News / Buzz / SNS

'FUSE' Features Girls' Generation Tiffany In '30 Artists That Make Our Hearts Pound'

By Staff Writer | February 17, 2013 04:21 PM EST

g
i (Photo : r)
l
s (Photo : g)
e
n (Photo : e)
r
a (Photo : tion)

Website 'FUSE' featured Girls' Generation Tiffany in the survey of '30 Artists That Make Our Hearts Pound' in times for Valentine's Day.

Featured as the 6th artist, description of Tiffany reads "A lot of the world might think Yoona is the most lovable member of Girls' Generation and we couldn't be happier- less people we'll have to fight for Tiffany!"

Like Us on Facebook

So what do you guys think of this ranking?

Featured Video : KIM JAEJOONG LAST DRAMA

Tagged :  Girls Generation, SNSD, Tiffany

Featured

Breaking News 09.30.14 | 06:47AM EDT

SM Entertainment Confirms Jessica's Withdrawal From Girls' Generation

One of K-Pop's longest-running acts with no changes to its line-up won't be able to boast that distinction for much longer after Jessica and SM Entertainment announced the singer will soon be leaving the group.

Issues 09.30.14 | 10:51AM EDT

Even Girls' Generation Cannot Avoid The '2nd Generation' Girl Group Curse

In 2007, Girls' Generation debuted along with Wonder Girls and KARA. These groups were the next generation of girl groups for K-Pop after the 1st generation groups such as S.E.S and Fink.L.

Remarkable Event 09.29.14 | 06:38AM EDT

2014 Hallyu Dream Festival Excites International K-Pop Fans Both In Person And Through Social Media

Social media has always been a driving force to connect international K-Pop fans and Dream Festival attendees are uploading highlights from this year's Festival to share with others around the world.

Buzz 09.29.14 | 12:19AM EDT

5 B1A4 Songs US Fans Should Know Before The 'Road Trip In The USA' Tour

As B1A4 prepares to tour the US, fans should also prepare to see them live by listening to and familiarizing themselves with the group's best songs

KpopStarz Is Looking For Enthusiastic Entertainment Contributors Reach Millions On The Web.
Real Time Analytics