Identifying Biases in Politically Biased Wikis through Word Embeddings

  title={Identifying Biases in Politically Biased Wikis through Word Embeddings},
  author={Markus Knoche and Radomir Popovic and Florian Lemmerich and M. Strohmaier},
  journal={Proceedings of the 30th ACM Conference on Hypertext and Social Media},
  • Markus Knoche, Radomir Popovic, +1 author M. Strohmaier
  • Published 2019
  • Computer Science
  • Proceedings of the 30th ACM Conference on Hypertext and Social Media
  • With the increase of biased information available online, the importance of analysis and detection of such content has also significantly risen. In this paper, we aim to quantify different kinds of social biases using word embeddings. Towards this goal we train such embeddings on two politically biased MediaWiki instances, namely RationalWiki and Conservapedia. Additionally we included Wikipedia as an online encyclopedia, which is accepted by the general public. Utilizing and combining state-of… CONTINUE READING
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