Weekly Recap 062708: The FriendFeed Immigration Continues

Twitter’s replies tab has been disabled most of this week, causing a fair amount of consternation…without Replies, it’s hard to maintain asynchronous conversations, or even synchronous ones if you’re conversing with 10,000+ people…

So a few more of the bigger technorati are discovering the merits of FriendFeed…

Michael Arrington: “Friendfeed for most users was just a place to bookmarks all their activities on other social networks. Now, more and more, it’s a place that people start conversations. The early adopters got that a while ago. Now, the not so early adopters are using it as a Twitter replacement, too.”

Dave Winer: “I’m steering people to FriendFeed, can’t help it. My discussions are happening there. And bonus: It pisses off Steve Gillmor. :-)”

Shel Israel: “Really tired of Replies being broken here. Spending more time in FF, but still subscribing only to close friends over there.”

Steve Gillmor: “friendfeed is getting very close to being usable”

Chris Saad: “So is the idea we use friendfeed instead of Twitter? Does that actually work?”

Not bad at all…but we’ll see how long it lasts…collectively, the last four (excluding Arrington) have 18,670 followers, which is hard to match any time soon on FriendFeed…as Corvida noted:

when you get out of one relationship that you’ve put so much time and effort into, do you really feel like going out there, just to find a replacement to try to rebuild what you had with someone else?

Once Twitter rights its ship (in several months), we’ll see how many of the Twitter refugees stick around on FriendFeed…

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Have you heard of the Persian Cam Room on FriendFeed? Join it! Amazing pictures can be found there.

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Amazing pictures can be found there.

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I often see complaints on FriendFeed about too much FriendFeed talk…to which I say, that’s why they provide the Hide function…

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Facebook has added FriendFeed-like functionality, allowing comments on the activity streams of your friends…I’m trying it out a bit, here are a few initial impressions:

  • It’s hard to comment on someone adding the “Hug Me” application
  • Status updates are easier content on which to comments
  • You really get used to the speed with which commenting and accessing new content occurs. Facebook is so painfully slow in comparison
  • I was pleased with the comments I got back after I did my first round of comments. Will continue to play with it.

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Finally, I wanted to note the moves of several solo bloggers into the “big time”

Interestingly enough, Frederic had just the prior week written a post in which he noted:

It’s close to impossible for a solo blogger to make a living in the tech blogosphere.

Now he’s part of the big time…congrats to all!

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Weekly+Recap+062708%3A+The+FriendFeed+Immigration+Continues%22&public=1

What’s Your Blogging Style? Use FriendFeed Likes/Comments Ratio to Find Out

Julian Baldwin asked a question today on FriendFeed: “Roughly speaking, what is your comment to like ratio here on FriendFeed?” Based on the responses, a  lot of folks are doing more commenting than liking, but I suspect the responses aren’t totally representative. Still you can see a lot of emphasis on commenting.

Which made me wonder about turning this around a bit. Instead of looking at each person’s ratio of Likes to Comments, what could be gleaned from figuring that ratio out for a blog?

I selected several blogs, and totaled the number of Likes and the number of Comments for the last 30 posts of each blog. I then calculated the ratio of Likes to Comments, and mapped the bloggers to roughly one of four blogging styles:

  • Stir it up
  • Can we talk?
  • Observing the scene
  • Stuff you want to know

There are some adjustments and limitations related to this; they follow below. But first, the map of bloggers to blogging styles. To reiterate, the ratios you see below are calculated this way:

# Likes / # Comments = blogging style

So for instance, Dave Winer’s ratio is actually below 1.0. He gets more Comments than Likes. Here’s the map:

As I put this together, the analysis does seem to ring true from my perspective.

Here are the adjustments and limitations:

  • Some bloggers are really active at responding to comments on FriendFeed. This tended to drive their number of Comments up. For instance, Alexander van Elsas could put on a clinic in terms of engaging commenters on FriendFeed. I should be so good. So I gave the number of Comments a haircut for several bloggers.
    • Alexander van Elsas – 33% haircut
    • Myself – 25%
    • Mark Dykeman – 25%
    • J. Phil – 25%
    • Colin Walker – 25%
  • The analysis only applies to the main blog for each person (listed below)
    • No Toluu activity updates
    • No Qik videos
    • No side blogs that augment the main one
    • Etc.
  • Only the blogger’s own feed was used in this analysis. This is imperfect, as it does not include Likes and Comments for other ways thr blog post gets into FriendFeed:Google Reader shares, tweets, direct posts, del.icio.us, etc.
  • Some great new bloggers aren’t here, as they build out their blogs with posts.
  • The 30 blog posts per author only included entries with at least 1 Like or Comment.

