2014
DOI: 10.1111/jcom.12086
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Cross-Cultural Comparison of Nonverbal Cues in Emoticons on Twitter: Evidence from Big Data Analysis

Abstract: Relying on Gudykunst's cultural variability in communication (CVC) framework and culture‐specific facial expressions of emotion, we examined how people's use of emoticons varies cross‐culturally. By merging emoticon usage patterns on Twitter with Hofstede's national culture scores and national indicators across 78 countries, this study found that people within individualistic cultures favor horizontal and mouth‐oriented emoticons like :), while those within collectivistic cultures favor vertical and eye‐orient… Show more

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Cited by 100 publications
(87 citation statements)
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“…Second, we only manipulated the valence and the sender of the Facebook posts. Yet, as previous research shows (e.g., Ganster et al 2012;Lo 2008;Park et al 2014), non-verbal cues are commonly used for online communication, which we did not include in either the positively or in the negatively valenced comments. Thus, future research should analyze, whether those cues trigger different reactions or intensify the observed effects.…”
Section: Limitations and Further Researchmentioning
confidence: 99%
“…Second, we only manipulated the valence and the sender of the Facebook posts. Yet, as previous research shows (e.g., Ganster et al 2012;Lo 2008;Park et al 2014), non-verbal cues are commonly used for online communication, which we did not include in either the positively or in the negatively valenced comments. Thus, future research should analyze, whether those cues trigger different reactions or intensify the observed effects.…”
Section: Limitations and Further Researchmentioning
confidence: 99%
“…Volkova et al (2013), Chmiel et al (2011)). Park et al (2014) studied how the use of emoticons differ across cultures in Twitter data. Panayiotou (2004) studied how bilinguals express emotions in faceto-face environments in different languages.…”
Section: Non-linguistic Featuresmentioning
confidence: 99%
“…While features, such as contextual cues (e.g. time and location, which are often automatically recorded) and emoticons, for example, may go some way to allow for this (see Park et al, 2014 andKalman andGergle, 2014), we are somewhat more reliant on what is being said rather than how it is communicated when communicating via digital means.…”
Section: Discussionmentioning
confidence: 99%