Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness
This is an incremental position paper that addresses the problem of extracting structured arguments from noisy social media data for researchers and analysts.
The paper discusses the motivation, tasks, and challenges of argumentation mining from social media content, highlighting its difficulty due to informal user-generated data and its potential for valuable large-scale insights.
Argumentation mining from social media content has attracted increasing attention. The task is both challenging and rewarding. The informal nature of user-generated content makes the task dauntingly difficult. On the other hand, the insights that could be gained by a large-scale analysis of social media argumentation make it a very worthwhile task. In this position paper I discuss the motivation for social media argumentation mining, as well as the tasks and challenges involved.