And quickly, here are the links to the blogs used in the analysis:

What do you think? Does the Likes/Comments Ratio make sense as a blog style indicator?

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See this item on FriendFeed: http://friendfeed.com/search?q=%22What%E2%80%99s+Your+Blogging+Style%3F+Use+FriendFeed+Likes%2FComments+Ratio+to+Find+Out%22&public=1

Weekly Recap 062008: Baby I’m-a Want You

Babies sure can take a long time to arrive, can’t they? I don’t want to see an update from Louis until at least an hour after their birth, even longer…first things first…

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Benjamin Golub, creator of RSSmeme, received an email from an irate blogger this week…a couple of her posts had been shared via Google Reader, and ended up on RSSmeme. She wanted them taken down…

I was surprised, as I had only seen links and partial feeds for blogs on RSSmeme…turns out, there was a full feed option…

RSSmeme does run Google ads, but Benjamin’s not getting rich off them…they offset the server costs…

Still, it did set up an issue where the full content of a blog was accessible on a different site, and the site was earning money on the content via ads…

Duncan Riley came out pretty strong in favor of the blogger…partial feeds are fine, as the reader must visit the actual blog to read the whole thing…but full feeds crossed the line…I find myself agreeing with Duncan on this one…

The cool thing about RSSmeme is that it indicates how popular an item was by the number of shares…it also tells you who did the sharing…so if someone’s interested in the full blog post based on (i) its subject; (ii) the number of Reader shares; and (iii) who did the sharing, they will click the link to read the post on the actual blog…full feeds on RSSmeme aren’t needed…

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TechCrunch posts are published under two separate users on FriendFeed, Michael Arrington and Erick Schonfeld…but the action always seems to be around Arrington’s user ID…

Looking at the past ten TechCrunch posts, Arrington’s FriendFeed has 22 Likes and Comments, Schonfeld has 2…

Why such a disparity?…Arrington is the public face of TechCrunch, so people will gravitate toward his feed even if he hasn’t written the post…Arrington follows 1,329 people on FriendFeed, Schonfeld follows 79…Arrington’s FriendFeed handle is techcrunch while Schonfeld’s is erick…so if you looking for the TechCrunch feed on FriendFeed, you’re naturally going to find Arrington first…

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Finally applied the FriendFeed Block function to a user…it wasn’t that he was hassling me, but he has a tendency to spam FriendFeed entries with unrelated things and links…he added one right after I posted a comment on one entry, which disrupted the vibe of the entry…so I finally pulled the trigger…

I actually feel bad about doing it…

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With the recent post about nudity on FriendFeed, the search term nudity is starting to show up a regular referral to my blog…not quite was I was looking for, but traffic is traffic…

Which makes me wonder what kind of search term hits Ginger Makela will get for her recent post Now That I’ve Got Your Attention with BOOBS, a Word from Our Sponsor…Ginger did ad sales for Google, so she knows a thing or two about SEO

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I did experience a few users unsubscribing from me on FriendFeed the past week or so…you write about nudity, gay marriage and Like Flickr pix with nudity, that will happen…

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Some couples on FriendFeed that I enjoy…Lindsay Donaghe and Tad DonagheThomas Hawk and Mrs Hawk

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And thanks go out to Steven Hodson for putting this humble little blog up on pedestal…if you’re not subscribing to his blog WinExtra, you should…click here to add it to your reader…

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See this item on FriendFeed: http://friendfeed.com/search?q=%22weekly+recap+062008%22&public=1

Fred Wilson’s Techmeme Challenge: Can a Little Tweet Go Big Time?

Last week, Fred Wilson asked this:

What will be the first twitter post to get picked up on Techmeme and who will post it?

