Везде
"TRUST": CONCEPTUALIZATION AND OPERATIONALIZATION OF THE CONCEPT IN CORPUS LINGUISTICS
Table of contents
Annotation Estimate Publication content
References Comments
Share
QR
Metrics
"TRUST": CONCEPTUALIZATION AND OPERATIONALIZATION OF THE CONCEPT IN CORPUS LINGUISTICS
Annotation
PII
S0132-16250000375-8-1
Publication type
Article
Status
Published
Authors
Elena Vasilyeva  Maria Rubtsova
Edition
Volume 381 Issue 1
Pages
58-65
Abstract
A method for studying the institutional and lexical context based on corpus linguistics is proposed. This allows you to conceptualize and operationalize the concept of “trust". The method combines quantitative and qualitative analysis of the encoded mass media array, followed by statistical processing. The study revealed that the category “trust” is used in the context of political institutions. At the same time, the personal qualities of politicians are less important than their formal status and willingness to negotiate.
Keywords
trust, operationalization, conceptualization, institutional and lexical context, corpus linguistics
Date of publication
01.01.2016
Number of purchasers
1
Views
499
Readers community rating
0.0 (0 votes)
Cite Download pdf

References



Additional sources and materials

Britanskij Natsional'nyj korpus. URL: http: //www.natcorp.ox.ac.uk / (data obrascheniya: 01.03.2015).


Dal' V.I. Tolkovyj slovar' zhivogo velikorusskogo yazyka. T. 1. M.: GIS, 1956.


Natsional'nyj korpus russkogo yazyka. URL: http: //www.ruscorpora.ru / (data obrascheniya: 01.03.2015).


Ozhegov S.I. Slovar' russkogo yazyka. M.: Oniks Mir i Obrazovanie, 2010.


Ushakov D.N. Bol'shoj tolkovyj slovar' russkogo yazyka. Moskva: Dom Slavyanskoj knigi, 2008.


Abulof U. Normative concepts analysis: unpacking the language of legitimation // International Journal of Social Research Methodology. 2015. Vol. 18. № 1. R. 73–89.


Blei D.M. Probabilistic Topic Models // Communications of the Acm. 2012. T. 55. № 4. S. 77–84.


Corpora and Discourse: The Challenges of Different Settings // Corpora and Discourse: the Challenges of Different Settings. 2008. T. 31. R. 1–297.


Grimmer J., Stewart B. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts // Political Analysis. 2013. T. 21. № 3. S. 267–297.


Lazarsfeld P.F. The sociology of empirical social research // American Sociological Review. 1962. Vol. 27. № 6. R. 757–767


Liu B. Sentiment analysis and opinion mining. Morgan & Claypool Publishers, 2012.


McEnery T., Hardie A. Corpus linguistics: Method, theory and practice. Cambridge: Cambridge University Press, 2012.


McEnery T., Wilson A. Corpus Linguistics. Edinburgh: Edinburgh University Press, 2001.


Rubtcova M.V., Pavenkov V.G., Pavenkov O.V. The Concept ‘Altruism’ for Sociological Research: From Conceptualization to Operationalization // ArXiv.org e-Print. Computation and Language. Cornell University, Ithaca N.Y., United States, tom 1503 arXiv:1503.01258, (March 4, 2015).


Schonhardt-Bailey C. Measuring ideas more effectively: An analysis of Bush and Kerry’s national security speeches // Ps-Political Science & Politics. 2005. T. 38. № 4. R. 701–711.

Comments

No posts found

Write a review
Translate