TY - GEN
T1 - Characterizing Dementia Caregivers’ Information Exchange on Social Media
T2 - 16th International Conference on Diversity, Divergence, Dialogue, iConference 2021
AU - Wang, Zhendong
AU - Zou, Ning
AU - Xie, Bo
AU - Luo, Zhimeng
AU - He, Daqing
AU - Hilsabeck, Robin C.
AU - Aguirre, Alyssa
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Social media platforms have introduced new opportunities for supporting family caregivers of persons with Alzheimer’s disease and related dementias (ADRD). Existing methods for exploring online information seeking and sharing (i.e., information exchange) involve examining online posts via manual analysis by human experts or fully automated data-driven exploration through text classification. Both methods have limitations. In this paper, we propose an innovative expert–machine co-development (EMC) process that enables rich interactions and co-learning between human experts and automatic algorithms. By applying the EMC in analyzing ADRD caregivers’ online behaviors, we illustrate steps required by the EMC, and demonstrate its effectiveness in enhancing human experts’ representations of ADRD caregivers’ online information exchange and developing more accurate automatic classification models for ADRD caregivers’ information exchange.
AB - Social media platforms have introduced new opportunities for supporting family caregivers of persons with Alzheimer’s disease and related dementias (ADRD). Existing methods for exploring online information seeking and sharing (i.e., information exchange) involve examining online posts via manual analysis by human experts or fully automated data-driven exploration through text classification. Both methods have limitations. In this paper, we propose an innovative expert–machine co-development (EMC) process that enables rich interactions and co-learning between human experts and automatic algorithms. By applying the EMC in analyzing ADRD caregivers’ online behaviors, we illustrate steps required by the EMC, and demonstrate its effectiveness in enhancing human experts’ representations of ADRD caregivers’ online information exchange and developing more accurate automatic classification models for ADRD caregivers’ information exchange.
KW - Alzheimer’s disease and related dementias (ADRD) caregiving
KW - Expert-Machine Co-development (EMC)
KW - Interactive learning
KW - Online information exchange
KW - Social media analysis
UR - https://www.scopus.com/pages/publications/85104842371
UR - https://www.scopus.com/pages/publications/85104842371#tab=citedBy
U2 - 10.1007/978-3-030-71292-1_6
DO - 10.1007/978-3-030-71292-1_6
M3 - Conference contribution
AN - SCOPUS:85104842371
SN - 9783030712914
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 47
EP - 67
BT - Diversity, Divergence, Dialogue - 16th International Conference, iConference 2021, Proceedings
A2 - Toeppe, Katharina
A2 - Yan, Hui
A2 - Chu, Samuel Kai
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 17 March 2021 through 31 March 2021
ER -