TY - JOUR
T1 - What I See is What You Don’t Get
T2 - The effects of (not) seeing emoji rendering differences across platforms
AU - Hillberg, Hannah Miller
AU - Levonian, Zachary
AU - Kluver, Daniel
AU - Terveen, Loren
AU - Hecht, Brent
N1 - Publisher Copyright:
Copyright © ACM 2018.
PY - 2018/11
Y1 - 2018/11
N2 - Emoji are popular in digital communication, but they are rendered differently on different viewing platforms (e.g., iOS, Android). It is unknown how many people are aware that emoji have multiple renderings, or whether they would change their emoji-bearing messages if they could see how these messages render on recipients’ devices. We developed software to expose the multi-rendering nature of emoji and explored whether this increased visibility would affect how people communicate with emoji. Through a survey of 710 Twitter users who recently posted an emoji-bearing tweet, we found that at least 25% of respondents were unaware that the emoji they posted could appear differently to their followers. Additionally, after being shown how one of their tweets rendered across platforms, 20% of respondents reported that they would have edited or not sent the tweet. These statistics reflect millions of potentially regretful tweets shared per day because people cannot see emoji rendering differences across platforms. Our results motivate the development of tools that increase the visibility of emoji rendering differences across platforms, and we contribute our cross-platform emoji rendering software1 to facilitate this effort.
AB - Emoji are popular in digital communication, but they are rendered differently on different viewing platforms (e.g., iOS, Android). It is unknown how many people are aware that emoji have multiple renderings, or whether they would change their emoji-bearing messages if they could see how these messages render on recipients’ devices. We developed software to expose the multi-rendering nature of emoji and explored whether this increased visibility would affect how people communicate with emoji. Through a survey of 710 Twitter users who recently posted an emoji-bearing tweet, we found that at least 25% of respondents were unaware that the emoji they posted could appear differently to their followers. Additionally, after being shown how one of their tweets rendered across platforms, 20% of respondents reported that they would have edited or not sent the tweet. These statistics reflect millions of potentially regretful tweets shared per day because people cannot see emoji rendering differences across platforms. Our results motivate the development of tools that increase the visibility of emoji rendering differences across platforms, and we contribute our cross-platform emoji rendering software1 to facilitate this effort.
KW - Computer-mediated communication
KW - Cross-platform
KW - Emoji
KW - Invisibility of system status
KW - Rendering
UR - http://www.scopus.com/inward/record.url?scp=85066421882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066421882&partnerID=8YFLogxK
U2 - 10.1145/3274393
DO - 10.1145/3274393
M3 - Article
AN - SCOPUS:85066421882
SN - 2573-0142
VL - 2
JO - Proceedings of the ACM on Human-Computer Interaction
JF - Proceedings of the ACM on Human-Computer Interaction
IS - CSCW
M1 - 124
ER -