EVENT TICKETS
ALL TICKETS >
Chand Raat Mela | Richie
Regular Events
Chand Raat Mela - Family Event Presented by AZ Desi Girls. Buy your tickets NOW!! Ticket includes: Concert, Food, Drinks, Dessert and HENNA. Date: Friday, June 14th (6pm-10pm)

Shankar Ehsaan Loy - Live in Phoenix June 30th
Regular Events
Attention, Phoenix music lovers! Get ready for an electrifying concert experience like no other! Shankar Ehsaan Loy is coming LIVE to Phoenix, and tickets are now officially on

'Grin' emoji wins millions of hearts globallyNew York, Jan 11 (AZINS) Except the romantic French who prefer 'heart' emoji, people worldwide love the 'grin' emoji the most, reveals new research that looked at 427 million messages from nearly four million smartphone users in 212 countries.

'Grin' is the most popular emoji, comprising 15.4 per cent of the total symbols in the study, followed by 'heart' and 'love' emojis.

Using a popular method app, "Kika Emoji Keyboard", available in 60 languages, researchers from University of Michigan analysed millions of messages to see if emoji use was universal or differed based on user location and culture.

"Emojis are everywhere. They are becoming the ubiquitous language that bridges everyone across different cultures," said Wei Ai, doctoral student at University of Michigan.

Twenty per cent of messages of French include at least one symbol, followed by Russians and Americans.

"Countries with high levels of individualism use more happy emojis. Countries where ties between individuals are integrated and tight use more emojis expressing sadness, anger and negative feelings," the findings showed.

As French are perceived romantic, they mostly use "heart" emojis while people from other countries prefer face-related emojis.

"Our report shows that users from different countries can have various preferences to use emojis. The rank of emojis shown in the input methods should be country-aware to users," said associate professor Qiaozhu Mei.

The research, presented at Ubicomp conference 2016 in Germany recently, input methods could be developed to suggest relevant "next-to-use" emojis to users.