Construct · 4 names · 5 citations

Where does technology addiction collide?

Different names. Different fields. One construct. One map.

● jangle · one dependency, many names Nearest construct by meaningcyberdeviancecompare the meanings
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Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to technology addiction is cyberdeviance.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

RENAMED PROBLEMATIC USECOMPONENTS INTO ISADDICTION INTO IStechnologyaddiction4 NAMESInternet addictionYOUNG · NET ADDICTIONComponents modelGRIFFITHS · COMPONENTSProblematic useCAPLAN · PROBLEMATIC USETech addictionTUREL · TECH ADDICTION

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2026

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Clinical psychology

Excessive internet use treated as a clinical disorder

In clinical psychology the pattern was first named internet addiction by Young, whose 1998 paper argued that heavy, out-of-control internet use could form a genuine impulse-control disorder. Young adapted the diagnostic criteria for pathological gambling into a short screen covering preoccupation with being online, a growing need for more time online, repeated failed attempts to cut back, and continued use despite damage to work, study, or relationships. She treated the condition as diagnosable rather than as a mere habit or a strong preference. The referent is the same compulsive dependency that information systems research later called technology addiction, but framed here as a medical condition and named for the internet as a whole rather than for any one application.[1]

Unit
One clinical case of compulsive internet use meeting a diagnostic threshold
Recovery means
Framed as a treatable disorder, with clinical remission the goal
Measured by
Young's eight-item diagnostic questionnaire, adapted from pathological-gambling criteria

Behavioural addiction

A general six-part addiction process applied to a behaviour

In the study of behavioural addictions Griffiths proposed a general components model that treats every addiction, chemical or behavioural, as sharing the same six parts: salience, mood modification, tolerance, withdrawal, conflict, and relapse. Griffiths's 2005 paper set the model inside a biopsychosocial framework and applied it to technological activities such as gaming and internet use. On this account a technology addiction is not a construct of its own but one more instance of a single underlying addiction process. The referent is that general syndrome, and the clinical, communication, and information systems literatures each take a version of these six parts and attach their own name to the result for a particular technology.[2]

Unit
A behaviour's profile across the six addiction components
Recovery means
Relapse is one of the six components, so remission is treated as unstable
Measured by
Component-based criteria scoring salience, mood change, tolerance, withdrawal, conflict, and relapse

Communication research

Harmful internet use described as a graded problem, not a disease

Communication and cyberpsychology researchers reframed the same phenomenon as problematic internet use to avoid the disease language of addiction. Caplan's 2010 model defined it as a cognitive and behavioural pattern built from a preference for online social interaction over face-to-face contact, use of the internet to regulate mood, poor self-regulation combining compulsive use with preoccupation, and the negative outcomes that follow. The label was chosen to describe a graded range of harmful use rather than a discrete illness a person either has or lacks. The referent overlaps heavily with what other literatures call internet addiction or technology addiction, and the main difference lies in whether the compulsive dependency is called an addiction at all.[3]

Unit
A person's degree of problematic use along a graded scale
Recovery means
Not applicable
Measured by
Caplan's Generalized Problematic Internet Use Scale, covering preference, mood regulation, self-regulation, and outcomes

Information systems

Compulsive maladaptive dependency on a specific technology

In information systems research the compulsive, maladaptive dependency on a particular information technology is called technology addiction or IT addiction. Turel, Serenko, and Giles's 2011 study of online auction users defined it by a small set of parts borrowed from the study of substance and behavioural addictions: loss of control over use, salience so that the technology dominates thought and time, withdrawal-like distress when access is blocked, and continued use despite harm. Turel and Serenko's 2012 work on social networking websites traced how ordinary enjoyment can harden into this dependency. The referent is a syndrome of compulsive use tied to a named technology, and it is the same dependency that clinical work calls internet addiction and communication work calls problematic use, now aimed at a specific system rather than the internet in general.[4][5]

Unit
One person's compulsive dependency on a given technology, scored across components
Recovery means
Not applicable
Measured by
Component scales adapted from behavioural-addiction criteria: control, salience, withdrawal, and conflict

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Nearby collisions

habit5 fields · 9 citationsjingle · one name, five constructsIS continuance4 names · 4 citationsjangle · one continued use, four namesfear of missing out3 fields · 3 citationsjingle · one label, three constructs

References

  1. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior, 1(3), 237–244. https://doi.org/10.1089/cpb.1998.1.237
  2. Griffiths, M. (2005). A 'components' model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
  3. Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089–1097. https://doi.org/10.1016/j.chb.2010.03.012
  4. Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. MIS Quarterly, 35(4), 1043–1061. https://doi.org/10.2307/41409972
  5. Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512–528. https://doi.org/10.1057/ejis.2012.1

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