TY - JOUR
T1 - Exploring User Engagement with Portuguese Political Party Pages on Facebook
T2 - Data Sprint as Workflow
AU - Rosa, Jorge
AU - Bacaksızlar Turbic, N. Gizem
AU - Telles, Alda Magalhães
AU - González Tosat, Clara
AU - Jiménez Ruiz, Cristian
AU - Moraiti, Kalliopi
AU - Özgür Karadeniz, Oğuz
AU - Pallacci, Valentina
N1 - PTDC/COM-CSS/28269/2017
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCOM-CSS%2F28269%2F2017/PT#
UIDB/05021/2020
UIDP/05021/2020
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05021%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05021%2F2020/PT#
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Facebook
KW - Political engagement
KW - Rlections
KW - Political parties
KW - Data science
U2 - 10.7203/drdcd.v1i8.233
DO - 10.7203/drdcd.v1i8.233
M3 - Article
SN - 2444-0132
SP - 127
EP - 154
JO - Dígitos - Revista de Comunicación Digital
JF - Dígitos - Revista de Comunicación Digital
IS - 8
ER -