It’s a good question. First hurdle is a technical issue – Techmeme doesn’t index and scan activity around Twitter.  Here’s Gabe Rivera’s response in full:

It’s hard for me to see how automated aggregation of tweets could be a net win for Techmeme. As others have said, tweets lack context, unlike blog which are much more self contained. Could tweets be reassembled into something more coherent for Techmeme? Automated processes for doing that are too error prone, at least by the standards Techmeme would demand. And even if they were perfect, the results will still look strange and disjointed. And in any case, blog posts tend to emerge quickly for the most important stories “breaking” on Twitter. Techmeme has definitely benefited from the Twitter ecosystem. For one thing, Twitter serves as a backchannel that prompts people to blog about things they otherwise would have discovered too late or not at all. Of course Techmeme publishes to Twitter too. But aggregation of the tweets themselves is a tough nut to crack.

In there, you’ll see the technology answer. He also addresses a larger issue, which is that tweets lack context as standalone content. But Fred Wilson answers that question this way:

But you can permalink to a tweet So if dozens of high profile blogs did that, then would that tweet be techmeme material and would it be right for that to be the anchor post?

Context is the name of the game here. If Gabe ever tracked individual tweets (thus solving the technical issue), I think there are two paths toward getting context.

  1. Self-evident context for the specific tweet
  2. An aggregation of comments around the tweet

These are different angles on the context subject. Let’s break ’em down, shall we?

Self-Evident Context

Fred Wilson hits the nail on the head for one way to evaluate context. What blogs are linking to the tweet?

My understanding of the inner workings of Twitter is incomplete, but one thing that’s important is whether a given party has been on Techmeme before.  Even better if said party was part of the Techmeme 100. Here’s how Robert Scoble described it:

TechMeme works partly on this principle: past behavior is best indiction of future success. So, Techcrunch gets on top for a lot of things because he’s been best in the past.

With zero tweets on Techmeme thus far, any tweet that makes it there will need an extra boost to get there. Self-evident context will be provided by two sources:

  • The Techmeme status of the person who made the tweet
  • The Techmeme status of the blogs that link to it

The Techmeme status of the person twittering is key. It’s one thing for Joe Blow to tweet “rumor: amazon.com to buy yahoo”. But if Techmeme regular Kara Swisher tweeted it, then we’re talking! There’d be the challenge of linking Boomtown Kara Swisher with Twitter Kara Swisher. But that doesn’t seem insurmountable.

The first element of context – the Twitterer’s Techmeme status – is linked to the second element, which blogs will link to the tweet. Unless we see a delphic newbie emerge, most high profile bloggers will pay attention to existing A-Listers. Here’s a visual description of all this:

This shouldn’t come across as a negative. It’s reality. The A-Listers got there by knowledge and skill, and have reputations to protect. If they put something out there, you really can put greater credence in it.

That’s self-evident context.

Aggregation of Comments Around the Tweet

The second scenario for a tweet would be the aggregation of conversations around it. The thing here is that the heat of the comments drives its placement on Techmeme. Assuming a lot of comments, and that the subject matter fits the Techmeme sphere.

But this scenario for context still requires some Techmeme juice. Both the original Twitterer and the subsequent commenters will need Techmeme status. Using the commenting from FriendFeed, here is an example:

The red boxes on the FriendFeed comments are for bloggers who regularly make Techmeme (Fred Wilson, Mathew Ingram, Louis Gray, Steve Rubel, Robert Scoble). So the presence of those comments gives the tweet the right context. It’s got Techmeme firepower.

I could see the aggregated comments for a tweet driving that tweet onto Techmeme. And FriendFeed makes it easy to track the conversations around a tweet. Which answers one of Gabe’s concerns in his comment above about tracking the contextual conversations around the tweet.

Final Thoughts

Fred ain’t so crazy. I could see a tweet hitting Techmeme, under a couple scenarios. But it will take the right combination of existing A-Lister Techmeme firepower to make it happen.

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Fred+Wilson%E2%80%99s+Techmeme+Challenge%3A+Can+a+Little+Tweet+Go+Big+Time%22&public=1

Experiment: Stream All FriendFeed Entries with Selected Keywords into Rooms

With the new ability to pipe feeds directly into Rooms, I wanted to try something new. Why not pipe all FriendFeed entries with a keyword into a particular room? In doing this, you can expand the Room’s content to include more than just what its member share.

