Normalized Social Distance: Quantitative Analysis of Religion-Centered Gaming Pages on Social Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F18%3A10389079" target="_blank" >RIV/00216208:11210/18:10389079 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.4324/9781315518336" target="_blank" >https://doi.org/10.4324/9781315518336</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Normalized Social Distance: Quantitative Analysis of Religion-Centered Gaming Pages on Social Networks

Popis výsledku v původním jazyce

The primary aim of this chapter is to present a new methodological and interpretative framework for the analysis of big social data: in particular, user-generated data obtained from Facebook. The chapter introduces a new, formally-defined, quantitative method called Normalized Social Distance (NSD), developed by the main author of this chapter. NSD calculates the distances between various social groups, based on the intentional stances expressed by members of these groups in their activities on social networks. NSD results can be visualized in graphs, clusters or dendrograms, and standard methods of network analysis can be applied to them. As such, NSD provides an opportunity for a distant reading of social network sites, enabling us to formally represent and analyze the structural aspects of big social data. The case study presented in this chapter serves as an example that highlights the use of NSD on a concrete dataset and explains possible further interpretative approaches. Thematically, the case study focuses on religion-centered gaming pages on social networks. These are Facebook pages providing news, reviews and other gaming-related content and that describe themselves in religious terms and/or state religiously-motivated aims in their descriptions (e.g. Christian Gamers Alliance, Gamers 4 Christ, Muslim Gamers, Atheist Gamer, etc.). The case study explores 15 religion-centered gaming pages on Facebook and analyzes publicly available data about 10275 of their users. It aims to explore these pages&apos; audiences and their similarities, differences and affinities through NSD computed from their fans&apos; likes.

Název v anglickém jazyce

Normalized Social Distance: Quantitative Analysis of Religion-Centered Gaming Pages on Social Networks

Popis výsledku anglicky

The primary aim of this chapter is to present a new methodological and interpretative framework for the analysis of big social data: in particular, user-generated data obtained from Facebook. The chapter introduces a new, formally-defined, quantitative method called Normalized Social Distance (NSD), developed by the main author of this chapter. NSD calculates the distances between various social groups, based on the intentional stances expressed by members of these groups in their activities on social networks. NSD results can be visualized in graphs, clusters or dendrograms, and standard methods of network analysis can be applied to them. As such, NSD provides an opportunity for a distant reading of social network sites, enabling us to formally represent and analyze the structural aspects of big social data. The case study presented in this chapter serves as an example that highlights the use of NSD on a concrete dataset and explains possible further interpretative approaches. Thematically, the case study focuses on religion-centered gaming pages on social networks. These are Facebook pages providing news, reviews and other gaming-related content and that describe themselves in religious terms and/or state religiously-motivated aims in their descriptions (e.g. Christian Gamers Alliance, Gamers 4 Christ, Muslim Gamers, Atheist Gamer, etc.). The case study explores 15 religion-centered gaming pages on Facebook and analyzes publicly available data about 10275 of their users. It aims to explore these pages&apos; audiences and their similarities, differences and affinities through NSD computed from their fans&apos; likes.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

50803 - Information science (social aspects)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Methods for Studying Video Games and Religion

ISBN

978-1-138-69871-0

Počet stran výsledku

17

Strana od-do

171-187

Počet stran knihy

221

Název nakladatele

Routledge

Místo vydání

New York

Kód UT WoS kapitoly

—