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NRJ Music Awards gets Twitter treatment from ionoco

15 December 2014
NRJ Music Awards gets Twitter treatment from ionoco

ionoco helped introduced Twitter integration to the NRJ Music Awards in France. The partnership was chosen by French broadcaster TF1 to bring maximum Twitter interactivity to the awards show, which is held every year in Cannes.

Outside the Palais des Festival where the ceremony was held, a giant screen posted live infographics on the digital activity created around the event such as trending hashtags, number of tweets and related images. Throughout the NRJ Music Awards ceremony, the presenter Nikos Aliagas read out the best tweets of the night. The most popular stars and performances in terms of number and quality of tweets also appeared on a giant leader board screen on stage.

“Our social-media tool has been used with great success on a number of primetime shows in the US, the Middle East and, now, Europe,” commented Simon Ingram, CEO of ionoco. “It’s a massive honour to be asked to work with TF1 on a show as popular and prestigious as the NRJ Music Awards. It will also be an opportunity for us to demonstrate the editorial and commercial advantages to be harnessed from taking ownership of the conversation happening around such events. We believe this will be the first of many great television projects with Twitter at their heart.”

The ionoco system provided a web-based aggregation and moderation function that enabled it to pull down Tweets related either to the awards show or the featured bands. These were used in a range of feeds, pushed through to producer consoles for publishing to air.

The Tweets were used live on set throughout the performances, fed through to LED screens featuring Tweet walls, live Tweets and leader boards. These automatically calculate the total number of Tweets posted for each band, along with the rate at which they were generated during the performances. Individual metrics on the 20 live acts could be accessed at any time and used in conjunction with the actual Tweets to adapt editorial content based on the input from Twitter.

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