TY - GEN
T1 - Teens engage more with fewer photos
T2 - 27th ACM Conference on Hypertext and Social Media, HT 2016
AU - Jang, Jin Yea
AU - Han, Kyungsik
AU - Lee, Dongwon
AU - Jia, Haiyan
AU - Shih, Patrick C.
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/7/10
Y1 - 2016/7/10
N2 - Research has suggested that teens are more active and engaged than adults on social media. Most of such observations, however, have been made through the analysis of limited ethnographic or cross-sectional data. Using a temporally extended, large-scale dataset and comparative analyses to remedy this shortcoming, we examined how and why the age difference in the behaviors of users in Instagram might have occurred through the lenses of social cognition, developmental psychology, and human-computer interaction. We proposed two hypotheses - Teens as digital natives and the need for social interactions - As the theoretical framework for understanding the factors that help explain the behavioral differences. Our computational analysis identified the following novel findings: (1) teens post fewer photos than adults; (2) teens remove more photos based on the number of Likes the photos received; and (3) teens have less diverse photo content. Our analysis was also able to confirm prior ethnographic accounts that teens are more engaged in Liking and commenting, and express their emotions and social interests more than adults. We discussed theoretical and practical interpretations and implications as well as future research directions from the results.
AB - Research has suggested that teens are more active and engaged than adults on social media. Most of such observations, however, have been made through the analysis of limited ethnographic or cross-sectional data. Using a temporally extended, large-scale dataset and comparative analyses to remedy this shortcoming, we examined how and why the age difference in the behaviors of users in Instagram might have occurred through the lenses of social cognition, developmental psychology, and human-computer interaction. We proposed two hypotheses - Teens as digital natives and the need for social interactions - As the theoretical framework for understanding the factors that help explain the behavioral differences. Our computational analysis identified the following novel findings: (1) teens post fewer photos than adults; (2) teens remove more photos based on the number of Likes the photos received; and (3) teens have less diverse photo content. Our analysis was also able to confirm prior ethnographic accounts that teens are more engaged in Liking and commenting, and express their emotions and social interests more than adults. We discussed theoretical and practical interpretations and implications as well as future research directions from the results.
UR - http://www.scopus.com/inward/record.url?scp=84980349921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84980349921&partnerID=8YFLogxK
U2 - 10.1145/2914586.2914602
DO - 10.1145/2914586.2914602
M3 - Conference contribution
AN - SCOPUS:84980349921
T3 - HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media
SP - 71
EP - 81
BT - HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media
PB - Association for Computing Machinery, Inc
Y2 - 10 July 2016 through 13 July 2016
ER -