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  4. The Social Structuration of Six Major Social Media Platforms in the United Kingdom: Facebook, LinkedIn, Twitter, Instagram, Google+ and Pinterest
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The Social Structuration of Six Major Social Media Platforms in the United Kingdom: Facebook, LinkedIn, Twitter, Instagram, Google+ and Pinterest

Journal
SMSociety '16 : Proceedings of the 7th 2016 International Conference on Social Media & Society
ISBN
978-1-4503-3938-4
Type
conference paper
Date Issued
2016-07-11
Author(s)
Blank, Grant
;
Lutz, Christoph  
DOI
10.1145/2930971.2930979
Abstract
Sociological studies on the Internet have often examined digital inequalities. These studies show how Internet access, skills, uses and outcomes vary between different population segments. However, we know more about social inequalities in general Internet use than in social media use. Especially, we lack differentiated statistical evidence of the social profiles of distinct social media platforms. To address this issue, we use a large survey data set in the United Kingdom and investigate the social structuration of six major social media platforms. We find that age and socio-economic status are driving forces of several – but not all – of these platforms. Aggregating platform adoption into a general measure of social media use blurs some of the subtleties of more fine-grained indicators, namely platform uses and specific activities, such as status updating and commenting.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher
ACM
Publisher place
New York, NY
Volume
8
Pages
10
Event Title
7th International Conference on Social Media & Society
Event Location
London
Event Date
11.-13.07.2016
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/104136
Subject(s)

information managemen...

social sciences

Division(s)

MCM -Institute for Me...

Contact Email Address
christoph.lutz@bi.no
Eprints ID
248329
File(s)
Thumbnail Image

open.access

Name

SMSociety16_Blank_Lutz.pdf

Size

425.68 KB

Format

Adobe PDF

Checksum (MD5)

a96d971e12420c088cc576f7858c4ef4

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