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Nga Than

Biographic Data

ID173628
NAMENga Than
GIVEN NAMESNga
FAMILY NAMEThan
SIGNATURETHAN N
AFFILIATIONSCity University of New York
ORCID0000-0002-6845-6253
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS10
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Updating 'The Future of Coding

    Open Access•Nga Than, Leanne Fan et al.•ARTICLE•Sociological Methods & Research•2025•Cited by: 4•References: 33

    Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using natural language, potentially mimicking the in-depth, inductive, and/or iterative process of qualita…

  • Attitudes about refugees and immigrants arriving in the United States

    L G Steele, Lamis Abdelaaty et al.•ARTICLE•Ethnic and Racial Studies•2023

    From 2013 to 2018, the global refugee population increased by about 50 per cent. Although public opinion toward refugees plays a key role in shaping related policies, scholarly research on this topic remains limited. Using original data from a nationally representative conjoint survey experiment conducted in 2019, we examine whether US citizens’ attitudes toward refugees are distinct from their attitudes toward other types of immigrants to the US…

  • Lorrydeaths

    Open Access•Nga Than, Friederike Windel et al.•ARTICLE•Frontiers in Sociology•2022•References: 17

    In this article, we analyze anti- and pro-immigrant attitudes expressed following the Essex Lorry Deaths tragedy in October 2019 in Britain, in which 39 Vietnamese immigrants died in a sealed lorry truck on their way to their destination. We apply Structural Topic Modeling, an automated text analysis method, to a Twitter dataset ( N = 4,376), to understand public responses to the Lorry Deaths incident. We find that Twitter users' posts were organ…

  • Color‐blind and racially suppressive discourses on German‐speaking Twitter

    Open Access•Friederike Windel, Nga Than et al.•ARTICLE•Journal of Community & Applied…•2022•Cited by: 1•References: 9

    This study examined German‐speaking Twitter users' reckoning with racism in response to the right‐wing extremist shootings that targeted ethnic minorities in Hanau, Germany. We employed a mixed‐methods analysis combining Structural Topic Modelling (STM) and discourse analysis. We used STM to identify broad topic patterns and focused on the topics involving the racialized commentary the German‐speaking public offered in the aftermath of Hanau. The…

  • The extreme gone mainstream

    Open Access•Nga Than•ARTICLE•European Journal of Cultural and…•2020

    The Extreme Gone Mainstream: Commercialization and Far Right Youth Culture in Germany investigates the transformation of fashion among German youth who are in and around the far-right scene. Specif

  • Uberland

    Open Access•Nga Than•ARTICLE•Sociological Forum•2020

  • Castañeda, Ernesto, A Place to Call Home

    Open Access•Nga Than, N t Thi Than•ARTICLE•The Canadian Journal of Sociology•2019•Cited by: 5

  • Castañeda, Ernesto, A Place to Call Home

    Open Access•Nga Than, N t Thi Than•ARTICLE•The Canadian Journal of Sociology•2019•Cited by: 5

  • Updating 'The Future of Coding

    Open Access•Nga Than, Leanne Fan et al.•ARTICLE•Sociological Methods & Research•2025•Cited by: 4•References: 33

    Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using natural language, potentially mimicking the in-depth, inductive, and/or iterative process of qualita…

  • Color‐blind and racially suppressive discourses on German‐speaking Twitter

    Open Access•Friederike Windel, Nga Than et al.•ARTICLE•Journal of Community & Applied…•2022•Cited by: 1•References: 9

    This study examined German‐speaking Twitter users' reckoning with racism in response to the right‐wing extremist shootings that targeted ethnic minorities in Hanau, Germany. We employed a mixed‐methods analysis combining Structural Topic Modelling (STM) and discourse analysis. We used STM to identify broad topic patterns and focused on the topics involving the racialized commentary the German‐speaking public offered in the aftermath of Hanau. The…

  • Castañeda, Ernesto, A Place to Call Home

    Open Access•Nga Than, N t Thi Than•ARTICLE•The Canadian Journal of Sociology•2019•Cited by: 5

  • The extreme gone mainstream

    Open Access•Nga Than•ARTICLE•European Journal of Cultural and…•2020

    The Extreme Gone Mainstream: Commercialization and Far Right Youth Culture in Germany investigates the transformation of fashion among German youth who are in and around the far-right scene. Specif

  • Uberland

    Open Access•Nga Than•ARTICLE•Sociological Forum•2020

  • Lorrydeaths

    Open Access•Nga Than, Friederike Windel et al.•ARTICLE•Frontiers in Sociology•2022•References: 17

    In this article, we analyze anti- and pro-immigrant attitudes expressed following the Essex Lorry Deaths tragedy in October 2019 in Britain, in which 39 Vietnamese immigrants died in a sealed lorry truck on their way to their destination. We apply Structural Topic Modeling, an automated text analysis method, to a Twitter dataset ( N = 4,376), to understand public responses to the Lorry Deaths incident. We find that Twitter users' posts were organ…

  • Color‐blind and racially suppressive discourses on German‐speaking Twitter

    Open Access•Friederike Windel, Nga Than et al.•ARTICLE•Journal of Community & Applied…•2022•Cited by: 1•References: 9

    This study examined German‐speaking Twitter users' reckoning with racism in response to the right‐wing extremist shootings that targeted ethnic minorities in Hanau, Germany. We employed a mixed‐methods analysis combining Structural Topic Modelling (STM) and discourse analysis. We used STM to identify broad topic patterns and focused on the topics involving the racialized commentary the German‐speaking public offered in the aftermath of Hanau. The…

  • Attitudes about refugees and immigrants arriving in the United States

    L G Steele, Lamis Abdelaaty et al.•ARTICLE•Ethnic and Racial Studies•2023

    From 2013 to 2018, the global refugee population increased by about 50 per cent. Although public opinion toward refugees plays a key role in shaping related policies, scholarly research on this topic remains limited. Using original data from a nationally representative conjoint survey experiment conducted in 2019, we examine whether US citizens’ attitudes toward refugees are distinct from their attitudes toward other types of immigrants to the US…

  • Updating 'The Future of Coding

    Open Access•Nga Than, Leanne Fan et al.•ARTICLE•Sociological Methods & Research•2025•Cited by: 4•References: 33

    Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using natural language, potentially mimicking the in-depth, inductive, and/or iterative process of qualita…

Sociology (7 works) · Law (5 works) · Political science (5 works) · Gender Studies (4 works) · Computational and Text Analysis Methods (3 works) · Immigration (3 works) · Law (3 works) · Media studies (3 works) · Politics (3 works) · Computer Science (2 works)

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