TY - GEN
T1 - OPICO
T2 - 2019 World Wide Web Conference, WWW 2019
AU - Khandekar, Sujay
AU - Ryu, Chae Won
AU - Higgs, Joseph
AU - Talton, Jerry O.
AU - Bian, Yuanzhe
AU - Kumar, Ranjitha
PY - 2019/5/13
Y1 - 2019/5/13
N2 - In the last two decades, Emoji have become a mainstay of digital communication, allowing ordinary people to convey ideas, concepts, and emotions with just a few Unicode characters. While emoji are most often used to supplement text in digital communication, they comprise a powerful and expressive vocabulary in their own right. In this paper, we study the affordances of �emoji-first� communication, in which sequences of emoji are used to describe concepts without textual accompaniment. To investigate the properties of emoji-first communication, we built and released Opico, a social media mobile app that allows users to create reactions - sequences of between one and five emoji - and share them with a network of friends. We then leveraged Opico to collect a repository of more than 3700 emoji reactions from more than 1000 registered users, each tied to one of 2441 physical places. We describe the design and architecture of the Opico app, present a qualitative and quantitative analysis of Opico's reaction dataset, and discuss the implications of Emoji-first communication for future social platforms.
AB - In the last two decades, Emoji have become a mainstay of digital communication, allowing ordinary people to convey ideas, concepts, and emotions with just a few Unicode characters. While emoji are most often used to supplement text in digital communication, they comprise a powerful and expressive vocabulary in their own right. In this paper, we study the affordances of �emoji-first� communication, in which sequences of emoji are used to describe concepts without textual accompaniment. To investigate the properties of emoji-first communication, we built and released Opico, a social media mobile app that allows users to create reactions - sequences of between one and five emoji - and share them with a network of friends. We then leveraged Opico to collect a repository of more than 3700 emoji reactions from more than 1000 registered users, each tied to one of 2441 physical places. We describe the design and architecture of the Opico app, present a qualitative and quantitative analysis of Opico's reaction dataset, and discuss the implications of Emoji-first communication for future social platforms.
KW - Emoji
KW - Mobile app
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85066898754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066898754&partnerID=8YFLogxK
U2 - 10.1145/3308560.3316547
DO - 10.1145/3308560.3316547
M3 - Conference contribution
AN - SCOPUS:85066898754
T3 - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
SP - 450
EP - 458
BT - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
PB - Association for Computing Machinery, Inc
Y2 - 13 May 2019 through 17 May 2019
ER -