Reviewer3 (AI review)

September 28, 2026

AI Review (reviewer3.com)

Comments (8)

1. Inconsistent first author name and initials — Editorial

Amr Ahmed ¹, Khulood Almatuiri ²

There is an internal inconsistency in how the first author's name and initials are represented. On page 1, the author is listed as 'Amr Ahmed' in the author list, but the correspondence line on the same page lists 'Amr Ahmed Khalil'. Furthermore, the Author Contributions section on page 16 uses the initials 'A.A.K.', which is inconsistent with the primary author name 'Amr Ahmed'.

2. Inappropriate extrapolation of general screen multitasking data — Minor

Two decades of direct observation by Gloria Mark show average sustained attention on a screen falling from abou t two and a half minutes in 2004 to roughly seventy - five seconds by 2012 and to about forty - seven seconds in recent samples, with a median near forty seconds [1]. Recovery is costly: returning fully to an interrupted task takes on the order

The authors cite Gloria Mark's observational data on declining screen attention spans to support the claim that short-form video use fragments attention. However, Gloria Mark's research tracked general multitasking behavior on computer screens (such as switching between email, browsers, and documents in office settings), which is driven by multi-window desktop environments and is contextually distinct from the sequential consumption of short-form video feeds on mobile devices. Using general desktop multitasking trends to substantiate the specific attentional effects of short-form video feeds is an inappropriate extrapolation. The authors should clarify the context of these findings and rely instead on studies that directly measure attention span in short-form video users.

3. Lack of direct neurochemical evidence — Minor

Two consequences bear directly on reading. The first is tolerance: as receptors downregulate, the same fe ed delivers less, so consumption escalates. The second, and the one that matters

The authors assert that short-form video use leads to dopaminergic downregulation and receptor recalibration. However, no direct empirical evidence of dopamine receptor density or baseline shifts in short-form video users is presented. Instead, this neurochemical mechanism is entirely extrapolated from general theoretical models of substance addiction and reward prediction error. To address this, the authors should explicitly qualify this claim, clarifying that dopaminergic downregulation is a hypothesized mechanism rather than an empirically demonstrated finding in this specific population, and suggest future neuroimaging or PET studies to test this hypothesis.

4. Conflation of state and trait prefrontal suppression — Minor

findings. The pattern is consistent: reward and salience regions are over - recruited by the feed , prefrontal control regions are relatively suppressed, and individuals scoring higher on problematic - use measures show the largest imbalances.

The authors infer that short-form video use chronically suppresses prefrontal control regions and fragments attention. However, the cited neuroimaging evidence (such as Su et al.) primarily measures transient, state-level neural activation patterns during active video consumption, which naturally downregulates top-down control networks in response to highly engaging bottom-up stimuli. This transient state-level downregulation does not necessarily equate to a chronic, trait-level impairment of prefrontal capacity. The authors should distinguish clearly between state-level neural responses during media consumption and trait-level cognitive control deficits measured during independent tasks, tempering their claims about chronic prefrontal suppression.

5. Misapplication of psychometric terminology — Major

e six core items. The monothetic rule sets a provisional core cut - off near the high teens (an exploratory threshold of 19, by analogy with empirically derived adolescent cut - offs for the parent instrument [33]), to be fixed by receiver - operating - characteri stic analysis against a clinical interview. A signature

The authors misapply the term "monothetic rule" by defining it as a continuous sum-score cutoff of 19 on the core subscale. In psychometrics and psychiatric classification, a monothetic rule requires that all specified criteria or items be endorsed (e.g., scoring 3 or higher on all 6 core items), whereas a sum-score cutoff allows for various combinations of item scores to reach the threshold, making it a dimensional or polythetic approach. This terminological confusion undermines the validity of the proposed scoring guidelines. The authors should correct the terminology, either by defining the monothetic rule properly (requiring a score of 3 or higher on all 6 core items) or by correctly labeling the sum-score cutoff of 19 as a dimensional sum-score threshold.

6. Lack of differential criteria for social media addiction — Major

These criteria adapt the DSM - 5 - TR nine - symptom template for internet gaming disorder and the ICD - 11 impaired - control framework to the short - form video context.

The proposed diagnostic criteria for Short-Form Video Use Disorder (SFVUD) lack explicit differential diagnostic or exclusion criteria regarding general social media addiction or problematic social media use. Since short-form video platforms are inherently social media platforms, the behavioral symptoms of SFVUD overlap almost completely with existing constructs of social media addiction. Without explicit boundaries, it is impossible to distinguish SFVUD from general social media addiction, leading to diagnostic redundancy. The authors should add a specific criterion addressing differential diagnosis, clarifying how SFVUD is distinct from general social media addiction (e.g., specifying that the impairment must be primarily driven by the algorithmic, short-form video feed format rather than social networking features).

7. Category error in using screen-reading meta-analyses — Minor

The reading literature supports the concern with unusual consistency. A meta - analysis of fifty - four studies and more than one hundred and seventy thousand participants found comprehension reliably better on paper than on screen, concentrated in expository, information - dense texts and under time pressure, and the paper advantage grew across the years studied rather than fading as devices improved [5]. A secon

The authors cite meta-analyses of reading comprehension on paper versus screens to support the claim that short-form video use drives deep-reading resistance and comprehension deficits. However, these meta-analyses compare reading the same text on paper versus digital screens (such as e-readers or tablets) and do not investigate short-form video consumption or its behavioral consequences. Citing the screen-inferiority effect as evidence of short-form video's impact is a category error, as the screen-inferiority effect is an immediate cognitive consequence of the reading medium itself, not a long-term behavioral consequence of a video-watching habit. The authors should clearly distinguish between the immediate effects of the reading medium and the long-term effects of short-form video habits.

