News / Headlines / Comeback / Teaser / Music Video

'Gangnam Style' Psy Enthuses 80,000 Fans at Concert in Seoul

By Staff Reporter | October 04, 2012 10:56 AM EDT


Psy held an almost 2 hour performance of his hit songs at the Seoul City Plaza today at 10 PM (KST). He sang a total of 14 songs (15, counting his encore performance of "Gangnam Style").

Fans were waiting to see this performance since around 4 PM today.

Psy expressed his gratitude to the fans who supported and forgave him for his past actions.

Although he did not make it to number 1 on Billboard this week, he still performed this free concert for his fans who stood by him.

Whether they were young or old, fans from all over the world gathered to see Psy perform live.

Around 8,000 people were watching live on Youtube and around 12,000 on UStream for a total of around 20,000 people watching online.

Psy's Passionate Performance with 80,000 Fans at Seoul City Hall [PHOTOS]

Psy's family including his father, his wife and his twin daughters also attended to support Psy.

He started his song with the national anthem of Korea to show his pride and respect.

Fans shouted and sang along to his hit songs as Psy gave it his all on stage with his powerful stage performance.

Psy sang an encore of his famous song, "Gangnam Style" as his very last song as this was the song that made him become a global star.

He gave the first part of "Gangnam Style" for the fans to sing as he would take the second part.

Tagged :  Psy, Gangnam Style, seoul


Headlines 08.29.18 | 01:48AM EDT

First Ever K-Expo 2018 to Bring ASTRO, The Rose, A.C.E. and L of INFINITE

With an already jam-packed weekend, end September with a bang with an event hosted by All That Korea and DramaFever.

09.02.18 | 07:09PM EDT

Hottest Girl Group Red Velvet To Hold First Solo Concert in Singapore This October

Hottest Girl Group Red Velvet To Hold First Solo Concert in Singapore This October

See Now: BTS: 41 Fun Facts You Must Know About The Most Successful Kpop Boy Band (Bangtan Sonyeondan)

Real Time Analytics