Bias detection on the Web is a complex and multifaceted problem, which implies cultural, ideological and discourse analysis issues. In the context of the LivingKnowledge European Project (http://livingknowledge. europarchive.org/), different methods have been developed to deal with bias. In this paper we present our annotation-based approach, tested with a corpus of 40 climate change websites, to which manual annotation has been applied.
Towards Automatic Analysis of Climate Change Websites: a Contribution to the LivingKnowldge Project
PORTA, MARCO
2012-01-01
Abstract
Bias detection on the Web is a complex and multifaceted problem, which implies cultural, ideological and discourse analysis issues. In the context of the LivingKnowledge European Project (http://livingknowledge. europarchive.org/), different methods have been developed to deal with bias. In this paper we present our annotation-based approach, tested with a corpus of 40 climate change websites, to which manual annotation has been applied.File in questo prodotto:
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