Word Association Thematic Analysis : A Social Media Text Exploration Strategy / by Michael Thelwall.

Format:

Book

Author/Creator:

Thelwall, Michael., Author.

Series:

Synthesis Lectures on Information Concepts, Retrieval, and Services, 1947-9468

Language:

English

Subjects (All):

Computer networks.

Computer Communication Networks.

Local Subjects:

Computer Communication Networks.

Physical Description:

1 online resource (XVII, 111 p.)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

Summary:

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, then identifies 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.

Contents:

Acknowledgments

Introduction

Data Collection with Mozdeh

Word Association Detection: Term Identification

Word Association Contextualization: Term Meaning and Context

Word Association Thematic Analysis: Theme Detection

Word Association Thematic Analysis Examples

Comparison Between WATA and Other Methods

Ethics

Project Planning

Summary

References

Author Biography.

ISBN:

9783031023248

3031023242