Sarcasm in Written Communication: Emoticons are Efficient Markers of Intention

Thompson, Dominic; Filik, Ruth

doi:10.1111/jcc4.12156

Cited by 157 publications

(107 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus we propose to give a highly efficient method [12] of finding the sentiment of the person by analysing the text messages and also processing emoticons. Emoticons [25] are very common tokens in any text message in the new world, therefore we must also focus on efficient ways to analyse them. We have converted emoticons to textual form for our computation processes.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Information extraction from text messages using data mining techniques

Ahmad¹,

Varma²

2018

Malaya J. Mat.

View full text Add to dashboard Cite

We are living in an era of increased pressure and mental disorders. The increased level of stress and pressure results in inclination of the number of people showing suicidal tendencies and thus a larger number of people are committing suicide. Stress can be caused due to family dispute, job dissatisfaction, health issues, etc. In the world of modern computing, people feel free to share their views and feelings over social media with peers and family members via services such as messaging. Due to the reserved nature and busy schedules of people it is extremely difficult to interact with peers and family members in person, therefore social media platforms are considered as the most used platform for personal conversations. The aim of this paper is to estimate the suicidal tendencies of a person by applying data mining techniques to the text messages a person sends to the associated people. By analysing the components of the text messages (key words and emoticons) we can estimate the suicidal tendencies of a person so that necessary steps can be taken in order to save the life of the subject.

show abstract

Section: Resultsmentioning

confidence: 99%

“…The emoticons are classified into following two categories: Positive emoticons: these are the emoticons which convey positive sentiment and are replaced by positive words based on the symbol [25]. …”

Section: Model Components Sentiment Analysismentioning

confidence: 99%

Information extraction from text messages using data mining techniques

Ahmad¹,

Varma²

2018

Malaya J. Mat.

View full text Add to dashboard Cite

show abstract

“…Unlike face-to-face communications, where nonverbal cues are simultaneously sent as the complements to help clarify verbal messages, early CMCs lacked non-verbal cues, largely constraining its communicative ability (Lo, 2008;Walther & D'Addario, 2001). The development and adoption of emojis helped address this issue by providing communicators with an easy way to add non-verbal cues on their verbal messages in the CMC (Derks, Bos, & Von Grumbkow, 2008;Thompson & Filik, 2016;Yuasa, Saito, & Mukawa, 2011). Currently, there are two general types of emojis, namely, face emojis and non-face emojis (Riordan, 2017a).…”

Section: The Communicative Role Of Emojismentioning

confidence: 99%

“…Face emojis were evolved from its predecessor, emoticons (i.e., emotional icons), while non-face emojis were added later as the extension (Thompson & Filik, 2016). Because of its early emergence as emoticons, face emojis were the major focus of previous research, and their communicative roles have been studied widely.…”

Section: The Communicative Role Of Emojismentioning

confidence: 99%

“…First, the CMC has been recognized for its lack of non-verbal cues for a long time (Derks et al, 2007;Lo, 2008;Walther & D'Addario, 2001). Given its communicative role, emojis can enrich the non-verbal cues of brand social media posts, thus, improving the brand posts' ability to convey multiple cues Thompson & Filik, 2016;Yuasa et al, 2011). Second, in the digital world, the use of emojis is often related to the communicator's personality.…”

Section: Emoji Use Perceived Media Richness and Consumer Engagementmentioning

confidence: 99%

See 1 more Smart Citation

Three Essays on Understanding Consumer Engagement with Brand Posts on Social Media

Deng¹

View full text Add to dashboard Cite

The rapid proliferation of social media over the last ten years has revolutionized the way that brands and consumers connect, communicate, and interact with each other. Nowadays, approaching creative brand posts in a way that maximizes consumer engagement has become a growing challenge to social media marketers. This thesis addresses this challenge and aims to understand how to enhance consumer engagement with brand posts on social media through the lens of linguistics. To achieve this goal, three independent but related papers were conducted to 1) investigate how the linguistic styles of brand social media posts influence consumer engagement; 2) examine the interactive impacts of consumer comment valence and brand response language style on consumers' evaluation of brand and their intention for future engagement with the brand; and 3) explore whether and how incorporating emojis in brand social media posts affects consumer engagement with the posts. The findings of this thesis reveal that, for brands, using proper language when communicating with consumers on social media can improve consumers' perceptions of brands and enhance their engagement with brands. The results of this thesis deepen our understanding of the role that brand language plays in influencing consumer engagement on social media as well as provide many practical guidelines for social media marketers regarding the language they use in communicating with consumers on social media.

show abstract

Emojis as heuristic cues: The multifaceted role of emojis in online service interactions

Shuqair,

Pinto,

Herter

et al. 2024

J of Consumer Behaviour

View full text Add to dashboard Cite

Recent technological advances have allowed businesses to adopt emojis when interacting with consumers. To gain in‐depth theoretical and managerial insight into this trend, five pre‐registered studies (1 field observation and four controlled experiments) indicate that emojis in digital communication work as heuristic cues that might have a differential effect depending on elaboration likelihood and outcome valence. Drawing on the Heuristic Information Processing and elaboration likelihood model, this research reveals that emojis can systematically influence consumers' elaboration. Findings indicate that low elaboration in positive encounters results in a positive heuristic cue boost (emojis improve customer evaluation). In turn, high elaboration on negative service outcomes makes the heuristic content relevant, such that positive (vs. negative) emojis will bring attention to and reinforce the interaction's positive (vs. negative) aspects. This research contributes to emerging studies on the role of emojis in digital communication.

show abstract

Sarcasm in Written Communication: Emoticons are Efficient Markers of Intention

Cited by 157 publications

References 27 publications

Information extraction from text messages using data mining techniques

Information extraction from text messages using data mining techniques

Three Essays on Understanding Consumer Engagement with Brand Posts on Social Media

Emojis as heuristic cues: The multifaceted role of emojis in online service interactions

Contact Info

Product

Resources

About