Warns you about untrustworthy sites
Tells you whether a news article is particularly polarized. In a world of confused media, this app makes it easier to angle your consumption towards a more neutral perspective.
Changes the article title's color according to the how polarized the article is, based on a ratio (refer to the legend in the extension's page) and gives you a count of the number of polarizing words on the page.
News sites currently supported:
- New York Times
- Wall Street Journal
- Fox News
- Huffington Post
- Washington Post
- LA Times
- ABC News
- USA Today
- NBC News
- Daily Mail
- The Guardian
- India Times
- New York Post
- CBS News
- ABC News
- Denver Post
Dataset of polarizing matchers taken from the following papers:
Minqing Hu and Bing Liu. "Mining and Summarizing Customer Reviews."
Proceedings of the ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle,
Bing Liu, Minqing Hu and Junsheng Cheng. "Opinion Observer: Analyzing
and Comparing Opinions on the Web." Proceedings of the 14th
International World Wide Web conference (WWW-2005), May 10-14,
2005, Chiba, Japan.