Embeddedness and empathy: How the social network shapes adolescents' social understanding

Wölfer, Ralf; Cortina, Kai S.; Baumert, Jürgen

doi:10.1016/j.adolescence.2012.04.015

Cited by 51 publications

(57 citation statements)

References 45 publications

(51 reference statements)

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“…In particular, we find a consistent relationship between structural holes and empathy. While Wölfer et al [21] report that in face to face networks between adolescents in classrooms those who are more central show higher empathy, we find similarly that the extent of structural holes is significantly related to empathy in more general online social networks of adults. The largescale automated analysis available with online social networks make this an important opportunity for population-level analysis of this trait.…”

Section: A Understanding Empathysupporting

confidence: 62%

“…Empathy is known to be consistently related with prosocial activities [21]. Thus individuals with higher empathy are more disposed to help others in the network, and participate in overall community building.…”

Section: B Informing Designmentioning

confidence: 99%

“…There are two possible ways this can happen. First empathic individuals, by nature of inclination towards prosocial activities [21], increase the overall social capital of the community of ties around them, thus indirectly affecting their own social capital. Second, such individuals are likely to receive direct reciprocity [10] for their support, and thus experience higher social capital.…”

Section: A Understanding Empathymentioning

confidence: 99%

“…Empathic individuals are, by definition, likely to better understand others' needs and distress, and are thus likely to provide social support [21]. As a consequence of social reciprocity [10], empathic individuals are thus more likely to receive help from others.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, Wölfer et al [21] recently showed that empathy is mirrored in the structure of social ties among adolescents in German schools, as recorded through face-to-face interactions.…”

Section: Introductionmentioning

confidence: 99%

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A network science approach to modelling and predicting empathy

Venkatanathan

Karapanos

Kostakos

et al. 2013

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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-In this paper we adopt a network science approach to investigate empathy and its implications for online social networks. We demonstrate that empathy is closely linked to social capital -the findings suggest that individuals higher on cognitive empathic skill are overall likely to report both higher bridging and higher bonding social capital. On the other hand, attributes of network structure around the individual, quantified through networks analysis metrics, were related to cognitive empathy. Further, an examination of the interplay between network structure, social capital and empathy suggests that empathy facilitates the relation between network structure and social capital previously reported in literature. We discuss the implications of our findings for the understanding of empathy in the context of online social networks and for the design of these systems.

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Section: A Understanding Empathysupporting

confidence: 62%

Section: B Informing Designmentioning

confidence: 99%

Section: A Understanding Empathymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A network science approach to modelling and predicting empathy

Venkatanathan

Karapanos

Kostakos

et al. 2013

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Feeling cybervictims’ pain—The effect of empathy training on cyberbullying

Schultze-Krumbholz

Schultze

Zagorscak

et al. 2015

Aggressive Behavior

Self Cite

118

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As the world's population increasingly relies on the use of modern technology, cyberbullying becomes an omnipresent risk for children and adolescents and demands counteraction to prevent negative (online) experiences. The classroom-based German preventive intervention "Medienhelden" (engl.: "Media Heroes") builds on previous knowledge about links between cognitive empathy, affective empathy, and cyberbullying, among others. For an evaluation study, longitudinal data were available from 722 high school students aged 11-17 years (M = 13.36, SD = 1.00, 51.8% female) before and six months after the implementation of the program. A 10-week version and a 1-day version were conducted and compared with a control group (controlled pre-long-term-follow-up study). Schools were asked to randomly assign their participating classes to the intervention conditions. Multi-group structural equation modeling (SEM) showed a significant effect of the short intervention on cognitive empathy and significant effects of the long intervention on affective empathy and cyberbullying reduction. The results suggest the long-term intervention to be more effective in reducing cyberbullying and promoting affective empathy. Without any intervention, cyberbullying increased and affective empathy decreased across the study period. Empathy change was not generally directly linked to change in cyberbullying behavior. "Media Heroes" provides effective teaching materials and empowers schools to address the important topic of cyberbullying in classroom settings without costly support from the outside.

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Perceived social support in adults with autism spectrum disorder and attention‐deficit/hyperactivity disorder

et al. 2017

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Perceived social support (PSS) has been related to physical and mental well-being in typically developing individuals, but systematic characterizations of PSS in autism spectrum disorder (ASD) are limited. We compared self-report ratings of the multidimensional scale of PSS (MSPSS) among age- and IQ-matched groups of adults (18-58 years) with cognitively high-functioning ASD (N = 41), or attention-deficit/hyperactivity disorder (ADHD; N = 69), and neurotypical controls (NC; N = 69). Accompanying group comparisons, we used machine learning random forest (RF) analyses to explore predictors among a range of psychopathological and socio-emotional variables. Relative to both ADHD and NC, adults with ASD showed lower MSPSS ratings, specifically for the friends subscale (MSPSS-f). Across ASD and ADHD, interindividual differences in autism severity, affective empathy, symptoms of anxiety related to social interactions, hyperactivity/impulsivity, and somatization best predicted MSPSS-f. These relationships did not differ between clinical groups. While group comparisons demonstrated greater impairment in individuals with ASD, analyzing individuals' characteristics revealed cross-diagnoses similarities in regard to their MSPSS-f relationships. This is consistent with the Research Domain Criteria framework, supporting a trans-diagnostic approach as on the path toward "precision medicine." Autism Res 2017, 10: 866-877. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.

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Embeddedness and empathy: How the social network shapes adolescents' social understanding

Cited by 51 publications

References 45 publications

A network science approach to modelling and predicting empathy

A network science approach to modelling and predicting empathy

Feeling cybervictims’ pain—The effect of empathy training on cyberbullying

Perceived social support in adults with autism spectrum disorder and attention‐deficit/hyperactivity disorder

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