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• W4366127909 abstract "Adverse childhood experiences (ACEs), which include abuse and neglect and various household challenges such as exposure to intimate partner violence and substance use in the home, can have negative impacts on the lifelong health of affected individuals. Among various strategies for mitigating the adverse effects of ACEs is to enhance connectedness and social support for those who have experienced them. However, how the social networks of those who experienced ACEs differ from the social networks of those who did not is poorly understood.In this study, we used Reddit and Twitter data to investigate and compare social networks between individuals with and without ACE exposure.We first used a neural network classifier to identify the presence or absence of public ACE disclosures in social media posts. We then analyzed egocentric social networks comparing individuals with self-reported ACEs with those with no reported history.We found that, although individuals reporting ACEs had fewer total followers in web-based social networks, they had higher reciprocity in following behavior (ie, mutual following with other users), a higher tendency to follow and be followed by other individuals with ACEs, and a higher tendency to follow back individuals with ACEs rather than individuals without ACEs.These results imply that individuals with ACEs may try to actively connect with others who have similar previous traumatic experiences as a positive connection and coping strategy. Supportive interpersonal connections on the web for individuals with ACEs appear to be a prevalent behavior and may be a way to enhance social connectedness and resilience in those who have experienced ACEs." @default.
• W4366127909 created "2023-04-19" @default.
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• W4366127909 date "2023-05-30" @default.
• W4366127909 modified "2023-09-26" @default.
• W4366127909 title "Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study" @default.
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• W4366127909 doi "https://doi.org/10.2196/45171" @default.
• W4366127909 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37252791" @default.
• W4366127909 hasPublicationYear "2023" @default.
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