What do I mean? Here’s an example. I’ve set up a Room called “Enterprise 2.0”. I searched on the ‘everyone’ tab for the term “enterprise 2.0”. I turned the search into a feed, and added that URL to the Enterprise 2.0 Room. Voila! I’m now channeling all FriendFeed entries with the term into the room, not just the stuff that is re-shared by individuals.

Here’s how you do that, courtesy of Mark Krynsky at lifestream blog. Run a search. At the end of the URL for the search, add this

&format=atom

So an atom feed of a search for “enterprise 2.0” looks like this:

http://friendfeed.com/search?q=%22enterprise+2.0%22&public=1&format=atom

I set this up for a couple other rooms as well:

The biggest concern is that for high volume topics (e.g. “FriendFeed”), you’ll overwhlem all Room members’ FriendFeed streams. But more specialized topics, it’s a great way to capture content that other FriendFeeders have produced or filtered.

One quirk…I noticed this one entry for Enterprise 2.0 kept repeating itself.

So there was the original entry from Kanwal, a Google Reader share. That entry hit my FriendFeed stream as blog entry I created (the search term feed). Hence the entry “Hutch Carpenter: Enterprise 2.0: Kanwal…” Well, that newly created entry hit my FriendFeed stream. Which in turn became another instance: “Hutch Carpenter: Enterprise 2.0: Hutch Carpenter: Enterprise 2.0: Kanwal…”

As I write this, that’s the only entry showing that behavior, and it has stopped repeating. Let’s hope it doesn’t take down the FriendFeed servers…

So there you have it. I wanted to share this little experiment. A good way to consolidate topical entries into a FriendFeed Room. Especially for those of us too time-pressed to re-share everything.

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Experiment%3A+Stream+All+FriendFeed+Entries+with+Selected+Keywords+into+Rooms%22&public=1

Same Sex Marriage in California – What Change Will We See?

[tweetmeme source =”bhc3″]

Same sex weddings begin today here in California. I’m wondering how this is going to change things around here.

Before Same Sex Marriage

I have some gay neighbors. I see them driving around. I see one of them walking their dogs. Chat with them on the sidewalk. They buy groceries over at the neighborhood store. Other neighbors ask them for advice on home remodeling. My kids say hi to them.

After Same Sex Marriage

I have some gay married neighbors. I see them driving around. I see one of them walking their dogs. Chat with them on the sidewalk. They buy groceries over at the neighborhood store. Other neighbors ask them for advice on home remodeling. My kids say hi to them.

Weekly Recap 061308: Social Media Exposure

Social media means exposure…exposure of your life…exposure to people interested in and knowledgeable about subjects you like…exposure to things that might offend you…exposure for your company

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Had fun this week with my post Nudity on FriendFeed: What Are Some Sensible Rules?…I wrote it for two reasons…(1) to get a temperature check from FriendFeed members as to where they stand with regard to nudity in their streams…(2) to point out that users have some control over their exposure to such things…

Michael Hocter, whose Flickr Favorites entry prompted me to write the post, reports that he gained a lot of new FriendFeed subscribers…and he’s sticking with the nudes (NSFW)…

I also learned that showing a topless model in your blog post will drive site visits better than anything…usually, my posts have a greater number of subscription views than site views, but this post was the opposite…a lot of click-throughs to the blog…

One concern…the word nudity in the post will get me some unwanted attention from odd spammers…thank goodness for Akismet

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Interesting development…FriendFeed now has a ‘block’ feature…as I write this, the FriendFeed guys haven’t posted anything about it yet to their blog…but here’s what the text says when you use the ‘block’ feature:

After blocking this user, you won’t see any of their posts or comments on FriendFeed, and they won’t see anything you post. If they’re subscribed to you, that subscription will be removed.

Here’s how Bret Taylor describes the philosophy of the feature: “Blocking is not a filtering mechanism, but an abuse prevention tool.”…this is going to come in handy…

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NBC News’s Tim Russert passed away today, from a heart attack…I enjoy following politics, and when I lived in Washington D.C., I couldn’t get enough of it…Tim Russert served up outstanding questions, a respectful demeanor and a tenacious pursuit for answers to his questions…I also enjoyed his book Wisdom of Our Fathers: Lessons and Letters from Daughters and Sons

Amazing array of items related to Tim Russert on FriendFeed…blogs, direct posts, news articles, tweets, photos, videos…

