Difference between revisions of "Predicting Controversy of Wikipedia Articles Using the Article Feedback Tool"
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| − | '''Predicting Controversy of Wikipedia Articles Using the Article Feedback Tool''' - scientific work related to Wikipedia quality published in 2014, written by Michal Jankowski-Lorek, Radoslaw Nielek, Adam Wierzbicki and Kazimierz Zieliński. | + | '''Predicting Controversy of Wikipedia Articles Using the Article Feedback Tool''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Michal Jankowski-Lorek]], [[Radoslaw Nielek]], [[Adam Wierzbicki]] and [[Kazimierz Zieliński]]. |
== Overview == | == Overview == | ||
| − | Different points of view, opinions and controversies constitute the inherent part of modern society. Early detection of controversy is crucial for increasing productivity in peer production systems. The paper presents novelty approach to detecting controversial articles on the Wikipedia based on users ratings from Article Feedback Tool. The performance of proposed approach is on par with state-of-the-art solutions, but may also be applied outside Wikipedia-like systems. Additionally, emotion polarity measures can be used to locate controversial parts of articles, based on talk pages sections. With help of proposed algorithms, all articles in English Wikipedia have been tagged as either controversial or non-controversial. The dataset has been published and can be used by other researchers. | + | Different points of view, opinions and controversies constitute the inherent part of modern society. Early detection of controversy is crucial for increasing productivity in peer production systems. The paper presents novelty approach to detecting controversial articles on the [[Wikipedia]] based on users ratings from Article Feedback Tool. The performance of proposed approach is on par with state-of-the-art solutions, but may also be applied outside Wikipedia-like systems. Additionally, emotion polarity [[measures]] can be used to locate controversial parts of articles, based on [[talk pages]] sections. With help of proposed algorithms, all articles in [[English Wikipedia]] have been tagged as either controversial or non-controversial. The dataset has been published and can be used by other researchers. |
Revision as of 23:26, 16 September 2019
Predicting Controversy of Wikipedia Articles Using the Article Feedback Tool - scientific work related to Wikipedia quality published in 2014, written by Michal Jankowski-Lorek, Radoslaw Nielek, Adam Wierzbicki and Kazimierz Zieliński.
Overview
Different points of view, opinions and controversies constitute the inherent part of modern society. Early detection of controversy is crucial for increasing productivity in peer production systems. The paper presents novelty approach to detecting controversial articles on the Wikipedia based on users ratings from Article Feedback Tool. The performance of proposed approach is on par with state-of-the-art solutions, but may also be applied outside Wikipedia-like systems. Additionally, emotion polarity measures can be used to locate controversial parts of articles, based on talk pages sections. With help of proposed algorithms, all articles in English Wikipedia have been tagged as either controversial or non-controversial. The dataset has been published and can be used by other researchers.