8. Causal attribution and recall bias in scale item — Major

noticed that your ability to concentrate on long text has declined since you began heavy short - form video use?

Item 9 of the proposed scale requires respondents to make a retrospective longitudinal comparison and a causal attribution within a single self-report question. Retrospective self-reports of cognitive decline and causal attributions are highly susceptible to recall bias, confirmation bias, and demand characteristics, which compromises the psychometric validity of the signature subscale. The authors should rephrase Item 9 to focus on current, observable behaviors or experiences (e.g., "find it difficult to concentrate on long text for more than a few minutes") without requiring the respondent to retrospectively estimate a decline or attribute it to short-form video use.

xPeerd (AI review)

September 28, 2026

AI Review (xPeerd — DAReview)

Summary

This manuscript is an ambitious narrative review and conceptual paper proposing a new construct, “Short-Form Video Use Disorder (SFVUD),” a staged explanatory model (“Cognitive Capture Cascade”), provisional diagnostic criteria, and a new screening instrument (AK-SFVUS). Its main strengths are topical relevance, clear prose, a recognizable attempt to synthesize neuroscience, reading science, and behavioral-addiction literatures, and commendable explicit acknowledgment that the proposal is preliminary and requires validation. The paper also correctly notes that the causal literature is incomplete and heavily cross-sectional, and it presents a plausible research agenda for future empirical work.

Its main weaknesses are more serious. The manuscript repeatedly moves from analogy and plausibility to quasi-clinical assertion faster than the available evidence justifies. The proposed disorder and its reading-specific endpoint are not empirically validated, yet the paper often writes as though a coherent clinical entity already exists. Several central claims depend on inference chains assembled from adjacent literatures rather than direct evidence. The instrument and diagnostic criteria are introduced without any pilot data, item-generation protocol, expert consensus procedure, or empirical validation sample. There are also signs of rhetorical overreach, selective framing, and a weak boundary between review, theory paper, and quasi-diagnostic manifesto. On balance, the paper is potentially publishable only after major reconceptual revision.

Potential Major Revisions

1. Core construct validity is not yet demonstrated, but the manuscript frequently writes as if it is.

The manuscript states, “We propose a working label: acquired deep-reading resistance” and later elevates this into a broader disorder construct, “Short-Form Video Use Disorder (SFVUD)” . It also writes that “the construct behaves like other behavioral addictions on the measures that matter: tolerance, salience, and loss of control” . This is a major inferential leap. The cited evidence appears to concern problematic short-video use, attention difficulties, procrastination, mood correlates, and analogies with internet gaming or smartphone overuse, but not direct validation of a distinct clinical disorder whose hallmark outcome is “acquired deep-reading resistance.” The manuscript itself later concedes that “the reading-specific endpoint central to this paper has not yet been directly measured in relation to short video” and that “the link between the feed and reading resistance is, at present, an inference from adjacent findings” . That concession materially weakens the legitimacy of the stronger earlier claims. The paper should be reframed much more explicitly as a hypothesis-generating conceptual review, not as a near-ready diagnostic proposal.

2. The causal argument remains substantially under-supported.

The paper’s central thesis is causal: habitual short-form video use trains a reward-attention profile that culminates in resistance to sustained reading. For example, it claims that “the page does not get worse. The reader's reward threshold rises until the page falls below it. This is the neurochemical core of reading resistance” , and later proposes a four-stage cascade from “Capture” to “Extinction” with testable predictions . However, the manuscript repeatedly relies on cross-sectional studies, analogies to other addictions, and broader reading-on-screen literatures rather than direct longitudinal or experimental evidence on the precise endpoint being theorized. The authors do admit this in the limitations section: “Most cited evidence is cross-sectional and correlational, so reverse causation is live” . This is not a minor caveat; it is the central evidentiary limitation. Readers with weaker baseline attention, lower literacy engagement, depression, anxiety, or pre-existing executive-function difficulties may simply be more drawn to short-form video. The manuscript should sharply downgrade causal language throughout and replace strong mechanistic conclusions with conditional formulations.

3. Diagnostic inflation risk is high.

The manuscript explicitly models SFVUD “by analogy” with internet gaming disorder and ICD-11 gaming disorder and proposes “DSM-style diagnostic criteria” . This is risky because the paper may be medicalizing a common, culturally widespread behavior before proving that it constitutes a distinct disorder with discriminant validity from existing constructs such as problematic smartphone use, generalized problematic internet use, attentional dysregulation, procrastination, depressive avoidance, or low reading motivation. The manuscript does briefly acknowledge that “reasonable scientists dispute whether the addiction frame fits a behavior this common” , but it does not sufficiently engage with that critique. A stronger review must directly address why SFVUD is not merely a relabeling of already-described behavioral dysregulation plus a reading complaint.

4. The proposed scale lacks developmental rigor expected for instrument introduction.

The AK-SFVUS is presented with nine items, scoring rules, cut-offs, and a validation roadmap . But there is no reported item-generation procedure, no content-validity panel, no cognitive interviewing, no pilot testing, no sample characteristics, no exploratory factor analysis, no confirmatory factor analysis, no reliability coefficients, and no criterion validity evidence. The authors explicitly acknowledge that these are still needed . In that case, the manuscript should not present provisional thresholds with quasi-diagnostic force such as “screens positive” and “clinically meaningful acquired deep-reading resistance” without actual calibration data . This is methodologically premature and may mislead readers into using the tool before basic psychometric adequacy is established.

