Conference proceeding
To Automate or Not? How Open Collaboration Communities Decide on Bot Approval
45th International Conference on Information Systems, ICIS 2024
2024
Abstract
AI tools are widely used in open collaboration communities nowadays, yet factors influencing their adoption are not well understood. This study investigates the factors influencing bot approval on English Wikipedia. Leveraging the advanced capabilities of Large Language Models (LLMs) on NLP tasks, we systematically extract humancomputer interaction (HCI) factors from 2,155 Wikipedia Bot Request for Approval pages. We identify ten themes that emerged from community discussion concerning three main aspects: Technological Factors, User Interaction and Experience, and Platform Governance. We further assess the comparative importance of each theme in the community's bot approval decisions. Our findings reveal that Technological Factors play the most significant role, followed by User Interaction and Experience and Platform Governance Standards. This study contributes quantitative evidence to understanding bot approval in open collaboration communities and proposes a novel, generalizable LLM-based approach for extracting and summarizing themes from large text corpora.
Details
- Title: Subtitle
- To Automate or Not? How Open Collaboration Communities Decide on Bot Approval
- Creators
- Lei Zheng - University of Massachusetts BostonZihan Chen - Stevens Institute of TechnologyFeng Mai - University of Iowa, Iowa City, IA, United States
- Resource Type
- Conference proceeding
- Publication Details
- 45th International Conference on Information Systems, ICIS 2024
- Language
- English
- Date published
- 2024
- Academic Unit
- Business Analytics
- Record Identifier
- 9984865436002771
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