No comments: Addressing commentary sections in websites' analyses
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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.
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