The neuroscience of social feelings: mechanisms of adaptive social functioning
Open accessAbstract
Social feelings have conceptual and empirical connections with affect and emotion. In this review, we discuss how they relate to cognition, emotion, behavior and well-being. We examine the functional neuroanatomy and neurobiology of social feelings and their role in adaptive social functioning. Existing neuroscience literature is reviewed to identify concepts, methods and challenges that might be addressed by social feelings research. Specific topic areas highlight the influence and modulation of social feelings on interpersonal affiliation, parent-child attachments, moral sentiments, interpersonal stressors, and emotional communication. Brain regions involved in social feelings were confirmed by meta-analysis using the Neurosynth platform for large-scale, automated synthesis of functional magnetic resonance imaging data. Words that relate specifically to social feelings were identfied as potential research variables. Topical inquiries into social media behaviors, loneliness, trauma, and social sensitivity, especially with recent physical distancing for guarding public and personal health, underscored the increasing importance of social feelings for affective and second person neuroscience research with implications for brain development, physical and mental health, and lifelong adaptive functioning.
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Connection and status motives strongly shape social interaction and interaction with algorithms on digital media.
“Connection and status motives also strongly shape social interaction and interaction with algorithms on digital media (Eslinger et al., 2021; Meshi et al., 2015).”
From Social Drivers and Algorithmic Mechanisms on Digital Media. (2024) · cites this paper as Eslinger et al., 2021
The Social media section says strong social motives fuel social-media use and describes rewards from connection, impression management, and feedback such as “Likes.” It therefore supports the connection motive and aspects of status-seeking, but it does not address interaction with algorithms on digital media or establish that these motives strongly shape such interaction. The indexed passages provide no page numbers. (LLM, conf=0.84)
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Social Drivers and Algorithmic Mechanisms on Digital Media.
Metzler, H., & Garcia, D. (2024) · Perspectives on Psychological Science · doi:10.1177/17456916231185057 · Cited by 204 · see citing works
“Connection and status motives also strongly shape social interaction and interaction with algorithms on digital media (Eslinger et al., 2021; Meshi et al., 2015).”
Background(n.d.) · Progress in Neuro-Psychopharmacology and Biological Psychiatry / PsyPost · doi:10.1016/j.pnpbp.2026.111679
- Authors
- Eslinger, P. J., Anders, S., Ballarini, T., Boutros, S., Krach, S., Mayer, A. V., Moll, J., Newton, T. L., Schroeter, M. L., de Oliveira-Souza, R., Raber, J., Sullivan, G. B., Swain, J. E., Lowe, L., & Zahn, R.
- Affiliations
- Pennsylvania State University (US)
- University of Lübeck (DE)
- Max Planck Institute for Human Cognitive and Brain Sciences (DE)
- Oregon Health & Science University (US)
- Social Neuroscience Lab (DE)
- D’Or Institute for Research and Education (BR)
- University of Louisville (US)
- University Hospital Leipzig (DE)
- International Psychoanalytic University Berlin (DE)
- Stony Brook University (US)
- King's College London (GB)
- Corresponding author
- Eslinger, Paul J.
- ORCID
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 128
- Pages
- 592-620
- ISSN
- 0149-7634 (ISSN-L)
- PMC
- PMC8388127
- OpenAlex
- W3168018703
- Cited by
- 130
- References
- 57
- Citations by year
- 2026: 22 · 2025: 35 · 2024: 28 · 2023: 27 · 2022: 17 · 2021: 1
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- Pure (Coventry University) (submittedVersion, cc-by-nc-nd)
- Funders
- National Science Foundation (GVPRS0014D9)
- German Research Foundation (SCHR 774/5-1)
- National Cancer Institute (R21 AG065914, R21 CA223461)
- National Institute on Aging
- National Aeronautics and Space Administration (NSCORNNX15AK13G, DoDW81XWH-17-1-0193, NNX15AK13G)
- University of South Carolina
- NIH
- National Institute of Environmental Health Sciences (R21 ES027943, RF1 AG059088, R01 AT009168-04S1, RO1 ES019672)
- U.S. Department of Defense (W81XWH-17-1-0193, R01 AT009168-04S1, R21 ES027943, RF1 AG059088)
- National Institute on Drug Abuse (R01 DA047094, R01 DA047336)
- Topics
- Social Sciences › Psychology › Social Psychology › Neuroendocrine regulation and behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- social emotions, social cognition, emotions, parent-child attachment, moral sentiments, interpersonal stress, emotional communication, social media behavior, loneliness, trauma, social sensitivity, social distancing, brain development, well-being
- MeSH terms
- Social Interaction, Cognition, Emotions, Humans, Neurosciences, Social Behavior
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