Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
Tessa Stanier, Hagyeong Shin

TL;DR
This paper analyzes Reddit comments on abortion to understand how language patterns reflect moral and political divisions, revealing that morality words correlate with stance differences.
Contribution
It applies lexical analysis, n-gram modeling, and topic modeling to Reddit abortion debates, linking language use to moral foundations and political polarization.
Findings
Morality words differ significantly between pro-life and pro-choice groups.
Lexical patterns reveal distinct moral considerations in each stance.
Topic structures align with moral and political divisions.
Abstract
This study investigates whether division on political topics is mapped with the distinctive patterns of language use. We collect a total 145,832 Reddit comments on the abortion debate and explore the languages of subreddit communities r/prolife and r/prochoice. With consideration of the Moral Foundations Theory, we examine lexical patterns in three ways. First, we compute proportional frequencies of lexical items from the Moral Foundations Dictionary in order to make inferences about each group's moral considerations when forming arguments for and against abortion. We then create n-gram models to reveal frequent collocations from each stance group and better understand how commonly used words are patterned in their linguistic context and in relation to morality values. Finally, we use Latent Dirichlet Allocation to identify underlying topical structures in the corpus data. Results show…
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Taxonomy
TopicsComputational and Text Analysis Methods · Media, Religion, Digital Communication · Hate Speech and Cyberbullying Detection
