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Emoticons and non-verbal communications across Arabic, English, and Korean Tweets

Emoticons and non-verbal communications across Arabic, English, and Korean Tweets The purpose of this study is to examine how tweeters drawn from three different languages and cultural boundaries manage the lack of contextual cues through an analysis of Arabic, English and Korean tweets.Design/methodology/approachData for this study is drawn from a corpus of tweets (n = 1,200) streamed using Python through Twitter API. Using the language information, the authors limited the number of tweets to 400 randomly selected tweets from each language, totaling 1,200 tweets. Final coding taxonomy was derived through interactive processes preceded by literature and a preliminary analysis based on a small subset (n = 150) by isolating nonverbal communication devices and emoticons.FindingsThe results of the study present that there is great commonality across these tweets in terms of strategies and creativity in compensating for the constraints imposed by the tweet platform. The language-specific characteristics are also shown in the form of different usage of devices.Research limitations/implicationsEmoticon usage indicates that the communication mode influences online social interaction; the restriction of 140 maximum characters seems to engender a frequent usage of emoticons across tweets regardless of language differences. The results of the study bring forth implications into the design of social media technologies that reflect affective aspects of communication and language-/culture-specific traits and characteristics.Originality/valueTo the best of the authors’ knowledge, there are no qualitative studies examining paralinguistic nonverbal communication cues in the Twitter platform across language boundaries. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Global Knowledge, Memory and Communication" Emerald Publishing

Emoticons and non-verbal communications across Arabic, English, and Korean Tweets

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2514-9342
DOI
10.1108/gkmc-02-2020-0021
Publisher site
See Article on Publisher Site

Abstract

The purpose of this study is to examine how tweeters drawn from three different languages and cultural boundaries manage the lack of contextual cues through an analysis of Arabic, English and Korean tweets.Design/methodology/approachData for this study is drawn from a corpus of tweets (n = 1,200) streamed using Python through Twitter API. Using the language information, the authors limited the number of tweets to 400 randomly selected tweets from each language, totaling 1,200 tweets. Final coding taxonomy was derived through interactive processes preceded by literature and a preliminary analysis based on a small subset (n = 150) by isolating nonverbal communication devices and emoticons.FindingsThe results of the study present that there is great commonality across these tweets in terms of strategies and creativity in compensating for the constraints imposed by the tweet platform. The language-specific characteristics are also shown in the form of different usage of devices.Research limitations/implicationsEmoticon usage indicates that the communication mode influences online social interaction; the restriction of 140 maximum characters seems to engender a frequent usage of emoticons across tweets regardless of language differences. The results of the study bring forth implications into the design of social media technologies that reflect affective aspects of communication and language-/culture-specific traits and characteristics.Originality/valueTo the best of the authors’ knowledge, there are no qualitative studies examining paralinguistic nonverbal communication cues in the Twitter platform across language boundaries.

Journal

"Global Knowledge, Memory and Communication"Emerald Publishing

Published: Oct 20, 2020

Keywords: Cross-cultural comparison; Online community; Computer-mediated communication; Tweets; Emoticons; Nonverbal communications; Online community across languages

References