jayneamol/kweli

Political Misinformation Classification Datasets # PolitiKweli PolitiKweli is a Swahili-English code-switched misinformation classification dataset # Dataset The dataset is available via DOI: 10.5281/zenodo.10228602. It contains: 1. *6,345 Swahili-English* annotated code-switched texts 2. *22,954 English annotated texts* 3. *211 Swahili* annotated texts. # Papers 1. Publication papers from Deep Learning Indaba Conference, 2023. Link: openreview.net 2. Proceedings from Second International Conference on Speech & Language Technology for Low-resource Languages (SPELLL), 2023. Link: link.springer.com # Cite Amol, C., Wanzare, L., Obuhuma, J. (2024). PolitiKweli: A Swahili-English Code-Switched Twitter Political Misinformation Classification Dataset. In: Chakravarthi, B.R., et al. Speech and Language Technologies for Low-Resource Languages. SPELLL 2023. Communications in Computer and Information Science, vol 2046. Springer, Cham. doi.org # References The dataset is available for research and other academic related work. If you need access, kindly contact Cynthia Amol via cjayneamol028@gmail.com or cynthia@maseno.ac.ke