5. The manuscript sometimes overstates neurobiological specificity.

The neurobiological sections are rhetorically strong, but the evidentiary precision is weaker than the prose suggests. For example, the paper claims that personalized clips increase activity in the ventral tegmental area and default mode network “alongside reduced engagement of self-control regions” and frames personalization as tightening a loop between platform and person . It also argues that reward regions are “over-recruited” while prefrontal control regions are “relatively suppressed” . Yet the manuscript itself notes that many studies are cross-sectional and that directionality cannot be inferred from such data . The review would be more credible if it distinguished clearly between observed associations, theoretical extrapolations, and direct tests of mechanism. At present, the neurobiology is used more as persuasive scaffolding than as decisive evidence.

6. Boundaries between review, advocacy, and speculation are insufficiently controlled.

A scientific narrative review should maintain stable evidentiary discipline. Here, some sentences are rhetorically powerful but verge on advocacy. Examples include “The mind that flinches from a page and flows through a feed is not broken and is not weak. It is well trained, just trained for the wrong task” and “The page has not become harder. We have, for a while, made ourselves less able to meet it” . Such phrasing is memorable, but in a scholarly manuscript it risks overstating certainty and disguising the inferential gaps the authors elsewhere admit. The paper should be tightened into a more neutral academic register, especially in the abstract, introduction, and conclusion.

7. Novelty is mixed and should be more honestly delimited.

The most genuinely novel components appear to be the proposed label, the staged cascade framework, and the reading-resistance subscale within the AK-SFVUS . However, much of the substantive argument is built from already-familiar concerns about digital distraction, shallow processing, paper-vs-screen comprehension, reward reinforcement, and problematic use. The manuscript should distinguish more carefully between what is truly new and what is mainly a synthesis and rebranding exercise. Without that, the paper risks appearing more original than the evidence warrants.

8. Anti-fraud / coherence warning

I do not see classic paper-mill incoherence, fabricated jargon strings, or meaningless statistical claims. The manuscript is internally coherent and stylistically polished. However, there is a softer credibility concern: it proposes a disorder, criteria, and a scale in one narrative review without presenting original validation data, while still using clinical framing that may exceed the evidence. The reference list also includes at least one visibly incomplete DOI entry, “doi:10.1016/j.chb.2026.108XXX” for reference 27, which should be corrected or removed if not finalized . This does not indicate fraud, but it does indicate the manuscript is not yet mature enough in its current evidentiary form.

Potential Minor Revisions

1. Typographic, formatting, and presentation issues

The PDF text shows repeated encoding artifacts such as “fast￾growing,” “two￾decade,” “semi￾automatic,” and “distraction￾free,” indicating broken hyphenation or character encoding throughout the manuscript . These should be corrected globally.

The repeated footer/header text “This preprint research paper has not been peer reviewed. Electronic copy available at: https://ssrn.com/abstract=6930298” appears throughout extracted pages and may be acceptable in a preprint, but for journal submission the layout should be cleaned to avoid visual clutter .

Several tables are embedded in a way that reads awkwardly in plain-text extraction, for example Table 1 and Table 2, where column structure is hard to follow . The authors should ensure publication-ready table formatting and self-contained captions.

2. Writing and style issues

The prose is generally strong, but at times too literary for a scientific review. Phrases such as “The swipe is a lever” , “The feed sells anticipation” , and “The danger is quiet” would benefit from toning down. These phrases are rhetorically effective but can read as persuasive essay language rather than neutral scholarship.

Some assertions should be hedged more carefully. For instance, “construct behaves like other behavioral addictions on the measures that matter” is too categorical given the acknowledged validation gap.

3. Reference-list issues

Reference 27 appears incomplete, with a placeholder DOI “108XXX” . That must be finalized.

Because the paper leans heavily on recent preprints and very recent literature, the authors should verify publication status, metadata accuracy, and whether any cited preprints have been revised or contradicted since posting. This matters especially because the manuscript builds a clinical proposal on an emerging evidence base.

4. AI content analysis

The manuscript explicitly discloses: “AI assistance : Ai used for language and formatting and the authors reviewed, verified, and take full responsibility for all content, interpretations, and conclusions” . On internal stylistic grounds, I estimate a moderate probability of AI-assisted prose shaping, roughly 35–55%, primarily at the level of sentence smoothing, rhythmic parallelism, and polished connective transitions rather than obvious machine-generated content blocks. The disclosure is therefore directionally consistent with the textual impression.

Highlighted AI-like sections include highly compressed rhetorical passages in the abstract and conclusion, especially claims phrased with balanced oppositions and polished cadence, such as “The convergence is strong; the causal proof is not yet complete” and “The page has not become harder. We have, for a while, made ourselves less able to meet it” . Similar stylization appears in sections 4–7 where explanatory prose is unusually streamlined and aphoristic .

Assessed epistemic impact: low to moderate. I do not see the main concern as hidden AI generation per se; the greater concern is that polished prose may make speculative claims feel more evidentially settled than they are. The epistemic risk is thus not fabrication from AI language use, but rhetorical inflation.

Recommendations

1. Reclassify the article explicitly as a conceptual narrative review and hypothesis paper, not a near-diagnostic proposal. Move the strongest language away from “disorder” unless supported by direct evidence.

2. Reduce causal and clinical certainty throughout. Replace mechanistic declarations with testable hypotheses, especially in the abstract, conclusion, and sections 5–10. The limitations are comparatively disciplined; the rest of the paper should match that standard.

