Built around your identity and the specific abuse you face, not a generic filter.
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Most automated comment moderation works from a list of banned words. If the word is on the list, the comment is flagged. If it isn't, it goes through. That catches the most explicit abuse. It misses almost everything else.
Racial abuse doesn't always use slurs. Antisemitic abuse arrives framed as political opinion. Misogynistic abuse shows up as commentary on appearance or credibility. Homophobic and transphobic targeting uses dog whistles and coded language that reads as innocuous to a keyword system. The people sending this abuse know exactly how the systems work, and they write to stay just inside the line.
Fendr can understand that a phrase is a dog whistle for a specific community, that a comment is targeted harassment on your account specifically, that context makes something abusive here that wouldn't be somewhere else, because it's built around you, not around a generic content policy.
When you set up Fendr, you tell it who you are: your identity, your background, the communities you belong to, the abuse you typically face, the context of your account. Fendr builds a protection profile specific to you, and that profile shapes how it evaluates every comment.
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