kwntm

I really like how you visualized it. What are you using for that specifically?

Periscope is a ton of fun to use, and I've had some wonderful experiences. The problem here is that it will be the first time a lot of people do livestreaming. Coming in and seeing these obscene comments is unsettling and certainly makes it harder to do the next stream. Think of those who might already be targeted for harassment, of voices that might be underrepresented, and make the tool more welcoming for them. This will not make the app unusable for others, rather it makes it a better experience for everyone.

Probably one of the most important things overlooked with the embed is responsiveness. Most embeds have width=100% to fit in the outside container, but FB does not do this. Hopefully they'll adopt it.

You bring up great points!

>1. Using YT as a proxy for overall attention

'Overall' attention is never a claim. This is simply building upon the views data with what is measured around how far people watch in a video.

>2. Advertising isn't a straight line number of attention to sales

There is no mention of sales in the post. It is comparing the price of the superbowl spot with the number of attention minutes. There are many factors which can serve as a measure of success, in this case it is looking at how people are watching the video after the ad spot.

>most CMO's wouldn't take this type of napkin math very seriously

Attention minutes is a fairly powerful measure. Ex. Upworthy uses it to determine which videos are most likely to be shared. The goal here is to show one way it can be used. In practice, it would be used among other measures an agency or company has- as you describe above.

>The only thing that matters when putting forth a Superbowl commercial is that the viewer stood around long enough to figure out who sponsored it

>The Youtube attention statistics are a nice proxy for it but it didn't take into consideration the likelihood that a potential viewer lost interest before they knew what it was 'about'

Great points, and agreed. This is what the attention plot ventures to take into account

>measure the trending of hashtags / mentions / youtube views of the commercial in the days following

This would definitely be useful to see.

TLDR: highest to lowest cost per minute https://superbowl.firebaseapp.com/s/watched/costminute-

The idea here is that if people connected with the video while watching the superbowl, they shared it online. Commercials were uploaded to YouTube by their respective company, and included a hashtag- deliberate pushes to form a conversation online. There are a lot of ways to measure engagement/impact of a commercial, this is one of them.

Check out http://www.gfycat.com/about

I love how smooth this is on mobile, regarding touching and dragging. I've been working on making UIs for simple art projects on mobile browsers and this will be great to learn from. The palette option is fantastic, it's cool to quickly see a drawing with different color renderings. Thanks for sharing!

Are there any posts in particular you're thinking of? This would be a very compelling visualization. Haven't seen posts like this myself, but I imagine if I hang around /r/politics I'll see one.

Wow, that's a great idea for next steps. This is the direction I'd love to take this work- getting into the comments and running an analysis. The comments range in size and some can have subtle humor- I wonder how that would affect the LDA.

That's an awesome idea. A buddy was telling me to create a bot for it too, like if a conversation derails enough and focuses on one of the comments, it would post an image of the network having been derailed. On discovering hot topics- that makes sense- I bet there is a characteristic "engaging" type of network, regardless what exactly the content is.

Haha, ok, I guess it's gotta happen then!

Yea, I thought about this a bit. I've seen HN threads turn nasty when they have several layers of depth. Those kinds of conversations are discouraged too with the delay for response. Either way, you're right- it would be cool to see how those rules (both social and built in) affect the network structure.

Author here, all the code is available on Github if you want to play around with the visualization or have ideas to improve it: https://github.com/whichlight/reddit-network-vis.

Also, you can see a sort of meta discussion here on the /r/dataisbeautiful subreddit: http://www.reddit.com/r/dataisbeautiful/comments/1jqz3f/redd... It's kind of hilarious because people leave threads of comments to create new branches.

What I find most interesting is that you can quickly get an idea of how much conversation is in one of these discussions by the number of nodes that are colored (signifying users who have posted more than once).

I love the browser editor you made. Very easy to get up and running fast. It'll be a useful tool for teaching, and also for small js projects. Fun project- Thanks!

churn - for a recurring service the number of people who leave in a given time period. Also represented as a percentage of total customers at the beginning of the time period. related: leaky bucket.