Tag: social media

  • The Lifestream Filter Will be the Next Great Algorithm War

    I’m paraphrasing the title of this post from David Recordon who threw this line out following a chat I had with him a couple of weeks back. It’s a very insightful observation that predicts opportunities in the real-time world which lifestream services operate.

    It’s now easier than ever to pull together an aggregated feed of content from across the web. Facebook and FriendFeed organize this content around your friends and contacts. MyBlogLog also presents a New in My Neighborhood view which shows a mixed feed of all your contact’s lifestream content. Yet, once you get more than a handful a friends on these systems, the number of updates (especially if any of them are using twitter) quickly spins out beyond what you can handle.

    Twitter is often used to announce new blog posts and the new broadcast service from Six Apart, Blog It, only exasperates the problem by spawning multiple posts from a single Facebook entry. We live in a world where finding out what your friends are doing is not a problem. The difficulty is in filtering through the hundreds of updates that stream by each day to those events that are most relevant without losing the sense of serendipitous discovery that we experience today.

    So here we are today. It’s like we’re all discovering search engines all over again. In a matter of weeks we’ve gone from “Wow! I can find everything here!” to, “Crap! Over 600,000 results for the phrase Serendipitous Discovery? How can I find the one reference I’m looking for?”

    The huge opportunity ahead is a filter to bubble up the things you need to know without missing anything you want to know.

    A couple of posts point to this being a trend

    We’re trying a few things out at MyBlogLog that vector results based on how you have tagged yourself on your profile. Right now, in a user’s New in My World feed, it’s a straight, chronological feed based on items that match your tags. Also, because it’s based on meta-data, this only means we can present you with items that are tagged so that leaves out plain text updates such as twitter posts but we’re just getting started.

    As David’s quote indicates, this is a huge opportunity and something I look forward to working on. I look forward to a robust debate on different approaches in the coming weeks!

  • Facebook takes away your thumbs

    Inside Facebook noticed that the thumbs up icon no longer on the Facebook mini-feed.  All in the name of simplification says Facebook but to me it seems like they’ve removed a sense of control over the feed I once thought I had.

    No Thumbs Allowed

    Curiously, the FAQ is still there.

  • Nate Ritter’s one-man band media service

    I went to a meetup sponsored by Netsquared and saw Nate Ritter talk about how he was able to fill in during the power outages during the San Diego fires and keep us all informed on what was going on. Part of his amazing story is how on the first day he worked for over 12 hours with only one 15 minute bathroom break.

    Nate’s story was covered by Wired and highlights that he quickly ran into a limitation of the Twitter API which would crash if he posted more than 70 posts/hour (he eventually moved to posting directly into twitter.com).

    Other interesting tidbits include the fact that for some residents, he was the only game in town because power was done in most of the area (with other townships borrowing power from Tijuana to the south). In times of crisis, SMS messaging rules.

    The graphic posted above is from his talk, which he outlines on his blog. It’s a very basic setup where you drop a few feeds in on one end, usually filtered to sort on specific topics relating to your crisis at hand, and then Rube Goldberg-like, mush it all together using soup.io and then pump that RSS out to twitterfeed.com which will take any RSS feed and turn it into twitter posts. This is Nate’s basic setup which he’s re-purposed several times for other situations, most recently the floods in Northern California.

    The setup described above doesn’t take more than an hour to get up and running.  Looking at it really gets the gears turning. What kind of twitter feed would you setup at the wheels of something like this?

    I can think of a few services to add to improve it.

    • Yahoo Pipes for greater filtering
    • twitter’s “track” function to track mentions by keyword
    • Dave Winer’s twittergram to allow people to phone in updates from the field

    Can you think of any others?

  • Vitality – what’s next?

    Back when Facebook announced it’s News Feed (then called the “mini-feed”) which aggregated all your friends activity onto a single, easy to scan page, there was a firestorm of controversy. What upset people the most was that this feed, which consisted of updates that, up until that time, had been scattered across each of your friends pages, now pulled everything together into a page which, at the time, seemed jarringly out of context. A single aggregation point was the right thing to do from a technical standpoint. Much like an RSS Reader made it easier to scan through the latest posts on your favorite blogs, the Facebook News Feed streamlined the process of keeping up with the latest activities of your friends.

    What didn’t sit right with the Facebook users was that by making the process of keeping up with your friends easier and more efficient, it crossed an unwritten privacy boundary. It was like that first time you looked up a phone number or someone’s name on Google. It felt like you were looking at something you weren’t supposed to see. Seeing these events spread out over multiple profiles, in context with other activities was normal but to have it all pulled together was almost too powerful and it was a shock.

