Algorithms and data visualization techniques for audiences of television fiction on streaming

Authors

  • Maria Immacolata Vassallo de Lopes Senior Professor at the School of Communications and Arts at the University of São Paulo (USP). CNPq Researcher 1A. Professor of the Graduate Program in Communication Sciences. Director of the journal MATRIZes. Coordinator of the Ibero-American Observatory of Television Fiction (OBITEL), the Obitel Brazil Network, and the Center for Soap Opera Studies (CETVN-ECA-USP). https://orcid.org/0000-0003-3477-1068
  • Claudia Freire Postdoctoral fellow at the Center for Communication and Culture Studies – CECC – of the Faculty of Human Sciences of the Catholic University of Portugal in Lisbon. https://orcid.org/0000-0002-1222-7734

DOI:

https://doi.org/10.15448/1980-3729.2025.1.45633

Keywords:

reception, television fiction, streaming, techniques, algorithms, data visualization

Abstract

This article considers the future of audience research in the streaming era, questioning the dynamics and potentialities of the big data paradigm against the universe of content generated by users on digital platforms. Starting from this premise, the potential of algorithms and new visualization techniques for the transmission of television fiction audience data is analyzed in light of a critical gap between the audience data and the audience itself.

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Author Biographies

Maria Immacolata Vassallo de Lopes, Senior Professor at the School of Communications and Arts at the University of São Paulo (USP). CNPq Researcher 1A. Professor of the Graduate Program in Communication Sciences. Director of the journal MATRIZes. Coordinator of the Ibero-American Observatory of Television Fiction (OBITEL), the Obitel Brazil Network, and the Center for Soap Opera Studies (CETVN-ECA-USP).

Senior Professor at the School of Communications and Arts at the University of São Paulo, with a postdoctoral fellowship at the University of Firenze, Italy. In 2005, she founded and coordinates OBITEL (Ibero-American Observatory of Television Fiction) and OBITEL BRASIL (Brazilian Network of Television Fiction Researchers). She coordinates CETVN (Center for Telenovela Studies at ECA-USP). She edits the journal MATRIZes (A1). Her work focuses on telenovelas, transmedia television fiction, streaming, and epistemology and communication methodology. She has published articles and books in her fields in Brazil and abroad. She is a CNPq (Brazilian National Council for Scientific and Technological Development) researcher.

Claudia Freire, Postdoctoral fellow at the Center for Communication and Culture Studies – CECC – of the Faculty of Human Sciences of the Catholic University of Portugal in Lisbon.

Post-Doctoral Researcher at the Centre for Research in Communication and Culture - CECC - Católica Faculty of Humanities and Sciences in Lisbon - Portugal. Main Areas: Epistemology, Theory and Research Methodology, Social Media Analytics, Algorithms and DataViz, Civil Diplomacy.

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Published

2025-09-23

How to Cite

Vassallo de Lopes, M. I., & Freire, C. (2025). Algorithms and data visualization techniques for audiences of television fiction on streaming. Revista FAMECOS, 32(1), e45633. https://doi.org/10.15448/1980-3729.2025.1.45633

Issue

Section

Cyberculture