YouTube is the premier destination for video consumption, with over 2B unique visitors everyday! But, it’s a sobering fact that malicious actors and inappropriate content are chasing viewers in increasingly cunning ways.
Channel Factory deploys a multi-pronged strategy of highly-aggressive and dynamic brand safety features that constantly evolve to proactively mitigate brand safety risks for our clients.
In an evolving video space with thousands hours of user-generated content uploads, our rapidly growing index of white and blacklists account for current events, sensitive subjects, breaking news, our proactive strategies counter content risks to ensure our campaigns remain brand safe.
PREDICTIVE MACHINE LEARNING
Advanced machine learning provides campaign intelligence and brand safety measures by proactively determining the risk of current and future content, identifying liabilities before they become a problem
Measures the ratio of likes to dislikes, as well as comment sentiment within videos. We work to set our baseline benchmark at 85% positive sentiment (to account for critics and news events).
Continued incorporation of our 10K minimum benchmark view per video filtering* to further ensure content quality, safety, and performance.
While our proprietary algorithms can flag the majority of brand safety issues, sarcasm and other behavioral nuances are still unintelligible to AI. Our team manually reviews content to guarantee brand safety.
VIRAL CONTENT FLAGGING
IQ indicates any videos that are gaining great engagement, enabling us to proactively blacklist high risk content immediately (day of) and detect similar at-risk content & associated keywords.
CONTENT AUDIO & IMAGE FILTERING
Transcribing technology for audio & image content. IQ translates the text to determine the content’s risk; blacklisting the video if any keywords related to profanity, sexual content, racism, etc.
Watch: Our CEO, Tony Chen discuss YouTube Brand Safety on NBR
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