发表机构
Siebel School of Computing and Data Science; University of Illinois Urbana-Champaign（西贝尔计算与数据科学学院; 伊利诺伊大学厄巴纳-香槟分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文分析2007至2026年ICWSM的2,139篇论文，揭示平台从博客转向Twitter和Reddit，治理线索从4.0%升至34.3%，并总结方法进展及AI对研究的影响，提供报告清单。
AI 中文摘要
在过去的二十届中，ICWSM社区随着平台、互动和研究方法的变化，审视了线上社会生活。在这个关键节点，当人工智能日益重塑人们在线交流的方式时，这一研究体系能告诉我们什么？我们分析了2007年至2026年间收录的2,139篇贡献，通过非负矩阵分解识别出的主题与通过显式文本线索捕捉的问题框架进行了区分。我们发现，平台提及从博客转向Twitter，最近又转向Reddit。在线社区研究保持了相似的主题占比（从10.5%到10.0%），但其内部的治理线索从4.0%增加到34.3%。在将摘要限制为固定长度后，与危害相关的线索也有所增加。我们的综述还追踪了抽样、测量以及因果和实验方法的进展。我们讨论了AI中介的互动如何使这些问题复杂化，并提供了一个报告清单，以支持跨不断变化的平台的研究。
英文摘要
Over twenty editions, the ICWSM community has examined social life online as platforms, interactions, and research methods have changed. What can this body of research tell us at this critical juncture, as AI increasingly reshapes how people communicate online? We analyzed 2,139 indexed contributions from 2007 to 2026, distinguishing topics identified through nonnegative matrix factorization from problem framings captured through explicit textual cues. We find that platform mentions shift from blogs toward Twitter and, more recently, Reddit. Online community research maintains a similar topic share (10.5% to 10.0%), but governance cues within it increase from 4.0% to 34.3%. Harm-related cues also increase after restricting abstracts to a fixed length. Our review also traces advances in sampling, measurement, and causal and experimental methods. We discuss how AI-mediated interactions complicate these questions and provide a reporting checklist to support research across changing platforms.
