CYHCLGAug 30, 2023

Emoji Promotes Developer Participation and Issue Resolution on GitHub

arXiv:2308.16360v38 citationsh-index: 57
Originality Synthesis-oriented
AI Analysis

This addresses the problem of low efficiency in remote work communication for developers, though it is incremental as it applies existing causal inference methods to new data.

The study investigated how emoji usage affects developer participation and issue resolution on GitHub, finding that emojis significantly reduce issue resolution time and increase user participation.

Although remote working is increasingly adopted during the pandemic, many are concerned by the low-efficiency in the remote working. Missing in text-based communication are non-verbal cues such as facial expressions and body language, which hinders the effective communication and negatively impacts the work outcomes. Prevalent on social media platforms, emojis, as alternative non-verbal cues, are gaining popularity in the virtual workspaces well. In this paper, we study how emoji usage influences developer participation and issue resolution in virtual workspaces. To this end, we collect GitHub issues for a one-year period and apply causal inference techniques to measure the causal effect of emojis on the outcome of issues, controlling for confounders such as issue content, repository, and author information. We find that emojis can significantly reduce the resolution time of issues and attract more user participation. We also compare the heterogeneous effect on different types of issues. These findings deepen our understanding of the developer communities, and they provide design implications on how to facilitate interactions and broaden developer participation.

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