Artigo em revista científica Q1
Are you what you emoji? How skin tone emojis and profile pictures shape attention and social inference processing
Sofia Pelica (Pelica, S.); Tiago Rôxo Aguiar (Aguiar, T. R.); Sofia Frade (Frade, S.); Rita Guerra (Guerra, R.); Marília Prada (Prada, M.);
Título Revista
Telematics and Informatics
Ano (publicação definitiva)
2024
Língua
Inglês
País
Estados Unidos da América
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Abstract/Resumo
Emojis can express emotions and some aspects of the sender’s identity; however, only limited research has explored how the choice of skin tone in emojis influences the perceptions of the users. We examined the interaction between emoji skin tones and profile pictures in instant messaging, using self-reported and eye tracking measures. White participants viewed 14 screenshots of conversations (9 target and 5 fillers) where the sender used an emoji in a Darker or Lighter skin tone, or the default Yellow; alongside profile pictures displaying a Black or White individual, or a landscape as a neutral condition. Results showed that Black senders using Darker emojis were seen as warmer and closer to the receiver, but less competent, suggesting a dimensional compensation effect. Conversely, Black senders using Lighter emojis appeared more competent, but less warm. In the Neutral condition, Lighter emojis improved warmth and relationship quality, but reduced competence inferences, unlike Yellow and Darker emojis, suggesting a black sheep effect (in-group strictness). Yellow emojis were assumed to be sent by White individuals. Eye-tracking measures revealed an implicit bias towards White senders using Darker emojis, although such an impact was not observed for Black senders using Lighter emojis. Overall, findings indicate that skin tone emojis and profile pictures influence sender perception and challenge the neutrality of Yellow emojis.
Agradecimentos/Acknowledgements
Pelica, S. and Aguiar, T. R. are sharing first-authorship.
Palavras-chave
Skin tone emojis,Computer-mediated communication,Instant messaging,Person perception,Racialized bias,Eye tracking
  • Ciências da Computação e da Informação - Ciências Naturais
  • Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
  • Direito - Ciências Sociais
  • Ciências da Comunicação - Ciências Sociais