# Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness

arXiv: https://arxiv.org/abs/1701.00168 · HTML: https://mlsanity.com/paper/1701.00168/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Dec 2016.

## Built on by (most cited first, 2 of 2)

- [Claim Detection in Biomedical Twitter Posts](https://mlsanity.com/paper/2104.11639/) (2021)
- [Online Handbook of Argumentation for AI: Volume 2](https://mlsanity.com/paper/2106.10832/) (2021)

## Abstract (arXiv)

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.