Open AccessProceedings Article
Emoticon Style: Interpreting Differences in Emoticons Across Cultures
Jaram Park,Vladimir Barash,Clay Fink,Meeyoung Cha +3 more
- pp 466-475
TLDR
This paper investigates the semantic, cultural, and social aspects of emoticon usage on Twitter and shows that emoticons are not limited to conveying a specific emotion or used as jokes, but rather are socio-cultural norms, whose meaning can vary depending on the identity of the speaker.Abstract:
Emoticons are a key aspect of text-based communication, and are the equivalent of nonverbal cues to the medium of online chat, forums, and social media like Twitter. As emoticons become more widespread in computer mediated communication, a vocabulary of different symbols with subtle emotional distinctions emerges especially across different cultures. In this paper, we investigate the semantic, cultural, and social aspects of emoticon usage on Twitter and show that emoticons are not limited to conveying a specific emotion or used as jokes, but rather are socio-cultural norms, whose meaning can vary depending on the identity of the speaker. We also demonstrate how these norms propagate through the Twitter @-reply network. We confirm our results on a large-scale dataset of over one billion Tweets from different time periods and countries.read more
Citations
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Proceedings Article
Fusing Audio, Textual, and Visual Features for Sentiment Analysis of News Videos.
Moisés Henrique Ramos Pereira,Flávio Luis Cardeal Pádua,Adriano C. M. Pereira,Fabrício Benevenuto,Daniel Hasan Dalip +4 more
TL;DR: This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents, which achieves an accuracy of up to 84% in the sentiments (tension levels) classification task, demonstrating its high potential to be used by media analysts in several applications, especially in the journalistic domain.
Dissertation
Rhetorical moves and identity performance in online child sexual abuse interactions
TL;DR: This article explored linguistic expressions of identity by participants across a range of online child sexual abuse (OCSA) interactions, including offenders and suspected offenders, victims, and undercover police officers, exploring how participants use rhetorical moves as a resource for identity performance.
Journal ArticleDOI
Emoticon-Based Ambivalent Expression: A Hidden Indicator for Unusual Behaviors in Weibo
Yue Hu,Jichang Zhao,Junjie Wu +2 more
TL;DR: By tracing the emoticon use in Weibo, a group of hidden “ambivalent users” are disclosed for frequently posting ambivalent tweets containing both positive and negative emotions, and this ambivalent expression could be a novel indicator of many unusual social behaviors.
Proceedings ArticleDOI
Understanding Diverse Interpretations of Animated GIFs
TL;DR: Overall, it is shown that there is potential for miscommunication in animated GIFs, and Animated GIFs may be a more nuanced form of nonverbal communication than emoticons and emoji.
Understanding and fighting bullying with machine learning
TL;DR: In this paper, the authors identify factors that influence bullying involvement in a timely fashion and identify the most important factors for bullying involvement among adolescents in both physical and cyber worlds, in both the physical and online worlds.
References
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Proceedings Article
Measuring User Influence in Twitter: The Million Follower Fallacy
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Journal ArticleDOI
An evolutionary approach to norms
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Journal ArticleDOI
The Dissemination of Culture: A Model with Local Convergence and Global Polarization
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