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Jeremiah Owyang asks Does the President need to know how to use a Computer/Web?…NO!…there are so many things that go beyond our technology world, why would we stress this?…give me an authentic leader, who can surround himself with a talented team, who has positions with which I agree, and who can drive an agenda at home and abroad…computer user is pretty low on my list of requirements…

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How FriendFeed has altered one of my behaviors…I often share only three items at once in Google Reader…three is the maximum number of shares that display with titles in FriendFeed…do more than that, and you get two blog titles visible, all others relegated to the dreaded “[N] more” link…

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Caleb Elston released new features this week for his company Toluu…those are great, but I thought an equally cool story was how Caleb leveraged his blogger relations and presence on FriendFeed and Twitter to spread the word…

I added up the Technorati Authority of the eight blogs that covered the new features…the combined Authority of 872 is the equivalent of getting a Top 5000 blogger to write about you, but even better…those eight different posts were bouncing to the top of FriendFeed over and over for each blogger’s set of subscribers, meaning the exposure was not dependent on one blog post getting traction…something to think about for future marketing…

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If you haven’t yet, make sure you check out Louis Gray’s post this week about The Five Stages Of Early Adopter Behavior…my favorite is Stage #4 “Sense of Entitlement, Nitpicking and Reduced Use”…I’m not an early adopter type (I still have a mini-brick Sprint cell phone), but I’ll have to watch myself for these stages…

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Weekly+Recap+061308%3A+Social+Media+Exposure%22&public=1

Nudity on FriendFeed: What Are Some Sensible Rules?

An interesting issue cropped up on FriendFeed. Nudity. Specifically, some of the Flickr pictures that come through on FriendFeed contain topless or fully nude models. It’s an interesting tension between user generated content and community norms.

This is an issue that has been raised numerous times in the United States, where community norms are more conservative. Europe seems to have been celebrating the human body since the Renaissance.

On FriendFeed, there’s a good discussion around a (not safe for work) set of Flickr favorites by Michael Hocter. The set includes pictures of topless and nude models.

There were several people applying ‘Likes’ to the set, including me. Hey, I liked the pictures, what can I say? They are artistic and beautiful.

The way FriendFeed works is what has caused some discomfort. If you subscribe to Michael Hocter, you’ll see his photos come through your feed. If you don’t subscribe, you won’t see his pictures initially…

Until someone to whom you subscribe Likes or Comments on them. Then they hit your FriendFeed stream via the friend-of-friend feature. As Michael Hocter himself says:

I photograph nudes, so I tend to favorite nudes on Flickr. A lot of them don’t show up here because most of us nude photographers mark our photos Moderate or Restricted. But sometimes when the photographer doesn’t do that, they end up here. I’m sure the majority of people who subscribe to my feed are aware of it and don’t mind, but the friend-of-a-friend feature is problematic.

This problem is somewhat unique to FriendFeed. You can publish photos on Facebook, but only people who are your friends will see them.

One female FriendFeeder who is subscribed to me, edythe, had this comment with regard to the photos:

yeah, i have some mixed feelings about the topless women. we had a discussion a couple of weeks ago about nudity appearing in flickr favorites. no one liked it when it was male nudity. I don’t object to this. i just have mixed feelings about it. (yes, i know i can hide it. 😉 )

Being an adult means you get to see things that you wouldn’t have when you were a child. I don’t want Victorian winds blowing through the feeds on FriendFeed. But I also recognize that there are sensible guidelines that govern the type of pictures that are appropriate.

A Few of My Own Guidelines

So I propose a few guidelines for nudity on FriendFeed:

I know it when I see it. As U.S. Supreme Court Justice Potter Stewart famously said about hard-core pornography, “I know it when I see it.” Both content submitters and those who Like or Comment need to use some common sense as to what constitutes porn. It’s particularly incumbent on those who Like and Comment to be reasonable.

Artistic vs. exploitive. This is one that probably varies by person, and really good arguments can be made on both sides. Here’s one way of thinking about it. Michael Hocter photos = artistic. Penthouse photos = exploitive. Playboy pictures = in the eye of the beholder. Want a better description of artistic? Here’s female photographer Dawn M. Armfield:

I don’t photograph nudes (obvious to anyone who follows my photography), but I really appreciate great nude photography, male or female. The contours of the human body are just as beautiful as any other shapes we photograph.

Sexual acts. Nope, don’t go there. Over the line.