3. Separate clearly the manuscript’s contributions into: a. literature synthesis, b. conceptual model, c. provisional construct, d. preliminary item pool. The AK-SFVUS should be described as a proposed item set pending psychometric development, not as a functional screening scale.

4. Add a dedicated section on differential diagnosis / construct discrimination. Explain how SFVUD would differ from problematic smartphone use, generalized internet addiction constructs, ADHD-related attentional difficulties, depressive avoidance, academic disengagement, and ordinary media preference.

5. Temper the neurobiological sections by labeling which claims are directly evidenced, which are inferred, and which are analogical extensions from adjacent literatures. This would substantially improve scientific credibility.

6. If possible, add even a small empirical component: expert item review, pilot cognitive interviews, or preliminary content-validity assessment of the proposed scale items. Without any original validation element, the scale section remains too assertive relative to its evidentiary basis.

7. Revise the conclusion to avoid prescriptive statements such as treating the condition “as a real and partly reversible clinical and educational concern now” when the paper also states causal proof is incomplete . That internal tension should be resolved.

8. Correct all encoding artifacts, finalize incomplete citations, standardize tables, and tighten journal-style formality.

Overall recommendation

Major revision. The manuscript is coherent, timely, and potentially useful as a provocative conceptual review, but in its current form it overreaches the evidence base by proposing a diagnostic construct and instrument with insufficient empirical grounding.

XSci (AI review)

September 28, 2026

Referee Report

Manuscript: Short-Form Video Use Disorder (SFVUD): From Acquired Deep-Reading Resistance to Diagnosis — A Narrative Review, the Cognitive Capture Cascade Model, Proposed Diagnostic Criteria, and the Amr and Khulood Short-Form Video Use Scale (AK-SFVUS)

Recommendation: Major revision required

Summary and Recommendation

This narrative review asks whether habitual consumption of algorithmically curated short-form video drives an acquired aversion to sustained reading, and converts an affirmative answer into four linked proposals: a mechanism-based clinical label, Short-Form Video Use Disorder; a four-stage process model, the Cognitive Capture Cascade; a nine-indicator DSM-style criterion set with a polythetic threshold of five over a twelve-month period; and a nine-item self-report screen combining six items mapped to the components model of addiction with three signature items intended to capture reading resistance. The evidence is assembled from reinforcement theory, neuroimaging of personalized feed viewing, opponent-process and antireward accounts of hedonic adaptation, two meta-analyses on reading medium, and a rapidly growing survey literature on problematic short-video use. Sections 13 through 15 extend the framework into developmental and civic stakes, a stepped management pathway, and a five-priority research agenda. The authors present the disorder, criteria, and instrument explicitly as provisional proposals and recommend clinical attention ahead of causal proof.

The manuscript has real merits and they should be stated plainly. The authors have identified a clinically recognizable complaint that existing instruments do not capture, and their observation that no current measure addresses the reading-specific endpoint is both accurate and useful. The pairing of a reward axis with a control axis into a single account of why reading should feel aversive to a feed-trained mind is analytically well constructed, and the decision to attach an explicit prediction to each cascade stage is exactly what a speculative model ought to do. The limitations section is candid about cross-sectionality, reverse causation, publication bias, and the contested standing of the addiction frame, and the explicit repudiation of the goldfish attention myth reflects scholarly discipline that is not universal in this area. What prevents publication in the present form is not a lack of care but a persistent mismatch between what the evidence establishes and what the paper concludes from it, and this mismatch recurs at the level of the review procedure, the construct, the instrument, and the clinical recommendations that follow from all three. Major revision is required, and the revisions are substantial enough to require a further round of review.

Major Concern Category 1: The Evidentiary Foundation

1.1 The Absence of a Stated Review Procedure

The manuscript describes itself as a synthesis of behavioral neuroscience, cognitive psychology, reading science, and the short-form video addiction literature, but nowhere states how that synthesis was produced. No databases, date ranges, search terms, inclusion criteria, screening decisions, or quality-appraisal procedures are reported, and no indication is given of how many candidate studies were identified and set aside. This matters more here than in an ordinary narrative review because the paper's argument is explicitly an argument from convergence, and an argument from convergence is only as strong as a reader's confidence that non-convergent evidence was sought. Without a protocol, convergence and selection are indistinguishable. The concern is sharpened by the reference list's brevity relative to the paper's scope and by the weight carried by trade books rather than peer-reviewed studies. Adopting a reproducible review protocol and reporting the result against a recognized narrative-review quality standard would allow readers to calibrate how much the synthesis can bear.

1.2 An Endpoint That Is Never Measured

The organizing claim is that short-form video consumption produces resistance to deep reading, and the authors concede in Section 16 that this endpoint "has not yet been directly measured in relation to short video." That concession is not carried through the rest of the paper, and the adjacent evidence recruited to fill the gap does not bear on the claim. The principal support is the screen-inferiority literature, which compares comprehension of a given text presented on paper versus on a screen. Those studies do not compare short-form video users with non-users, do not measure willingness to begin or persist with long text, and say nothing about short-form video, which in most cases did not exist when the constituent studies were conducted. A paper-over-screen comprehension advantage is entirely compatible with short-form video having no effect on reading whatever. The same difficulty attends Section 8, the hinge of the argument, where not one citation links short-form video use to a measured reading outcome.

