利用人工智能来识别与阴谋论信念相关的心理因素在线
Jonas R Kunst1, Aleksander B Gundersen2, Izabela Krysińska3
1Department of Psychology, University of Oslo, Oslo, Norway. j.r.kunst@psykologi.uio.no.
Nature communications
|August 29, 2024
概括
老年,强烈的政治倾向和对虚假的信仰增加了对在线COVID-19阴谋论的支持. 这项研究将心理特征与现实世界的社交媒体行为联系起来,确定了关键的风险因素.
科学领域:
- 心理学 心理学 心理学
- 社会学 社会学 社会学
- 计算社会科学 计算社会科学
背景情况:
- 阴谋论具有重大的社会影响,需要对其传播进行研究.
- 现有的研究往往缺乏大规模的行为数据,使得在线支持因素不清楚.
- 了解在线阴谋论认可的心理驱动因素至关重要.
研究的目的:
- 为了确定心理和人口因素,预测在社交媒体上支持COVID-19阴谋论的支持.
- 为了弥合自我报告的心理特征和实际在线行为之间的差距.
- 使用调查数据和大行为数据分析的组合来验证风险因素.
主要方法:
- 结合了2506名Twitter (X) 用户的自我报告调查和机器学习分析.
- 机密化了770万个社交媒体参与,以支持六个常见的COVID-19阴谋论.
- 评估了人口因素,政治立场,理性行动变量理论和心理差异.
主要成果:
- 高龄,强烈的政治认同 (非常左翼或非常右翼),以及对虚假信息的信念是一致的风险因素.
- 否认倾向,过度自信发现错误信息,政治保守主义与支持特定理论相关.
- 对大型行为数据的AI分析有效地识别和验证了这些风险因素.
结论:
- 心理和人口因素在很大程度上预测了对COVID-19阴谋论的在线支持.
- 将人工智能与自我报告数据集成为研究在线现象提供了一个强大的方法.
- 调查结果突出了针对错误信息的干预措施的关键漏洞和潜在目标.
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