Organizations that leverage the following 10 content moderation tools can protect their user community, save time and money, and vastly reduce the manual workload of human moderators:
- Text, Image, and Video Moderation – The solution should filter and moderate text, images, and video, as well as verify that approval policies are being enforced by the moderation team.
- Machine Learning Models - Models that can contextually analyze text and rate it on multiple vectors (toxicity, attacks, etc) so that you have more information on a piece of content and/or user.
- User Flagging – Users should be able to report images they deem inappropriate, resulting in content removal or content moderation.
- Username Filtering – Advanced language analysis and more aggressive rules should ensure that only appropriate names are allowed.
- Blacklist Filtering – Natural language processing and proprietary algorithms can be used to determine if text contains blacklisted words or phrases.
- PII Filtering – Email and phone number filters, PII filters, and personal health information filters (PHI filters) can be implemented to protect users.
- Chat and Commenting Filtering – Filtering can keep communication productive in community chats, customer communications, HIPAA communications, gaming and mobile app communications, forums and reviews, kid-focused communities, in-venue digital displays, and organic user-generated content.
- URL Filtering – An advanced filtering capability can limit users’ ability to include URLs in their communication to avoid spamming.
- Profile Picture Filtering – The platform should allow moderation of inappropriate and offensive images used in profile pictures and other visible user account information.
- Filter Bypass Prevention – Implementation of the latest filtering techniques should keep false positives to a minimum and prevent users from bypassing filters.
And a bonus:
- Kid’s Chat Filtering – For more sensitive children and family focused communities, filters can be used to allow only acceptable words and phrases and reject any words not included in the whitelist.