YouTube is the premier destination for video consumption, trafficking over 5B unique visitors everyday! But, it’s a sobering fact that both informative and dangerously amateur content vie for viewers’ attention.
Channel Factory deploys a multi-prong strategy of highly-aggressive and dynamic brand safety features that constantly evolves to proactively mitigate brand safety risks for our clients.
In a evolving video space with hundred hours of UGC uploads, our rapidly growing placement of white and blacklist accounts for current events and breaking news. When unexpected crises emerge, our brand safety strategy counter content risks and ensures our clients’ messaging 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).
Minimum Views Threshold
Continued incorporation of our 10K minimum benchmark view per video filtering* to further ensure content quality, safety, and performance.
While we can flag the majority of brand safety issues, the final touch is human interpretation as sarcasm and such is unintelligible to A.I. machine learning.
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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