The Effect of Bots on Human Interaction in Online Communities

• 成果类型: Article
• 署名作者: Safadi, Hani; Lalor, John P.; Berente, Nicholas
• 署名单位: University System of Georgia; University of Georgia; University of Notre Dame; University of Notre Dame
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2023/17901
• 发表日期: 2024
• 页码: 1279-1296
• 关键词: SOCIAL-EXCHANGE THEORY; OPEN COLLABORATION; INNOVATION; emergence; DYNAMICS; rise; user; EVOLUTION; strangers; networks

摘要

We investigate how bots influence human-to-human interaction in online communities. In doing so, we distinguish between reflexive and supervisory bots delegated by community participants and moderators, respectively. We hypothesize that reflexive bot activity will reduce direct reciprocity and increase generalized reciprocity and that supervisory bot activity will reduce preferential attachment among human participants. Through an analysis of almost 70 million posts on the discussion communities on Reddit, a popular platform for online discussions, we found support for the hypotheses.