TL;DR
This study leverages Twitter data to analyze the cultural and linguistic variability in the usage and semantics of part-of-day nouns and greetings across different countries and cultures.
Contribution
It demonstrates how social media data can be used to study semantic and cultural variations in temporal expressions worldwide.
Findings
Twitter data reveals cultural differences in greeting usage.
Temporal expressions vary significantly across countries.
Insights into semantics and sociocultural factors influencing part-of-day nouns.
Abstract
The usage of part-of-day nouns, such as 'night', and their time-specific greetings ('good night'), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics of these terms and its variability between countries. We mine a worldwide sample of multilingual tweets with temporal greetings, and study how their frequencies vary in relation with local time. The results provide insights into the semantics of these temporal expressions and the cultural and sociological factors influencing their usage.
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