Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities
Congning Ni, Qingxia Chen, Lijun Song, Patricia Commiskey, Qingyuan, Song, Bradley A. Malin, Zhijun Yin

TL;DR
This study analyzes interaction patterns in Alzheimer's caregiver online communities, revealing that active engagement by topic initiators and emotional content significantly boost overall participation and community sustainability.
Contribution
It uncovers how topic initiator activity and linguistic features influence engagement dynamics, offering insights to improve online support platforms for caregivers.
Findings
Active initiator engagement increases comment volume
Reciprocal replies from initiators encourage further comments
Emotional and practical topics attract different engagement patterns
Abstract
Informal caregivers (e.g.,family members or friends) of people living with Alzheimers Disease and Related Dementias (ADRD) face substantial challenges and often seek informational or emotional support through online communities. Understanding the factors that drive engagement within these platforms is crucial, as it can enhance their long-term value for caregivers by ensuring that these communities effectively meet their needs. This study investigated the user interaction dynamics within two large, popular ADRD communities, TalkingPoint and ALZConnected, focusing on topic initiator engagement, initial post content, and the linguistic patterns of comments at the thread level. Using analytical methods such as propensity score matching, topic modeling, and predictive modeling, we found that active topic initiator engagement drives higher comment volumes, and reciprocal replies from topic…
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Taxonomy
TopicsSocial Media and Politics · Knowledge Management and Sharing
