March 2024

DoubleVerify

Since DoubleVerify (DV) pioneered verification in 2008, the company has continued leading the way with innovative – and increasingly sophisticated – solutions. But solutions on their own are not enough. DV also supports brands and advertisers with understanding how to strike the right balance between protection and scale. 

One example of how DV helps advertisers do just this is DV’s ‘Inflammatory Politics & News’ Category, which first launched in 2016. The ‘Inflammatory Politics & News’ Category content category allows advertisers to avoid content that includes news or political content associated with or exhibiting inflammatory points of view; potentially fake, unreliable or unsubstantiated information; significant political intolerance, hateful or threatening rhetoric; or other significantly controversial elements.

 

DoubleVerify (DV) is fully committed to making a stronger, safer and more secure ad ecosystem for all. And we believe in the value of trusted news content and encourage all brands to advertise across trusted news sites as broadly as possible (unless there is a direct connection between a news incident and their brand). It is, therefore, critical to provide our clients with the tools to support trusted news content and quality journalism whilst also protecting brand equity.

 

DV’s “Inflammatory Politics and News” is powered by a combination of scalable AI solutions (including DV’s Universal Content Intelligence engine and with partners such as Storyzy) and manual classification by DV’s internal subject matter experts.

DV’s internal teams are constantly monitoring evolving narratives and new sites, as well as information from specialist technological, research and global fact-checking partners. This combination of partners and DV’s Universal Content Intelligence, the company’s AI powered classification engine and internal subject matter experts ensure our classifications are scalable, accurate and evolving along with the fast-moving news cycle, online behaviours and client sensitivities.

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