![]() 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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