    Facebook News Feed detail

    It’s only a few months later and now we think nothing of it. The fact that Facebook can pull this information together for us is nothing special and this kind of aggregation is now, as my colleague Todd Sampson likes to say, “the cost of admission” for any social network site. The one issue I’ve had with closed systems is that you’re limited with what you can do with data that you put in there. As soon as the News Feed was launched, I was poking around looking for the RSS output of the feed. The same when the Facebook API was launched. I was disappointed to find that Facebook did not allow you to pull the News Feed updates out of Facebook.

    This is by design of course. The News Feed is much more than a simple aggregation of your friends activity. There’s an algorithm working behind the scenes that calculates the proximity of your friends and does some filtering to show you more events from friends that you may care about and less from friends that are only tangential to you. We now know that the Facebook News Feed is also a key venue for Facebook’s advertising where endorsements and call outs to products are services are beginning to appear inline along with your friends’ updates.

    It’s inevitable that other social networks would catch on of course. Reservations about privacy melted away when publishing your profile activity became not only accepted but expected. The transformation was further solidified when Twitter changed the concept of friending into following. No longer did you need to declare someone a friend (which carries a social expectation) in order to follow their updates. It is now acceptable to follow someone’s updates because you trust their taste. You may not know them personally but you could still be a fan.

    Now we see multiple versions of the News Feed appearing on the front page of other sites front and center as a key part of what they offer. Plaxo Pulse was the first out the gate and shortly after Friend Feed launched with their simple aggregation. Wink as well and most recently I noticed that even LinkedIn has joined into the game.

    winkPlaxo Pulse

    Friend FeedlinkedIn

    Vitality, as we call it at Yahoo, is nothing new. What is most exciting about the aggregation of events, particularly when it’s done across open systems as it is in Plaxo, Friend Feed, and Wink, is what you can do with that data. If we go back to the RSS Reader example earlier, it’s one thing just to pull together events for your users’ convenience. What is so much more interesting is when you can begin to infer things based on the collective activity that you pull together.

    There’s a lot more work to do. In the same way that the MyBlogLog Hot in My Communities feature and the My Yahoo Top Picks module bubble up interests, or the Google Reader Trends page, and Bloglines Beta Top 1000 reflect popularity, the next step is to apply similar analysis to social activity.

    What kinds of tools and features would you like to see from an aggregation of your social vitality?

  • last.fm artist page wiki

    last.fm wiki

    Tonight I discovered that last.fm has a wiki to store biographies for each of the artists (here’s the entry for Radiohead). They offer a subscription to an RSS feed of recent changes but with a last.fm twist – it limit the feed to updates of changes and edits to only artists it thinks you’ll care about.

    I wonder how long this feature’s been there?

  • Facebook and RSS out

    Facebook and RSS out

    Dave Winer pointed out that RSS feeds are now available for your Friends Status, Friends Posted and Notifications pages in Facebook. The friends updates have been around for a while but the notifications feed might be new. An astute comment on the Techcrunch post about this news says:

    The news feed really was a stroke of genius. As simple of concepts as they are, the feed plus the simple little “X” that lets you remove an item from your history are the two most important features.

    I don’t think it’s a coincidence that the two feeds they’ve opened up have direct competitors. Status plays to Twitter and Jaiku, while Posted Items play to Digg and Pownce.

    Without any worthwhile competitor to a comprehensive news feed of friends, I’m betting Facebook will keep that info behind the wall.

    Facebook Opens up their Data Feeds

    There is no real competition to the comprehensive News feed and Mini-feed which is core to Facebook’s value as a destination site. Facebook’s FAQ on their RSS feeds explains the difference between the published RSS feeds and the News and Mini feeds:

    The Atom feed or RSS feed of your friends’ notes, statuses, or posted items or an individual user’s notes, statuses, or posted items contains that content only, whereas News Feed contains stories about photo postings, relationship changes, etc. Also, your News Feed won’t show a story every time one of your friends posts a note to Facebook; your News Feed only contains the stories we think you’ll be the most interested in. The RSS or Atom feeds of a user’s notes or your friends’ notes, for example will contain every note posted.

    There are subtle nuances in what Facebook shows you. There is some “special sauce” which calculates what “they think” you’ll be interested in. That’s not something an RSS feed can calculate unless it can be vectored against meta-data about your friends and your stated interests.

    This is where it gets interesting. Both Fred Wilson and Mark Mezrich post at length about yesterday. You can pull in all the status updates and news updates you want from all over the web but it’s all just noise unless it can be filtered in a unique and meaningful way. We’re approaching a world where you should be able to swap your friend networks in and out as a social filter on anything you look at online.