Gender. Male or female models.

Anatomy. All normally visible parts of the human body (e.g. no goatse).

Frequency. Oh, this is a good one. If you’re an originator of content (e.g. Flickr favorites), I don’t think there should be any restrictions on how often you add content. Fire away as much as you want. If you’re a Liker or Commenter, use common sense in your frequency. Your subscribers probably aren’t looking for a high volume of nudity. If they want that, they can subscribe to the originator.

Don’t Be Afraid to Like or Comment. One of the great things about FriendFeed is you can give feedback to content submitters. I just said that Likes and Comments shouldn’t be overly frequent. But don’t stop giving feedback altogether…that would be another form of censorship.

Use the Hide function. Those who are offended by nudity should make good use of the Hide function. Assuming folks follow some of the guidelines above, the initial view of the pictures hopefully won’t cause cardiac arrest. After the initial shock, click that Hide link. No more of the offending pictures.

Final Thoughts

The hell if I know whether these make sense to others. I’m not a First Amendment public policy expert. I’m not a professional photographer. I’m not a woman who might feel excluded or offended by interaction around these pictures. But they make sense to me, a regular dude.

What do you think?

I’m @bhc3 on Twitter.

Subscribe or Not? Toluu Just Got Better at Helping You Decide

A couple months ago, I had a chance to review Toluu, the blog recommendation site. The site is great, and has gotten really good uptake. In that review, I did write this:

I’d like to get a little more info about some of these blogs in a summary fashion, without having to click each one.

Well, Caleb Elston and team have delivered some nice new features that do just that. Here’s what is new at Toluu:

  • View the most popular posts from a blog
  • Who else has subscribed to the blog within the Toluu world
  • What other blogs those same subscribers have subscribed to recently
  • Posts now have datestamps
  • The contact page loads 5 times faster

The new features providing context around a blog are particularly interesting for me. Let’s look at those.

Toluu Before and After

Here’s a screen shot of the page for a blog before the updates. The most recent post for the blog is shown, without any date information.

Next, the same screen with the updates. Below, you’ll see new tabs for the blog: Recent, Popular, Subscribers. Also, note that the post for the blog now has timestamp information (“Yesterday”).


With the addition of the tabs, you now have quick access to more information about the blog.

Popular Posts = Better Insight into the Blog’s Best Stuff

As you’re checking out whether to subscribe to the blog, you click on the Popular link. This is pretty nice. The blog’s most popular recent posts are shown. At a glance, the user can see if the blogger’s top stuff is interesting. A good way to gauge what animates the blog.


According to Toluu founder Caleb Elston, the determination of what’s popular for a blog is “a combination of our own data mixed in with some data from AidRSS and soon a few more sources.”

The list shown for this blog is a pretty good indicator of popularity.

Subscribers = Who Else Likes this Blog?

This feature is really cool on a couple fronts. As a user deciding whether to subscribe to a blog or not, the list of subscribers provides a reference of sorts. Who feels like there’s enough “there” to warrant a subscription?


You can see what other blogs the subscribers have added as well. For example, I see that Corvida added Blogsessive. I checked it out, and decided to add it myself. A really nice way to leverage the filters of others in finding blogs you may like.

In fact, in terms of human filtering, you now have three ways in Toluu to handle that:

  • The algorithm-based matches to others
  • Your selected contacts’ additions to their feeds
  • What are the other feeds of people who subscribe to your blog

As a blogger, I also find this feature very nice. You may know your number of subscribers, but do you know who they are? Well, with Toluu, it’s pretty easy to see who some of them are.

Nice Job

These changes are a great step forward in helping you decide which blogs warrant your subscription. Better sense of the blog’s content. Better sense of the crowd that likes a particular blog.

My wishlist still includes better macro, summary recommendations for blogs. But all in due time. Hats off to Caleb and team for adding these excellent features.

Also – I invite you to check out my Toluu page: toluu.com/bhc3 If want an invite, just leave me a comment.

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Subscribe+or+Not%3F+Toluu+Just+Got+Better+at+Helping+You+Decide%22&public=1

Nick Carr: Google Making Us Stupid? How About Smarter?

The media or other technologies we use in learning the craft of reading play an important part in shaping the neural circuits inside our brains.

