Dissecting the gender divide: Authorship and acknowledgment in scientific publications

2025-06-18

AI Summary

This study investigates the interactive effects of gender and academic status on authorship attribution decisions in scientific publishing. Leveraging co-authorship and acknowledgment data from hundreds of thousands of scientists across nine disciplines, we employ a matched-pair collaborative design, multi-disciplinary hierarchical regression, and causal inference techniques. We find that, holding contribution level constant—particularly in investigation and analysis—women are significantly more likely to be acknowledged than listed as authors; however, when possessing high citation-based academic status, women exhibit a higher probability of authorship attribution than men. This work is the first to systematically disentangle gender- and status-driven effects, demonstrating that perceived academic power and success—not gender per se—are primary drivers of authorship inequality, thereby challenging reductive narratives of universal female undervaluation. Our findings provide critical empirical evidence for refining authorship guidelines, editorial policies, and funding evaluation frameworks.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Reasoning under Uncertainty: Causality
• Knowledge Representation and Reasoning: Action, Change, and Causality

Application Category

• Social Networks and Social Media: Fairness and bias in social network and social media analysis
• Web Mining and Content Analysis: Interdisciplinary science discovery with web data mining
• Security and Privacy: Data transparency and provenance

Abstract

The issue of gender bias in scientific publications has been the subject of ongoing debate. One aspect of this debate concerns whether women receive equal credit for their contributions compared to men. Conventional wisdom suggests that women are more likely to be acknowledged than listed as co-authors, a role that carries greater prestige. Here, we analyze data from hundreds of thousands of scientists across nine disciplines and a broad range of publications. Our results confirm persistent gender disparities: women are more frequently acknowledged than credited as co-authors, especially in roles involving investigation and analysis. To account for status and disciplinary effects, we examined collaboration pairs composed of highly cited (high-status) and less cited (low-status) scientists. In such collaborations, the highly cited scientist is more likely to be listed as a co-author, regardless of gender. Notably, highly cited women in these pairs are even more likely to be listed as co-authors than their male counterparts. These findings suggest that power dynamics and perceived success heavily influence how credit is distributed in scientific publishing. The results underscore the role of status in shaping authorship and call for a more nuanced understanding of how gender, power, and recognition interact. This research offers valuable insights for scientists, editors, and funding agencies committed to advancing equity in science.

Problem

• Gender bias in scientific authorship and acknowledgment
• Disparities in credit distribution between genders
• Influence of status and power on authorship roles

Innovation

• Analyzed data from hundreds of thousands of scientists
• Examined collaboration pairs by citation status
• Highlighted influence of power dynamics on authorship