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From Network Positions to Language Use: Understanding the Effects of Brokerage and Closure Structures from a Linguistic Perspective.

Meng ChenRobert A BellGeorge A Barnett
Published in: Health communication (2020)
We investigated cancer survivors' interactions on an online breast cancer support forum, focusing on how the network structures of brokerage and closure relate to the types of support received and to the language used in posts. Data came through the extraction of 1,443 forum members' online networks. Automated linguistic analysis was carried out on the 27,248 threads these survivors made and the 336,151 replies they received. Survivors' brokerage and closure levels were positively correlated with the use of positive affective words in their posts, a linguistic marker of well-being. Different network positions fostered different types of support in the community. Specifically, people bridging unconnected users (the broker role) were more likely to receive informational support whereas people in closely knit groups (the closure role) were more likely to receive emotional support. Theoretical, methodological, and practical implications are examined.
Keyphrases
  • young adults
  • healthcare
  • social media
  • high throughput
  • big data
  • artificial intelligence
  • health information
  • single cell
  • breast cancer risk