Exploring User Engagement with Portuguese Political Party Pages on Facebook: Data Sprint as Workflow

Autores/as

DOI:

https://doi.org/10.7203/drdcd.v1i8.233

Resumen

In the broader context of a research project about political participation on Facebook during the Portuguese electoral year of 2019 - for the European Parliament in May, and for the National Parliament in October -, a dataset of more than 9,000 posts and corresponding reactions and comments had been previously retrieved using Facepager. Participating in a data sprint came up as an opportunity to explore some specific questions in an intensive and time-bound context, using a subset of the data tailored to the purpose of discovering: 1) how differently official parties tried to engage with Facebook users before, during, and after the campaigns for the major elections periods (“supply side”), and 2) what type of content received the most attention and engagement (“demand side”). Our results show that regardless of the party’s age and position in the political spectrum, the persistent main categories are “National Politics”, “Fundamental Rights”, and “Self-Promotion” for both elections. Also, we found that posts with images attract more attention, and apparently this may be leveraged if the textual content of the post is in topics of “National Politics”. However, this finding requires further investigation. Along with details about the research during the data sprint and the main findings, this paper is also a testimony about the singularities and learnings of a process built upon the constraints of taking data sprints situation as a workflow.

Biografía del autor/a

Jorge Martins Rosa, NOVA FCSH e ICNOVA, Universidade Nova de Lisboa

Professor Associado, Departamento de Ciências da Comunicação, NOVA FCSH, Lisboa, Portugal

Investigador, ICNOVA, NOVA FCSH, Lisboa, Portugal

N. Gizem Bacaksızlar Turbic, GESIS - Leibniz Institute for the Social Sciences

Post-Doctoral Researcher

Alda Magalhães Telles, NOVA FCSH, Universidade NOVA de Lisboa

Doctoral candidate

Clara González Tosat, Universidade de Navarra

Marie Sklodowska-Curie ITN Early Stage Researcher

Cristian Jiménez Ruiz, ISCTE-IUL & Lisbon University

Doctoral candidate

Kalliopi Moraiti, University of Gothenburg

Doctoral candidate

Oğuz Özgür Karadeniz, KU Leuven DTAI

Research Associate

Valentina Pallacci, Politecnico di Milano

Master’s student

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Publicado

10-07-2022