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Record W4286412492 · doi:10.3138/jeunesse.12.1.16

“God Only Knows What It’s Doing to Our Children’s Brains”: A Closer Look at Internet Addiction Discourse

2020· article· en· W4286412492 on OpenAlexvenueno aff
Katie Mackinnon, Leslie Regan Shade

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMisinformation and Its Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationArgument (complex analysis)RhetoricRhetorical questionHumanismSociologyPower (physics)The InternetPublic relationsAddictionPolitical scienceMedia studiesPsychologyLaw

Abstract

fetched live from OpenAlex

This article examines the current discourse of “ethical technology” or “tech humanism” as it relates to young people’s use of mobile and social media. Reminiscent of earlier moral and media panics surrounding the use of communication technologies by young people, the current rhetoric focuses on “internet addiction” and other health aspects, and whether and how tech companies should be responsible for the use of their products and services. It is a contested debate that has brought together reformed Silicon Valley tech entrepreneurs, policy-makers, health specialists, academics, educators, and parents. In this article we demonstrate the range of stakeholders deeply engaged in these debates to argue that while there is genuine concern about the power and influence of social media and digital technologies, fears about young people’s relationships with digital technology has been profitable, and discourse on “internet addiction” has worked in ways that protect corporations and redirect condemnation away from them and toward the young people they are claiming to protect. In making this argument, we trace a history of “internet addiction” research in order to situate the current discourse, examine the rhetorical shift that emphasizes the health effects of technology on young people, survey the stakeholders leading these debates, and assesses the corporate responsibility of tech companies that depend on the commodification of young people’s content for their bottom line.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.315
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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