Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Those Who Give Twitter *Get* Twitter
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Those Who Give Twitter *Get* Twitter
Uncategorized

Those Who Give Twitter *Get* Twitter

Daniel Tunkelang
Daniel Tunkelang
5 Min Read
SHARE

Marshall Kirkpatrick at ReadWriteWeb wrote a post arguing that the people working at Twitter aren’t using the service the way its power users do, and that this bodes ill for Twitter. His main arguments:

  • Twitter’s employees don’t twitter very much: an average of 2 to 3 tweets per person per day.
  • Twitter employees don’t follow very many other people: only 2 out of 49 Twitter team members follow more than 500 people and no one was over 1k.
  • Twitter staff members aren’t following top Twitter developers in the community.

I can’t really address the third point, but the first two–and especially the second–are hardly helpful to Kirkpatrick’s case. To the contrary, they argue that the people who work at Twitter get it. And, to make sure Kirkpatrick got it, Twitter CEO Ev Williams even wrote him a letter, in which he said:

Many people fall into the trap that you should follow all or most people back out of a sense of politeness or so-called engagement with the community… At a certain point, you’re not actually reading any more tweets by following more people — you’re just dipping into the stream somewhat …

More Read

Satisfying Saturday: The Buzz on Google Buzz
Is the Speed of Decision Making Accelerating?
Stay agile
OMB on CIOs: Some context for the enterprise CTO
TEDx: Big Brains Meet Barcamps

Marshall Kirkpatrick at ReadWriteWeb wrote a post arguing that the people working at Twitter aren’t using the service the way its power users do, and that this bodes ill for Twitter. His main arguments:

  • Twitter’s employees don’t twitter very much: an average of 2 to 3 tweets per person per day.
  • Twitter employees don’t follow very many other people: only 2 out of 49 Twitter team members follow more than 500 people and no one was over 1k.
  • Twitter staff members aren’t following top Twitter developers in the community.

I can’t really address the third point, but the first two–and especially the second–are hardly helpful to Kirkpatrick’s case. To the contrary, they argue that the people who work at Twitter get it. And, to make sure Kirkpatrick got it, Twitter CEO Ev Williams even wrote him a letter, in which he said:

Many people fall into the trap that you should follow all or most people back out of a sense of politeness or so-called engagement with the community… At a certain point, you’re not actually reading any more tweets by following more people — you’re just dipping into the stream somewhat randomly and missing a whole lot of what people say. That’s fine, but I believe people will generally get more value out of Twitter by dropping the symmetrical relationship expectation and simply curating their following list based on the information and people they want to tune in to.

Amen! I’ve been hammering this point here in most of my posts about Twitter, but here is a handful of examples for newer readers:

  • Twitter’s Twist on the Attention Economy
  • An Attention Ponzi Scheme?
  • Putting the Social back in Social Networks
  • The Real Twitter
  • Guy Kawasaki, I’ll Say It

And of course the whole point of TunkRank is to discourage the vicious circle of reciprocity and fake following. That’s baked into the the measure which, like PageRank, divides the voting power by the number of out-links.

The comments on Kirkpatrick’s post suggest that a lot of regular Twitter users also get it. I find that reassuring, especially given the hype around Twitter in the last several weeks. Twitter can be a useful tool but it will help if people don’t devalue it by imposing cultural norms that devalue the social network. I’m glad the folks who have given us Twitter realize that.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive
data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Top BI Questions Blog Posts of 2009

4 Min Read

Enhance Your CRM Data to Sharpen Your Sales Pitch

6 Min Read

Package Update Roundup: Sep 2009

3 Min Read

BrightIdea and Planview, moving closer to an integrated social product development process

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?