How do we define brand suitability compared to brand safety?
How we differ from YouTube - they only run on their own network?
-- Primary distinction is that we are an independent ad tech provider, while they are operating as a 1st party platform. Another important distinction here is that the scope of YouTube's content-level accreditation is limited to Brand Safety, while Verity's content-level accreditation covers Brand Safety, Brand Suitability, and Contextual Analysis.
"Property" = text only?
-- Yes, property level distinction only requires a consideration of text elements. Content-level requires consideration of text, imagery, audio, video.
Enhanced Brand Safety Guidelines - beyond just text? When was this implemented?
-- The Enhanced Brand Safety Guidelines (supplement to the Ad Verification Guidelines) were published by the MRC in 2018. They were influenced as a direct response to Brand Safety violations that were identified on YouTube in 2017. Here is an article that chronicles some of these issues.
How many humans are feeding our machine with data?
-- Hard to put an exact static number on this, as we always have data collection and data labeling jobs running at any given time, each of which may have differing requirements. In terms of model development and QA, we have a full-time in-house team of data scientists with specializations in computer vision (image sciences) and natural language processing (linguistics). For data collection and annotations, we leverage both a dedicated in-house team and a globally distributed workforce of human annotators for our data labeling practices.
Link to description of methodology