Internet/tech Archive:

2 in 5 Americans use TikTok as a search engine.

Nearly 1 in 10 Gen Zers are more likely to rely on TikTok than Google as a search engine.

More than half of business owners (54%) use TikTok to promote their business, posting an average of 9 times per month.

1 in 4 small business owners use TikTok influencers for product sales or promotions.

Source: Adobe

  • Comments Off on TikTok’s search evolution

How tech and culture evolve together.

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A real example of how the death of net neutrality will impact your internet experience.

Since Netflix gave into Comcast’s demands for payment in exchange for a promise to deliver movies smoothly over the Internet to Netflix’s customers, speeds on Comcast for Netflix users have rocketed upward. Speeds on the larger service providers have been decreasing steadilysince last fall, but following the deal, Comcast restored all the speed that Netflix had lost and much more in the space of a couple of months.

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Based on an analysis of 4,191,533 flights and 1.3 billion air fares, “in 2013 the best time to buy a domestic airline ticket was 54 days in advance, or 7 1/2 weeks on average.” Check out the related article for other insights.

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Facebook analyzed peoples online interactions zeroed around relationship status events. It turns out (not surprisingly I suppose) that relationship changes track closely with online interactions.

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and what kind of posts they are interacting with:

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Here’s what a breakup looks like:

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Some interesting charts about failed start ups.

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See where denial of service attacks are occurring based on hourly data. Shows flows as well as relevant news stories. You can scroll along the timeline to view different dates.

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Interesting analysis of the composition of Reddit content. Randy Olson has a great blog post about how the chart was created.

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Beautiful annotated animation of how gas engines work. Check out the full size version by Jacob O’Neal.

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MIT has a fun toy which let’s you conduct network analysis of your gmail emails. There’s a thread over at Slashdot that discusses how this analysis of meta data is similar to the Snowden revealed PRISM project.

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A trip down time-wasting memory lane.

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How does Google shape its brand through design? Check out their “Visual Assets Guidelines“. It’s all very similar to the flat design movement, but the level of detail is fascinating.

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A wonderful interactive timeline of legislation, rulings, and events related to domestic surveillance in the United States. You can drill down into each event for an explanation, and links to primary sources (like the full text of legislation, etc).

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With the conference release of iOS 7 yesterday, there is much talk about it’s “flat design”. What is flat design? Designmodo has a nice article explaining the basics.

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While I generally love flat design concepts, Apple really choked on some of the implementation – particularly the icon designs. Check out photos, newstand, game center, and settings below. Barf. They are the way too cluttered busy and abstract – the exact opposite of what they should be.

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This has been making the rounds. Based on 150,000 geocoded tweets from June 2012 to April 2013, filtered 1st by use of word, and then manually whether it was used in a negative or derogatory fashion.

Obviously this suffers from selection bias as it only includes people who bother to tweet, and those who aren’t ashamed to do it publicly. There’s also the usual population density distortion (last map below), which would be compounded by cell phone coverage out west. So, basically, this is another pretty visualization of social media meta data that doesn’t really mean much of anything. To be honest I’m surprised they only found 150,000 hateful tweets in 11 months. (The author’s FAQ is an interest read)

Homophobia:
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Racist:
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Disability:
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