Lovely-Faces.com Imports 250,000 Facebook Profiles Without Permission!

History seems to be repeating itself!

Lovely-Faces.com

Lovely-Faces.com

Do you recall back n 2003 when Mark Zuckerberg made his name at Harvard by scraping the names and photos of fellow classmates off school servers to feed a system called FaceMash? Lovely-Faces.com seems to have learned from the best and decided to follow Mark’s footsteps by scraping 250,000 Facebook profiles!

The site categorizes unwitting volunteers into personality types, using a facial recognition algorithm, so you can search for someone in your general area who is “easy going,” “wild” or “sly.” Or you can just search on people’s real names. Read more at Wired.com

Hashable: Tracking Personal & Professional Social Interactions

Hashable in Beta

Only a few hours ago, Mashable rolled out the carpet to a new startup aiming to simplify and track personal and professional social interactions: Hashable.

As we understood it, Hashable links your social media accounts through hashtags. “It helps you document real-world connections with friends and professional contacts by using hashtags to describe interactions. Hashable tracks actions, connections, salutations, props and any other type of hashtag you can dream up.” ~ Mashable

Some Features of Hashable:

  • A Hashable user can introduce any two Twitter users or e-mail contacts using the “Make an #intro” feature. Hashable publicly (or privately) notifies both parties via Twitter or e-mail and follows up to verify a connection was made.
  • The “Post a connection” feature lets you specify a hashtag and the e-mail addresses or Twitter names of the people you have connected with offline. With this feature, you can use the system to quickly document all types of exchanges with hashtags such as #justmet, #meeting, #breakfast, #lunch, #dinner, #drinks, #coffee, #tennis and #thanks.
  • Hashable also supports Twitter and e-mail and will soon support iPhone-app connections. The service employs game mechanics to inspire user engagement, rewarding users with points in the form of “Hashcred” for making introductions and receiving connections; super users are highlighted on the “top connectors” leader boards.

Hashable’s ultimate aim is to create a new data set around person-to-person interactions.”

Things to Think About:

After reading this post on Mashable, 2 things came to mind:

  1. How come Mashable does not mind that Hashable sounds exactly like it in a way that is so confusing and annoying at the same time! To me, they sound like brother and sister: Hashable and Mashable.
  2. How come none of those who read the post on Mashable understood how Hashable really works?

Thank you for being good listeners (or readers in this case) :)

Looking forward to your comments, feedback and insights in the comment section below…

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