Since its inception in 2001, Wikipedia has become the largest encyclopedia ever created in human history. With over 4 million articles in the English edition alone, it has become the highest-traffic educational website on the Internet. It receives over 100,000 edits per day, which can be daunting for human editors to monitor for vandalism, spam, or other inappropriate content. While there are e...

Little is known about what causes anti-social behavior online. The paper at hand analyzes vandalism and damage in Wikipedia with regard to the time it is conducted and the country it originates from. First, we identify vandalism and damaging edits via ex post facto evidence by mining Wikipedia’s revert graph. Second, we geolocate the cohort of edits from anonymous Wikipedia editors using their ...

WikiTrust is a reputation system for Wikipedia authors and content. WikiTrust computes three main quantities: edit quality, author reputation, and content reputation. The edit quality measures how well each edit, that is, each change introduced in a revision, is preserved in subsequent revisions. Authors who perform good quality edits gain reputation, and text which is revised by several high-r...

This paper studies the effective factors involving in the attitudes of make students toward vandalism at high –schools in 2012-2013. Theories which applied here are ratio communication of Sutherland, kellawarel and online. Merton anomie, Heir chi's social ties and Good's family structure Throuah Cochran's formula more than 376 ones were chosen. The data wave analyzed  by   SPSS and  the statist...

The WSDM Cup 2017 is a binary classification task for classifying Wikidata revisions into vandalism and non-vandalism. This paper describes our method using some machine learning techniques such as under-sampling, feature selection, stacking and ensembles of models. We confirm the validity of each technique by calculating AUC-ROC of models using such techniques and not using them. Additionally,...

This vandalism detector uses features primarily derived from a wordpreserving differencing of the text for each Wikipedia article from before and after the edit, along with a few metadata features and statistics on the before and after text. Features computed from the text difference are then a combination of statistics such as length, markup count, and blanking along with a selected number of ...

The paper applies knowledge transfer methods to the problem of detecting Wikipedia vandalism detection, defined as malicious editing intended to compromise the integrity of the content of articles. A major challenge of detecting Wikipedia vandalism is the lack of a large amount of labeled training data. Knowledge transfer addresses this challenge by leveraging previously acquired knowledge from...

Urbanism in third world and developing countries compared to that of developed countries has been increased with much more speed. From consequences of the population increase and accelerated growth of population in cities, reference can be lead to many problems such as increase of unemployment rate, housing problems, social anomalies, increase in crime and delinquency. Vandalism in public space...