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A social information processing perspective on social connectedness.

Grit Hein1, Lynn Huestegge2, Anne Böckler-Raettig2

  • 1Department of Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Julius Maximilians University of Würzburg, Germany.

Neuroscience and Biobehavioral Reviews
|November 16, 2024
PubMed
Summary
This summary is machine-generated.

Social connectedness (SC) significantly impacts health. This study proposes a new model linking individual social information processing to SC, offering testable hypotheses for future research on social connection.

Keywords:
Information processingSocial actionSocial connectednessSocial motivationSocial perception

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Area of Science:

  • Psychology
  • Neuroscience
  • Social Sciences

Background:

  • Social connectedness (SC) is a key predictor of physical and mental health.
  • Existing research highlights SC's multidimensionality and contributing factors.
  • A unified model explaining SC subcomponents is currently lacking.

Purpose of the Study:

  • To propose a novel model explaining individual differences in SC.
  • To investigate if a social information processing profile underlies SC.
  • To link social information processing stages to SC aspects.

Main Methods:

  • Literature review of SC, social perception, mentalizing, social motivation, and social action.
  • Development of a working model integrating social information processing with SC.
  • Derivation of testable hypotheses based on the proposed model.

Main Results:

  • Individual differences in SC may be explained by social information processing profiles.
  • A model is presented linking social information processing to structural, functional, and qualitative aspects of SC.
  • The model provides a framework for future research into the foundations of SC.

Conclusions:

  • A novel perspective on SC is offered through the lens of social information processing.
  • The proposed model facilitates the generation of testable hypotheses for empirical investigation.
  • Future research directions are outlined to explore the multifaceted nature of social connectedness.