@inproceedings{olsen-etal-2024-socio,
    title = "Socio-political Events of Conflict and Unrest: A Survey of Available Datasets",
    author = "Olsen, Helene  and
      Simon, {\'E}tienne  and
      Velldal, Erik  and
      {\O}vrelid, Lilja",
    editor = {H{\"u}rriyeto{\u{g}}lu, Ali  and
      Tanev, Hristo  and
      Thapa, Surendrabikram  and
      Uludo{\u{g}}an, G{\"o}k{\c{c}}e},
    booktitle = "Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)",
    month = mar,
    year = "2024",
    address = "St. Julians, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.case-1.5/",
    pages = "40--53",
    abstract = "There is a large and growing body of literature on datasets created to facilitate the study of socio-political events of conflict and unrest. However, the datasets, and the approaches taken to create them, vary a lot depending on the type of research they are intended to support. For example, while scholars from natural language processing (NLP) tend to focus on annotating specific spans of text indicating various components of an event, scholars from the disciplines of political science and conflict studies tend to focus on creating databases that code an abstract but structured representation of the event, less tied to a specific source text.The survey presented in this paper aims to map out the current landscape of available event datasets within the domain of social and political conflict and unrest {--} both from the NLP and political science communities {--} offering a unified view of the work done across different disciplines."
}