天气影响表达情绪
Weather impacts expressed sentiment
摘要：
我们对气象条件和人类表情之间的关系进行了有史以来最大规模的调查。为此，我们在2009年至2016年期间使用了来自Facebook和Twitter的数千万人的超过35亿条社交媒体帖子。我们发现，寒冷的温度，炎热的温度，降水，较窄的每日温度范围，湿度和云量都与情绪表达的恶化有关，即使排除与天气有关的帖子。我们将我们的估计值与我们数据中发生的显著历史事件相关的效应量进行比较。
英文摘要：
We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of individuals from both Facebook and Twitter between 2009 and 2016. We find that cold temperatures, hot temperatures, precipitation, narrower daily temperature ranges, humidity, and cloud cover are all associated with worsened expressions of sentiment, even when excluding weather-related posts. We compare the magnitude of our estimates with the effect sizes associated with notable historical events occurring within our data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
