Relevant bibliographies by topics / Emoji

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Emoji'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Emoji"

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Wuryanto, Baskoro Adi, and Eurico Kevin Pratama. "REJUVENATING SCRIPT FORMAT: THE USE OF EMOJI IN SCRIPTWRITING (A CASE STUDY ON "KENAPA GUE?" IN OTT VIDIO SERIES)." LAYAR: Jurnal Ilmiah Seni Media Rekam 10, no. 2 (2024): 135. http://dx.doi.org/10.26742/layar.v10i2.3115.

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ABSTRACT
 This research explores the rejuvenation of script format through the innovative incorporation of emojis in scriptwriting. Despite their widespread use in digital communication, emojis have not been conventionally integrated into film scripts. This study aims to investigate the strategic use of emojis as visual elements to enrich communication and evoke emotions effectively in the film narrative. A key case study analyzed in this research is the Indonesian web series, "Kenapa Gue?", produced by Vidio Originals. This series dominantly capture lives on computer and smartphone screens, adeptly weaving together various digital platforms to craft a captivating mystery. Emojis play a pivotal role in "Kenapa Gue?" by visually conveying character emotions and enhancing the authenticity of dialogue. Through an in-depth examination of the impact of including emojis in scripts, this study examines the potential benefits and challenges. By conducting surveys and analyzing the case study, we explore how the creative integration of emojis fosters a more engaging and collaborative environment during production, ultimately elevating the film narrative. This research introduces a novel perspective on scriptwriting, highlighting the seamless blend of emojis with contemporary storytelling. By advocating for the inclusion of emojis as expressive tools within scripts, this study positions emojis as valuable assets in the film industry, rejuvenating the art of scriptwriting and elevating cinematic expression. In conclusion, this study bridges the gap in conventional scriptwriting practices, inspiring filmmakers and scriptwriters to harness the communicative power of emojis. Embracing emojis as an integral part of the script format unlocks exciting possibilities for invigorating storytelling in the digital age, making it a key catalyst for modern cinematic innovation.
 
 ABSTRAK
 Penelitian ini mengeksplorasi peremajaan format naskah dengan adanya pemakaian emoji dalam penulisan naskah. Meskipun penggunaannya luas dalam komunikasi digital, emoji belum diintegrasikan secara konvensional ke dalam naskah film. Penelitian ini bertujuan untuk menyelidiki strategi penggunaan emoji sebagai elemen visual untuk memperkaya komunikasi dan membangkitkan emosi secara efektif dalam narasi film. Studi kasus utama yang dianalisis dalam penelitian ini adalah serial web berbahasa Indonesia, “Kenapa Gue?”, yang diproduksi oleh Vidio Originals. Serial ini secara dominan menampilkan kehidupan di layar komputer dan ponsel pintar, dengan lihai merangkai berbagai platform digital untuk menciptakan sebuah misteri yang menawan. Emoji memainkan peran penting dalam "Kenapa Gue?" dengan menyampaikan emosi karakter secara visual dan meningkatkan keaslian dialog. Melalui kajian mendalam mengenai dampak penyertaan emoji dalam skrip, penelitian ini mengkaji potensi manfaat dan tantangannya. Dengan melakukan survei dan menganalisis studi kasus, dieksplorasi bagaimana integrasi kreatif emoji menumbuhkan lingkungan yang lebih menarik dan kolaboratif selama produksi, yang pada akhirnya meningkatkan narasi film. Penelitian ini memperkenalkan perspektif baru tentang penulisan naskah, menyoroti perpaduan antara emoji dan pengisahan cerita kontemporer. Dengan menganjurkan penyertaan emoji sebagai alat ekspresi dalam naskah, penelitian ini memposisikan emoji sebagai aset berharga dalam industri film, meremajakan seni penulisan naskah, dan meningkatkan ekspresi sinematik. Kesimpulannya, penelitian ini menjembatani kesenjangan dalam praktik penulisan naskah konvensional, menginspirasi pembuat film dan penulis naskah untuk memanfaatkan kekuatan komunikatif emoji. Menggunakan emoji sebagai bagian integral dari format naskah, membuka kemungkinan menarik untuk memperkuat penyampaian cerita di era digital, menjadikannya hal utama bagi inovasi sinematik modern.
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Zhukova, Marina, and Susan C. Herring. "Benign or Toxic? Differences in Emoji Interpretation by Gender, Generation, and Emoji Type." Language@Internet 22, Special Issue (2024): 74–108. https://doi.org/10.14434/li.v22.40800.

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Emoji usage, traditionally associated with playfulness and friendliness, has extended into toxic online behavior, encompassing both threatening emojis, such as the bomb 💣, and positive emojis, such as a smile 😊, used to intensify toxic content. This study investigates the extent to which different demographic groups perceive emoji use differently, including potentially toxic emoji use. Through an online survey, participants rated combinations of text and emoji on scales of friendliness, playfulness, sarcasm, passive-aggression, offensiveness, and threat. The findings reveal differences in emoji perception by gender, generation, and emoji type. Notably, non-binary individuals and Gen Z respondents perceived the emoji-containing messages as more sarcastic, passive-aggressive, and threatening. All groups reacted negatively to the bomb emoji and perceived the smiley face as friendly, but younger generations rated the smile and the thumbs up emojis as more passive-aggressive, while the fire and bomb emojis were rated more negatively by older generations. These findings have implications for the detection and moderation of toxic emoji use in online environments, as well as in legal contexts where emoji usage plays a role.
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Kulkongkoon, Theerawee, Nagul Cooharojananone, and Rajalida Lipikorn. "Emoji’s sentiment score estimation using convolutional neural network with multi-scale emoji images." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 698. http://dx.doi.org/10.11591/ijece.v14i1.pp698-710.