1.3 The Attention-Span Series Measures Something Else

The forty-seven-second figure appears in the abstract, anchors the first mechanism of displacement, and is offered in the conclusion as one of three independent lines converging on the paper's thesis. Its treatment does not match what the underlying research measured. The observational work tracked how long knowledge workers remained on a single computer window before switching, in workplace settings dense with email, messaging, and multi-application demands. This is a measure of task-switching behavior, not of attentional capacity, of motivated sustained attention, or of reading endurance, and it was collected from neither adolescents nor readers. The secular comparison compounds the problem, since the notification ecology, second-screen prevalence, and responsiveness norms all changed radically across the interval, so that declining dwell time is exactly what one would predict from a proliferation of competing channels with no change in underlying capacity. Since none of these observations involves short-form video, the series cannot support the causal role assigned to it.

1.4 A Narrow Empirical Base Supporting Universal Claims

The prevalence estimates, factor structure, procrastination findings, depression cross-lags, and developmental-stage analysis derive almost entirely from Chinese adolescent and undergraduate samples, with the neuroimaging and fNIRS work adding Chinese university participants. The authors recognize this in Section 15 as a research priority, but the acknowledgment arrives after thirteen sections in which the constraint has not been applied to the claims. The consequences are concrete: the fifty percent prevalence figure characterizes a specific national student population with a specific examination culture and specific platform defaults, and the domestic Chinese short-video environment operates under different regulatory constraints, including youth-mode time limits, than the international platforms the manuscript names throughout. The diagnostic proposal inherits these limits without acknowledging them, applying a uniform threshold and cut-off to a construct whose foundation lies in one country's student population, while the validation roadmap omits the measurement-invariance testing that cross-linguistic comparison requires. There is also an unexamined demographic narrowing, in that criteria intended for adults rest on adolescent data.

Major Concern Category 2: The Validity of the Proposed Construct

2.1 Diagnostic Architecture Without Data, Against a Fifty Percent Base Rate

The manuscript proposes, in a single paper and without collecting or analyzing any data, a clinical entity, a nine-indicator criterion set with threshold and severity specifier, an associated clinical sign, and a screening instrument with two scoring rules and a numeric cut-off. This is a great deal of diagnostic architecture on a foundation the authors themselves describe as inferential, and it is not defended against the most obvious objection. Section 9 reports mild-to-severe problematic use in roughly half of some student samples, and Section 3 registers the dispute over whether an addiction frame fits a behavior this common, then proceeds past it. A candidate disorder with a screen-positive rate near fifty percent in a non-clinical population is a construct-validity problem rather than evidence of an epidemic: it suggests the criteria, ported from substance-use templates, are being satisfied by ordinary heavy use of an ordinary consumer product. The severity specifier compounds this, since it grades by symptom count where the DSM convention it invokes grades by disruption to functioning.

2.2 No Demonstration of Discriminant or Incremental Validity

A case for a new diagnostic entity ordinarily requires showing that the candidate is not a relabelling of something already described, and the manuscript does not attempt this. It argues instead from analogy with gaming disorder, and the four citations offered as establishing biological plausibility show only that short-video use engages reward circuitry, tracks with impulsivity, is measurable, and is prevalent — none of which is specific to short-form video, and several of which are drawn from adjacent literatures. The most pressing competitors are generalized problematic internet use, problematic smartphone use, from which the paper borrows both its structural neurobiology and its exercise recommendation, and inattentive-presentation ADHD, whose phenotype substantially overlaps the one described. Criterion B addresses this with a single clause referring to an "attention-deficit episode," which is not a recognized construct since ADHD is persistent rather than episodic, and it specifies no procedure for making the better-accounted-for judgment it governs.

2.3 A Neurochemical Mechanism Without Neurochemical Evidence

Section 5 rests the central mechanism on a specific physiological claim: that repeated feed use produces receptor downregulation and a hedonic baseline pushed below neutral into a dopamine deficit, with the consequence that the reading reward falls below a raised threshold. No human dopaminergic measurement in short-form video users is cited anywhere in the manuscript, and no PET, SPECT, or pharmacological-challenge evidence appears. The mechanism described as the neurochemical core of the phenotype is therefore inferred from a general model of affective dynamics and from an antireward framework developed in substance dependence. There is also an internal tension, in that Section 4.1 correctly endorses the reward-prediction-error account while Section 5 treats dopamine as a hedonic currency that can be spent into deficit, and these are incompatible models. The imaging evidence is read similarly loosely: the personalization study heading the neuroimaging table compared personalized with generic clips in ordinary viewers, not problematic users, and did not index addiction or reading.

2.4 A Cascade That Does Not Discriminate Itself From Its Rivals

The cascade is presented as falsifiable, with each stage generating predictions that longitudinal and experimental work could confirm or refute, and this is the right ambition. The difficulty is that the predictions would be satisfied equally by the explanations the model should displace. The prediction that reading frequency and comprehension decline as feed use rises would be confirmed under the cascade, under a selection account in which weaker baseline attention drives both, under a compensatory-use account in which distress drives both, and under simple time displacement with no neuroadaptation at all. The prediction that subjective reward from reading declines mediated by anhedonia names as mediator precisely the variable a depression-driven selection account would nominate as common cause. Only the first stage's prediction has discriminating temporal structure, and no design is proposed to establish it. Nor are the four stages operationally separated, so the staged structure — the model's distinctive claim relative to a dose-response account — is not testable as specified.

