NDLI: Evaluating controversial articles on Wikipedia by talk page analysis

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Evaluating controversial articles on Wikipedia by talk page analysis

Content Provider	Semantic Scholar
Author	Sudario, Avendaño Roberto, Allan
Copyright Year	2014
Abstract	This Master Thesis is aimed to provide an evaluation methodology for trustworthiness on collaborative systems. Currently, community managers or credible contributors require a sophisticated tools for supporting their decisions on breaking discussions. These tools should analyze in deep the underlying behavior of members reflected through their unconscious acts when their interact among them. In particular, sentimental analysis is becoming one of the most trustworthy methodology for reflecting the intention of the authors through their words used on their comments or conversation threads. The methodology shown here relies on text analysis through sentimental analysis techniques. In particular, the text studied here is extracted from Wikipedia’ talk pages. For that, this thesis is divided in two main parts. The first part of this thesis covers the problem of identifying a certain point of agreement while authors interact on a discussion on Wikipedia talk pages. In the second part is considered the techniques for analyzing sets of controversial and featured pages. Here have been developed four approaches on different aspects to analyze: First, an analysis among controversial and featured topics based upon classification methods. Secondly, the analysis is refined through nine categories in common among controversial and featured topics. Third, it is proposed a methodology for determining whether a non-labeled page based upon models constructed on the first approach. The last approach is to identify some metrics by using Social Network Analysis.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://repositorio.educacionsuperior.gob.ec/bitstream/28000/1448/1/T-SENESCYT-00433.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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