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Martin Mafunda

Datos Biográficos

ID6027488
NOMBREMartin Mafunda
NOMBRESMartin
APELLIDOMafunda
FIRMAMAFUNDA M
AFILIACIONESUniversity of KwaZulu-Natal
ORCID0000-0001-9008-5834
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS5
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • How language divides

    Open Access•K Durrheim, D Morselli et al.•ARTICLE•Political Psychology•2026

    Polarization is typically conceptualized as increasing distance between opposing attitudes. We argue instead that it unfolds through asymmetries in the group‐differentiating power of opinion language. In public discourse, actors use distinctive linguistic repertoires to signal alignment, mark boundaries, and render opinion landscapes intelligible. Conventional attitude scales estimate the distributions of private belief but cannot capture how the…

  • Alignment and Differentiation

    Open Access•D Morselli, K Durrheim et al.•ARTICLE•European Journal of Social…•2026•Referencias: 68

    This study examines the interplay between language and social connectedness in forming opinion‐based groups on social media. Drawing on small‐world theory and social identity theory, we propose a dual‐layer approach that combines semantic and network analysis to investigate the dynamics of group formation on X/Twitter during the 2021 COVID‐19 vaccination campaign in South Africa. Our findings reveal a nuanced process of social sorting, where user…

  • Speaker landscapes

    Maria Schuld, K Durrheim et al.•ARTICLE•Communication Methods and Measures•2023•Citada por: 5•Referencias: 10

    We propose a new method that embeds speakers into a spatial representation according to the linguistic similarity of their contributions to a debate. Such "speaker landscapes" can be constructed quantitatively using word embeddings by annotating text corpora of speech samples by tokens representing the speakers. The way embeddings are constructed from predictive machine learning models means that speaker-tokens are placed closer together if they …

  • Speaker landscapes

    Maria Schuld, K Durrheim et al.•ARTICLE•Communication Methods and Measures•2023•Citada por: 5•Referencias: 10

    We propose a new method that embeds speakers into a spatial representation according to the linguistic similarity of their contributions to a debate. Such "speaker landscapes" can be constructed quantitatively using word embeddings by annotating text corpora of speech samples by tokens representing the speakers. The way embeddings are constructed from predictive machine learning models means that speaker-tokens are placed closer together if they …

  • Speaker landscapes

    Maria Schuld, K Durrheim et al.•ARTICLE•Communication Methods and Measures•2023•Citada por: 5•Referencias: 10

    We propose a new method that embeds speakers into a spatial representation according to the linguistic similarity of their contributions to a debate. Such "speaker landscapes" can be constructed quantitatively using word embeddings by annotating text corpora of speech samples by tokens representing the speakers. The way embeddings are constructed from predictive machine learning models means that speaker-tokens are placed closer together if they …

  • How language divides

    Open Access•K Durrheim, D Morselli et al.•ARTICLE•Political Psychology•2026

    Polarization is typically conceptualized as increasing distance between opposing attitudes. We argue instead that it unfolds through asymmetries in the group‐differentiating power of opinion language. In public discourse, actors use distinctive linguistic repertoires to signal alignment, mark boundaries, and render opinion landscapes intelligible. Conventional attitude scales estimate the distributions of private belief but cannot capture how the…

  • Alignment and Differentiation

    Open Access•D Morselli, K Durrheim et al.•ARTICLE•European Journal of Social…•2026•Referencias: 68

    This study examines the interplay between language and social connectedness in forming opinion‐based groups on social media. Drawing on small‐world theory and social identity theory, we propose a dual‐layer approach that combines semantic and network analysis to investigate the dynamics of group formation on X/Twitter during the 2021 COVID‐19 vaccination campaign in South Africa. Our findings reveal a nuanced process of social sorting, where user…

Misinformation and Its Impacts (2 obras) · Artificial Intelligence (1 obras) · Computational and Text Analysis Methods (1 obras) · Computer Science (1 obras) · Construct (python library (1 obras) · Discourse analysis (1 obras) · Divergence (linguistics) (1 obras) · Group (periodic table) (1 obras) · Hate Speech and Cyberbullying Detection (1 obras) · Interpersonal ties (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae