Jump to ContentJump to Main Navigation
Data in SocietyChallenging Statistics in an Age of Globalisation$
Users without a subscription are not able to see the full content.

Jeff Evans, Sally Ruane, and Humphrey Southall

Print publication date: 2019

Print ISBN-13: 9781447348214

Published to Policy Press Scholarship Online: May 2020

DOI: 10.1332/policypress/9781447348214.001.0001

Show Summary Details
Page of

PRINTED FROM POLICY PRESS SCHOLARSHIP ONLINE (www.policypress.universitypressscholarship.com). (c) Copyright Policy Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PPSO for personal use.date: 03 August 2021

Social media data

Social media data

Chapter:
(p.47) 4 Social media data
Source:
Data in Society
Author(s):

Adrian Tear

Humphrey Southall

Publisher:
Policy Press
DOI:10.1332/policypress/9781447348214.003.0005

The increasing availability of huge volumes of social media ‘Big Data’ from Facebook, Flickr, Instagram, Twitter and other social network platforms, combined with the development of software designed to operate at web scale, has fuelled the growth of computational social science. Often analysed by ‘data scientists’, social media data differ substantially from the datasets officially disseminated as by-products of government-sponsored activity, such as population censuses or administrative data, which have long been analysed by professional statisticians. This chapter outlines the characteristics of social media data and identifies key data sources and methods of data capture, introducing several of the technologies used to acquire, store, query, visualise and augment social media data. Unrepresentativeness of, and lack of (geo)demographic control in, social media data are problematic for population-based research. These limitations, alongside wider epistemological and ethical concerns surrounding data validity, inadvertent co-option into research and protection of user privacy, suggest that caution should be exercised when analysing social media datasets. While care must be taken to respect personal privacy and sample assiduously, this chapter concludes that statisticians, who may be unfamiliar with some of the programmatic steps involved in accessing social media data, must play a pivotal role in analysing it.

Keywords:   Social media, social network, social graph, Facebook, Twitter

Policy Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.