The Power of Context in Advertising
June 9, 2017
How’s it going with those ad-and-query matching algorithms? The Washington Post reports, “For Advertisers, Algorithms Can Lead to Unexpected Exposure on Sites Spewing Hate.” Readers may recall that earlier this year, several prominent companies pulled their advertisements from Google’s AdSense after they found them sharing space with objectionable content. Writers Elizabeth Dwoskin and Craig Timberg cite an investigation by their paper, which found the problem is widespread. (See the article for specifics.) How did we get here? The article explains:
The problem has emerged as Web advertising strategies have evolved. Advertisers sometimes choose to place their ads on particular sites — or avoid sites they dislike — but a growing share of advertising budgets go to what the industry calls ‘programmatic’ buys. These ads are aimed at people whose demographic or consumer profile is receptive to a marketing message, no matter where they browse on the Internet. Algorithms decide where to place ads, based on people’s prior Web usage, across vastly different types of sites.
The technology companies behind ad networks have slowly begun to address the issue, but warn it won’t be easy to solve. They say their algorithms struggle to distinguish between content that is truly offensive and language that is not offensive in context. For example, it can be hard for computers to determine the difference between the use of a racial slur on a white-supremacy site and a website about history.
To further complicate the issue, companies employing these algorithms want nothing to do with becoming “arbiters of speech.” After all, not every case is so simple as a post sporting a blatant slur in the headline; the space between hate speech and thoughtful criticism is more of a gradient than a line. Google. Facebook, et al may not have signed up for this role, but the problem is the direct consequence of the algorithmic ad-placing model. Whether on this issue, the scourge of fake news, or the unwitting promotion of counterfeit goods, tech companies must find ways to correct the wide-spread consequences of their revenue strategies.
Cynthia Murrell, June 9, 2017
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Nice write up on that pair, would you be itnerested in reviewing ours?