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Mo Han

Biographic Data

ID6387967
NAMEMo Han
GIVEN NAMESMo
FAMILY NAMEHan
SIGNATUREHAN M
AFFILIATIONSUniversity at Buffalo, Buffalo, NY, USA
ORCID0000-0003-0734-8256
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Evaluating Citizen Participation in Local Public Meetings

    Open Access•Xuanyi Nie, Haijing Liu et al.•ARTICLE•Journal of Planning Education and…•2025•References: 10

    Citizen participation in local public meetings is crucial for planning decision-making processes. This study employed large language models (LLMs), specifically ChatGPT models, to analyze more than 4,000 transcripts of local planning public meetings in the United States between 2006 and 2023. We quantify citizen participation levels and explore their relationship with public meeting topics. Findings align with previous scholarship that local publ…

  • Mapping gender patterns in “dynamic cultural spaces”

    Open Access•Guanliang Liu, Peiqing Cao et al.•ARTICLE•Humanities and Social Sciences…•2024

    Despite the growing recognition of the importance of street vendors and informal markets for urban life and the economy globally, research attention has tended to focus on essential products such as food or clothes and paid less attention to cultural products, such as antiques where potential gender, and other socio-demographic, differences in vending and buying behaviours may systematically differ. To explore these issues, this study employed sp…

  • Unlocking Blended Emotions and Underlying Drivers

    Open Access•Li Yin, Mo Han et al.•ARTICLE•Urban Science•2024•References: 6

    The conclusions drawn from commonly used topic modeling and sentiment analysis of COVID-19 vaccination discussions on social media often hinge on researchers’ interpretation. These methods inadequately capture the nuanced real-world human emotions and struggle with identifying sarcasm and handling mixed sentiments. This study uses OpenAI API and its Large Language Models (LLM) to analyze tweets to further the discussion on improving vaccination l…

  • Escaping from the identity enclave

    Open Access•Xuanyi Nie, Mo Han et al.•ARTICLE•Population Space and Place•2023•Cited by: 2•References: 24

    China has undergone unprecedented waves of internal migration over the past decades. However, the discriminatory hukou system puts migrants into an ‘identity enclave’ which challenges migrants' perception of place and identity, thus reducing their settlement intention. In the meantime, existing literature has also highlighted the positive roles of social bonds and social networks in migrants' decision to stay. Based on the theories of social capi…

  • Escaping from the identity enclave

    Open Access•Xuanyi Nie, Mo Han et al.•ARTICLE•Population Space and Place•2023•Cited by: 2•References: 24

    China has undergone unprecedented waves of internal migration over the past decades. However, the discriminatory hukou system puts migrants into an ‘identity enclave’ which challenges migrants' perception of place and identity, thus reducing their settlement intention. In the meantime, existing literature has also highlighted the positive roles of social bonds and social networks in migrants' decision to stay. Based on the theories of social capi…

  • Escaping from the identity enclave

    Open Access•Xuanyi Nie, Mo Han et al.•ARTICLE•Population Space and Place•2023•Cited by: 2•References: 24

    China has undergone unprecedented waves of internal migration over the past decades. However, the discriminatory hukou system puts migrants into an ‘identity enclave’ which challenges migrants' perception of place and identity, thus reducing their settlement intention. In the meantime, existing literature has also highlighted the positive roles of social bonds and social networks in migrants' decision to stay. Based on the theories of social capi…

  • Mapping gender patterns in “dynamic cultural spaces”

    Open Access•Guanliang Liu, Peiqing Cao et al.•ARTICLE•Humanities and Social Sciences…•2024

    Despite the growing recognition of the importance of street vendors and informal markets for urban life and the economy globally, research attention has tended to focus on essential products such as food or clothes and paid less attention to cultural products, such as antiques where potential gender, and other socio-demographic, differences in vending and buying behaviours may systematically differ. To explore these issues, this study employed sp…

  • Unlocking Blended Emotions and Underlying Drivers

    Open Access•Li Yin, Mo Han et al.•ARTICLE•Urban Science•2024•References: 6

    The conclusions drawn from commonly used topic modeling and sentiment analysis of COVID-19 vaccination discussions on social media often hinge on researchers’ interpretation. These methods inadequately capture the nuanced real-world human emotions and struggle with identifying sarcasm and handling mixed sentiments. This study uses OpenAI API and its Large Language Models (LLM) to analyze tweets to further the discussion on improving vaccination l…

  • Evaluating Citizen Participation in Local Public Meetings

    Open Access•Xuanyi Nie, Haijing Liu et al.•ARTICLE•Journal of Planning Education and…•2025•References: 10

    Citizen participation in local public meetings is crucial for planning decision-making processes. This study employed large language models (LLMs), specifically ChatGPT models, to analyze more than 4,000 transcripts of local planning public meetings in the United States between 2006 and 2023. We quantify citizen participation levels and explore their relationship with public meeting topics. Findings align with previous scholarship that local publ…

Business (2 works) · China (2 works) · Political science (2 works) · Psychology (2 works) · Social Psychology (2 works) · Social Psychology (2 works) · Sociology (2 works) · Advertising (1 work) · Antique (1 work) · Artificial Intelligence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae