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A psycholinguistic analysis of presidential? discourses concerning the COVID-19 context: authenticity and emotional tone

Author

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  • Sandra Figueiredo

    (Universidade Autónoma de Lisboa)

Abstract

This study aims to examine authentic discourses of eight country leaders, in two different periods of the COVID-19 context, in order to analyze how their authenticity traits and emotional tone might have changed between February and April of 2020 and according to the updated pandemic numbers of each country. Countries and their leaders were selected based on the West and East representation of the North Hemisphere and with no ethnicity concepts attached. The Linguistic Inquiry and Word Count (LIWC 2015, v. 1.6.0. 2019) instrument was administered to establish the segmentation and codification of 16 international discourses. The texts were coded considering the linguistic dimensions and psychological categories. After the dataset of 39 073 words concluded, the correlation was computed to link linguistic samples with low/high emotional properties (and taking into account the linguistic style of the Presidents). For this specific paper, the data focused the emotional tone and the perceptual processes. The word count will not be addressed attending to the lexicon frequency, the grammar organization and syntax properties of the eight languages. The samples revealed psycholinguistic controversy registered in the two sessions of presidential discourses. Results for authenticity have shown that the Presidents from US, UK and France were more authentic, contrary to Russian and Chinese leaders? discourses. The emotional tone was negative (above

Suggested Citation

  • Sandra Figueiredo, 2020. "A psycholinguistic analysis of presidential? discourses concerning the COVID-19 context: authenticity and emotional tone," Proceedings of International Academic Conferences 10613009, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:10613009
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    More about this item

    Keywords

    Psycholinguistics; COVID-19; Discourse Analysis; International Leaders; LIWC.;
    All these keywords.

    JEL classification:

    • F29 - International Economics - - International Factor Movements and International Business - - - Other
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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