And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue
This work addresses the challenge of analyzing argumentation styles in online dialogue, which is incremental as it builds on existing annotation and pattern extraction techniques.
The study tackled the problem of distinguishing factual and emotional argumentation in online debates by analyzing annotated forum posts to extract patterns, resulting in an automated method that identified linguistic expressions highly correlated with each style.
We investigate the characteristics of factual and emotional argumentation styles observed in online debates. Using an annotated set of "factual" and "feeling" debate forum posts, we extract patterns that are highly correlated with factual and emotional arguments, and then apply a bootstrapping methodology to find new patterns in a larger pool of unannotated forum posts. This process automatically produces a large set of patterns representing linguistic expressions that are highly correlated with factual and emotional language. Finally, we analyze the most discriminating patterns to better understand the defining characteristics of factual and emotional arguments.