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Emojis are any small images, symbols, or icons that are used in social media. Several well-known emojis have been ranked and sentiment scores have been assigned to them. These ranked emojis can be used for sentiment analysis; however, many new released emojis have not been ranked and have no sentiment score yet. This paper proposes a new method to estimate the sentiment score of any unranked emotion emoji from its image by classifying it into the class of the most similar ranked emoji and then estimating the sentiment score using the score of the most similar emoji. The accuracy of sentiment score estimation is improved by using multi-scale images. The ranked emoji image data set consisted of 613 classes with 161 emoji images from three different platforms in each class. The images were cropped to produce multi-scale images. The classification and estimation were performed by using convolutional neural network (CNN) with multi-scale emoji images and the proposed voting algorithm called the majority voting with probability (MVP). The proposed method was evaluated on two datasets: ranked emoji images and unranked emoji images. The accuracies of sentiment score estimation for the ranked and unranked emoji test images are 98% and 51%, respectively.
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Kulkongkoon, Theerawee, Nagul Cooharojananone, and Rajalida Lipikorn. "Emoji's sentiment score estimation using convolutional neural network with multi-scale emoji images." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 698–710. https://doi.org/10.11591/ijece.v14i1.pp698-710.

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Emojis are any small images, symbols, or icons that are used in social media. Several well-known emojis have been ranked and sentiment scores have been assigned to them. These ranked emojis can be used for sentiment analysis; however, many new released emojis have not been ranked and have no sentiment score yet. This paper proposes a new method to estimate the sentiment score of any unranked emotion emoji from its image by classifying it into the class of the most similar ranked emoji and then estimating the sentiment score using the score of the most similar emoji. The accuracy of sentiment score estimation is improved by using multi-scale images. The ranked emoji image data set consisted of 613 classes with 161 emoji images from three different platforms in each class. The images were cropped to produce multi-scale images. The classification and estimation were performed by using convolutional neural network (CNN) with multi- scale emoji images and the proposed voting algorithm called the majority voting with probability (MVP). The proposed method was evaluated on two datasets: ranked emoji images and unranked emoji images. The accuracies of sentiment score estimation for the ranked and unranked emoji test images are 98% and 51%, respectively.
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Minich, Matt, Bradley Kerr, and Megan Moreno. "Adolescent Emoji Use in Text-Based Messaging: Focus Group Study." JMIR Formative Research 9 (April 28, 2025): e59640-e59640. https://doi.org/10.2196/59640.

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Abstract Background Adolescents increasingly communicate through text-based messaging platforms such as SMS and social media messaging. These are now the dominant platforms for communication between adolescents, and adolescents use them to obtain emotional support from parents and other adults. The absence of nonverbal cues can make it challenging to communicate emotions on these platforms, however, so users rely on emojis to communicate sentiment or imbue messages with emotional tone. While research has investigated the functions of emojis in adult communication, less is known about adolescent emoji use. Objective This study sought to understand whether the pragmatic functions of adolescent emoji use resemble those of adults, and to gain insight into the semantic meanings of emojis sent by adolescents. Methods Web-based focus groups were conducted with a convenience sample of adolescents, in which participants responded to questions about their use and interpretation of emojis and engaged in unstructured interactions with one another. Two trained coders analyzed transcripts using a constant comparative coding procedure to identify themes in the discussion. Results A total of 6 focus groups were conducted with 31 adolescent participants (mean age 16.2, SD 1.5 years). Discussion in the groups generally fell into 4 themes: emojis as humorous or absurd, emokis as insincere or complex expressions of setiment, emojis as straightforward experssions of sentiment, and emojis as having context-dependent meanings. Across themes, participants often described important differences between their own emoji use and emoji use by adults. Conclusions Adolescent focus group participants described patterns of emoji use that largely resembled those observed in studies of adults. Like adults, our adolescent participants described emojis’ semantic meanings as being highly flexible and context-dependent. They also described both phatic and emotive functions of emoji use but described both functions in ways that differed from the patterns of emoji use described in adult samples. Adolescents described their phatic emoji use as absurd and described their emotive emoji use as most often sarcastic. These findings suggest that emoji use serves similar pragmatic functions for both adolescents and adults, but that adolescents see their emoji use as more complex than adult emoji use. This has important implications for adults who communicate with adolescents through text-based messaging and for researchers interested in adolescents’ text-based communication.
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Heidari, Amin. "Gaming with Emojis: A Look at Different Strategies of Emoji Inclusion in the Design of Digital Games." Acta Ludologica 7, no. 2 (2024): 38–51. https://doi.org/10.34135/actaludologica.2024-7-2.38-51.

