What a Nasty day: Exploring Mood-Weather Relationship from Twitter
This research addresses the long-debated issue of weather-mood correlation for psychologists and social scientists, but it is incremental as it uses a new data source without introducing a novel method.
The paper tackled the problem of understanding the correlation between weather and human mood by analyzing 2 years of Twitter data, revealing findings that both confirm and contradict existing hypotheses.
While it has long been believed in psychology that weather somehow influences human's mood, the debates have been going on for decades about how they are correlated. In this paper, we try to study this long-lasting topic by harnessing a new source of data compared from traditional psychological researches: Twitter. We analyze 2 years' twitter data collected by twitter API which amounts to $10\%$ of all postings and try to reveal the correlations between multiple dimensional structure of human mood with meteorological effects. Some of our findings confirm existing hypotheses, while others contradict them. We are hopeful that our approach, along with the new data source, can shed on the long-going debates on weather-mood correlation.