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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Reference vs. Referral
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Reference vs. Referral
Data Mining

Reference vs. Referral

Daniel Tunkelang
Daniel Tunkelang
4 Min Read
SHARE

I just read an interesting “guessay” by designer Joshua Porter entitled “The Slow Erosion of Google Search“–which in turn cites an insightful essay by Brynn Evans, “Why social search won’t topple Google (anytime soon)“. Brynn’s tweet alerted me to the Porter essay, which just shows that social media can have directed cycles!

But what really caught my attention was the following comment by Mike Susz on Porter’s post:

google vs. social media is the difference between reference, and referral.

google is a reference, and to find accurate info relies on you being able to boil down what you’re looking for to a very small amount of words that hold lots of meaning.

there is no other context – it’s like looking something up in the dictionary. unless you can already succinctly describe what you’re looking for in very few distinctive terms, you won’t find what you need.

social media adds incredibly value context to your search – from your ability to elaborate more (within reason) to being able to disambiguate terms.

even your relationships themselves add infinitely valuable context – your contacts know what you do for a living, the techni…

More Read

Capturing Knowledge, and Making it ‘Findable’ (2 of 4)
The Analytics of Terrorism
Not All Social Network Users Alike – Four Types of LinkedIn Users – Which Type are You?
Austinites Really Love Music & Kevin Durant is Kind of a Big Deal, So Says Data Science
Hospitality Technology (Or Lack Thereof) – What is the Insight ROI?

I just read an interesting “guessay” by designer Joshua Porter entitled “The Slow Erosion of Google Search“–which in turn cites an insightful essay by Brynn Evans, “Why social search won’t topple Google (anytime soon)“. Brynn’s tweet alerted me to the Porter essay, which just shows that social media can have directed cycles!

But what really caught my attention was the following comment by Mike Susz on Porter’s post:

google vs. social media is the difference between reference, and referral.

google is a reference, and to find accurate info relies on you being able to boil down what you’re looking for to a very small amount of words that hold lots of meaning.

there is no other context – it’s like looking something up in the dictionary. unless you can already succinctly describe what you’re looking for in very few distinctive terms, you won’t find what you need.

social media adds incredibly value context to your search – from your ability to elaborate more (within reason) to being able to disambiguate terms.

even your relationships themselves add infinitely valuable context – your contacts know what you do for a living, the techniques or technologies you use, and might already have experience solving the same problems.

What a fantastic and concise explanation of the difference between the way people interact with conventional web search engines and the way they seek information through online communities like Facebook, LinkedIn and Twitter.

Today I even had the opportunity to experience this difference first- hand: I used social search to replace my headphones. I first went to Hunch, which did a solid job of pointing me to a suitable pair of headphones. In fact, I ultimately purchased the headphones recommended as the 3rd of 53 possible choices. After getting recommendations from Hunch, I turned to Twitter, where I received a flurry of advice, as well as requests to share what I learned. Given that advice, I turned to a few ecommerce sites to follow up on a few candidates. And ultimately I bought a pair of headphones that will hopefully arrive before my current ones fall apart.

So, is Twitter a search engine after all? I still say no, but it certainly facilitates social search.

Link to original post

TAGGED:googlesearch
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data science professor
The Power of Warm-Ups: Setting the Stage for Learning
Exclusive News
cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Google: Find Similar Images

3 Min Read

SIGIR: Meet the Who’s Who of Search and Information Retrieval

5 Min Read

Social Searching Everything, For Everyone: Product Review

4 Min Read

Search and the social graph

4 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?