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

We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 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

Who Runs the Show?
Vivisimo, Please Keep It Real
You know it when they dance
Engagement or Experience?
On A Smarter Planet … Some Organizations Will Be Smarter-er Than Others

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

Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up -- AI-generated illustration
Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up
Artificial Intelligence Exclusive Machine Learning
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026 -- AI-generated illustration
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026
Cloud Computing Exclusive IT
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations -- AI-generated illustration
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations
Artificial Intelligence Exclusive
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026 -- AI-generated illustration
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Will the New Apple TV Revolutionize the Conference Room?

4 Min Read

Incumbents

4 Min Read

A Portrait of the Data Quality Expert as a Young Idiot

3 Min Read

New Book – The Data Governance Imperative

5 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?