Digital Social Sciences (DSS) is a peer-reviewed, open-access journal dedicated to advancing the understanding of how digital technologies transform social structures, behaviors, institutions, and relations. The journal provides a critical, interdisciplinary forum for the development, application, and reflection of digital research methodologies within the social sciences. DSS aims to bridge the gap between computational innovation and social inquiry. It responds to the challenge of rapidly growing digital data sources (born-digital archives, social media, administrative data) and computational methods (big data analytics, network analysis, simulation, NLP) outpacing existing theoretical and ethical frameworks in traditional social science publishing. The journal prioritizes work that not only uses digital tools but also critically examines their epistemological, ethical, and societal implications. Specifically, DSS aims to publish high-quality original research at the intersection of social science disciplines (sociology, political science, economics, anthropology, geography, law, communication studies) and digital methodologies. The journal fosters critical reflection on the history, current practice, and theory of digital social research, including issues of Indigenous data sovereignty, postcolonial digital studies, gender and technology, algorithmic bias, digital inequality, surveillance, and data justice.