2022
Tonality in campaign communication on Facebook as drivers of divergent users' engagement in Czechia
MACKOVÁ, Alena a Martina NOVOTNÁZákladní údaje
Originální název
Tonality in campaign communication on Facebook as drivers of divergent users' engagement in Czechia
Autoři
Vydání
Political Communication Research in Central and Eastern Europe, 2022
Další údaje
Jazyk
angličtina
Typ výsledku
Prezentace na konferencích
Utajení
není předmětem státního či obchodního tajemství
Organizační jednotka
Fakulta sociálních studií
Klíčová slova anglicky
Facebook, political communication, election campaign, attacks, acclaims, populist communication, emotions
Příznaky
Recenzováno
Změněno: 6. 1. 2023 13:19, Mgr. Martina Novotná, Ph.D.
Anotace
V originále
When it comes to campaigning on social networking sites, the political communication tends to be rather one-sided and only few political actors can attract significant attention of users. Research shows that populists politicians are particularly good in reaching broader audiences and stimulating engagement with the content. Research also shows that citizens pay more attention to negative content and tend to engage with such content more, because negative tonality, often used in populist communication, can trigger negative feelings, and thus increase users’ engagement. However, significantly less evidence is present about the effects of positive tonality and positive emotions on users’ engagement. Our study focuses on both negative (like negative tonality and attacking of opponents) and positive (like personalized communication, acclaiming statements) content elements in the political campaign during the Czech national elections in 2021 as the possible predictors of users’ engagement. Besides the content predictors, we also access the Facebook pages/profiles characteristics as the profile outreach and type, focusing on the distinctions among pages of leaders and parties. Additionally, we explore how different tonality of posts drives different types of users' engagement and reactions. To do so, we apply the content analysis method, and we analyse Facebook posts from seven political leaders and seven relevant parties (and coalition) collected during the 30 days before the elections via CrowdTangle (n = 1470). Our analysis will be completed by the time of conference.
Návaznosti
GA19-24724S, projekt VaV |
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MUNI/A/1503/2021, interní kód MU |
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