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This theoretical study explores the strategies of emoji implementation in digital games, influenced by emojis’ cute aesthetics. The effects of the Cute have been discussed from two perspectives. While some consider it as a sweet coating around the bitter pills of everyday life under capitalism, others regard it as a true mental refuge, capable of teasing, harshness and seriousness. By categorising emojis’ functions in digital games into five groups (personification, aesthetic substitution, doubling the fun, instrumentalization, and self-enhancement), it will be posited that sometimes emojis’ function is primarily rooted in their solacing power, and that at other times their role is more directly tied to reinforcing the rationale behind the capitalist market. Their role in personification (Emoji Quest), aesthetic substitution (Disney Emoji Blitz) and doubling the fun (Emoji Kitchen – DIY Emoji Mix) aligns with the comforting power of the Cute. Meanwhile, their role in instrumentalization (Emoji Clickers) and self-enhancement (Mirror Fun Emoji Face Stickers) can bolster ideological components of the capitalist market, namely greed and self-obsession.
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Yangsen, Bulan Rara. "The Use of Emoji for Communications Between Role-Players in Twitter: Semiotics Analysis." MUKASI: Jurnal Ilmu Komunikasi 2, no. 2 (2023): 124–31. http://dx.doi.org/10.54259/mukasi.v2i2.1560.

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A sign certainly has a meaning behind it, including the use of emojis. This allows someone to use an emoji to convey something. The meaning behind the use of these emojis can vary. Emoji are used in conversations between individuals and other individuals in an online conversation or in a network (online). The purpose of this research is to reveal the meaning behind the use of emojis used by role-players on Twitter. This research will discuss the delivery of certain meanings by an emoji to the recipient. The data from this study were taken from conversations between role-players on Twitter. This study uses an emoji semiotic approach with a qualitative descriptive method. The results of this study are the first use, emoji can visualize a person's emotions when exchanging messages through social media such as: (1) feelings of joy, (2) apologies and feelings of sadness, (3) satire, (4) support and praise, and (5) shame. Also, emojis are not used for a single situation or feeling. So, emoji can be used to express various kinds of feelings.
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Sabri, Ahmad Fakrusy Syakirin Ahmad, Siti Zanariah Yusoff, and Isyaku Hassan. "Exploring emoji as a viable cultural tool in WhatsApp communications among Malaysian undergraduates." LAPLAGE EM REVISTA 7, no. 3D (2021): 351–62. http://dx.doi.org/10.24115/s2446-6220202173d1727p.351-362.

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An emoji is a form of a symbol in communication available on almost all social media platforms. Its convenience brings potential implications for its usage in digital communication. This study aims to explore the effectiveness of emojis in WhatsApp communication and the influence of culture on emoji usage among undergraduates in Malaysia. The study employed a qualitative approach in which semi-structured interviews were conducted with eight undergraduates of Universiti Sultan Zainal Abidin (UniSZA). The data were analyzed using inductive thematic analysis. Overall, the findings revealed that emojis increase communication efficiency. The participants have positive attitudes towards emoji usage. They describe emojis as viable symbols that help them to maintain social relations and express feelings. Additionally, the findings showed that Malaysian culture influences emoji communication by promoting harmony and relationships as well as instilling high context values in emoji usage. This research concludes that emojis can influence WhatsApp Communication positively if utilized correctly.
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Tomihira, Toshiki, Atsushi Otsuka, Akihiro Yamashita, and Tetsuji Satoh. "Multilingual emoji prediction using BERT for sentiment analysis." International Journal of Web Information Systems 16, no. 3 (2020): 265–80. http://dx.doi.org/10.1108/ijwis-09-2019-0042.

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Purpose Recently, Unicode has been standardized with the penetration of social networking services, the use of emojis has become common. Emojis, as they are also known, are most effective in expressing emotions in sentences. Sentiment analysis in natural language processing manually labels emotions for sentences. The authors can predict sentiment using emoji of text posted on social media without labeling manually. The purpose of this paper is to propose a new model that learns from sentences using emojis as labels, collecting English and Japanese tweets from Twitter as the corpus. The authors verify and compare multiple models based on attention long short-term memory (LSTM) and convolutional neural networks (CNN) and Bidirectional Encoder Representations from Transformers (BERT). Design/methodology/approach The authors collected 2,661 kinds of emoji registered as Unicode characters from tweets using Twitter application programming interface. It is a total of 6,149,410 tweets in Japanese. First, the authors visualized a vector space produced by the emojis by Word2Vec. In addition, the authors found that emojis and similar meaning words of emojis are adjacent and verify that emoji can be used for sentiment analysis. Second, it involves entering a line of tweets containing emojis, learning and testing with that emoji as a label. The authors compared the BERT model with the conventional models [CNN, FastText and Attention bidirectional long short-term memory (BiLSTM)] that were high scores in the previous study. Findings Visualized the vector space of Word2Vec, the authors found that emojis and similar meaning words of emojis are adjacent and verify that emoji can be used for sentiment analysis. The authors obtained a higher score with BERT models compared to the conventional model. Therefore, the sophisticated experiments demonstrate that they improved the score over the conventional model in two languages. General emoji prediction is greatly influenced by context. In addition, the score may be lowered due to a misunderstanding of meaning. By using BERT based on a bi-directional transformer, the authors can consider the context. Practical implications The authors can find emoji in the output words by typing a word using an input method editor (IME). The current IME only considers the most latest inputted word, although it is possible to recommend emojis considering the context of the inputted sentence in this study. Therefore, the research can be used to improve IME performance in the future. Originality/value In the paper, the authors focus on multilingual emoji prediction. This is the first attempt of comparison at emoji prediction between Japanese and English. In addition, it is also the first attempt to use the BERT model based on the transformer for predicting limited emojis although the transformer is known to be effective for various NLP tasks. The authors found that a bidirectional transformer is suitable for emoji prediction.
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Sagara, Arung Rakhe, Dika Mahendra, Triyoga Sandi Pamungkas, and Naela Faza Fariha. "Pengaruh Penggunaan Emoji Whatsapp Terhadap Ekspresi Emosi Masyarakat Dewasa Di Kabupaten Karanganyar,Jawa Tengah." JKOMDIS : Jurnal Ilmu Komunikasi Dan Media Sosial 4, no. 1 (2024): 107–11. http://dx.doi.org/10.47233/jkomdis.v4i1.1475.

