Abstract
Gender issues are becoming the most contentious in contemporary Chinese public opinion, yet how they reshape ideological cleavages among citizens has received little scholarly attention. This study investigates the ideological linkage between nationalism and feminism among Chinese Internet users, exploring whether support for nationalist views predicts opposition to feminist movements. By collecting a novel dataset of Weibo posts during 2025, this study employs supervised and unsupervised machine learning techniques to code the ideological orientations of these posts and to examine their latent configurations. Findings reveal that among Chinese users, those who support nationalism are more likely to oppose feminism. Further, more extreme pro-nationalist stances are positively correlated with more radical anti-feminist sentiments. The posts can be categorized into inclusionary and exclusionary nationalism, with the latter constituting the majority and accounting for anti-feminist attitudes. This ideological configuration is more prevalent among males and those more occupied with work.