Contemporary changes in digital media mean that a huge quantity of information is now routinely published online in the form of blogs, Twitter posts, YouTube videos and discussions on Social Network Sites (SNS) such as Facebook as well as in other chat rooms and forums. This has created many opportunities for research of a kind not possible before, but it also raises many challenges associated with effectively exploiting the data. The effective gathering and processing of online content on a large scale requires an approach drawing on subject and technical expertise from a range of different disciplines including media and communication studies, internet studies and information and computer science.
This book is concerned with the application of research methods to address a series of important questions that currently motivate research in this area. By concentrating on individual social media 'objects', it highlights and encourages readers to explore a range of different objects to study, how to design research questions around these, consider ethics where relevant, alongside a range of quantitative and qualitative methods that could be considered.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 242 mm
Breite: 170 mm
ISBN-13
978-1-4462-5220-8 (9781446252208)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Mike Thelwall is a Professor of Data Science and is the author of the sentiment analysis software SentiStrength and the social media analysis software Mozdeh, both of which are free for academic research. He leads the Statistical Cybermetrics Research Group at the University of Wolverhampton and has written hundreds of journal articles and four books, including the gem, "Word association thematic analysis: A social media text exploration strategy".
PART ONE
Introduction
Designing Your Research Question
The Social Web
Thinking about Ethics
Collecting and Storing Data
Studying Institutions
PART TWO
Studying Users
Studying Networks and Links
Analysing Comments and Sentiment
Studying GBP(hash)Tags
Analysing Images
PART THREE
Future of Researching Social Media
Conclusion