See the guidelines below for more details. (although most of the data is about the first group). This extension is focused on anti-trans (including anti-nonbinary) sentiment, of all flavors: Which criteria is used to determine the label? No, the check is done offline, on your computer. The initial version has been created through a mix of manual labeling and machine learning,īut you can contribute with your own labels.ĭoes it submit the list of pages that appear on my screen? This extension supports Facebook, Twitter, Reddit, Tumblr, Medium, YouTube, Wikipedia articles, search engine results and all the sites with Disqus comments. This extension will color known trans-friendly (green) and anti-trans (red) users/pages differently. Whenever you visit a social network or a comments section,
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