Twitter data analytics.
Title:
Twitter data analytics.
Author:
Bruns, Axel.
ISBN:
9781784411817
Personal Author:
Physical Description:
1 online resource (113 pages)
Series:
Aslib Journal of Information Management: Volume 66, Issue 3 ; v.66
Aslib Journal of Information Management: Volume 66, Issue 3
Contents:
Cover -- Editorial advisory board -- Guest editorial -- A topology of Twitter research: disciplines, methods, and ethics -- Programmed method: developing a toolset for capturing and analyzing tweets -- Astrophysicists on Twitter -- Twitter and TV events: an exploration of how to use social media for student-led research -- Social media as a political backchannel -- Polarisation in political Twitter conversations -- Global social media, local context.
Abstract:
It might still sound strange to dedicate an entire ebook exclusively to a single Internet platform. But it is not the company Twitter, Inc. that is the focus; this ebook is not about a platform and its features and services. It is about its users and the ways in which they interact with one another via the platform, about the situations that motivate people to share their thoughts publicly, using Twitter as a means to reach out to one another. And it is about the digital traces people leave behind when interacting with Twitter, and most of all about the ways in which these traces - as a new type of research data - can also enable new types of research questions and insights. The papers in this ebook either contribute to the general understanding of Twitter data analytics or apply innovative approaches and describe them in detail and with careful discussion.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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