Mashable: Algorithms control your online life. Here’s how to reduce their influence.. “The world in 2020 has been given plenty of reasons to be wary of algorithms. Depending on the result of the U.S. presidential election, it may give us one more. Either way, it’s high time we questioned the impact of these high-tech data-driven calculations, which increasingly determine who or what we see (and what we don’t) online.”
Fast Co Design: How MIT Students Fooled A Google Algorithm. “Machine learning algorithms, which use large amounts of data to power everything from your email to language translation, are being heralded as the next big thing in technology. The only problem is, they’re vulnerable.”
Oh good grief, is Snapchat going to go to an algorithmic timeline too? Boo hiss! “Many publishers and brands are earmarking resources for Snapchat, the platform of the moment for reaching a large, young and active audience. Users currently see all the messages from accounts they follow in chronological order, but with an algorithm, Snapchat would act as curator of content from publishers and, especially, brands, according to sources.”
Bing predicted the outcome of the NBA finals. Back in April. “Bing had the Warriors down to beat the Atlanta Hawks in five games, but the Cavaliers earned their shot at the Championship by dismissing the Hawks in four. The Warriors’ side of the bracket proved to be slightly easier to predict, with Bing only failing to foresee the Houston Rockets’ hard-fought victory over the LA Clippers.” Bing is getting a little scary.
Researchers at the University of Toronto want to use Instagram to help you dress more fashionably. “The researchers mined data from chictopia.com, a social website where users share photos of their outfits. Using the site’s 144,169 posts, the team was able to amass highly detailed statistics for each user, their photo and the fashion it features, along with the comments and response it received from the rest of the Chictopia community. This Fashion144k Dataset, as it’s called, revealed certain correlations and patterns between aspects of a post and the interest it generated, which information the smart folks in Toronto then crunched and coded into their intricate (and seriously brilliant) fashionability-predicting algorithm.” There is no hope for me, but I sure hope Skellie knows about this..