No comments: Addressing commentary sections in websites' analyses
Computation and Language
2021-04-20 v1
Abstract
Removing or extracting the commentary sections from a series of websites is a tedious task, as no standard way to code them is widely adopted. This operation is thus very rarely performed. In this paper, we show that these commentary sections can induce significant biases in the analyses, especially in the case of controversial Highlights Commentary sections can induce biases in the analysis of websites' contents Analyzing these sections can be interesting per se. We illustrate these points using a corpus of anti-vaccine websites. We provide guidelines to remove or extract these sections.
Cite
@article{arxiv.2104.09113,
title = {No comments: Addressing commentary sections in websites' analyses},
author = {Florian Cafiero and Paul Guille-Escuret and Jeremy Ward},
journal= {arXiv preprint arXiv:2104.09113},
year = {2021}
}
Comments
6th International Conference on Computational Social Science, Massachusetts Institute of Technology (MIT), Jul 2020, Cambridge, MA, United States