Nick Carr, “Is Google Making Us Stupid?”, The Atlantic, July/August 2008

Nick Carr has a really interesting piece in the current issue of The Atlantic (CNET coverage here). The premise of the article is that use of the web is possibly rewiring our modes of thinking. We’ve become much more adept at the light skimming of content than the deeper understanding of long thought pieces. If that’s the case, what does that mean mean for intellectual progress in the future?

The article is full of historical references (e.g. how Friedrich Nietzsche’s writing changed when he went to the typewriter) and scientific studies (e.g. the plasticity of the human brain enables us to adapt to new learning modes).

One area that Nick doesn’t talk about much is apophenia, which Maki on FriendFeed first alerted me to. According to Wikipedia:

Apophenia is the experience of seeing patterns or connections in random or meaningless data. The term was coined in 1958 by Klaus Conrad, who defined it as the “unmotivated seeing of connections” accompanied by a “specific experience of an abnormal meaningfulness”.

Robert Scoble employs apophenia as part of his profession. In one of his posts, he says: “I like the noise. Why? Because I can see patterns before anyone else.”

In this way, the larger consumption of data in lightweight chunks can be thought to bring a new kind of intelligence to people. Your subconscious is collecting a series of signals along the way. At some point, all of this information lurking just below your accessible thought pops up, and you’re suddenly aware of an emerging dynamic.

I really like this idea. And it fits with how we pick up information ourselves in the physical world. You don’t stop and ask people what they’re talking about on the street. But you may pick something up as you listen in to their conversations. You may not read the planning commission report, but you see how development is progressing in your town based on the construction you see.

I’ll contrast apophenia with traditional learning, in which a person can go deep with the thinking of a few selected masters in a field. But I draw this contrast not to dismiss traditional learning. Not at all. Understanding things based on a deeper reading of learned intellectuals and practitioners is a vital part of learning.

I hope Nick is wrong about losing our ability to sit through a longer piece. I haven’t lost that – I read his article twice this weekend.

If we can add a new mode of learning via apophenia to our traditional forms of undersatnding concepts, we’re all going to be smarter in the long run.

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Nick+Carr%3A+Google+Making+Us+Stupid%3F+How+About+Smarter%3F%22&public=1

Weekly Recap 060608: Ferris Bueller Was Right

The week that was…

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“Life moves pretty fast. If you don’t stop and look around once in a while, you could miss it.”

Ferris Beuller, Ferris Bueller’s Day Off

Consider that line in the context of the recurring demand for more signal

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FriendFeed rolled out a new feature to let you see the content that has risen above the noise…Personalized recommendations let you see the stuff that has the most likes and comments, but only for content provided by your network…actually, upon closer inspection, there’s one other component to the ranking…from the blog post: “based on your friends’ comments and ‘likes’ and other signals”…other signals?…hmmm…wonder what those are…

It’s a very cool feature, with some real potential…early benefit seems to be finding the good stuff missed during extended time away from FriendFeed (like more than 2 hours)…it also gives you a personal meme as well…

Robert Seidman has a good post describing potential pitfalls…

What winds up happening is that people are finding “best of” items so easily that they naturally are and adding more “likes” and comments to them which causes them to jump to the top of my regular FriendFeed stream (even outside of “show best of”). I don’t love this.

I noticed this too…older posts with lots of likes/comments suddenly were showing up in my stream again…because people using the “best of” feature were liking and commenting…let’s see how the dust settles once people get used to it…

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Robert Scoble, on the value of noise

If you don’t have noise, how can you tell what is signal?

Stop and think about that for a little while…

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I’ve been harping on the noise and filter issue for a while…I was really stoked to see ReadWriteWeb’s Marshall Kirkpatrick pick up the issue with a beautiful blog post Why Online “Noise” is Good For You…a few good points Marshall brings up…

  • Scanning quickly over large quantities of roughly relevant information can turn up invaluable resources, opportunities, context and contacts.
  • The ability to recall passively collected information that was gathered purposelessly in the past and put it to use in the future is a particularly powerful form of intelligence.
  • Some people worry that being exposed to too much information will lead to not remembering very much of it. Scientists say that’s not necessarily the case, though.