Major Concern Category 3: The Instrument, the Clinical Apparatus, and the Governance of the Proposal

3.1 An Undocumented Instrument With Circular Items

Section 12 presents nine finished items without any account of how they were produced: no item pool, no expert or content-validity review, no cognitive interviewing, no pilot administration, no item-reduction analysis. More seriously, the three signature items do not measure reading resistance in a way that would allow its association with feed use to be discovered; instead they ask respondents to attribute reading difficulty to short-form video. One item asks whether difficulty finishing a long text occurred "because of a strong pull to check short videos," and another asks whether concentration has declined "since you began heavy short-form video use," presupposing both that heavy use began and that decline occurred. Any correlation between the signature and core subscales would be substantially guaranteed by the wording rather than found in the data, and the expected two-factor structure would be partly an artifact of shared causal framing. The latter item also cannot be administered to light users, defeating the roadmap's own known-groups step.

3.2 Borrowed Thresholds and Unreconciled Scoring Rules

Two scoring rules are proposed, a polythetic rule adapted from a different instrument's convention and a monothetic cut-off of nineteen imported by analogy from an adolescent study of a different scale. A cut-off is a property of a particular instrument administered to a particular population against an external criterion, and transporting a number on grounds of structural analogy is not a weak derivation but no derivation at all. The two rules are also unreconciled and would classify different respondents: someone endorsing three on four items and one on two passes the polythetic rule while failing the monothetic, and the manuscript does not say which governs or how the signature-subscale flag interacts with either. Most consequentially, nothing in the paper considers what a cut-off implies about positive predictive value at the base rates reported, even though Section 13 proposes asking about feed use as routinely as about sleep or substances.

3.3 A Management Pathway for a Condition That Does Not Yet Exist

Section 14 is titled "Evidence-Based Management" and recommends, in sequence, cognitive behavioral therapy, mindfulness-oriented recovery enhancement, repetitive transcranial magnetic stimulation, bupropion, structured exercise, and abstinence. Every supporting trial was conducted in a different condition — internet gaming disorder, substance dependence, or mobile-phone addiction — and none enrolled a participant diagnosed with the proposed disorder, which is unsurprising given that the diagnosis first appears three sections earlier in the same manuscript. The tension with Section 16's statement that the criteria and scale are conceptual proposals rather than validated entities is direct, and a reader encountering the treatment section in isolation, which is how such sections are often read, would reasonably infer an established evidence base. The escalation raises a safety consideration: recommending neuromodulation as defensible in refractory cases presupposes that refractoriness can be identified in a condition never yet diagnosed, and rests on mechanistic plausibility, which has a poor record as a guide to intervention here.

3.4 Claims That Outrun Their Hedges

A reader who begins with the abstract and conclusion encounters a different paper from one who begins with the limitations, and the positions are not merely differently emphasized but logically incompatible. The abstract holds that convergence across methods justifies clinical attention now and the conclusion that the convergence is strong, while Section 16 states that the central link has never been measured; if the link is unmeasured there is no convergence upon it, only convergence on adjacent propositions from which it is inferred. The same divergence recurs over diagnostic status, where Section 3 disclaims any overclaim while Section 11 supplies a complete apparatus of lettered criteria, threshold, duration, exclusion, and severity grading. Section 13 shows the pattern at its widest: the developmental argument that an unbuilt reading circuit may never form to capacity rests entirely on a trade book with no pediatric or longitudinal citation, sits uneasily against the paper's own closing appeal to recoverable plasticity, and the civic argument is offered without any supporting literature.

3.5 Undisclosed Interests and a One-Sided Precautionary Calculus

The authors propose a disorder, a model, criteria, and an instrument bearing their own given names, then declare no conflict of interest. Intellectual and reputational stakes in the adoption of a construct are within the scope of competing-interest disclosure precisely because they shape how evidence is weighed, and the declaration as written implies no such interest exists. The naming convention also departs from field practice, where instruments take their names from institutions or constructs rather than developers, and it sits awkwardly against an author-contributions statement attributing the scale's conception to one author. The related difficulty is the paper's closing risk-benefit claim, which invokes the modest cost of acting without examining any cost. At the base rates the manuscript itself reports, and with a cut-off lacking criterion validity, population-scale enquiry would generate a very large number of positives, an unknown share of them false, with foreseeable harms in adolescents including inappropriate labelling, family conflict, and referral into the pharmacological and neuromodulatory pathways the paper recommends.

Minor Issues

1. Production defects in the section structure and tables. The heading for Section 4 renders as "## red," leaving the section untitled. The neuroimaging table is split into two tables with a duplicated header row and a caption attached only to the second, and its caption describes all included studies as predominantly cross-sectional when the first row reports a within-participant experimental contrast. In the cascade table, the first stage's prediction breaks off mid-sentence and continues inside the second stage's cell, leaving the paper's central model unreadable as tabulated. Mid-sentence paragraph breaks recur throughout, apparently as conversion artifacts.

2. Reference-list integrity. Seven entries are listed by title with no authors, several of them load-bearing. One carries an unresolvable placeholder DOI in place of an article number, yet supports three separate claims. Three entries appear in the list but are never cited in the text, including one on short-form video addiction and attention that seems directly germane to the displacement mechanisms. A further entry is cited in the epidemiology section for platform user-base figures when it is in fact the academic-buoyancy study cited correctly elsewhere; a separate industry source is required.

3. Evidence tiers are not distinguished. A medRxiv preprint appears in the neuroimaging table alongside published journal studies without any indication of its status, and supplies two of five rows as well as the control-axis findings. A conference-proceedings paper supplies both the graduate-sample usage figures and part of the fifty percent prevalence claim. National survey figures are reported without naming the survey, its administering body, its year, or its sampling frame. Each should be labelled at the point of use so readers can weight it appropriately.

