedisa.
Huertas, A. (2015). Yo Soy Audiencia. Ciudadanía, Público Y Mercado. UOC Press.
IAB. (2023, May 10). Estudio De Redes Sociales. IAB Spain.
Jensen, K. B. (2019). The Double Hermeneutics of Audience Research. Television & New Media, 20(2), 142-154. https://doi.o r g / 10 .117 7/ 15 2 74 76 418 81110 3
Jones, C. (2023). How to train your algorithm: the struggle for public control over private audience commodities on Tiktok. Media, Culture & Society, 45(6).
Lawlor, B. (2020). Questioning the legitimacy of data. Information Services & Use, 40(3), 259-272.
Livingstone, S. (2019). Audiences in an Age of Datafication: Critical Questions for Media Research. Television & New Media, 20(2), 170 -183. h t t p s : / /d o i . o r g / 10 .117 7/ 15 2 74 76 418 811118
Lomborg, S., & Kapsch, P. H. (2020). Decoding Algorithms. Media, Culture & Society, 42(5), 745-761. https://doi.or g /10.1177/0163443719855301
Lovink, G. (2019). Tristes Por Diseño: Las Redes Sociales Como Ideología. Consonni.
Martínez-Estrella, E.-C., Samacá-Salamanca, E., García-Rivero, A., & Cifuentes-Ambra, C. (2023). Generation Z in Chile, Colombia, México, and Panama: Interests and new digital consumption habits. Their use of Instagram and TikTok. Profesional De La Información, 32(2), 1-15.
Martínez, J. (2023, May 5). Atresmedia Entra en El Canal De Tiktok Ac2uality a Cambio De Un Pacto Comercial. La Información.
Méndez Rodríguez, E. M. (2003). La descripción de documentos electrónicos a través de metadatos: una visión para la Archivística desde la nueva e-Administración. Revista d’Arxius, 2003, 47- 82.
Newman, N. (2022). How Publishers Are Learning to Create and Distribute News on TikTok (1914566041). Reuters Institute for the Study of Journalism.
Noble, S. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
Pasquale, F. (2015). The Black Box Society: the Secret lgorithms That Control Money and Information. Harvard University Press.
Pérez-Escolar, M., Alcaide-Pulido, P., & Del Toro, A. (2023). Nuevos referentes informativos de la generación Z: Estudio del rol de los y las inf luencers en TikTok como divulgadores/as de contenidos. Prisma Social: Revista De Investigación Social, (40), 262-288.
Reder, M. (2012). Globalización Y Filosofía. Herder.
Riemer, K., & Peter, S. (2021). Algorithmic Audiencing: Why We Need to Rethink Free Speech on Social Media. Journal of Information Technology, 36(4), 409-426.
Rifkin, J. (2000). La Era Del Acceso. La Revolución De La Nueva Economía. Paidós.
Thomas, S. L., Nafus, D., & Sherman, J. (2018). Algorithms as Fetish: Faith and Possibility in Algorithmic Work. Big Data & Society, 5(1) , 1-11. h t t p s: //d o i.o r g /10.1177/ 2 0 53951717751552
TikTok. (2022, Nov 17). An update on our platform API for researchers.
Vázquez-Herrero, J., Negreira-Rey, M.-C., & Rodríguez-Vázquez, A.-I. (2021). Intersections Between Tiktok and Tv: Channels and Programmes Thinking Outside the Box. Journalism and Media, 2(1), 1-13.
Warner, M. (2012). Público, Públicos, Contrapúblicos. Fondo De Cultura Económica (FCE).
Webster, J. G. (2016). Why Study Measures of Exposure? From Exposure to Attention. Communication Methods and Measures, 10(2-3), 179-180.
Wolton, D. (1999). Sobre La Comunicación. Acento Editorial.


This study is part of the project “Polarización social e interculturalidad: el seguimiento de la actualidad política por parte de la juventud migrante y autóctona desde una mirada interseccional (POINTAP)” (PID2021-125032OB-I00), approved in the 2021 convocation “PROYECTOS DE GENERACIÓN DE CONOCIMIENTO”, within the framework of the Programa Estatal para impulsar la Investigación Científico-Técnica y su Transferencia, Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023.


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Received: 2023-05-30 | Reviewed: 2023-06-07 | Accepted: 2023-09-01 | OnlineFirst: 2024-01-15 | Published: 2024-03-31


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Dra. Amparo., Dra. Natalia., Dra. Ana. (2024). Audience Participation in TikTok Metadata. Comunicar, 32(78). 10.58262/V32I78.7



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