Political Advertising Dataset

Political Advertising Dataset 是由弗罗茨瓦夫科技大学计算智能系创建的，旨在分析波兰2020年总统选举中的政治广告。该数据集包含1,705条人工标注的波兰语推文，这些推文被标记为九个类别，符合波兰选举法中的竞选规定。数据集的创建过程涉及从候选人和委员会网站、Facebook粉丝页面等收集政治广告主题，并通过多次迭代与标注团队合作，确保类别的准确性和一致性。该数据集主要用于训练神经标签器，以识别和分类社交媒体上的政治广告内容，特别是在选举期间，帮助研究人员分析政治广告的影响和效果。

The Political Advertising Dataset was developed by the Department of Computational Intelligence at Wrocław University of Science and Technology to analyze political advertisements during the 2020 Polish presidential election. This dataset includes 1,705 manually annotated Polish-language tweets, which are categorized into nine classes that comply with the campaign regulations specified in Polish election law. The dataset construction process involved collecting political advertisement themes from candidate and committee websites, Facebook fan pages, and other relevant sources, and collaborating with the annotation team across multiple iterations to ensure the accuracy and consistency of the classification categories. This dataset is primarily utilized for training neural taggers to identify and classify political advertisement content on social media, particularly during election periods, to support researchers in analyzing the impact and effectiveness of political advertisements.