Facewash: To Wash Face of Facebook Profile

Developers have developed a new app that can help Facebook users to clean up vulgar or embarrassing pages from their profile . The “Facewash” app developed by researchers from Kent State University will search through a user’s Facebook activity and content for items that the user may want to hide or delete.

That includes status updates, photo captions, and comments users left or received as well as pages and links that were liked.

To use Facewash user need to do following tasks :-
1. Go to http://facewa.sh/login
2. Click get started
3. Log on to their facebook account.
4. Then give the app permission.

5.The user will be prompted to click “Go to App”
6. Search for a term & app will start tracing user’s profile to search that.
7. If Facewash finds a match then it will link the posts so that users can easliy remove them.

Facewash is still in beta phase so users may encounter minor glitches for some time.

“The recently launched app has already received more than 20,000 unique visitors,” Gur said.

The team is hoping to keep expanding Facewash and keep adding features to it. Gur said the team wants to make Facewash capable of looking for content in other languages so more people can use it.

“This is your face on the Internet, and you might need to wash it,” Gur added.

“We realised that there’s a lot of content that perhaps someone might not want a future employer to see,” researcher Daniel Gur.

Over the course of the weekend, Steinberg, alongside collaborators Daniel Gur and Camden Fullmer, programmed an app that searches text on Facebook allowing users to find and delete posts, captions and links from their profiles that could appear unprofessional.

“On Saturday evening, we were ready to throw the project away,” said Fullmer. “But by Sunday, we were excited to see the positive feedback.”

“We wanted to give Facebook users a choice to control what potential employers might see,” David Steinberg, one of the app developer.

At present, FaceWash is limited to text searches only, if user is looking for photos, the app will only find them through comments and descriptions. Steinberg said “image and object recognition is something the team is working on, as well as the ability to search in multiple languages.”

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