    Last.fm is great for finding people with similar musical tastes and finding new music you might like. What about using that same network to find something good to read? How about swapping out your favorite Yelp restaurant reviewers and directing them to pick out the best stove for your kitchen? Like the device used by the eye doctor when you get new glasses, swap in a new lens and make what is blurry today crystal clear. Is the solution to make social networks as interchangeable as the lenses at the eye doctor?

  • Social News

    Social News

    The Social Media Club gathered at the KQED studios in San Francisco to discuss “social news aggregators.” It was a panel discussion so unfortunately there was not a lot of time for interaction with the audience but with Digg, Reddit, and Topix represented on the panel, there was plenty to learn. Pictured above, the panel included:

    From my notes,

    Story to Comment Ratio. In response to a question from Daniela. Out of about 40k stories/day Digg figures they get about 8k comments. The story/comment ratio is an important metric for measuring the health of a community but we need to keep in mind that Digg stories are usually not much more than a line or two summary of what they’re pointing to.

    Copyright. For mainstream media, copyright often extends to headlines. Topix had to negotiate the right to republish headlines. Wired re-writes them. The Digg users often re-write Wired News headlines. Evan complimented the Digg community for sometimes coming up with better headlines than their own.

    Where’s the Story? – In response to a comment from Tom Foremski Evan said that professional newspaper journalists have been sitting in a happy medium between the trade journals and the public. The trade journalists are doing all the heavy lifting, staying close to their sources and sniffing out the stories because of their deep understanding of the industry. Once the trades publish a story, the mainstream journalists would pretty up a technical article, make a few calls to verify facts, and publish it for the mainstream audience.

    This game is now being played on the general news organizations. Online aggregators are picking up the general news and re-purposing it for their audiences. The social tools that overlay the aggregated news feed is a “crowdsourced” version of the newsroom.

    Traffic Sources: Evan mentioned that 90% of their traffic comes via the sidedoor (RSS feeds, clicks from aggregators such as Digg). Yet, even with just 10% of the traffic, it is important for them to spend time on their front door because that represents their brand.

    Advertising: Chris had a great observation on the shift to online and what that means for existing business models of the large media companies. A member of the audience mentioned that large media companies are resisting the shift to online because they have a large infrastructure and revenue stream to protect. To this, Chris further added that as the management of these companies look at their net yield/user, it’s a fraction of what they would make from them via advertising on the traditional print or broadcast video channels.

    As readers come online and shut off their TVs or cancel their newspaper subscriptions, it’s not like the receivers of the attention are gaining the same amount of revenue that the large media company has just lost. It’s not zero-sum, value is being lost and will be captured elsewhere. Advertising models are going to have to change, it’s not about net impressions, it’s going to be something else. We’re currently stuck in a new world with measurement tools based on the old business model. Until that gets changed and we learn to measure and value something like engagement, it will always appear as if value is being “destroyed.”

  • BluBet, predictive markets for the rest of us

    One of the problems with predictive market sites is the complexity of the economic model makes it difficult for the casual participant to get involved. Because the underlying dynamics of the market or methods of measurement are hard to grok, the markets never really scale to a number that filters out noise effectively enough to get a strong signal.

    In order to gain mass adoption, you need to make the game drop dead easy. Digg has done a great job at this. Right from the results screen it’s immediately understood what’s going on and the wonderful little flash widgets give you immediate gratification when you add your “digg” to a story and it’s easy to see how you can make an impact. Flickr is the same with it’s “favoriting” feature. A simple click on the “Add to favs” star and you see the impact and know you’re feeding the interestingness machine.

    BluBet is new service along the same lines. A wager is the simplest way to express your conviction and it’s a little more compelling than a digg-like vote because you’re putting your reputation on the line with your BluBucks so it’ll keep you coming back to see how you’re doing. I’m with Dave McClure, “this is going to be big.”

    I’ve got a wager going right now. Do you think any of the top 100 newspapers in the US will cease to be available on newsstands by the end of 2007?

  • Leftover notes from Jimmy Wales talk

    jimmywales.jpgBack in January I saw Jimmy Wales speak at a Social Media Club gathering in San Francisco. I scrawled down a few notes but never got around to transcribing them. Better late than never!

    Jimmy Wales’ Wikipedia principles

    1. Assume good faith
    2. Intentional vulnerability
    3. Accountability rather than gatekeeping

    Q: Why don’t more people contribute?

    A: They either (a) want to withhold value that they may cash in later or, (b) they are not sure if they will get credit for their contribution. Credit from your peers is a very powerful motivator. One of the most important things you can do if you manage community-based ecosystems is to highlight and thank your most valuable contributors.