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Song et al. review the literature on tourist behaviour during the COVID-19 pandemic and characterize the types of changes that occurred and whether they are likely to persist.
Language reveals clues to human emotions, social behaviours, thinking styles and cultures. This Review provides a brief overview of computational methods to analyse natural language from written or spoken text as a new tool to investigate social processes and understand human behaviour.
In this Review, Drew Bailey et al. present an accessible, non-technical overview of key challenges for causal inference in studies of human behaviour as well as methodological solutions to these challenges.
Recent advances in imaging reveal that birth is a punctuate event in the development of brain and behaviour, which begins in the womb and continues in infancy. Meredith Weiss et al. review our understanding of this developmental trajectory based on current knowledge.
Kozyreva et al. review evidence from individual-level interventions for fighting online misinformation featured in 81 scientific papers. They classify the interventions in nine different types and summarize their findings in a toolbox.
Aguinis et al. review the literature on corporate social responsibility (CSR) at the individual level of analysis and propose a framework for organizing research around three categories: CSR perceptions, CSR attitudes and CSR actions.
The authors address the central criticism of latent variable models in behavioural science, which is that a wide range of causal models may account for the observed data (the factor indeterminacy problem). They review how researchers have recently started using genome-wide data to provide a source of additional information to help to overcome the factor indeterminacy problem by decomposing the genome into a set of uncorrelated units.