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EN
The publication focuses on the connection between humans' personal identity and activity on social networks. Facebook and Instagram are a kind of (cyber-communication) sphere in which we are able to communicate with everyone who belongs to these (cyber-)communities. It allows us to publish our photos, memories, current activities, and videos while simultaneously allowing the portal’s other users to observe our life and expression of our Self. In this (cyber-)social space, people are able to create their image and (cyber-)identity in a psychological and social context, encounter a variety of (personal) experiences, but also gain popularity – sometimes at all cost, at the expense of their health and life. The following issues are discussed in the publication: 1. (People's cyber-)identity created on the social networks: Facebook and Instagram. 2. Self-esteem depending on the number of "likes." 3. "Ultimate selfie" - the popularity for which you pay with your life.
PL
W marcu 2020 roku większość zawodów sportowych na świecie została zawieszona z powodu pandemii COVID-19. W tej sytuacji zapotrzebowanie kibiców na informacje o najlepszych sportowcach nie mogło być w pełni zaspokojone w sposób tradycyjny, czego wynikiem był wzrost popularności mediów społecznościowych. Celem artykułu jest identyfikacja czynników wpływających na zaangażowanie fanów sportu w mediach społecznościowych, bazując na przykładzie Instagrama. Jako wskaźniki uwzględniono liczbę polubień i komentarzy, a także liczbę polubieni i komentarzy podzieloną przez liczbę followersów (właściwe wskaźniki zaangażowania). Wyniki przeprowadzonego badania pokazują jakie typy postów generowały największe zaangażowanie.
EN
In March 2020, most sports competitions in the world were suspended due to the COVID-19 pandemic. Fan demand for information about top athletes could not be fully satisfied traditionally, that is why social media have grown in popularity. This article aims to identify the factors that affect the engagement of sports fans on social media and is based on the example of Instagram. The number of likes, comments as well as the number of likes and comments divided by the number of followers (appropriate engagement rates), were taken into account as engagement indicators. The results clearly show what types of posts generated the most engagement.
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