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Perkembangan teknologi digital, terutama melalui platform seperti WhatsApp, secara signifikan mengubah cara orang mengungkapkan emosi. Emoji, fitur kunci di WhatsApp, berfungsi sebagai alat efektif untuk menyampaikan nuansa dalam interaksi sosial. Dalam konteks orang dewasa di Kabupaten Karanganyar, di mana urbanisasi belum sepenuhnya terwujud, penggunaan teknologi digital, termasuk emoji, menciptakan dinamika komunikasi yang unik. Studi ini mengeksplorasi dampak penggunaan emoji WhatsApp terhadap ekspresi emosional dalam masyarakat dewasa. Data dari wilayah ini, mewakili sekitar 92% populasi netizen global, dianalisis dengan regresi non-linear. Hasilnya menunjukkan bahwa emoji WhatsApp memiliki dampak signifikan (48,5%) pada ekspresi emosional, menekankan peran vitalnya dalam komunikasi digital. Namun, sekitar 51,5% variasi ekspresi emosional tidak dapat dijelaskan oleh emoji WhatsApp, menandakan pengaruh faktor lain. Penelitian ini menyoroti kompleksitas komunikasi dan pentingnya menjelajahi aspek lain dari ekspresi emosional. Temuan ini memberikan wawasan baru tentang peran emoji dalam menyampaikan emosi, sambil mengakui pentingnya faktor lain dalam konteks komunikasi digital yang terus berkembang.
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Dissertations / Theses on the topic "Emoji"

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Warncke, Nicole. "Eggplant Emoji." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011844/.

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Eggplant Emoji is a documentary film that reveals a range of feminist perspectives on dick pics, sexting and online sexual harassment. Through intimate and hilarious interviews with women between the ages of 22 and 35, the film harnesses a collective voice that speaks back to the large and small ways patriarchy wields power in modern spaces, especially through sending unsolicited dick pics. By intertwining the testimonies of a dynamic group of female storytellers sitting amongst their close friends, the film provides candid and diverse commentary on this unique moment we are in, where the lines between private and public, online and offline are increasingly blurred. Until there are greater consequences, whether legal, social or otherwise, for men disrespecting women's choices and personal space, the domain of sexting is in a self-policing state and women are left to expend emotional labor to let men know why what they sent is unwanted or violating. Ultimately, the subjects' testimonials coalesce to provide suggestions for respectful, consensual sexting practices and fill in the gaps where sex education often neglects the importance of consent and communication altogether.
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Wijeratne, Sanjaya. "A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1547506375922938.

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Pattarello, Elisa <1995&gt. ""Díselo con un emoji". Estudio de los emojis como forma de comunicación e implicaciones didácticas." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15514.

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La tesi mira allo studio degli "Emojis" intesi come strumento di comunicazione in un mondo che sempre di più si affida alla tecnologia digitale per lo scambio di messaggi. In particolare, la ricerca si focalizza sull'uso, funzione e scopo degli "emojis" all'interno di un contesto ben definito: la celebre applicazione "WhatsApp". Il lavoro è suddiviso in tre parti: nella prima parte, si delineano le coordinate teoriche relative all'oggetto di studio e si presenta lo strumento d'indagine, ossia un questionario, in formato elettronico, somministrato ad un campione di 150 persone; nella seconda parte, vengono esposti ed analizzati i risultati ottenuti con l'aiuto di grafici; infine, nella terza parte, si presenta un possibile lavoro glottodidattico costruito a partire dai dati ottenuti riguardanti le funzioni linguistiche (e non) degli "emojis". Seguiranno poi le conclusioni finali.
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Moses, Emeka E. "Eggplants and Peaches: Understanding Emoji Usage on Grindr." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3379.

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This study focuses on how gay men communicate on the Grindr dating app. Prior research has been conducted on how gay men construct their online identities, however, few studies explore how gay men experience interactions online, negotiate their relationships with other men online, and perceive other users. The researcher conducted in-depth interviews with 20 men who use the Grinder app, a location-based dating app used by men who have sex with men. Additional data were collected by observing user profiles on the app, which is free and public. This comprehensive, qualitative study of gay men who use Grindr provides insights into identity construction, communication tactics, and users’ feelings about their encounters on the app.
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Krantz, Matilda. "Emoji som musik på sociala medier : En receptionsstudie kring emojis påverkan för tittaren i rörlig bild på sociala medier." Thesis, Högskolan Dalarna, Bildproduktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-35551.

