People like me features are one of the most promising ways to help people find content that is interesting to them.

Jason Kottke points to a study in which researchers found evidence that the brain reacts differently to people who seem like us.

This isn’t surprising, of course. We do tend to react differently when we feel like we’re around a like-minded person.

But how can this help inform design?

Continue Reading: The Importance of “People like Me” features

Bill Cammack over at the Fast Company blog makes an interesting assertion:

“While I agree that (social media) CAN…(make us more social) How often *DOES* social media lead to actual social interaction, for YOU? …I became less social instead of more social because of the fact that my friends are always at my fingertips. For the sake of this post, I’m defining “social” as actually going somewhere to hang out with friends of mine, IRL. (In Real Life)”

Bill says that because people are always a click away, he actually has become less social (face-to-face).

I’m interested to know if others feel this same way: has social interaction through software had the same effect on you?

And, if so, has the increased social interaction through software been for the better, or for the worse?

Continue Reading: Does social software make us less social?

You’ve probably heard the term “stream” in relation to attention, as in “attention stream”.

The usage of the word is spreading, however, and is now finding its way into web application vernacular. It is called a “lifestream”, “socialstream”, “friendstream”, “contentstream”, among others.

It has come to mean a list of the always-updated items in a system. Here are a few examples:

• Twitter
  The stream in Twitter is the list of latest sms messages from your friends
• Facebook News Feed
  This stream has lots of different types of items, made up of activities like adding friends, joining groups, and adding applications
• RSS readers
  Your RSS reader displays a stream of the latest posts from the blogs you subscribe to
• Del.icio.us Links
  Your list of links submitted to Del.icio.us is a linkstream
• Digg Spy
  The latest items added or dugg in digg

It should be apparent that almost any items updated in real-time can constitute a stream. And therefore a stream can be used in almost any application that people use. The question is: is it useful to see a list of what you’ve done or what you’re friends are doing? In many cases, it is at least interesting, if not useful.

Continue Reading: Welcome to the Stream

This is part I of a series on Common Pitfalls of Building Social Web Applications.

In the last several years we’ve seen the rise and fall of many social web applications. While most of our attention gets paid to the hugely successful ones like YouTube and Facebook, we can also learn a lot from those that have failed. Here are some of the common pitfalls that lead to failure when building social web applications.

1) Underestimating The Cold Start Problem

If you build and release your social web site and nobody uses it, you have the cold start problem. This problem affects most social sites, and directly results from designing for the network. The effect of the network is that nodes on the network (web sites) have attention momentum. We pay attention to certain nodes (sites) already, and so if you’re trying to add one to the network then you have to build your own attention momentum over time. This is not easy.

Too often, though, this hurdle is underestimated. The first step is to admit there’s a problem. Say “This is not working. Our early users are not using the site how we want them to”. You would be surprised at how often this doesn’t happen. Instead, what often happens is that more money is pushed into features or marketing, which is precisely the wrong move…

Continue Reading: Common Pitfalls of Building Social Web Applications and How to Avoid Them

From Brands for the Chattering Masses (NYT - link works right now but may go behind pay wall at any moment)
“FOR many, many decades, successful branding — one of the corporate world’s holy grails — involved a clear set of rules. Produce quality goods at the right price. Frame the value in memorable messages seen [...]

Continue Reading: Blogs enable more than they begin

In his plenary at UI11, Barry Schwartz, the author of The Paradox of Choice, made an interesting remark about how people make choices:

“People choose not on the basis of what’s most important, but on what’s easiest to evaluate”.

In other words, many times we don’t choose what’s best for us, we take the easy way out. This behavior is often called laziness, but I think it’s more than that. As Schwartz pointed out, we simply don’t have time for diligent research on all the choices we make. Most of the time, however, we imagine people making informed decisions. We imagine that if the information is there, then they’ll take advantage of it, consider it, and choose wisely.

Continue Reading: The Paradox of Choice: What’s Easiest

This past week’s Digg controversy is one in a growing number of incidents that suggest that a small group of users are having an undue influence on the promotion of stories. In response, Digg is changing the way that it handles votes by adding complexity to its ranking algorithm. I think that’s the wrong approach, so here’s another idea: change the actual design of the site…that’s the real problem.