4. Effect sizes are reported without dispersion or scrutiny. The psychotherapy and neuromodulation meta-analyses are given as bare point estimates with no confidence intervals or heterogeneity statistics, despite underwriting clinical recommendations. The exercise meta-analysis is reported at a standardized mean difference of −3.11, a magnitude far outside the range typical of behavioral intervention trials, which ordinarily signals small-study effects or a computational artifact and should not pass without comment. The mindfulness trial is described without noting its stage I status or sample size.

5. Item construction problems beyond the signature subscale. Response anchors run from "very rarely" to "very often" with no "never" option, so the minimum core score does not correspond to absence of the behavior, and frequency anchors sit awkwardly against a twelve-month reference window. Several items are multi-barrelled, combining harm to studies, work, sleep, and relationships in one stem, or urge and session length in another, producing scores that cannot be interpreted and depressing item-total correlations.

6. Key constructs are asserted rather than operationalized. The three-state taxonomy of preference, habit, and resistance carries the diagnostic proposal but offers no boundary by which an individual could be placed in one category. "Intact word-level decoding" is the criterion separating the proposed clinical sign from dyslexia, yet no procedure or instrument is specified for establishing it. "Heavy use" recurs throughout, including inside a scale item, without ever being quantified in minutes, sessions, or any other unit.

7. Internal inconsistencies in the criterion set. Impairment functions both as the gating requirement of Criterion A and as countable indicator nine, double-counting it in the severity grading and departing from the ICD-11 structure the section claims to incorporate. The nine indicators merge the DSM gaming-disorder template with components-model items without explaining the merger or addressing where it produces redundancy. The criteria apply an identical threshold and twelve-month window at every age, despite the paper's own argument that adolescence is a sensitive period.

8. Unsupported or selectively read supporting claims. The statement that falling national literacy indicators corroborate the developmental argument names no country, assessment, or period. The claim that print and dedicated e-readers reduce the multitasking pull is supported only by comprehension citations that concern medium rather than device-related task-switching. The recovery of hedonic baseline after abstinence rests on a trade book, and the reading-reconditioning prescription on no trial at all. The five-factor argument treats two of five factors as evidence of cognitive convergence when the remaining three are social and behavioral.

9. Scope simplifications that deserve explicit defence. TikTok, Reels, and Shorts are treated as interchangeable despite differing recommendation architectures and platform defaults, which matters if the proposed mechanism is algorithmic personalization. Content type is not differentiated, so the model predicts identical consequences for entertainment, news, and educational material — a strong implication of a format-over-content mechanism that should be stated and argued rather than left implicit.

10. Front-matter and framing issues. The first author's name appears in three forms across the byline, the correspondence line, and the contributions statement. The subtitle presupposes the diagnostic conclusion the paper argues toward, which is in tension with its insistence that the construct is provisional. Introducing a new acronym alongside the field's established terminology may fragment rather than unify nomenclature, contrary to the stated aim. A historical claim about the development of gaming-disorder research is attributed to the DSM itself, which documents current status rather than field history. The AI-assistance statement would benefit from specifying what citation verification was performed. The manuscript never states whether the nine items have been administered to anyone, and the limitations section omits both the absence of a search procedure and the reliance on non-peer-reviewed sources.

Missing and Inadequately Integrated Literature

Cited but Inadequately Integrated

The components model supplies six of the nine scale items, but the manuscript does not engage the sustained critical exchange over whether that model's components transfer appropriately to non-substance behaviors, nor state why the components map onto short-form video specifically rather than onto any repeated screen behavior. The international consensus statement on gaming-disorder assessment is invoked to justify the polythetic threshold while its central caution — that criteria ported across behaviors require demonstrated rather than assumed fit, and that proliferating instruments produce incomparable prevalence estimates — goes unaddressed, which is notable in a paper introducing a further instrument. The DSM and ICD sources are cited as precedent without laying their structures alongside the proposed criteria; the ICD contribution in particular is claimed but not visible in a nine-indicator set that follows the DSM template almost entirely, and the DSM's own stated reasons for placing gaming disorder among conditions requiring further study apply with greater force here.

Several empirical sources are also underused. The personalization neuroimaging study is load-bearing across four locations but its design is never described to the reader, so the inference from a normative contrast to a pathological profile passes unexamined. The cross-lagged analysis of short-video use and depressive symptoms documents precisely the bidirectionality the cascade must overcome, and deserves treatment where the model's directional claims are made rather than a single clause elsewhere. The orbitofrontal findings in problematic smartphone use are offered as parallel evidence without acknowledging that a shared structural signature argues at least as strongly for a common underlying pattern as for a distinct entity. The moderated-mediation study of procrastination is presented as a displacement mechanism although its cross-sectional design makes the mediation statistical rather than temporal. The shallowing-hypothesis test concerns social media and texting, with trait reflectiveness as outcome, and these scope conditions should appear where it is cited as direct support.

Truly Missing Papers

Several literatures that bear directly on the manuscript's central proposal are absent. On the legitimacy of the construct, Billieux and colleagues (2015) is the standard statement of the argument that behavioral-addiction research overpathologizes everyday activity through a confirmatory strategy that applies substance criteria without interrogating underlying processes, and Kardefelt-Winther and colleagues (2017) supplies an operational definition with explicit exclusion criteria designed to prevent exactly that; testing the proposal against those criteria would materially strengthen it. Aarseth and colleagues (2017) documents the scholarly opposition to formalizing gaming disorder on grounds of research quality and false-positive risk in young people, which is directly on point for a paper reasoning by that analogy. Van Rooij and Prause (2014) reviews the dominant models including the components model and concludes the evidence base does not support a disorder, offering an alternative route focused on impaired dimensions. Kardefelt-Winther (2014) introduces the compensatory-use model, the principal competitor to the cascade.

