Emojis

nima allows you to automatically detect harmful emojis using powerful ai detection providers emoji moderation is handled exactly like text moderation, as the ai detection providers are trained to recognize and evaluate the context and intent behind emoji usage and combinations example payload { "priority" "severe", "channel" "automated detection", "reason for request" "content moderated using ai", "customerspecific" { }, "content" { "content id" "3424234234234234234", "title" "this content contains swastika emoji", "url" "qweq", "body" "卐", "rawtext" "卐", "language" "en", "token" "", "type" { "id" "txt" }, "status" "published", "customerspecific" { "service id" "qwe" } }, "reporter" { "id" "dwedwedwed324234", "name" "reporter james", "phonenumber" "070 123456", "emailaddress" "test\@tremau com", "customerspecific" {} }, "reportee" { "id" "dwefwe423234", "name" "reportee john", "phonenumber" "070 564123", "emailaddress" "reportee\@tremau net", "customerspecific" {} }, "location" { "city" "stockholm", "postalcode" "111 57", "region" "stockholm", "countrycode" "se", "ipaddress" "192 168 0 1", "customerspecific" {} }, "label" \[ "nudity" ] } request payload requirements for emoji moderation, use the same request payload structure as text moderation attribute required description content type id yes must be set to "txt" content rawtext yes the emoji or text containing emojis to be moderated content language yes iso language code in lowercase (en, fr) content url no do not pass content url when using emoji moderation for all other payload parameters, please refer to the proactive detection docid\ fhlq7h pq8ibh7ocl2dza documentation configuring detection rules to create a rule for automated emoji detection, navigate to admin settings > workflow configuration and define the following conditions required conditions channel must be set to "proactive detection" content type must be set to "text" once these conditions are set, the list of available ai detection providers will be accessible via the choose provider button emoji specific features detection capabilities nima utilizes ai detection providers trained to identify both individual emojis and sequences of emojis that are commonly used to represent harmful or prohibited content moderation console once the payload is processed by the ai detection provider, the resulting case in the moderation console provides full context on the detection, including the policy applied and the confidence score