CoMIC : an exploration into computer-mediated intercultural communication

This thesis explores how cultural differences manifest themselves in computermediated intercultural communication (CoMIC). This study particularly looks at the role and use of digital nonverbals (DNVs) and their regulatory functions. The data analyzed is from a global virtual team working together for a period of three months. The grounded theory method has been employed to code the electronic transcript of the team\u27s communication. Furthermore, the participants were surveyed regarding their personal backgrounds, their work, and their perception of the communication processes that took place. The study shows that in an intercultural communication process DNVs are used to avoid intercultural misunderstandings and to underline the various communication styles. The different styles, hand in hand with the DNVs used, vary depending on the team\u27s overall situation. However, the absence of DNVs can be an indicator for a state of crisis

E-Leadership or “How to Be Boss in Instant Messaging?” The Role of Nonverbal Communication

Doing leadership in the virtual realm has now become a routine part of many leaders’ daily work, yet our understanding of how leadership is enacted in mediated contexts—especially in text-only channels—is very limited. By applying micro-level analysis to naturally occurring instant message conversations, this article exposes the strategies leaders employ to achieve a range of complex communication goals: to get the work done while fostering informality and collegiality and creating the sense of a real—and not virtual—collaboration between team members. The findings further our understanding in two domains: They provide empirical grounding for e-leadership theories by exposing practices from real-life interactions, and they contribute to discursive leadership literature by addressing nonverbal communication practices. The findings of the article could form the basis for management and leadership training by drawing attention to the linguistic and semiotic resources digital leaders have at their disposal in virtual work environments

“Nice Picture Comment!” Graphicons in Facebook Comment Threads

Facebook has increasingly incorporated graphical means of communication such as emoticons, emoji, stickers, GIFs, images, and videos (‘graphicons’) into comment threads. Adapting methods of computer‐ mediated discourse analysis, we analyze the frequency and pragmatic functions of each graphicon type in threads sampled from public graphicon-focused Facebook groups. Six main functions emerged from the data: mention, reaction, tone modification, riffing, action, and narrative sequence. Reaction was most common, and emoji expressed the widest array of functions. We propose structural, social, and technical explanations for variation in graphicon use, and suggest improvements for the design of conversational graphical elements in social media systems

Lisbon Emoji and Emoticon Database (LEED): norms for emoji and emoticons in seven evaluative dimensions

The use of emoticons and emoji is increasingly popular across a variety of new platforms of online communication. They have also become popular as stimulus materials in scientific research. However, the assumption that emoji/emoticon users’ interpretations always correspond to the developers’/researchers’ intended meanings might be misleading. This article presents subjective norms of emoji and emoticons provided by everyday users. The Lisbon Emoji and Emoticon Database (LEED) comprises 238 stimuli: 85 emoticons and 153 emoji (collected from iOS, Android, Facebook, and Emojipedia). The sample included 505 Portuguese participants recruited online. Each participant evaluated a random subset of 20 stimuli for seven dimensions: aesthetic appeal, familiarity, visual complexity, concreteness, valence, arousal, and meaningfulness. Participants were additionally asked to attribute a meaning to each stimulus. The norms obtained include quantitative descriptive results (means, standard deviations, and confidence intervals) and a meaning analysis for each stimulus. We also examined the correlations between the dimensions and tested for differences between emoticons and emoji, as well as between the two major operating systems—Android and iOS. The LEED constitutes a readily available normative database (available at www.osf.io/nua4x) with potential applications to different research domains.info:eu-repo/semantics/acceptedVersio