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Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub.

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اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Lu X;Lu X; Ai W; Ai W; Chen Z; Chen Z; Cao Y; Cao Y; Mei Q; Mei Q
  • المصدر:
    PloS one [PLoS One] 2022 Jan 26; Vol. 17 (1), pp. e0261262. Date of Electronic Publication: 2022 Jan 26 (Print Publication: 2022).
  • نوع النشر :
    Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science
    • الموضوع:
      Emotions* ; Facial Expression* ; Nonverbal Communication*; Communication ; Humans ; Teleworking
    • نبذة مختصرة :
      Competing Interests: The authors have declared that no competing interests exist.
      Emotions at work have long been identified as critical signals of work motivations, status, and attitudes, and as predictors of various work-related outcomes. When more and more employees work remotely, these emotional signals of workers become harder to observe through daily, face-to-face communications. The use of online platforms to communicate and collaborate at work provides an alternative channel to monitor the emotions of workers. This paper studies how emojis, as non-verbal cues in online communications, can be used for such purposes and how the emotional signals in emoji usage can be used to predict future behavior of workers. In particular, we present how the developers on GitHub use emojis in their work-related activities. We show that developers have diverse patterns of emoji usage, which can be related to their working status including activity levels, types of work, types of communications, time management, and other behavioral patterns. Developers who use emojis in their posts are significantly less likely to dropout from the online work platform. Surprisingly, solely using emoji usage as features, standard machine learning models can predict future dropouts of developers at a satisfactory accuracy. Features related to the general use and the emotions of emojis appear to be important factors, while they do not rule out paths through other purposes of emoji use.
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    • الموضوع:
      Date Created: 20220126 Date Completed: 20220214 Latest Revision: 20220214
    • الموضوع:
      20250114
    • الرقم المعرف:
      PMC8791473
    • الرقم المعرف:
      10.1371/journal.pone.0261262
    • الرقم المعرف:
      35081111