在财务报告中探索性别刻板印象:使用大数据和深度学习进行面向层面的情绪分析.
Fabiola Jeldes-Delgado1,2, Tiago Alves Ferreira3, David Diaz4
1Escuela de Negocios Internacionales, Universidad de Valparaíso, Valparaíso, Chile.
Heliyon
|November 7, 2024
概括
性别刻板印象极大地影响了财务报告中的女性形象,其驱动因素是经济状况,而不是企业形象管理. 经济不稳定性增加了女性的代表性,而金融包容性显示出积极的相关性.
科学领域:
- 商业与金融 商业与金融
- 计算机科学 计算机科学
- 社会学 社会学 社会学
背景情况:
- 财务报告往往包含定性信息,或"软信息",影响利益相关者的看法.
- 财务报告中的视觉元素,如图像,是这种软信息的重要组成部分.
- 了解影响图像选择的因素对于解释公司披露中传达的信息至关重要.
研究的目的:
- 调查性别刻板印象和经济因素对财务报告图像中女性代表性的影响.
- 分析企业印象管理策略与女性视觉描绘之间的关系.
- 评估图像选择实践与会计中立原则的一致性.
主要方法:
- 面向层面的情绪分析应用于大数据,包括来自智利2,085份财务报告中的129,251张人脸图像.
- 利用深度学习技术进行图像分析和特征提取.
- 图像表示,经济指标和金融包容度量之间的相关性分析.
主要成果:
- 性别刻板印象和外部经济因素在很大程度上影响了女性的形象,超过了企业印象管理的努力.
- 经济扩张与女性代表性下降相关,而经济不稳定增加了这一比例.
- 妇女更高的财务包容性与她们在报道图像中的存在有积极的相关性,这表明图像选择存在偏见.
结论:
- 财务报告中的图像选择受性别刻板印象和经济周期的影响,而不仅仅是故意的公司沟通.
- 这些发现表明,国际会计准则委员会 (IASB) 拥护的中立原则有所偏离.
- 这项研究通过大数据和深度学习镜头提供了对性别刻板印象,财务报告软信息和业务印象管理的新见解.
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