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Multifaceted approach of corpus analysis for characterizing Christian religious groups

Datos Bibliográficos

ID3867873
AutoresRaymund T Palayon (0009-0007-4676-606X, King Mongkut's Institute of Technology Ladkrabang, autor de correspondencia), Richard Watson Todd (0000-0002-5036-967X, King Mongkut's University of Technology Thonburi), Sompatu Vungthong (0000-0003-0851-6004, King Mongkut's University of Technology Thonburi)
Año2025
Volumen13
Número2
Páginas222-245
Fecha de publicación2025-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCritical Research on Religion (JOURNAL)
Identificadores de la revistaISSN: 2050-3032 • E-ISSN: 2050-3040
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/20503032251344351
OpenAlexW4411190031
IdiomaEN
Referencias citadas36

The use of a range of corpus-based methods to systematically examine religious groups from a language perspective remains relatively unexplored. This paper highlights the procedures and contributions of five corpus analyses used to examine various Christian religious groups. The target groups were categorized into mainstream religion, sect, cult, and destructive cult based on their social characteristics and the linguistic features in the sermons of the leaders were analyzed. The linguistic patterns reveal the similarities and differences between mainstream religious groups and sects, differentiate the characteristics of sects from cults, and highlight the potential progression of cults into destructive cults. All groups are elaborative and persuasive in discourse; however, cults and destructive cults are more elaborative and persuasive than mainstream religious groups and sects. This paper allows us to see the significance of language and various corpus-based methods for identifying the stage of development of a potentially harmful religious group

Epistemology · Linguistics · Political science · Sociology · Media, Religion, Digital Communication · Mormonism, Religion, and History · Philosophy · Religion and Society Interactions · Religious studies

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