There’s a lot more there, you’ll kick yourself later if you don’t read it…

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Plurkkarma“…gonna wait on this one…

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Had a chance to visit the FriendFeed office this week during their open house…if you’ve seen Robert Scoble’s Qik video, you’ve got a good sense of their office space…big, spacious, plenty of room to grow…they actually share the space with another company…

Paul, Bret, Kevin, Casey, Ross, Dan, Ana (bios here) were all just as nice as can be…I’ve actually never gone to one of these start-up open houses before, is this some sort of Valley tradition?…one thing I got from talking with Paul was his interest in the distribution and consumption of information, which is what FriendFeed is all about…

Got to meet a few folks I’ve seen online…Ginger Makela, Adam Lasnik, Adam KazwellLouis Gray was there, and he had this awesome shirt that has his blog graphic on it…it actually made it easier to identify him if you’ve never met him before…as Chris Brogan’s been writing, you need to establish your online brand (even in offline meetings)…

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See this item on FriendFeed: http://friendfeed.com/search?q=%22Weekly+Recap+060608+Ferris+Bueller+Was+Right%22&public=1

A Definition of Noise

FriendFeed co-founder Bret Taylor has a nice interview with CNET’s Dan Farber today. In the interview, Bret mentions that FriendFeed will be introducing ranking algorithms soon. These will create your own personalized FeedMeme.  Which is going to be interesting. Dan Farber then asks whether user controls over content will be rolled soon. Bret answers ‘no’.

In the discussion around this link to the interview, Kingsley Joseph comments:

great interview. Bret’s got it right – ranking algorithms, not filtering is the key to noise processing

This was an interesting comment. I think of noise as a very personal thing. And the ability to define your own take for what constitutes noise makes sense to me. But Kingsley has a different point of view.

So I wondered…are we talking about the same thing. What exactly is noise?

A Definition of Noise

The diagram below is my definition of noise.

Signal is all about the stuff you actually want. For some, it’s a steady stream of social media entries. For others, it may be a steady stream of parenting items. Or baseball discussions.

Discovery is the middle ground. It’s things you weren’t looking for, but find interesting. Maybe Flickr Favorited pictures. An interesting tidbit from the world of science. An Inquisitr celebrity update.

Noise is the stuff you just don’t have the patience to put up with. It’s not anything you’re seeking, it’s annoying you that it’s even on your screen.

In this definition, there’s a fine line between discovery and noise. I’m argue that its the quantity of entries that determine whether something is noise or not. A few items creeping into your FriendFeed is probably all right for all but the hard core signalists. At some point though, when the volume of stuff you’re not seeking crosses a threshold, the entries become noise. You’re not getting enough of the stuff you’re seeking.

Everyone has their own threshold for discovery versus noise. This is the personalization required for noise control. Alexander van Elsas touches on this issue in a recent post:

It’s the noise problem (Try a search on “noise” here for example). How can we find the things that are really important from that huge pile of information floating around. That is partially why we have aggregation and filtering services. Each of them, using one algorithm or another, tries to compile a tiny subset of the universe and present that to its users. The question that remains is whether or not the right tiny space is presented.

Alexander strikes me as being closer to the signalist end of the information spectrum.

FriendFeed Rooms + Ranking Algorithm > Filters?

This brings me back to Kingsley’s point of view that ranking algorithms are optimal for noise control. Ranking algorithms are absolutely terrific. I love them. They provide a lot of benefits in a number of areas (e.g. Google Search).

I’m should also note FriendFeed’s Rooms as the other initiative for isolating topics and controlling noise.

Are they enough to control the noise? It’s hard to say yet. For Rooms to be effective, members are going to need to use them pretty frequently. That can happen over time, but it’s still dependent on the broadcasting member using them. There won’t be 100% compliance because:

  • I can’t perfectly predict what my subscribers will think is noise
  • Likes and Comments on something outside my usual programming put entries into my subscribers’ streams

The ranking algorithms will be interesting. Looking forward to seeing what gets rolled out. Knowing the FriendFeed gang, it’ll be good.

The difficult part is finding the middle ground between the hard core signalists and the discoverers, who like a fair amount of entries outside the stuff they seek. Neither group wants noise, but the threshold for the number of unseeked items varies greatly. My tolerance is pretty high, so I guess you’d call me a discoverer.

Balancing the desires of the signalists and the discoverers, and the varying thresholds of individuals will be the challenge. Let’s see what the ranking algorithms do.

I’m @bhc3 on Twitter.