Antisemitism on Twitter: A Dataset for Machine Learning and Text Analytics

本数据集名为‘Antisemitism on Twitter: A Dataset for Machine Learning and Text Analytics’，由印第安纳大学布卢明顿分校和柏林工业大学的研究团队创建。数据集包含6,941条推文，这些推文涵盖了2019年至2021年间关于犹太人、以色列和反犹太主义的广泛话题。数据集的创建过程涉及使用关键词从Twitter抽取样本，并通过严格的标注流程确保数据质量。该数据集主要用于自动化检测反犹太言论，旨在减少误报并提高检测算法的准确性。

This dataset, titled 'Antisemitism on Twitter: A Dataset for Machine Learning and Text Analytics', was developed by a research team from Indiana University Bloomington and Technical University of Berlin. It contains 6,941 tweets covering a wide range of topics related to Jewish people, Israel, and antisemitism spanning from 2019 to 2021. The dataset was constructed by sampling tweets from Twitter using targeted keywords, with a rigorous annotation process implemented to ensure data quality. Primarily intended for automated antisemitic speech detection, this dataset aims to reduce false positives and improve the accuracy of detection algorithms.