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Bookmark or Share- How AI Is Learning to Identify Toxic Online ContentOne solution might be AI: developing algorithms to detect and alert us to toxic and inflammatory comments and flag them for removal. But such systems face big challenges. The prevalence of hateful...
- Detection and moderation of detrimental content on social media ...With an overflowing increase in detrimental content on social media platforms, the current manual method to identify such content will never be enough. Manual and semi-automated moderation methods have reported limited success.
- Trusted Information and Content - Google Safety CenterTo keep people safe from abusive content, we use protections powered by machine learning. Gmail automatically blocks nearly 10 million spam emails from inboxes every minute, and Search has tools to prevent Autocomplete from suggesting potentially harmful queries.
- How X handles abuse and harassment | X HelpLearn how we define and prohibit abusive behavior and harassment, our rationale and consideration of context, and what actions we may take.
- Online violence - Amnesty InternationalOnline harassment or cyberbullying: Using online platforms to intimidate, threaten, cause distress, silence and target women, girls and LGBTI people using abusive comments or images over a short or coordinated period of time.
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