TY - GEN
T1 - Research on the Collaborative Mechanism of Project Robots in Online Knowledge Production Communities
T2 - 16th International Conference on Cross-Cultural Design, CCD 2024, held as part of the 26th HCI International Conference, HCII 2024
AU - Wang, Ziyu
AU - Ma, Chengming
AU - Shen, Wenhao
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Bots are becoming more widely adopted in GitHub, with implications for online knowledge collaboration. It is necessary to study the extent of the impact of bots in online knowledge collaboration. A total of 843 projects with around 63125 aggregate data were acquired by crawling projects through GitHub API and filtering out projects that do not contain code or do not have any issues. Preliminary research found no correlation between the adoption of bots and the popularity of the project, while most of the literature support a positive correlation. But further classified observation according to the attributes of the bot, we found that projects with dedicated bots were more popular than projects with template bots. The study found that the adoption of dedicated bots for projects led to an increase in commit, fork, and issue count, which affected the addition, reorganization, and integration of knowledge collaboration. The study also found that projects with dedicated bots received more attention, with a positive correlation between fork count and star count, but no significant correlation between commit, issue count and star count. The impact of bots in online knowledge collaboration is still lacking in terms of adding and integrating knowledge.
AB - Bots are becoming more widely adopted in GitHub, with implications for online knowledge collaboration. It is necessary to study the extent of the impact of bots in online knowledge collaboration. A total of 843 projects with around 63125 aggregate data were acquired by crawling projects through GitHub API and filtering out projects that do not contain code or do not have any issues. Preliminary research found no correlation between the adoption of bots and the popularity of the project, while most of the literature support a positive correlation. But further classified observation according to the attributes of the bot, we found that projects with dedicated bots were more popular than projects with template bots. The study found that the adoption of dedicated bots for projects led to an increase in commit, fork, and issue count, which affected the addition, reorganization, and integration of knowledge collaboration. The study also found that projects with dedicated bots received more attention, with a positive correlation between fork count and star count, but no significant correlation between commit, issue count and star count. The impact of bots in online knowledge collaboration is still lacking in terms of adding and integrating knowledge.
KW - GitHub
KW - Human-bot interaction
KW - collaborative mechanism
KW - online knowledge production
KW - project robot
UR - https://www.scopus.com/pages/publications/85196161222
U2 - 10.1007/978-3-031-60901-5_11
DO - 10.1007/978-3-031-60901-5_11
M3 - 会议稿件
AN - SCOPUS:85196161222
SN - 9783031609008
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 147
EP - 161
BT - Cross-Cultural Design - 16th International Conference, CCD 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Rau, Pei-Luen Patrick
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 June 2024 through 4 July 2024
ER -