CoArgue : Fostering Lurkers’ Contribution to Collective Arguments in Community-based QA Platforms
Published in CHI' 23, 2023
This research investigates obstacles hindering lurkers from contributing to collective arguments in Community-Based Question Answering (CQA) platforms, leading to the development of CoArgue, a tool designed to enhance lurkers' motivation and ability to participate in discussions by extracting and summarizing augmentative elements from question threads, resulting in a more engaging and productive experience compared to a Quora-like baseline, as demonstrated in a within-subject study involving 24 participants.
Recommended citation: Chengzhong Liu, Shixu Zhou, Dingdong Liu, Junze Li, Zeyu Huang, and Xiaojuan Ma. 2023. CoArgue_: Fostering Lurkers’ Contribution to Collective Arguments in Community-based QA Platforms. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ‘23). Association for Computing Machinery, New York, NY, USA, Article 271, 1-17. https://doi.org/10.1145/3544548.3580932
Recommended citation: Chengzhong Liu, Shixu Zhou, Dingdong Liu, Junze Li, Zeyu Huang, and Xiaojuan Ma. 2023. CoArgue_: Fostering Lurkers' Contribution to Collective Arguments in Community-based QA Platforms. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 271, 1-17. https://doi.org/10.1145/3544548.3580932
Download Paper