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Att arbeta med rörlig bild mot sociala medier har sina problem när den fysiska miljön avgörom tittaren kan spela upp musik/ljud tillhörande filmen man tittar på. I denna uppsatsundersöks hur emojis kan upplevas komplettera musik på sociala medier. Denna uppsatsanvänder enskilda intervjuer för att undersöka hur informanterna upplever emojis i film påInstagram. I denna pilotstudie konstateras att emojis kan förstärka, försvaga och förvirraupplevelsen av det emotionella innehållet i en film och att dessa konsekvenser kan upplevasbåde som positivt, negativt och komplext, vilket ställer stora krav på medieproducenter somvill använda emojis. Emojis är i dagsläget ett nytt språk som inte har etablerats så att enstakauttryck nödvändigtvis ger upphov till direkt emotionell respons hos mottagaren, men gerredan nu mer effektiv kommunikation på sociala medier.
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Hallsmar, Fredrik, and Jonas Palm. "Multi-class Sentiment Classification on Twitter using an Emoji Training Heuristic." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186369.

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Sentiment analysis on social media is an important part of today's need for information gathering. Different machine learning techniques have been used in recent years, and usage of an emoticon heuristic to automatically annotate training sets has been a popular approach. As emojis are becoming more popular to use in text-based communication this thesis investigates the feasibility of an emoji training heuristic for multi-class sentiment analysis using a Multinomial Naive Bayes Classifier. Training sets consisting of 4000 to 400 000 tweets were used to train the classifier using various configurations of N-grams. The results show that an emoji heuristic performs well compared to emoticon- or hashtag-based heuristics. However, classifier confusion is highly dependent on class selection and emoji representations when multi-class sentiment analysis is performed.<br>Sentimentanalys är ett problem av stor vikt på sociala medier. Ett flertal olika maskininlärningstekniker har använts på senare år och att använda en träningsmängd som är automatiskt annoterad med hälp av en heuristik baserad på så kallade emoticons har varit ett populärt angreppssätt. Användningen av så kallade emojis i textbaserad kommunikation har ökat på sistone. I linje med denna utveckling så ämnar studien att undersöka om det är hållbart med användning av en heuristik baserad på emojis för flerklassig sentimentanalys. Detta undersöks med hjälp av en Multinomial Naive Bayes-klassificerare som tränas med mängder av storlek 4000 till 400 000 (stycken tweets) och olika variationer av N-gram. Resultatet visar att en emojibaserad heuristik fungerar bra jämfört med en som är baserad på hashtags eller emoticons. Dock så har val av klasser och emojirepresentationer en stor påverkan på förvirringen hos klassificeraren.
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Persson, Niklas. "Analysis of Emoji Usage : Differences in Preference and Function Across Genders." Thesis, Högskolan i Jönköping, Högskolan för lärande och kommunikation, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-43856.

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How do people make use of emojis in their daily computer-mediated communication? In order to obtain data, a sampling methodology was implemented in which data from 15 female and 15 male participants was used to provide reports on the differences in preference and functions of emoji usage across genders. The study found that in variety and in total, males tend to select a greater amount of emojis, in comparison to females. The participants’ reasons for using emojis in instant messages varied across the two gender groups, females focused on illustrating a state of emotion while the males focused on emphasizing a message. This partially corresponded with previous studies. The study also found that the males replace words with emojis because it is easy, fun or quick, and in order to illustrate a state of emotion, while females do not prefer to replace words with emojis. In accordance with previous findings, this study shows that in general, people prefer using emojis to complement rather than to replace words. All of the males in this study tend to make use of emojis in order to complement words, while there was a low amount of females who do not use emojis for the purpose of complementing.
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Dhillon, Manpreet K. "Use of Emoji in Pain Level Assessment in Pediatric Dental Patients." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5784.

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USE OF EMOJI IN PAIN LEVEL ASSESSMENT IN PEDIATRIC DENTAL PATIENTS Purpose: The purpose of this study is to determine the efficacy of a pain scale with Emoji images in comparison to the commonly used Wong-Baker FACES® pain scale. Methods: Healthy, English-speaking patients aged 4-17 presenting to the VCU Pediatric Dental clinic and the operating room and presenting to the MCV Pediatric Emergency Room were asked to rate their pain using the Wong-Baker FACES® and Emoji scales. These patients were then asked to select which pain scale they preferred. Results: A total of 151 children were enrolled in the study. The proposed Emoji scale was preferred by 86% of enrolled children (n=151). Children rated their pain the same on the two scales 78% of the time indicating a weak overall agreement between the two scales as defined by Cohen’s Kappa (k=0.5863, 95% CI: 0.47-0.70). In the instances of disagreement, 82% were within one image on the pain scale. There was a roughly even split between which scale corresponded to the higher pain level (56% Wong-Baker was higher and 44% Emoji was rated higher). Conclusions: A majority of the patients surveyed presented with no pain. The Emoji scale showed moderate agreement with the Wong-Baker FACES scale. A majority of the patients preferred the Emoji scale demonstrating the strong communicative utility of Emoji.
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ANDRAL, Mélanie, and Axelle LARROQUE. "The emojis consumer perception in the online advertising." Thesis, Högskolan i Halmstad, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-32022.