The most recent controversy happened on September 5th, when someone named jesusphreak posted Digg the Rigged?, an in-depth article exposing some of the curious details of recently-popular stories on digg. Many of the stories, jp pointed out, were dugg by members of the Digg Top 30, or the 30 most popular digg members (popular being measured by number of stories submitted that were promoted to the frontpage). The Top 30 includes Digg founder Kevin Rose.

This was not the first time that someone has pointed out this phenomenon. On April 18 of this year Macgyver at ForeverGeek posted Digg Army, which included screenshots of who dugg two recent articles on the site. Each article had the exact same 16 people digging it in the exact same order. Of the first 19, 18 were the same. Included in that list of people was, again, Kevin Rose. ( for an in-depth history see Tony Hung’s excellent: A Brief History of the Digg Controversy)

These incidents, taken together, are more than coincidence…

Continue Reading: Digg’s Design Dilemma

So yesterday we were talking about the problem that people in social networks have: when you’re active in social networks you are less active outside of them. You become immersed in them, so that when you’re in MySpace the people outside of MySpace get less of your Attention. If all of your friends are in MySpace, then that’s where you hang out. I told the story of a guy I met who actually signed up on MySpace so that his daughter would receive his messages.

In the comments Cori Schlegel made the seemingly innocuous suggestion that we need a messaging proxy. Send a message to the proxy, and you get it on all of your devices or services that talk to your proxy.

This is a great idea! And the more that I thought about it, the more I realized that it is a perfect extension of an idea that I wrote about last year: domain as identity. (a post which, coincidentally enough, Cori commented on).

Here’s how it would work, as far as I understand it…

Continue Reading: A Messaging Proxy and Domain as Identity

Perhaps you’ve heard of Attention with a capital A? It’s the notion that in an increasingly content-packed world made up of TV, radio, newspapers, web sites, podcasts, RSS feeds, and email that we could, in theory, record everything we pay attention to and then it would be worth something or provide us value in some way. Following this idea we should be in control of it instead of advertisers who pay ever more money to learn as much as they can about us, even without our knowledge. Attention is flipping that model on its head. We know about us, pay us for that information and you can advertise to us.

But it’s not just about advertising. It’s also about what I’m really interested in: recommendation systems. Basically, recommendation systems are systems that record what we pay attention to in order to provide recommendations to us. Think Amazon.com recommending books to us based on our past purchases and Last.fm recommending music to us based on our listening habits. Those are great examples of specialized attention recorders that record only a sliver of what we pay attention to. (an important sliver, but a small one nonetheless)

Continue Reading: Find the Edge of Attention

The amazing popularity of the bookmarking site Del.icio.us is one of the hallmarks of the current social software renaissance happening on the Web. Along with Flickr, Del.icio.us is a poster child of tagging, a simple feature whereby people attach words or phrases to an item. In the case of Del.icio.us, those items are bookmarks.

While Del.icio.us rose to prominence, much was made of the ability to aggregate the tags that the service’s user population created. The resulting framework, called a folksonomy, promised to redefine web navigation. If users could tag their own bookmarks and navigate to them through a direct tag-based interface, then there was really no need for an overarching, expert-developed taxonomy. In addition, if Del.icio.us could aggregate the bookmarks over all users, they could come up with a folksonomy for everybody, based on how the total population actually valued and referred to the content.

One of the hardest problems in web design is to speak the user’s language. With folksonomies and tagging, the web site could be designed with, and evolved by, the user’s own words. Unfortunately, somewhere along the line the vast majority of excited technologists (including me) forgot the original reason why people use and enjoy Del.icio.us. I call this reason the Del.icio.us Lesson, and I first posted about it last December in Learning more about Structured Blogging. Since then, that post has become the most referenced post on Bokardo. This post is an attempt to further illustrate the Del.icio.us Lesson.

Continue Reading: The Del.icio.us Lesson