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经济新闻在预测自杀事件中的作用
Francesco Moscone1, Elisa Tosetti2, Giorgio Vittadini3
1Brunel University London, United Kingdom; Ca' Foscari University of Venice, Italy.
Economics and human biology
|August 22, 2024
概括
经济新闻中的媒体语言预测了自杀率. 高度负面的评论,特别是那些表达恐惧和绝望的评论,表明人口心理健康状况恶化,提供了早期预警系统.
科学领域:
- 公共卫生 公共卫生
- 精神病学是一个精神病学.
- 计算社会科学 计算社会科学
背景情况:
- 在英格兰和威尔士的官方自杀统计数据有显著的报告延迟.
- 媒体对经济新闻的报道是广泛和广泛传播的.
- 情绪分析为了解公众情绪及其潜在的健康影响提供了一种新的方法.
研究的目的:
- 调查媒体语言关于经济新闻和自杀率的预测能力.
- 探索情绪分析对于现在预测和预测自杀的有用性.
- 在媒体中识别特定的语言标记,这些标志着人口心理健康的下降.
主要方法:
- 分析了超过20万篇英国报纸文章 (2001-2015年).
- 在经济新闻评论中应用情绪分析来识别负面情绪 (恐惧,绝望).
- 相关性和预测模型将媒体情绪指标与全国每日自杀数字联系起来.
主要成果:
- 媒体对经济的高度负面评论预测了自杀人数的增加.
- 当语言传达强烈的情绪,如恐惧和绝望时,预测能力更强大.
- 媒体情绪是人口心理健康趋势的主要指标.
结论:
- 分析经济状况的媒体语言可以作为自杀率上升的早期预警系统.
- 对新闻文章的情绪分析提供了对人口心理健康的有价值,及时的见解.
- 这种方法可以补充监测公众精神健康的传统方法.
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