朱英朋，博士就读于香港科技大学，信息系统专业，研究兴趣为在线社区，知识分享，推荐系统，可解释性人工智能，人工智能交互等。研究方法为因果推断，自然实验，田野实验，机器学习，文本挖掘等。
时间：9月28日（星期三）13:30开始
腾讯会议号：264 277 350
讲座题目: Complementary or Substitutive? Low-Effort Content Production and High-Effort Knowledge Contribution in Online Q&A Communities: Evidence from a Quasi-Experiment
讲座摘要: We study a novel strategy deployed by user-generated content (UGC) platforms to address underprovision. This strategy involves the use of an additional low-barrier content curation tool that allows users to post low-effort content distinct from the high-effort content that is standard on the platforms. It remains theoretically ambiguous whether the introduction of this low-barrier content tool complements or cannibalizes the contribution of high-effort content. By leveraging a quasi-experiment on a large Chinese online question-and-answer (Q&A) platform, we identify the causal effects of the low-barrier content tool on incentives for users to contribute high-effort content (i.e., answers to others' questions) in a difference-in-differences framework. We find that the use of this low-barrier tool complements the contributed answers; adopters of the newly introduced low-barrier content tool increase their volume of contributed answers without compromising the effort spent on each answer. Further analyses suggest that the reason for this complementary effect might be that the additional content tool increases users' engagement levels on the platform and prompts them to consume more knowledge content, increasing their incentives to contribute answers. Additional analyses show that this complementary effect is more pronounced for new users and users who mainly use the new tool to post knowledge-related content instead of personal, casual content. Our results have novel implications for platform designs and interventions to motivate users to contribute UGC.
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人事与师资工作办公室
2022年9月22日
