HOW IT WORKS
How Content Score can help
How Content Score Works?
Tools and integration
1. Risk identification & classification
2. Customer API
By our API integration, you can submit a content item, text or URLs, to retrieve the scores and submit individual feedback.
3. Brand Safety Integration
In order to build algorithms that are capable of classifying content in subtle, nuanced ways, we collect high quality, detailed annotations from experts in each subject.
What Content we can detect
We have 19 models currently running to detect harmful content:
To identify prolonged public disagreement or heated discussion, usually concerning a matter of conflicting opinion or point of view.
To identify misleading, low-quality content, deliberately written to sound authentic and truthful, based on different linguistic cues.
To identify content with extremely biased language that is hyperpartisan in nature or pushing a certain agenda very aggressively towards one entity, person or viewpoint.
To identify the use of humour and exaggeration used to provide an alternate commentary on a person, event, organisation usually as a ridicule.
To identify the use of words usually used to either mock or annoy someone, or for humorous purposes. Sarcasm may employ ambivalence, although it is not necessarily ironic.
To identify opinionated content, where the writer talks about a topic with little to no factual language often based on the individual prejudices and experiences.
To identify the sentiment towards something, especially expressed in a publicly stated opinion.
To identify the overall binary sentiment of content (positive or negative), predicted confidence scores can be used as a proxy for neutral sentiment.
To identify and recognise types of feelings through the expression of texts, We adapt Robert Plutchik 8-class-wheel, suggesting 8 primary emotions grouped on a positive or negative basis: joy vs sadness; anger vs fear; trust vs disgust; and surprise vs anticipation.
To identify article headlines which at the expense of being informative, are designed to entice readers into clicking the accompanying link.
To identify unsolicited messages to large numbers of recipients for the purpose of commercial or non-commercial advertising, or for any prohibited purpose (e.g. phishing).
To identify hateful or toxic language targeting an individual of particular ethnicity, religion, demographic identity
To identify scornful or abusive remarks directed towards an individual or entity.
To identify demeaning and abusive language based on people’s group identity, with focus on gender and stereotypes.
To identify direct expressions of a wish or intention for pain, injury, or violence against an individual or group.
To identify direct expressions of a wish or intention for pain, injury, or violence against an individual or group.
To identify insults, threats and attacks on any individual or group with the purpose of humiliating, degrading or excluding that person or group.
To identify use of abusive words and graphic language.
To identify both targeted and untargeted, harmful and toxic language in general (racist, sexist, hate speech, obscenity, insult, etc).
