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
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    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
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: WikiDashboard: Visualizing Wikipedia Edits
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 > WikiDashboard: Visualizing Wikipedia Edits
Uncategorized

WikiDashboard: Visualizing Wikipedia Edits

Daniel Tunkelang
Daniel Tunkelang
3 Min Read
SHARE

Ed Chi, a senior research scientist at the Palo Alto Research Center (PARC), recently delivered a presentation at MIT about  WikiDashboard, a tool that he and PARC colleague Bongwon Suh developed in order to visualize the dynamic nature of Wikipedia’s collaborative editing process. Erica Naone, a regular here at The Noisy Channel, wrote a nice article about it in Technology Review, entitled “Who’s Messing with Wikipedia?“.

I like Ed Chi’s work, and we talked about the WikiDashboard project when I visited him at PARC just over a year ago.  But, as I was quoted in the article, I do wonder what problem this visualization aims to solve. A picture, it is said, is worth a thousand words, but this feels too much like looking at a thousand words. I hope that Ed and the team at PARC invest in distilling a more consumable signal out of this wealth of data that can be applied to solve real problems.

I also hope, that as Rob Miller points out in the article, the collection and publication of suh measurements does not simply enourage people to game them.

More Read

How vanguard is your change?
Vivisimo, Please Keep It Real
How GE Is Using Big Data to Drive Business Performance
Securing Enterprise Data and Computer Power
eEvolution

Ed Chi, a senior research scientist at the Palo Alto Research Center (PARC), recently delivered a presentation at MIT about  WikiDashboard, a tool that he and PARC colleague Bongwon Suh developed in order to visualize the dynamic nature of Wikipedia’s collaborative editing process. Erica Naone, a regular here at The Noisy Channel, wrote a nice article about it in Technology Review, entitled “Who’s Messing with Wikipedia?“.

I like Ed Chi’s work, and we talked about the WikiDashboard project when I visited him at PARC just over a year ago.  But, as I was quoted in the article, I do wonder what problem this visualization aims to solve. A picture, it is said, is worth a thousand words, but this feels too much like looking at a thousand words. I hope that Ed and the team at PARC invest in distilling a more consumable signal out of this wealth of data that can be applied to solve real problems.

I also hope, that as Rob Miller points out in the article, the collection and publication of suh measurements does not simply enourage people to game them.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Searching SPSS Case Data: An Enhancement to the SPSSINC PROCESS FILES Extension Command

5 Min Read

New Revenue Recognition Rules Require Software

18 Min Read

SIA SPOILER ALERT: Email Elements

2 Min Read

The Big Data Interview: Sanjay Mirchandani, CIO

17 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
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?