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Cultural Differences in Tweeting about Drinking Across the US.
Salvatore Giorgi1,2, David B Yaden3, Johannes C Eichstaedt4
1Computer and Information Science Department, University of Pennsylvania, Philadelphia, PA 19104, USA.
Excessive alcohol use is linked to specific language patterns on Twitter, varying by region and culture. This research uses social media data to understand the sociocultural context of drinking behaviors.
Area of Science:
- Public Health
- Computational Social Science
- Sociolinguistics
Background:
- Excessive alcohol consumption in the US results in significant mortality and economic burden.
- Previous research indicates general social media engagement patterns can signal excessive alcohol use.
- The specific linguistic variations and cultural contexts of drinking-related language on social media remain underexplored.
Purpose of the Study:
- To characterize regional and cultural variations in drinking-specific language on Twitter within the US.
- To correlate linguistic markers of excessive alcohol use on Twitter with self-reported consumption data.
- To identify sociocultural determinants of excessive alcohol use through social media analysis.
Main Methods:
- Analysis of 38 billion public tweets, focusing on those mentioning "drunk".
- Identification and clustering of distinctive drinking-related words and phrases.
- Correlation of geolocated "drunk" tweets with county- and state-level excessive alcohol consumption data (Behavioral Risk Factor Surveillance System).
- Examination of linguistic markers across different cultural communities (American Community Project).
Main Results:
- A significant correlation was found between "drunk" tweet frequency and excessive alcohol consumption at both county (r=0.26) and state (r=0.45) levels.
- Topic analysis revealed excessive alcohol use is associated with discussions of drinking with friends, family, and driving under the influence.
- Cultural analysis identified distinct patterns: religious communities showed high anti-drunk driving mentions, Hispanic communities discussed family drinking, and college towns focused on sexual behavior.
Conclusions:
- Twitter data can effectively reveal the specific sociocultural contexts of excessive alcohol use across diverse US regions and communities.
- Findings highlight the potential for social media analytics to inform targeted public health interventions for alcohol abuse.
- Understanding cultural determinants of substance abuse through social media provides valuable insights for public health strategies.
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