Global Artificial Intelligence News Headlines (GAIN-H) Corpushttps://doi.org/10.7910/DVN/7C6FNOSamuel, JimSiritha ChidipothuKhanna, TanyaLakra, AshishVidhi GalaHarvard Dataverse2026-06-052026-06-09T19:21:12ZThe Global Artificial Intelligence News Headlines (GAIN-H) is an open-access public informatics collection of three complementary datasets containing over 2.5 million artificial intelligence-related news headlines gathered from global news sources across multiple languages, countries, and time periods. The repository was created to support interdisciplinary research on how artificial intelligence is represented, framed, and discussed within the public sphere. The collection includes: (1) a metadata-rich corpus with temporal, linguistic, and URL-structural features; (2) a large-scale longitudinal corpus optimized for temporal analysis; and (3) an extended multilingual corpus containing search-term metadata that enables keyword-stratified analysis of AI discourse. Together, these datasets span more than two decades of AI-related news coverage and provide researchers with resources for studying media framing, sentiment, public discourse, AI governance, communication, computational social science, and natural language processing. The repository is intended for researchers, policymakers, educators, journalists, practitioners seeking to examine trends in AI-related media coverage across time, geography, language, and thematic domains. The datasets are released to promote transparency, reproducibility, and evidence-based research on the societal implications of artificial intelligence. The datasets were developed as part of the RAISE (Rethinking AI for Shared Empowerment) initiative at the MPI Program, Bloustein School, Rutgers University, and AIXosphere AI behavioral trends research.Computer and Information ScienceSocial Sciences2026-06-05Jim SamuelTanya KhannaAshish LakraVidhi Gala2026-06-03CC0 1.0