Past, Present, and Future of Citation Practices in HCI
Jonas Oppenlaender
TL;DR
The paper analyzes how a 2016 CHI policy shift lifting page limits on references coincided with a sustained, near-linear rise in mean references per CHI article, forecasting around $129.5$ references by 2030. Using data from 11,542 CHI articles (1981–2024) and an event-study design, it isolates the policy as a key driver while examining co-occurring factors such as arXiv citations, data/code repository mentions, literature reviews, collaboration, and predatory publishers. The study finds a significant post-policy change shift in citation practices, with predatory-publisher citations contributing notably, though several factors like arXiv and repositories show nuanced effects; awards and collaboration alone do not fully explain the trend. The authors discuss implications for authors, reviewers, and policy-makers, and propose potential remedies including policy caps, AI-assisted literature tools, revised peer review processes, and pre-registered reference limits to foster more sustainable scholarly communication in HCI.
Abstract
Science is a complex system comprised of many scientists who individually make decisions that, due to the size and nature of the academic system, largely do not affect the system as a whole. However, certain decisions at the meso-level of research communities, such as the Human-Computer Interaction (HCI) community, may result in deep and long-lasting behavioral changes in scientists. In this article, we provide empirical evidence on how a change in editorial policies introduced at the ACM CHI Conference in 2016 destabilized the CHI research community and launched it on an expansive path, denoted by a year-by-year increase in the mean number of references included in CHI articles. If this near-linear trend continues undisrupted, an article at CHI 2030 will include on average almost 130 references. The trend toward more citations reflects a citation culture where quantity is prioritized over quality, contributing to both author and peer reviewer fatigue. Our exploratory analysis highlights the profound impact of meso-level policy adjustments on the evolution of scientific fields and disciplines, urging all stakeholders to carefully consider the broader implications of such changes.
