scholarly journals Applying Socio-Emotional Information Processing Theory to Explain Child Abuse Risk: Emerging Patterns from the COVID-19 Pandemic

2021 ◽  
Author(s):  
Christina Rodriguez ◽  
Shawna J. Lee ◽  
Kaitlin P. Ward

The COVID-19 pandemic has exerted profound effects on parents, which may translate into elevated child abuse risk. Prior literature demonstrates that Social Information Processing theory is a useful framework for understanding the cognitive processes that can contribute to parental abuse risk, but the model has not adequately integrated affective processes that may coincide with such cognitions. Given that parents are experiencing intense emotions during the pandemic, the current study sought to examine how socio-emotional processes might account for abuse risk during the pandemic (perceived pandemic-related increases in harsh parenting, reported physical and psychological aggression, and child abuse potential). A sample of 304 mothers participated in an online study, reporting on their abuse risk as well as a number of socio-emotional processes. Greater approval of physical discipline and weaker anger regulation abilities were directly or indirectly related to measures of abuse risk during the pandemic, with maternal justification to use parent-child aggression to ensure obedience consistently relating to all indicators of abuse risk during the pandemic. Socio-emotional processes that include anger appear particularly relevant during the heightened period of strain induced by the pandemic. By studying multiple factors simultaneously, the current findings can inform child abuse prevention efforts.

Societies ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Emmelyn A. J. Croes ◽  
Marjolijn L. Antheunis

This study examined which media people use on a day-to-day basis to communicate and whether tie strength influenced this media use. Furthermore, we analyzed whether online and offline interactions differ in perceived intimacy and whether tie strength impacts perceived interaction intimacy: 347 real interactions of 9 participants (3 male, 6 female) were analyzed; 172 online (WhatsApp, Facebook Messenger, email, SMS interactions) and 175 offline (recorded phone and face-to-face conversations). The results revealed that the participants communicated most frequently face-to-face or via WhatsApp, especially with strong ties. Furthermore, participants rated their interactions with strong ties as more intimate compared to weak-tie interactions. Our findings have implications for Social Information Processing theory, as our findings show that people are equally able to communicate intimate messages online and offline.


Author(s):  
Bolanle A. Olaniran ◽  
Natasha Rodriguez ◽  
Indi M. Williams

The Social Information Processing Theory (SIPT) proposes that given time and opportunity to interact, relationships between individuals can form in online environments. Although not an overt assumption of the SIPT, it is essential to understand how cultural factors are important components of any CMC interaction. The power of the SIPT lies within its ability to foster communication between individuals through communicative behavior that is valued by the other’s culture. Therefore, Social Information Processing has the potential to aid the development of trust between virtual team members, establishing group cohesion, and accentuating cross-communication within international work groups.


1968 ◽  
Vol 26 (2) ◽  
pp. 615-619 ◽  
Author(s):  
Russell Eisenman ◽  
Jerome J. Platt

Based on research in personality and creativity, it was predicted that Ss who preferred more complex polygons and who were high in experience (number of semester hours) in psychology courses would not be as likely to rate clinical psychology as a science, while Ss who preferred simpler polygons and had less experience in psychology courses would more likely rate clinical psychology as a science. Results obtained from 75 Ss supported this prediction and seem consistent with the cognitive-social information processing theory of Schroder, Driver, and Streufert (1967). Analysis of variance indicated that Complexity-Simplicity, Experience, and the Complexity-Simplicity × Experience interaction were statistically significant.


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