TY - GEN
T1 - What life events are disclosed on social media, how, when, and by whom?
AU - Saha, Koustuv
AU - Seybolt, Jordyn
AU - Mattingly, Stephen M.
N1 - Funding Information:
This research is supported in part by the Ofce of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA Contract No. 2017-17042800007. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the of-cial policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. We thank the entire Tesserae team, Sarah Yoo, Yujia Gao, and Shrija Mishra for contributing to this work. We also thank Dong Whi Yoo, Qiaosi Wang, and the members of the Social Dynamics and Wellbeing Lab for feedback.
Publisher Copyright:
© 2021 ACM.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - Social media platforms continue to evolve as archival platforms, where important milestones in an individual's life are socially disclosed for support, solidarity, maintaining and gaining social capital, or to meet therapeutic needs. However, a limited understanding of how and what life events are disclosed (or not) prevents designing platforms to be sensitive to life events.We ask what life events individuals disclose on a 256 participants' year-long Facebook dataset of 14K posts against their self-reported life events. We contribute a codebook to identify life event disclosures and build regression models on factors explaining life events' disclosures. Positive and anticipated events are more likely, whereas signifcant, recent, and intimate events are less likely to be disclosed on social media. While all life events may not be disclosed, online disclosures can refect complementary information to self-reports. Our work bears practical and platform design implications in providing support and sensitivity to life events.
AB - Social media platforms continue to evolve as archival platforms, where important milestones in an individual's life are socially disclosed for support, solidarity, maintaining and gaining social capital, or to meet therapeutic needs. However, a limited understanding of how and what life events are disclosed (or not) prevents designing platforms to be sensitive to life events.We ask what life events individuals disclose on a 256 participants' year-long Facebook dataset of 14K posts against their self-reported life events. We contribute a codebook to identify life event disclosures and build regression models on factors explaining life events' disclosures. Positive and anticipated events are more likely, whereas signifcant, recent, and intimate events are less likely to be disclosed on social media. While all life events may not be disclosed, online disclosures can refect complementary information to self-reports. Our work bears practical and platform design implications in providing support and sensitivity to life events.
KW - Audience
KW - Individual diferences
KW - Language
KW - Life events
KW - Self-disclosure
KW - Self-reports
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85106763887&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85106763887&partnerID=8YFLogxK
U2 - 10.1145/3411764.3445405
DO - 10.1145/3411764.3445405
M3 - Conference contribution
AN - SCOPUS:85106763887
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021
Y2 - 8 May 2021 through 13 May 2021
ER -