TY - GEN
T1 - "blissfully happy" or "ready to fight"
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
AU - Miller, Hannah
AU - Thebault-Spieker, Jacob
AU - Chang, Shuo
AU - Johnson, Isaac
AU - Terveen, Loren
AU - Hecht, Brent
PY - 2016
Y1 - 2016
N2 - Emoji are commonly used in modern text communication. However, as graphics with nuanced details, emoji may be open to interpretation. Emoji also render differently on different viewing platforms (e.g., Apple's iPhone vs. Google's Nexus phone), potentially leading to communication errors. We explore whether emoji renderings or differences across platforms give rise to diverse interpretations of emoji. Through an online survey, we solicit people's interpretations of a sample of the most popular emoji characters, each rendered for multiple platforms. Both in terms of sentiment and semantics, we analyze the variance in interpretation of the emoji, quantifying which emoji are most (and least) likely to be misinterpreted. In case in which participants rated the same emoji rendering, they disagreed on whether the sentiment was positive, neutral, or negetive 25% of the time. When cosidering renderings across platforms, these disagreements only increase. Overall, we find significant potential for miscommunication, both for individual emoji renderings and for different emoji renderings across platforms.
AB - Emoji are commonly used in modern text communication. However, as graphics with nuanced details, emoji may be open to interpretation. Emoji also render differently on different viewing platforms (e.g., Apple's iPhone vs. Google's Nexus phone), potentially leading to communication errors. We explore whether emoji renderings or differences across platforms give rise to diverse interpretations of emoji. Through an online survey, we solicit people's interpretations of a sample of the most popular emoji characters, each rendered for multiple platforms. Both in terms of sentiment and semantics, we analyze the variance in interpretation of the emoji, quantifying which emoji are most (and least) likely to be misinterpreted. In case in which participants rated the same emoji rendering, they disagreed on whether the sentiment was positive, neutral, or negetive 25% of the time. When cosidering renderings across platforms, these disagreements only increase. Overall, we find significant potential for miscommunication, both for individual emoji renderings and for different emoji renderings across platforms.
UR - http://www.scopus.com/inward/record.url?scp=84979503699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979503699&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979503699
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 259
EP - 268
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI press
Y2 - 17 May 2016 through 20 May 2016
ER -