Emojis in human-machine interactions: A corpus-based analysis of emojis in chatbots’ first turns
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Emojis, graphical representations of emotions and entities, represent a salient feature of digital discourse. Nonetheless, they still have not been thoroughly investigated in the emerging field of chatbot interactions. With the present study, we address this gap in the literature and conduct a fine-grained, data-based analysis of emoji use in the first turn generated by 237 chatbots operating in the customer service domain. Our focus encompasses the emoji selection and their position. Emojis’ functions will be briefly addressed as well. Despite the limited dataset, this study offers an innovative examination of emoji use in chatbots operating in English, German, Italian and French, and provides valuable linguistic insights into human-chatbot interactions for both theoretical and practical applications.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 65-90 |
| Number of pages | 26 |
| Journal | Neuphilologische Mitteilungen |
| Volume | 126 |
| Issue number | 1 |
| Publication status | Published - 16 May 2025 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 105006688672 |
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Keywords
ASJC Scopus subject areas
Keywords
- chatbot, digital communication, emoji, human-chatbot interaction, virtual assistant