Stance detection concerns automatically determining the viewpoint (i.e., in favour of, against, or neutral) of a text's author towards a target. Stance detection has been applied to many research topics, among which the detection of stances behind political tweets is an important one. In this paper, we apply stance detection to a dataset of tweets from official party accounts in the Netherlands between 2017 and 2021, with a focus on stances towards traditional gender role division, a dividing issue between (some) Dutch political parties. To implement and improve stance detection of traditional gender role division, we propose to leverage an established survey instrument from social sciences, which has been validated for the purpose of measuring attitudes towards traditional gender role division. Based on our experiments, we show that using such a validated survey instrument helps to improve stance detection performance.

翻译：立场检测旨在自动识别文本作者对特定目标的观点（即支持、反对或中立）。该技术已应用于众多研究领域，其中政治推文背后的立场检测尤为重要。本文针对2017年至2021年间荷兰政党官方账号的推文数据集进行立场检测研究，重点关注对传统性别角色分工的立场——这是（部分）荷兰政党间存在分歧的议题。为实现并改进传统性别角色分工的立场检测，我们提出利用社会科学领域成熟的测量工具，该工具已通过验证可用于测量对传统性别角色分工的态度。实验结果表明，采用此类经过验证的测量工具有助于提升立场检测的性能。