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Title: The emojis consumer perception in the online advertising Research question: How consumers perceive emojis in online advertisement? Supervisor: Venilton Reinert Course: Strategic Marketing with Independent Project Keywords: Emojis, brand image, digital marketing, perception, online advertisement Purpose: The purpose of the study is to analyse the consumer’s perception regarding brands using emojis in their online communication strategy. The purpose is also to understand the profit that could earn brands by using emojis and what they can add to the brand image. Methodology: Quantitative survey has been created to answer the research question. We have used a questionnaire with the use of a non-random sampling by convenience. Three hundred eighty-two people were answering closed and multiple-choice questions in order to quantify the weight of emojis in consumer’s mind. Findings: The results of the survey show that women from 15-25 years old are the most positive receptive group regarding brands using emojis. In addition, using emojis is a good way to improve the brand image but companies have to adapt the strategy depending on the target. Most of the respondents have a positive image about emojis but it doesn’t mean that it influences their willingness to consume a specific brand rather than another. Research limitation: Information is pretty hard to find because of the fact that the emojis topic is really recent. It is complicated to find data and reliable sources about it. Moreover, the sampling we used is not representative of the whole population, so it is not obvious to generalize the findings. Finally, to complete our survey, it would have been interesting to conduct a qualitative study in parallel to go deeper in the analysis of perception.
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Gustavsson, Maria. "What's Up? : En samtalsanalys av barns sms- och WhatsApp-konversationer." Thesis, Uppsala universitet, Institutionen för pedagogik, didaktik och utbildningsstudier, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306970.

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Syftet var att undersöka hur barn kommunicerar med varandra i skriftliga konversationer på sina smartphones. Jag har använt mig av en empirisk metod där jag bad barn om att få ta del av barns konversationer för att undersöka deras användande av emoji-figurer och visuella signaler, så som till exempel imititerande ljuduttryck. Jag har utgått från tidigare forskning och teorier vid analyserandet av insamlad data. Konversationerna jag fick ta del av är både sms- och WhatsApp-konversationer mellan barn 8-12 år som jag analyserade utifrån ett CA-perspektiv (Conversation Analysis/samtalsanalys). Jag kom fram till att barnen främst använde sig av strategier för att öppna upp till samtal och påkalla uppmärksamhet genom upprepade lystringssignaler. Därefter i konversationerna användes ofta emoji-figurer för att förstärka och beskriva känslor. Några riktigt avslut av samtal förekom inte, de flesta rann bara ut i sanden eller avslutades med en bekräftande emoji-figur. De nya visuella språket och emoji-figurerna har blivit en del av vår vardag och används flititgt och hjälper oss att förmedla känslor som är svåra att sätta ord på i situationer vi inte kan se varandra
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Books on the topic "Emoji"

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Yus, Francisco. Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7.

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D'Antonio, Silvio. Silvio D'Antonio: Emoji. Gutenberg edizioni, 2019.

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Moore, Melissa Kay. My First Emojis: What's Emoji? Fulton Books, 2020.

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Notebooks, Viktoria's Viktoria's. Emoji: Yellow Emoji. Independently Published, 2018.

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Puffin. Emoji. Penguin Books, Limited, 2016.

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Emoji Book : How to Draw Emojis for Kids, Teens & Adults: Learn to Draw 50 of your Favourite Emojis - Great Addition to Your Emoji Party Supplies, Emoji Gifts & Emoji Stuff. Createspace Independent Publishing Platform, 2017.

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Puffin. Emoji : Heart Eyes: An Emoji Story. Penguin Books, Limited, 2016.

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Puffin. Emoji : Laughing Crying: An Emoji Story. Penguin Books, Limited, 2016.

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Notes, Legacy. Emoji Poop Unicorn Rainbow Emoji Poop. Independently Published, 2018.

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Notes, Legacy. Emoji Poop Unicorn Rainbow Emoji Poop. Independently Published, 2018.

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Book chapters on the topic "Emoji"

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Yus, Francisco. "Emojis and Their Topics: Several Areas of Emoji Use." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_8.

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Yus, Francisco. "Introduction." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_1.

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Yus, Francisco. "Inferring from Emojis: From Propositions to Feelings and Emotions." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_5.

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Yus, Francisco. "Pragmatic Functions of Emojis." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_3.

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Yus, Francisco. "Emojis and Their Users: A Review of Demographic Variables." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_6.

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Yus, Francisco. "Concluding Remarks." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_9.

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Yus, Francisco. "Pragmatics of Verbal Content vs. Pragmatics of Emoji." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_4.

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Yus, Francisco. "Emojis on Interfaces: Emoji Use Across Apps/Sites and Their Affordances." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_7.

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Yus, Francisco. "Pragmatics, Cyberpragmatics and Relevance Theory." In Emoji Pragmatics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73723-7_2.

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Guibon, Gaël, Magalie Ochs, and Patrice Bellot. "From Emoji Usage to Categorical Emoji Prediction." In Computational Linguistics and Intelligent Text Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23804-8_26.

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Conference papers on the topic "Emoji"

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Jain, Navya, Zekun Wu, Cristian Enrique Munoz Villalobos, et al. "From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.265.

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Qiu, Zhongyi, Kangyi Qiu, Hanjia Lyu, Wei Xiong, and Jiebo Luo. "Semantics Preserving Emoji Recommendation with Large Language Models." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825696.

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"Emoji Identification and Prediction in Hebrew Political Corpus." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4346.

