Mining the Relationship between Emoji Usage Patterns and Personality

Emojis have been widely used in textual communications as a new way to convey nonverbal cues. An interesting observation is the various emoji usage patterns among different users. In this paper, we investigate the correlation between user personality traits and their emoji usage patterns, particularly on overall amounts and specific preferences. To achieve this goal, we build a large Twitter dataset which includes 352,245 users and over 1.13 billion tweets associated with calculated personality traits and emoji usage patterns. Our correlation and emoji prediction results provide insights into the power of diverse personalities that lead to varies emoji usage patterns as well as its potential in emoji recommendation tasks.Comment: To appear at The International AAAI Conference on Web and Social Media (ICWSM) 201

Accommodated Emoji Usage: Influence of Hierarchy on the Adaption of Pictogram Usage in Instant Messaging

Communication Accommodation Theory predicts to what extent individuals accommodate their verbal and nonverbal behaviour by converging it towards their conversation partner or diverging it away from them to gain social approval and to decrease social distance. Especially individuals in lower hierarchy positions accommodate their communication behaviour towards individuals in higher hierarchy positions. Nowadays, computer- and smartphone-mediated communication are common ways to communicate, for example via instant messaging. However, instant messenger lack in transporting nonverbal cues. To fill this gap, emoji are used increasingly. A study was conducted to examine how individuals in lower hierarchy positions converge their emoji usage towards individuals in higher hierarchy position. The results support the assumption that the higher hierarchy is perceived, the more emoji accommodation is shown

Emojiji: suvremeni oblik neverbalne komunikacije

Emojiji su grafički simboli često korišteni u suvremenoj komunikaciji na društvenim mrežama. Njihova se popularnost može promatrati kao posljedica prednosti koje imaju nad tradicionalnom pisanom komunikacijom, poput veće kreativnosti, sažetosti, brzine unosa te mogućnosti nadomještanja neverbalnih znakova koji nedostaju u digitalnim oblicima komunikacije. Cilj ovog preglednog rada je proučiti emojije s obzirom na njihove funkcije u kontekstu digitalne komunikacije, koje su u skladu s funkcijama koje u komunikaciji licem u lice imaju neverbalni znakovi. Glavni nalazi psiholoških istraživanja upotrebe emojija odnose se na njihovu mogućnost da prenesu emocije pošiljatelja, pomognu u izražavanju stavova, osobina ličnosti i točnijem prenošenju namjere prilikom slanja poruke te da reguliraju interakcije i odnos među sugovornicima. Razmotreni su i mogući problemi u interpretaciji emojija, kao i potencijal koji njihova upotreba ima kao predmet istraživanja u psihologiji

Sender Gender Influences Emoji Interpretation in Text Messages

With the rise in social media use, emojis have become a popular addition to text-based communication. The sudden increase in the number and variety of emojis used raises questions about how individuals interpret messages containing emojis. To explore perceptions of emoji usage, we conducted a 2 (Sender Gender: Female or Male) × 2 (Emoji Type: Affectionate or Friendly) between-groups experiment to examine the appropriateness and likability of each of four hypothetical text messages sent to a woman from either a male or female coworker. In general, we predicted that text messages containing affectionate emojis (i.e., kissing-face and heart emoji) would be perceived as more appropriate and likable when they came from female than from male senders, whereas messages containing less overtly affectionate (but still friendly) emojis (i.e., smiling-face emoji) would be considered equally appropriate and likable whether it came from female or male senders. As predicted, the results confirmed that texts with affectionate emojis were judged as more appropriate and likable when they came from women than from men. However, texts with less affectionate but friendly emojis were judged as equally appropriate–but more likable–when they came from men than when they came from women. Taken together, our results indicate that gender and emoji choice influence perceptions, and therefore people should consider how emoji choice could impact the reception of their message

