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This paper aims to understand loneliness with a special focus on perceived loneliness using a multifaceted approach.Design/methodology/approachTo the best of the author’s knowledge, this appears to be the first paper dedicated to investigating the perception of loneliness as its primary topic. Unfortunately, not much work is available on this specific focus. However, various facets and dimensions can be integrated to gain a better understanding. Therefore, the author has carefully selected four sections, each focusing on different aspects of loneliness. These sections can contribute to a better understanding of loneliness, keeping in mind its perception.FindingsSection one examines the cognitive processes and self-assessment mechanisms that set lonely individuals apart from their non-lonely counterparts. These include heightened awareness, negative social cue interpretation and increased sensitivity to social threats. Section two examines the predictors of loneliness and associated emotional responses. This includes factors such as emotional responses, attributions, duration and situational variables. Section three challenges conventional definitions of loneliness by introducing social asymmetry. Within this framework, personality traits such as extraversion emerge as resilient against loneliness, even in social isolation. Section four discusses the significant influence of cultural diversity on perceptions of loneliness. Collectivist cultures rely on familial and community support to combat loneliness, whereas individualistic cultures require interventions that promote independence.Originality/valueThis comprehensive examination contributes insights for informing targeted interventions, reinforcing support systems and enhancing our understanding of human connectivity in an increasingly isolated world.
Mental Health and Social Inclusion – Emerald Publishing
Published: Dec 3, 2024
Keywords: Perceived loneliness; Multifaceted exploration; Social interaction patterns; Predictors and responses; Social asymmetry; Cultural variability
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