Twitter was Really Freaking Broken Today


Here's Why Twitter Was So BrokenTwitter was really freaking broken today. Which, well, sucked. Here’s what Mazen Rawashdeh, Twitter’s VP of Engineering, has to say about the outage.

The cause of today’s outage came from within our data centers. Data centers are designed to be redundant: when one system fails (as everything does at one time or another), a parallel system takes over. What was noteworthy about today’s outage was the coincidental failure of two parallel systems at nearly the same time.

And that was that. Rawashdeh apologized earnestly in the blog post, noting that Twitter can’t pin this to the Olympics or an external bug—just two parallel systems coincidentally going down at the same time. [Twitter]

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Friday, July 27th, 2012 digital No Comments

Researchers out faux product review groups with a lot of math and some help from Google


Google sponsors research that outs faux product review groups, calculates 'spamicity' and more

Ever consulted a crowdsourced review for a product or service before committing your hard-earned funds to the cause? Have you wondered how legit the opinions you read really are? Well, it seems that help is on the way to uncover paid opinion spamming and KIRF reviews. Researchers at the University of Illinois at Chicago have released detailed calculations in the report Spotting Fake Reviewer Groups in Consumer Reviews — an effort aided by a Google Faculty Research Award. Exactly how does this work, you ask? Using the GSRank (Group Spam Rank) algorithm, behaviors of both individuals and a group as a whole are used to gather data on the suspected spammers.

Factors such as content similarity, reviewing products early (to be most effective), ratio of the group size to total reviewers and the number of products the group has been in cahoots on are a few bits of data that go into the analysis. The report states, “Experimental results showed that GSRank significantly outperformed the state-of-the-art supervised classification, regression, and learning to rank algorithms.” Here’s to hoping this research gets wrapped into a nice software application, but for now, review mods may want to brush up on their advanced math skills. If you’re curious about the full explanation, hit the source link for the full-text PDF.

Researchers out faux product review groups with a lot of ! math and some help from Google originally appeared on Engadget on Tue, 17 Apr 2012 19:49:00 EDT. Please see our terms for use of feeds.

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Tuesday, April 17th, 2012 news No Comments

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