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LIWC Text Analysis×Manifest Content Analysis×
حوزهCommunicationCommunication
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش20011952
پدیدآورJames W. Pennebaker and colleaguesBernard Berelson; codified by Klaus Krippendorff
نوعDictionary-based quantitative text analysisSystematic quantitative coding of explicit message content
منبع بنیادینTausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. DOI ↗Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9780761915454
نام‌های دیگرLinguistic Inquiry and Word Count, LIWC dictionary analysis, Word-count text analysis, LIWC Metin AnaliziQuantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysis
مرتبط45
خلاصهLIWC (Linguistic Inquiry and Word Count) is a dictionary-based text-analysis method that counts the proportion of words in a text falling into psychologically and linguistically meaningful categories — such as positive emotion, cognitive processing, social references, and function words like pronouns. Developed by James Pennebaker and colleagues, it has become a workhorse for quantifying the psychological and rhetorical character of communication at scale.Manifest content analysis is a quantitative research technique that systematically counts the explicit, surface-level features of communication messages — words, sources, themes, images, or actors that are directly visible in the text or media artifact — according to a predefined coding scheme. Rooted in Bernard Berelson's classic definition of content analysis as the 'objective, systematic, and quantitative description of the manifest content of communication,' it is one of the foundational empirical methods of mass communication and media research.
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ScholarGateمقایسهٔ روش‌ها: LIWC Text Analysis · Manifest Content Analysis. بازیابی‌شده در 2026-06-24 از https://scholargate.app/fa/compare