Caught in the Net

By M. Berenbaum. 2001

352 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/efa21fb443a3212553c970375d81453daedf5c6c

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In Social Psychology

Citations in the corpus

Video Game Addiction: Past, Present and Future (2012, background): “associated with adjusting to new social obligations and/or living out-of-home for the first time [15, 55].”
Modification in the Proposed Diagnostic Criteria for Internet Addiction (2001, neutral): “10,25,29,34,35 By exploring these areas, a uniform set of criteria can be established for Internet addiction.”
Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? (2003, methodology): “Young (1998, 1999) synthesized the diagnostic criteria for psychoactive substance abuse dependency and pathological gambling (American Psychiatric Association, 1994) to define the Internet Addiction Disorder.”
A Psychometric Comparison of the Internet Addiction Test, the Internet-Related Problem Scale, and Self-Diagnosis (2011, positive): “When a basic scree test and eigenvalue > 1.0 criteria were used, three factors were generated from the IAT.”
The Role of Structural Characteristics in Problematic Video Game Play: An Empirical Study (2011, methodology): “Problematic Video Game Playing Test (PVGT) The PVGT is an adapted version of the Internet Addiction Test (IAT), a 20-item questionnaire designed by Young (1998) to”
Internet Over-Users' Psychological Profiles: A Behavior Sampling Analysis on Internet Addiction (2003, neutral): “16,17 Different from other bona fide addic-tions (e.g., alcohol, heroin addiction), internet addiction can be defined as an impulse-control disorder with no involvement of an intoxicant; therefore, it is akin to pathological gambling.”
Problematic mobile phone use in adolescence: a cross-sectional study (2011, neutral): “Age 1.05 (0.95–1.16) 1.11(0.99–1.24) 1.04 (0.92–1.17) 0.98 (0.84–1.14) 1.05 (0.85–1.3) SOGS over 5 1 1 1 1 1 1 1 1 4.43 (2.93–6.7) 2.75(1.68–4.5) 5.7 (3.63–8.93) 3.93(2.32–6.67) 7.39 (4.22–12.92) 4.73(2.39–9.35) 7 (3.29–14.96) 2.73(1.03–7.25) CBS under 1.34 1 1 1 1 1 1 1 1 2.93 (1.94–4.41) 2.47(1.54”
Internet Gaming Addiction: A Systematic Review of Empirical Research (2012, methodology): “2010) was experimental, using fMRI for assessing brain activation during game cue exposure in addicts compared to healthy controls, as well as psychometric measurements, including the Internet Addiction Test (Young 1998), Beck’s Depression Inventory (Beck and Steer 1993), and the structured clinical”
The Compulsive Internet Use Scale (CIUS): Some Psychometric Properties (2009, neutral): “…(see Table 2): loss of control (items 1, 2, 5, and 9); preoccupation (including mental and behavioral preoccupation) (items 4, 6, and 7); withdrawal symptoms (item 14); coping or mood modification (items 12 and 13); and conflict (including inter-and intrapersonal conflict) (items 3, 8, 10, and 11).”
Facebook Addiction Among Turkish College Students: The Role of Psychological Health, Demographic, and Usage Characteristics (2013, neutral): “16,19 Therefore, adapting from previous research on Internet addiction, 22,32 we developed the Facebook Addiction Scale (FAS) to assess addictive usage.”
A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use (2014, background): “Most research on internet addiction is based on initial research by Young (1998), who conceptualized internet addiction as an impulse-control disorder, deriving diagnostic criteria from the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) diagnosis for pathological gambling.”
Problematic internet and cell-phone use: Psychological, behavioral, and health correlates (2007, background): “The first author who proposed a diagnostic definition of Internet Addiction was Young (1996a, 1996b, 1998).”
Phishing Attacks: A Recent Comprehensive Study and a New Anatomy (2021, background): “The study published by Getsafeonline (2017) identi ﬁ es a lack of technical know-how and experience among women than men as the main reason for this.”
Internet addiction in adolescents: Prevalence and risk factors (2013, neutral): “…adolescent outpatients in Puerto Rico, Latin America (age range = 13-17 years) Crosssectional pen- and-paper questionnaire Internet Addiction Test (Young, 1998), scores ≥80/100 indicates addiction 11.6% addicted From the perspective of the engagement in specific online activities, rather than…”