For instance, though a headline like "Red Sox Urged to Risk Passing on Alex Bregman in Favor of 427 Million Superstar" looks ordinary enough--and it seems, at first glance, to come from BBC Sports. But on closer inspection you may be on a knock-off called "BBCSportss," and the copy is lifted from Sports Illustrated. Elsewhere on that site you'll also find stories that aren't stolen directly from another writer, but instead read like a garbled remix of what other sports bloggers have written, and appear to be AI-generated. DoubleVerify, a software platform tracking online ads and media analytics, recently conducted an analysis of a collection of over 200 websites filled with a mixture of seemingly AI-generated content and snippets of news articles cribbed from actual media outlets. According to the analysis, these sites often chose their domain names and designed their websites to mimic those operated by established media brands, including ESPN, NBC, Fox, CBS, and the BBC.

DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV's mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world's largest brands, publishers and digital ad platforms. DV's technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital advertising ecosystem, helping to build a better industry. As a Data Engineer Intern, you will work with DoubleVerify's versatile Engineering and Product teams on mission-critical systems that process billions of real-time transactions a day and solve/address complex challenges with Big-Data processing and analytics at scale.

The backlash that can occur when ads are placed alongside hateful online content is severe enough that some brands are pulling back on online spending and rethinking their digital media strategies. Despite promises that they would do better, platforms like YouTube, Facebook, and others are still struggling with the issue. Brands don't want their ads appearing alongside extremist content and hate speech, but flagging every piece of content that could be considered inappropriate is not an easy task. The challenge has opened the door for a new industry of "authenticators," which use technology to help brands avoid inappropriate content online. Using artificial intelligence and machine learning, these technology providers are usually able to evaluate the quality of an ad impression in real-time and help their brand clients avoid anything that could be considered inappropriate.