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WHO AM I: STRATEGY OR ACCIDENT? : COMPUTER BASED CONTENTS ANALYSIS OF CARTOONS AND MEMES OF V. ZELENSKY

WHO AM I: STRATEGY OR ACCIDENT? : COMPUTER BASED CONTENTS ANALYSIS OF CARTOONS AND MEMES OF V. ZELENSKY

Abstract

The rapid development of social media in recent years has led to the emergence of new forms of political communication, in particular visual communication, represented by the genres “cartoons” and “memes”. These genres are the subject of many different disciplines: cultural studies, communication/media studies, media linguistics, political science, political linguistics, cognitive linguistics, semiotics. The paper deals with analysis of more than 600 political cartoons and memes of President Zelensky. Methodology includes computer based content analysis (MAXQDA 2018) and multimodal discourse analysis. The combination of quantitative and qualitative methods for the analysis of multimodal genres not only expands the methodological tools of researchers of humorous discourse, but also ensures the reliability of the results. The caricatures and memes included in the research corpus come from Ukrainian and foreign open sources: (https://www.facebook.com/ PerecRepublic/), (https://www.facebook.com/ProtsyshynOfficial), (https:// www.facebook.com/babaandkit), (https://www.facebook.com/gonimem), (h tt ps: // www.f ac ebo ok .co m/ per sh pri va tn ame ma rny a),(h tt ps :/ / www.radiosvoboda.org/z/752), інтернет-галереї https://janson- karikatur.de/, https://www.cagle.com/, https://www.gocomics.com/comics/ political. A code system consists of formal and semantic codes. Formal codes include “cartoon / meme type” with subcodes “with text”, “without text”, “individual”, “group”, “impersonal” and “hybrid”. The semantic codes in include “humorous techniques” and “levels of communication”, as caricatures and memes are a genre of humorous discourse and at the same time a multimodal text in which verbal and nonverbal components are combined and interact. Any multimodal text of humorous discourse functions in a specific social context, which has been analyzed on the basis of the code “chronotope”, which included the following subcodes: “election campaign and elections”, “inauguration”, “100 days”, “domestic policy”, “foreign policy”, “year in power”. As results of quantitative analysis the individual cartoon/meme type dominates (335 documents), which is 54% of the total number of analyzed documents. Quantitative analysis of humorous techniques showed that the most frequent are satire (62,4 %), association (49,7%), parody (39,2 %) and contradiction (31,3 %). The analysis of political caricatures and memes, which cover certain aspects of Volodymyr Zelensky’s activity as president, showed that his activity was and is the object of rather sharp criticism, which finds its expression in humorous genres.

Быстрое развитие социальных медиа в последние годы обусловило появление новых форм политической коммуникации, в том числе визуальной коммуникации, представленной жанрами «карикатура» и «мемы». Эти жанры являются предметом многих различных дисциплин: культурологии, медиаведения, медиалингвистики, политологии, политической лингвистики, когнитивной лингвистики, семиотики. В статье проанализированы более 600 политических карикатур и мемов на президента В. Зеленского. Использованы методы компьютерного контент-анализа (MAXQDA 2018) и мультимодальный дискурс анализ. 

Швидкий розвиток соціальних медіа в останні роки зумовив появу нових форм політичної комунікації, зокрема візуальної комунікації, представленої жанрами «карикатура» та «меми». Ці жанри є предметом багатьох різних дисциплін: культурології, медіазнавства, медіалінгвістики, політології, політичної лінгвістики, когнітивної лінгвістики, семіотики. У статті проаналізовано понад 600 політичних карикатур і мемів на президента В.Зеленського. Використано методи комп’ютерного контент-аналізу (MAXQDA 2018) та мультимодальний дискурс-аналіз. 

Keywords

cultural code, компьютерный контент-анализ, візуальна комунікація, computer based content analysis, visual communication, карикатура, политическая коммуникация, humorous discourse, гумористичний дискурс, жанр, політична комунікація, визуальная коммуникация, культурный код, мем, юмористический дискурс, genre, культурний код, мультимодальность, мультимодальність, комп’ютерний контент-аналіз, cartoon, political communication, meme, multimodality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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