Identifying personality and topics of social media

Title from PDF of title page viewed January 27, 2020Thesis advisor: Yugyung LeeVitaIncludes bibliographical references (pages 37-39)Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2019Twitter and Facebook are the renowned social networking platforms where users post, share, interact and express to the world, their interests, personality, and behavioral information. User-created content on social media can be a source of truth, which is suitable to be consumed for the personality identification of social media users. Personality assessment using the Big 5 personality factor model benefits organizations in identifying potential professionals, future leaders, best-fit candidates for the role, and build effective teams. Also, the Big 5 personality factors help to understand depression symptoms among aged people in primary care. We had hypothesized that understanding the user personality of the social network would have significant benefits for topic modeling of different areas like news, towards understanding community interests, and topics. In this thesis, we will present a multi-label personality classification of the social media data and topic feature classification model based on the Big 5 model. We have built the Big 5 personality classification model using a Twitter dataset that has defined openness, conscientiousness, extraversion, agreeableness, and neuroticism. In this thesis, we (1) conduct personality detection using the Big 5 model, (2) extract the topics from Facebook and Twitter data based on each personality, (3) analyze the top essential topics, and (4) find the relation between topics and personalities. The personality would be useful to identify what kind of personality, which topics usually talk about in social media. Multi-label classification is done using Multinomial Naïve Bayes, Logistic Regression, Linear SVC. Topic Modeling is done based on LDA and KATE. Experimental results with Twitter and Facebook data demonstrate that the proposed model has achieved promising results.Introduction -- Background and related work -- Proposed framework -- Results and evaluations -- Conclusion and future wor

Emoji Use in Social Media Posts: Relationships with Personality Traits and Word Usage

Prior research has demonstrated relationships between personality traits of social media users and the language used in their posts. Few studies have examined whether there are relationships between personality traits of users and how they use emojis in their social media posts. Emojis are digital pictographs used to express ideas and emotions. There are thousands of emojis, which depict faces with expressions, objects, animals, and activities. We conducted a study with two samples (n = 76 and n = 245) in which we examined how emoji use on X (formerly Twitter) related to users’ personality traits and language use in posts. Personality traits were assessed from participants in an online survey. With participants’ consent, we analyzed word usage in posts. Word frequencies were calculated using the Linguistic Inquiry Word Count (LIWC). In both samples, the results showed that those who used the most emojis had the lowest levels of openness to experience. Emoji use was unrelated to the other personality traits. In sample 1, emoji use was also related to use of words related to family, positive emotion, and sadness and less frequent use of articles and words related to insight. In sample 2, more frequent use of emojis in posts was related to more frequent use of you pronouns, I pronouns, and more frequent use of negative function words and words related to time. The results support the view that social media users’ characteristics may be gleaned from the content of their social media posts

Anaphoricity in emoji: An experimental investigation of face and non-face emoji

Emoji are widely used, but have received relatively little attention in psycholinguistic research. Upon encountering a message consisting of both text and emoji, readers presumably construct some link between emoji and text. Based on a psycholinguistic study on text-emoji relations, we argue for (at least) two types of emoji-text dependencies, related to referential dependencies known to exist in the linguistic domain, namely (i) the dependency between an expressive (e.g. wow, damn, f*king) and the individual whose opinion it expresses, and (ii) the dependency between a pronoun (or other pro-form) and its antecedent. We extend the discussion of these dependencies to emoji, and provide experimental data that face emoji resemble expressives in that they tend to be interpreted as expressing the opinion of a salient experiencer, while action emoji are interpreted based on principles of discourse coherence (e.g. discourse relations like explanation), similar to what coherence-based accounts of pronoun resolution predict

The Effect of Message Valence and Emoji Types on Processing Fluency when Reading Text Messages

The main goal of this thesis was to examine the influence of face and non-face emoji as a means to increase processing fluency and ratings of rapport in positive and negative contexts. This thesis aimed to draw on two key theoretical frameworks – the Processing Fluency Framework and the Rapport Management Model. In an initial naturalistic analysis (Chapter Two), the prevalence and types of emoji used were investigated, along with their relationship to self-presentation and related variables. Face but not non-face emoji were found to be linked to self-presentation variables, although the effects were weak. These emoji informed the design of subsequent experiments. In a series of five experiments (Chapters Three to Seven), the effect of face and non-face emoji on processing fluency and rapport were examined across positive and negative message contexts and manipulating a series of variables of relevance to the emoji (e.g., type, position, congruency with message). In each experiment, participants were presented with hypothetical text messages between friends and asked to rate them on a series of measures relating to fluency (efficiency, clarity, and/ or understandability and believability) and rapport (interest in the friendship and improving the friendship). Consistent with previous literature, emoji presence affected processing fluency and rapport. However, the effect varied depending on message valence, emoji types and the specific message content. Overall, the findings suggest a connection between processing fluency and rapport, related to the perception of emoji in text messages, a relationship which to date has not been identified in the literature. The findings, while supporting the processing fluency account, suggest that emoji effects are more complex, context dependent and nuanced than originally expected