h1

Gender in Twitter: Styles, stances, and social networks

February 14, 2013

We present a study of the relationship between gender, linguistic style, and social networks, using a novel corpus of 14,000 users of Twitter. Prior quantitative work on gender often treats this social variable as a binary; we argue for a more nuanced approach. By clustering Twitter feeds, we find a range of styles and interests that reflects the multifaceted interaction between gender and language. Some styles mirror the aggregated language-gender statistics, while others contradict them. Next, we investigate individuals whose language better matches the other gender. We find that such individuals have social networks that include significantly more individuals from the other gender, and that in general, social network homophily is correlated with the use of same-gender language markers. Pairing computational methods and social theory thus offers a new perspective on how gender emerges as individuals position themselves relative to audiences, topics, and mainstream gender norms.

Study by a trio of linguists and computer scientists (David Bamman, Jacob Eisenstein, Tyler Schnoebelen) that looks at the gendered expression of language online. PDF HERE
Image above via

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s