UB München OPACplus
SolrQueryCompletionProxy
QueryCompletionProxy
Back to results

Social media as social science data

LMU University Library Online Catalogue (1/1)

Save in:
 


Social media as social science data

Author: Wilson, Steven Lloyd
Place, Publisher, Year: Cambridge, Cambridge University Press, [2022]
Physical Details: xii, 170 Seiten
ISBN/ISSN/ISMN 9781108733779 , 9781108496414
Subject chain: Social Media / Empirische Sozialforschung

  • Holdings
    /TouchPoint/statistic.do
    statisticcontext=fullhit&action=holding_tab
  • Get document
    /TouchPoint/statistic.do
    statisticcontext=fullhit&action=availability_tab
  • More title information
    /TouchPoint/statistic.do
    statisticcontext=fullhit&action=availability_tab
Author:Wilson, Steven Lloyd
Main title:Social media as social science data
Author statement:Steven Lloyd Wilson
Place:Cambridge
Publisher:Cambridge University Press
Year:[2022]
Physical Details:xii, 170 Seiten
Illustration:Karten
ISBN/ISSN/ISMN:9781108733779
ISBN/ISSN/ISMN:9781108496414
Abstract:Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data
Series:Methods for social inquiry
Regensburger classification system:MR 2200
Regensburger classification system:AP 13900
BV-Nummer:BV048861257
177520.1:Erscheint auch als
177527.1:Online-Ausgabe
177529.1:978-1-108-67756-1