Skip to main navigation Skip to search Skip to main content

The Expression of Cultural Identities in Hong Kong’s Anti-Extradition Law Amendment Bill Movement: A Semantic Network Analysis of Tweets

  • Yipeng Xi*
  • , Anfan Chen
  • , Weiyu Zhang
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

8 Citations (Scopus)

Abstract

Building upon the theories of nested identity and optimal distinctiveness, this study examines the identity structure of Hong Kong Twitter users as reflected in their tweets and how their structure changed over time during the Anti-Extradition Movement. By employing semantic network analysis and discursive historical analysis, we found that the identity structure expressed by Hong Kong Twitter users manifested a composite mesh of a sense of victimization, democratic values, sense of autonomy, and sense of helplessness. Moreover, the way Hong Kong Twitter users distinguished themselves from others was hybrid and miscible, justified by an affirmation for morality. The identity expression changed its emphasis regarding different identity concepts as the movement evolved. Implications on how social movement impacts identity politics, and vice versa, are also discussed.

Original languageEnglish
Pages (from-to)1436-1455
Number of pages20
JournalSocial Science Computer Review
Volume40
Issue number6
Early online date3 May 2021
DOIs
Publication statusPublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

User-Defined Keywords

  • Anti-Extradition Movement
  • distinctiveness
  • Hong Kong
  • inclusiveness
  • nested identity
  • semantic network analysis

Fingerprint

Dive into the research topics of 'The Expression of Cultural Identities in Hong Kong’s Anti-Extradition Law Amendment Bill Movement: A Semantic Network Analysis of Tweets'. Together they form a unique fingerprint.

Cite this