On method and measurement, Boateng and colleagues (2018) sets out the standard phased framework for scale development beginning with item generation and content validity, and Flake and Fried (2020) defines questionable measurement practices and supplies a transparency checklist bearing directly on the undocumented origin of the nine items. Baethge and colleagues (2019) provides a validated instrument for assessing narrative-review quality that would address the procedural gap concretely. On mechanism, Poldrack (2006) is the standard treatment of reverse inference and its dependence on regional selectivity, and Salamone and Correa (2012) argues that mesolimbic dopamine mediates effort exertion and behavioral activation rather than hedonic pleasure — an account that arguably fits the phenomenon here better than the deficit model. On magnitude and differential diagnosis, Orben and Przybylski (2019) reports specification-curve results across 355,358 participants finding associations explaining at most 0.4 percent of variance, and Ra and colleagues (2018) reports a two-year cohort of 2,587 adolescents linking high-frequency digital media use to subsequent ADHD symptoms at modest effect size. Moynihan, Doust, and Henry (2012) supplies the overdiagnosis framework the precautionary argument needs for its cost side.

Aarseth, E., A. M. Bean, H. Boonen, M. Colder Carras, M. Coulson, D. Das, et al. 2017.
  Scholars' open debate paper on the World Health Organization ICD-11 Gaming Disorder
  proposal. Journal of Behavioral Addictions 6(3):267-270.

Baethge, C., S. Goldbeck-Wood, and S. Mertens. 2019. SANRA - a scale for the quality
  assessment of narrative review articles. Research Integrity and Peer Review 4:5.

Billieux, J., A. Schimmenti, Y. Khazaal, P. Maurage, and A. Heeren. 2015. Are we
  overpathologizing everyday life? A tenable blueprint for behavioral addiction research.
  Journal of Behavioral Addictions 4(3):119-123.

Boateng, G. O., T. B. Neilands, E. A. Frongillo, H. R. Melgar-Quinonez, and S. L. Young.
  2018. Best practices for developing and validating scales for health, social, and
  behavioral research: a primer. Frontiers in Public Health 6:149.

Flake, J. K., and E. I. Fried. 2020. Measurement schmeasurement: questionable measurement
  practices and how to avoid them. Advances in Methods and Practices in Psychological
  Science 3(4):456-465.

Kardefelt-Winther, D. 2014. A conceptual and methodological critique of internet addiction
  research: towards a model of compensatory internet use. Computers in Human Behavior
  31:351-354.

Kardefelt-Winther, D., A. Heeren, A. Schimmenti, A. van Rooij, P. Maurage, M. Carras,
  J. Edman, A. Blaszczynski, Y. Khazaal, and J. Billieux. 2017. How can we conceptualize
  behavioural addiction without pathologizing common behaviours? Addiction
  112(10):1709-1715.

Moynihan, R., J. Doust, and D. Henry. 2012. Preventing overdiagnosis: how to stop harming
  the healthy. BMJ 344:e3502.

Orben, A., and A. K. Przybylski. 2019. The association between adolescent well-being and
  digital technology use. Nature Human Behaviour 3(2):173-182.

Poldrack, R. A. 2006. Can cognitive processes be inferred from neuroimaging data?
  Trends in Cognitive Sciences 10(2):59-63.

Ra, C. K., J. Cho, M. D. Stone, J. De La Cerda, N. I. Goldenson, E. Moroney, I. Tung,
  S. S. Lee, and A. M. Leventhal. 2018. Association of digital media use with subsequent
  symptoms of attention-deficit/hyperactivity disorder among adolescents. JAMA
  320(3):255-263.

Salamone, J. D., and M. Correa. 2012. The mysterious motivational functions of mesolimbic
  dopamine. Neuron 76(3):470-485.

van Rooij, A. J., and N. Prause. 2014. A critical review of "Internet addiction" criteria
  with suggestions for the future. Journal of Behavioral Addictions 3(4):203-213.

Conclusion and Path Forward

The question this manuscript asks is worth asking, and the authors have approached it more carefully than most who write on the subject. They are right that clinicians and educators encounter the complaint they describe, right that no existing instrument captures the reading-specific endpoint, and right to prefer a mechanism-based label over a brand-anchored one. The two-axis organization of the neurobiology, the attachment of predictions to each cascade stage, the candid limitations section, and the refusal to repeat popular misinformation about attention spans all indicate authors working seriously on a difficult problem. These qualities make the paper a reasonable candidate for revision rather than rejection.

The revisions required are nonetheless extensive, and they converge on a single discipline: matching each claim to the evidence that supports it. The review needs a stated and reproducible procedure so the argument from convergence can be audited. The gap between the reading literature and the reading endpoint needs acknowledging wherever the claim is made, not only in the limitations, and the attention-span series should be described for what it measures or removed from the converging lines. The construct needs a demonstration of discriminant and incremental validity against generalized problematic internet use, problematic smartphone use, ADHD, and depression, or an honest reframing as a content-specific subtype. The mechanism needs either dopaminergic evidence or restatement in motivational terms. The instrument needs a documented development history and, urgently, signature items rewritten so that they measure reading difficulty without presupposing its cause. The treatment section needs retitling and relocating into the research agenda. And the governance of the proposal — the competing-interests declaration, the eponymous naming, and the one-sided risk-benefit claim — needs revisiting so that the costs of acting are weighed alongside the costs of waiting. A version of this paper that made a carefully bounded, well-specified hypothesis and labelled it as such would be a more durable contribution than the present one, and considerably harder to set aside.