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A useful feature to facilitate critical literacy would alert users when they are reading a controversial web page. This requires solving a binary classification problem: does a given web page discuss a controversial topic? We explore the feasibility of solving the problem by treating it as supervised k-nearest-neighbor classification. Our approach (1) maps a webpage to a set of neighboring Wikipedia articles which were labeled on a controversiality metric; (2) coalesces those labels into andoi:10.1145/2505515.2507877 dblp:conf/cikm/Dori-HacohenA13 fatcat:wkyozwhmmze4toacukiavrjxqm