Potential Factors of Online Victimization of Youth: An Examination of Adolescent Online Behaviors Utilizing Routine Activity Theory

By Catherine D. Marcum, George E. Higgins, Melissa L. Ricketts. 2010

201 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/b0ea0860efd3a5cd2517aa407fbba651128058ae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

In Sociology and Political Science

Citations in the corpus

Reducing Harm From Media: A Meta-Analysis of Parental Mediation (2019, background): “Many studies have also suggested that restrictive mediation is effective in buffering against negative media influences on children (Lee & Chae, 2012; Livingstone & Helsper, 2008; Marcum et al., 2010; J. N. Navarro & Jasinski, 2012; Wolak et al., 2008).”
Applying Routine Activity Theory to Cybercrime: A Theoretical and Empirical Analysis (2016, background): “Marcum et al. (2010) studied victimization by three types of offenses among 744 freshmen students: unwanted sexually explicit material, unwanted non-sexual harassment and unwanted sexual solicitation.”
Online Routines and Identity Theft Victimization (2013, background): “A growing body of research has investigated the role of online routine activities in explaining online forms of victimization (e.g., Choi 2008; Holt and Bossler 2009; Holtfreter et al. 2008; Marcum et al. 2010; Pratt et al. 2010).”
Being Pursued Online (2011, background): “…speculated as to the applicability of the theory, others have taken for granted the theoretical premise of an intersection in time and space and assumed that the theory should apply to cybercrimes without explaining why it should apply (e.g., Marcum, 2009; Marcum et al., 2010; Pratt et al., 2010).”
Predicting Online Harassment Victimization Among a Juvenile Population (2012, background): “Thus, more distinctive measures may improve our understanding of the impact of computer locations on both victimization and offending (Marcum et al., 2010).”