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That first search in 2009 launched a years-long research process, following offenses and “fixes” through 2016. I had to search on. Information monopolies such as Google have the ability to prioritize web search results on the basis of a variety of topics, such as promoting their own business interests over those of competitors or smaller companies that are less profitable advertising clients than larger multinational corporations are. In this case, the clicks of users, coupled with the commercial processes that allow paid advertising to be prioritized in search results, mean that representations of women are ranked on a search engine page in ways that underscore women’s historical and contemporary lack of status in society — a direct mapping of old media traditions into new media architecture. What each search represents is Google’s algorithmic conceptualizations of a variety of people and ideas. Whether looking for autosuggestions or “answers” to various questions or looking for notions about what is beautiful or what a professor may look like (which does not account for people who look like me who are part of the professoriate — so much for “personalization”), Google’s dominant narratives reflect the kinds of hegemonic frameworks and notions that are often resisted by women and people of color. We must interrogate what advertising companies serve up as credible information, rather than have a public instantly gratified with stereotypes in three-hundredths of a second or less. Google Images results when searching the phrase “professor style” while logged in as Safiya Noble, September 15, 2015. In the case of that first page of results on “black girls,” I clicked on the link for both the top search result (unpaid) and the first paid result, which is reflected in the right-hand sidebar, where advertisers that are willing and able to spend money through Google AdWords have their content appear in relationship to these search queries. Advertising in relationship to black girls for many years has been hypersexualized and pornographic, even if it purports to be just about dating or social in nature. (Google didn’t block explicit content from AdWords until 2014.) Published text on the web can have a plethora of meanings, so in my analysis of all of these results, I have focused on the implicit and explicit messages about black women and girls in both the texts of results or hits and the paid ads that accompany them.
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In Manhattan, there was a 70-percent, 47-percent, and 20-percent median hit rate when the distances were 1,600 feet, 3,200 feet, and 6,500 feet, respectively. The researchers’ algorithm identified a potentially dangerous wrong-way victim route for 599 of the 600 taxi trips. While the proof-of-concept attack is attention-grabbing, a variety of things significantly limit its effectiveness in the real world. First, the attack requires the physical spoofer be in close proximity to the navigation device, and second, it works best when attackers have a general idea of the targeted vehicle’s intended destination. That means attacks aren’t likely to work in large numbers. Rather, the attacks are likely only practical for targeting a specific individual who is in close range. Other limitations: the attacks aren’t nearly as successful in rural or suburban areas or against people who are familiar with the area in which they’re traveling. The takeaway of all of this: the vast majority of readers shouldn’t worry about falling prey to these types of exploits. Still, with billions of people already using navigation services and the projected growth of autonomous automobiles, engineers and security professionals would do well to heed the findings. The researchers outline a variety of countermeasures. The most effective is to give civilian GPS signals the same type of encryption military GPS has used for decades.