Overview
Part of the book series: Synthesis Lectures on Information Concepts, Retrieval, and Services (SLICRS)
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Table of contents (10 chapters)
About this book
Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection. The method starts by automatically finding words that are statistically significantly more common in one subset than another, thenidentifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages. This book explains the word association thematic analysis method, with examples, and gives practical advice for using it. It is primarily intended for social media researchers and students, although the method is applicable to any collection of short texts.
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Bibliographic Information
Book Title: Word Association Thematic Analysis
Book Subtitle: A Social Media Text Exploration Strategy
Authors: Michael Thelwall
Series Title: Synthesis Lectures on Information Concepts, Retrieval, and Services
DOI: https://doi.org/10.1007/978-3-031-02324-8
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 10
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-031-01196-2Published: 02 February 2021
eBook ISBN: 978-3-031-02324-8Published: 31 May 2022
Series ISSN: 1947-945X
Series E-ISSN: 1947-9468
Edition Number: 1
Number of Pages: XVII, 111