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[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: Any system that aims to address the task of modeling social media communication need to deal with the usage of emojis. Efficient prediction of the most likely emoji given the text of a message may help to improve different NLP tasks. Background: We explore two tasks: emoji identification and emoji prediction. While emoji prediction is a classification task of predicting the emojis that appear in a given text message, emoji identification is the complementary preceding task of determining if a given text message includes emojies. Methodology: We adopt a supervised Machine Learning (ML) approach. We compare two text representation approaches, i.e., n-grams and character n-grams and analyze the contribution of additional metadata features to the classification. Contribution: The task of emoji identification is novel. We extend the definition of the emoji prediction task by allowing to use not only the textual content but also meta-data analysis. Findings: Metadata improve the classification accuracy in the task of emoji identification. In the task of emoji prediction it is better to apply feature selection. Recommendations for Practitioners: In many of the cases the classifier decision seems fitter to the comment con-tent than the emoji that was chosen by the commentator. The classifier may be useful for emoji suggestion. Recommendations for Researchers: Explore character-based representations rather than word-based representations in the case of morphologically rich languages. Impact on Society: Improve the modeling of social media communication. Future Research: We plan to address the multi-label setting of the emoji prediction task and to investigate the deep learning approach for both of our classification tasks.
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Reelfs, Jens, Timon Mohaupt, Sandipan Sikdar, Markus Strohmaier, and Oliver Hohlfeld. "Interpreting Emoji with Emoji." In Proceedings of the The Fifth International Workshop on Emoji Understanding and Applications in Social Media. Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.emoji-1.1.

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Grishechko, Elizaveta G. "EMOJIS AS NONVERBAL CUES IN ONLINE COMMUNICATION: PERSPECTIVES ON CONFLICT RESOLUTION AND MISUNDERSTANDING PREVENTION." In 10th SWS International Scientific Conferences on ART and HUMANITIES - ISCAH 2023. SGEM WORLD SCIENCE, 2023. http://dx.doi.org/10.35603/sws.iscah.2023/s15.12.

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The study explores the role of emojis as nonverbal cues in conflict resolution and misunderstanding prevention in online communication on Reddit as indicators of speech aggression. Employing a mixed-methods approach and conducting both quantitative and qualitative analyses, the research investigates the frequency and patterns of emoji use in conflict and non-conflict threads, as well as their impact on conversation tone and outcomes. Findings reveal that positive emotion emojis, gesture emojis, and sarcasm/humor/irony emojis are most commonly used to manage challenging interactions and prevent misunderstandings. The study demonstrates that emoji use is more frequent in conflict threads compared to non-conflict threads, indicating the vital role emojis play in managing difficult interactions. Moreover, the results show that the use of emojis is associated with a higher likelihood of de-escalation, clarification of misunderstandings, and better conversation outcomes. In addition to supporting existing theoretical frameworks, such as Social Information Processing Theory and Media Richness Theory, the study provides practical insights into effective communication strategies and the design of digital spaces that facilitate healthier interpersonal communication. The findings have implications for online communication, suggesting that the strategic use of emojis can help humanize interactions, promote empathy, mitigate speech aggression and ultimately lead to mutual understanding and conflict resolution.
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Grishechko, Elizaveta G. "EMOJIS AS NONVERBAL CUES IN ONLINE COMMUNICATION: PERSPECTIVES ON CONFLICT RESOLUTION AND MISUNDERSTANDING PREVENTION." In 10th SWS International Scientific Conferences on ART and HUMANITIES - ISCAH 2023. SGEM WORLD SCIENCE, 2023. http://dx.doi.org/10.35603/sws.iscah.2023/s11.12.

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The study explores the role of emojis as nonverbal cues in conflict resolution and misunderstanding prevention in online communication on Reddit as indicators of speech aggression. Employing a mixed-methods approach and conducting both quantitative and qualitative analyses, the research investigates the frequency and patterns of emoji use in conflict and non-conflict threads, as well as their impact on conversation tone and outcomes. Findings reveal that positive emotion emojis, gesture emojis, and sarcasm/humor/irony emojis are most commonly used to manage challenging interactions and prevent misunderstandings. The study demonstrates that emoji use is more frequent in conflict threads compared to non-conflict threads, indicating the vital role emojis play in managing difficult interactions. Moreover, the results show that the use of emojis is associated with a higher likelihood of de-escalation, clarification of misunderstandings, and better conversation outcomes. In addition to supporting existing theoretical frameworks, such as Social Information Processing Theory and Media Richness Theory, the study provides practical insights into effective communication strategies and the design of digital spaces that facilitate healthier interpersonal communication. The findings have implications for online communication, suggesting that the strategic use of emojis can help humanize interactions, promote empathy, mitigate speech aggression and ultimately lead to mutual understanding and conflict resolution.
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Lachuk, Amy. ""I Heart Emojis": Emoji Text Messaging as Linguistic Performance." In 2019 AERA Annual Meeting. AERA, 2019. http://dx.doi.org/10.3102/1434880.

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Yang, Deng, Liu Kejian, Yang Cheng, Feng Yuanyuan, and Li Weihao. "Emoji-based Fine-Grained Attention Network for Sentiment Analysis in the Microblog Comments." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121307.

