The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines

TL;DR

This paper investigates how weather affects social media sentiment, emphasizing the importance of accounting for climatic and linguistic baselines to improve analysis accuracy and understanding of public mood responses.

Contribution

It introduces a context-sensitive approach that incorporates climate and linguistic baselines to enhance weather-related sentiment analysis on social media.

Findings

Emotional responses to weather are complex and influenced by multiple factors.

Regional language differences significantly affect sentiment analysis accuracy.

Context-aware methods improve understanding of public mood in response to weather.

Abstract

This study explores how different weather conditions influence public sentiment on social media, focusing on Twitter data from the UK. By considering climate and linguistic baselines, we improve the accuracy of weather-related sentiment analysis. Our findings show that emotional responses to weather are complex, influenced by combinations of weather variables and regional language differences. The results highlight the importance of context-sensitive methods for better understanding public mood in response to weather, which can enhance impact-based forecasting and risk communication in the context of climate change.