In many countries around the world access to online information is strictly regulated. The news is a large part of our everyday lives. News media brings social, economic, political, and all other issues to the forefront to facilitate discussions about these topics. Some of these topics may be considered controversial in that they spark debate among those with firm opposing beliefs. It is also important to know what kind of sentiment these topics emote for people. This can help determine if an article is controversial through the positive or negative words that occur in it. By studying the sentiment and controversiality of articles, we can better understand how news is censored and how news sources and people in general use language to share and promote certain ideas. In this paper, we perform a statistical analysis of sentiment and controversiality.
@InProceedings{LEBERKNIGHT18.9, author = {Chris Leberknight ,Kateryna Kaplun and Anna Feldman}, title = {A Comparison of Lexicons for Detecting Controversy }, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Octavian Popescu and Carlo Strapparava}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-11-5}, language = {english} }
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