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Microblogs have become a social platform for people to express their emotions in real-time, and it is a trend to analyze user emotional tendencies from the information on Microblogs. The dynamic features of emojis can affect the sentiment polarity of microblog texts. Since existing models seldom consider the diversity of emoji sentiment polarity, the paper propose a microblog sentiment classification model based on ALBERT-FAET. We obtain text embedding via ALBERT pretraining model and learn the inter-emoji embedding with an attention-based LSTM network. In addition, a fine-grained attention mechanism is proposed to capture the word-level interactions between plain text and emoji. Finally, we concatenate these features and feed them into a CNN classifier to predict the sentiment labels of the microblogs. To verify the effectiveness of the model and the fine-grained attention network, we conduct comparison experiments and ablation experiments. The comparison experiments show that the model outperforms previous methods in three evaluation indicators (accuracy, precision, and recall) and the model can significantly improve sentiment classification. The ablation experiments show that compared with ALBERT-AET, the proposed model ALBERT-FAET is better in the metrics, indicating that the fine-grained attention network can understand the diversified information of emoticons.
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S. Lin, Tingyi, and Sih-wei Li. "Meaningful Emoji: A Preliminary Exploratory Study of Graphic Symbols Usage for Health Communication." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004644.

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Emoji have become an important component of visual language since they were officially introduced into the Unicode Character Database in 2010 and have become commonplace in most people's lives. These graphic symbols were popularly used worldwide due to their widespread use on social media platforms. More and more researchers have also used emoji as stimulus cues to explore the relationship between emotions and attitude in the fields of communication, online behavior, health, food safety, and other field of study. Gboard, a virtual keyboard developed by Google, announced Emoji Kitchen in 2020 for Android users, and now also open to iOS users, and even launched a web version for computer users to use. Emoji Kitchen is a special feature that allows users to combine two different emoji symbols into brand-new ones. By using Emoji Kitchen as a generator tool, this study aims to investigate what key visual elements to replenish the emoji items to meet users' communication needs, particularly in the health context. This study firstly presumes emoji as elements of visual language to represent a noun, a verb, and an interjection. Secondly, an exploratory investigation was conducted to test how people make sense of the relationship between multiple emoji, within which to demonstrate how various arrangements of emoji affect the semantic meanings. Results show that current standardized and widely used emoji are inadequate for users to express freely online in the context of health issues. What to choose and how to use the emoji when people express their emotions in the context of health were defined. The consensus in visual preferences was initially discovered. Our previous studies have proved that emoji are highly capable of promoting more comprehensible and persuasive information communication, as well as improving reading speed. This study finds further details about how emoji play roles as vital components of visual language in communication.
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Colley, Ashley, Sven Mayer, and Jonna Häkkilä. "Developing an Emoji-based User Experience Questionnaire: UEQ-Emoji." In MUM '23: International Conference on Mobile and Ubiquitous Multimedia. ACM, 2023. http://dx.doi.org/10.1145/3626705.3627767.

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Reports on the topic "Emoji"

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Makhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3864.

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The article deals with the technology of visualizing fictional text (poetry) with the help of emoji symbols in the Emoji Maker platform that not only activates students’ thinking, but also develops creative attention, makes it possible to reproduce the meaning of poetry in a succinct way. The application of this technology has yielded the significance of introducing a computer being emoji in the study and mastering of literature is absolutely logical: an emoji, phenomenologically, logically and eidologically installed in the digital continuum, is separated from the natural language provided by (ethno)logy, and is implicitly embedded into (cosmo)logy. The technology application object is the text of the twentieth century Cuban poet José Ángel Buesa. The choice of poetry was dictated by the appeal to the most important function of emoji – the expression of feelings, emotions, and mood. It has been discovered that sensuality can reconstructed with the help of this type of meta-linguistic digital continuum. It is noted that during the emoji design in the Emoji Maker program, due to the technical limitations of the platform, it is possible to phenomenologize one’s own essential-empirical reconstruction of the lyrical image. Creating the image of the lyrical protagonist sign, it was sensible to apply knowledge in linguistics, philosophy of language, psychology, psycholinguistics, literary criticism. By constructing the sign, a special emphasis was placed on the facial emogram, which also plays an essential role in the transmission of a wide range of emotions, moods, feelings of the lyrical protagonist. Consequently, the Emoji Maker digital platform allowed to create a new model of digital presentation of fiction, especially considering the psychophysiological characteristics of the lyrical protagonist. Thus, the interpreting reader, using a specific digital toolkit – a visual iconic sign (smile) – reproduces the polylaterial metalinguistic multimodality of the sign meaning in fiction. The effectiveness of this approach is verified by the poly-functional emoji ousia, tested on texts of fiction.
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Vardikou, Chrysopigi, Agisilaos Konidaris, and Erato Koustoumpardi. Emojis in marketing & advertising: A Scoping review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.5.0094.

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Mathews, Stanley, Chelsea Botwin, and Seung-Eun Lee. Fashion Brands' Use of Emojis on Twitter: An Exploratory Study. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1803.

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Lopez Boo, Florencia, Giuliana Daga, and Sofia Madariaga. Combating COVID-19 Vaccine Hesitancy: Behaviorally Informed Campaigns in the Caribbean. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004581.

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This note provides insights into understanding and combating vaccine hesitancy in the Caribbean. We draw on both qualitative and quantitative evidence stemming from IDB analytical and operational work. First, a household survey implemented in Belize in 2021 finds that lack of trust in vaccines and fear of side effects are among the main reasons given by the people that had not yet received the COVID-19 vaccine. Second, we evaluate the correlation between five behaviorally informed campaigns and vaccine uptake and digital engagement (clicks, emojis) and the effect of randomizing the framing of messages within one of such campaigns. We find that messages about COVID-19 vaccine safety and positive framing of side effects were associated with better outcomes. Finally, we describe how these insights are used in vaccination campaigns in Barbados.
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