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"Internet Addiction": a Conceptual Minefield.

Francesca C Ryding¹, Linda K Kaye¹

¹Department of Psychology, Edge Hill University, St Helens Road, Ormskirk, Lancashire L39 4QP UK.

International Journal of Mental Health and Addiction

|March 2, 2018

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Internet addiction (IA) is a growing global concern, but its classification as a distinct psychiatric disorder remains controversial. This paper critiques the conceptualization and measurement of IA, impacting diagnosis and treatment efficacy.

Area of Science:

Psychiatry
Psychology
Digital Health

Background:

Rapid advancements in internet connectivity and technology have led to 'Internet addiction' (IA) becoming a significant global concern.
The classification of IA as a distinct psychiatric disorder is debated, with discussions on whether it manifests independently or as a symptom of other underlying conditions.
Evolving internet mobility and varied access contexts complicate the conceptualization and measurement of IA.

Discussion:

The controversial use of the term 'addiction' in relation to internet use raises questions about its psychiatric validity.
Disagreement on the conceptualization of IA hinders the development of standardized diagnostic criteria.
The lack of official recognition impacts the efficacy of clinical diagnosis and treatment interventions for problematic internet use.

Keywords:

Contexts Gratifications IGD Internet addiction Platforms

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Key Insights:

The conceptualization of Internet addiction is challenged by its association with specific online activities and potential underlying disorders.
Measurement of IA is complex due to varying internet access contexts and increasing mobility.
The debate surrounding IA's classification directly affects diagnostic accuracy and treatment effectiveness.

Outlook:

Further research is needed to establish a consensus on the definition and diagnostic criteria for Internet addiction.
Developing reliable and valid measurement tools for IA is crucial for clinical practice and research.
Clarifying the conceptual and diagnostic status of IA is essential for improving patient outcomes and public health strategies.