update

README.md

@@ -13,6 +13,10 @@ This model was trained on 4k tweets, where ~50% were labeled as antisemitic. I l
 
 *Note:*
 
+Please keep in mind that I'm not an expert on antisemitism or hatespeech.
+
+Whether something is antisemitic or not depends on the context, as for any hate speech, and everyone has a different definition for what is hate speech.
+
 If you would like to collaborate on antisemitism detection, please feel free to contact me at starosta@alumni.stanford.edu
 
 This model is not ready for production, it needs more evaluation and more training data.