Gender-Specific Sentiment and Lexical Patterns in Teenage Communication

ISBN: 979-8-89480-841-3


This study examined lexical and sentiment patterns in about 1,000 recent Reddit posts, focusing on gender-based and thematic variations. Sentiment analysis employed polarity scores, where positive values indicated positivity and negative values reflected negativity, to classify posts as positive, neutral, or negative. Posts linked to males showed slightly higher average sentiment polarity compared to those linked to females. Sentiment trends also varied significantly by theme, with categories like “Discussion” and “Social” displaying relatively neutral tones, while flairs such as “Music” and “Meme” leaned toward more polarized extremes, highlighting distinct emotional dynamics. Gender-based analysis uncovered subtle differences in sentiment expression. Male-linked posts tended to reflect slightly positive average sentiments, whereas female-linked posts leaned more toward neutrality. Overall, males demonstrated Gender-Specific Sentiment and Lexical Patterns in Teenage Communication Christian Draven Chung more positive emotional tones compared to females. These findings underscore how emotional and linguistic differences among teenagers are shaped by gender. The study also explored sentiment distribution by gender, revealing that both groups had neutral median sentiments. However, males exhibited slightly less variability, while both genders showed outliers, indicating instances of heightened emotional expression in specific contexts. By integrating sentiment and lexical analysis, the study offers a nuanced perspective on teenage communication on Reddit. Males and females displayed distinct emotional expressions, with males favoring humor and discussions, while females leaned toward relational and socially oriented topics. Additionally, flair-specific word usage emphasized topic-driven linguistic styles. Together, these insights enhance our understanding of teenage online behavior, illuminating the interplay between emotion, and engagement in digital communities.

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