The vocabulary in this space is messy. Some terms come from peer-reviewed research with validated questionnaires. Others come from TikTok captions that journalists picked up because they were good copy. Here’s a cheat sheet that tells you which is which.

The actually-validated terms

These have published research instruments and cutoffs. If a clinician used them, they could point to the scale.

Social media addiction

The pattern of behavior — preoccupation, tolerance, withdrawal-like distress, failed cut-back attempts, life impact — that the Bergen Social Media Addiction Scale (BSMAS) screens for.[1]

Not a DSM diagnosis. Is a research construct, validated across thousands of studies. The published threshold for “at-risk” is scoring ≥3 (sometimes/often/very often) on at least 4 of 6 BSMAS items.

Closely overlaps with “problematic social media use” — same concept, different label.

Smartphone addiction

Specifically phone-related, not just social media. Measured by the Smartphone Addiction Scale (SAS-SV), 10 items, with gender-specific cutoffs (M≥31, F≥33). Items cover daily disturbance, withdrawal, anticipation, online-relationship preference, overuse, and tolerance.

Also not a DSM diagnosis. Also widely used in research.

Nomophobia

The fear of being without one’s phone. Measured by the Nomophobia Questionnaire (NMP-Q), 20 items, 7-point scale, with mild/moderate/severe interpretation bands.[2]

Real construct, not a DSM diagnosis. The associated anxiety symptoms (if severe) absolutely are treatable as anxiety symptoms. Read more in our nomophobia explainer.

Internet Gaming Disorder (IGD)

This one is almost a DSM diagnosis. It’s in DSM-5 as a “condition for further study” — the official “we think this is real, we don’t have full agreement yet” category. The ICD-11 (the World Health Organization’s diagnostic manual) includes Gaming Disorder as a recognized diagnosis.

The Social Media Disorder Scale (SMDS) is modeled on the DSM-5 IGD criteria, just adapted to social media. ≥5 yes answers out of 9 = meets the research criteria for (Disordered) Social Media Use.

FOMO (Fear of Missing Out)

Coined in 2004 by Patrick McGinnis, validated as a research construct in 2013 by Andrew Przybylski’s group at Oxford. There’s a 10-item FOMO Scale (FOMOs) with established psychometric properties.

The research consensus: high FOMO is associated with higher social media use, lower mood, and worse sleep — though direction of causation is murky (FOMO drives use AND use drives FOMO).

The pop-culture terms (with real underlying behavior)

These don’t have validated scales but describe real, measurable patterns.

Doomscrolling

The persistent consumption of negative news beyond informational value, despite negative emotional consequences. We have a full article on it.

Not a clinical term, but the behavior is well-documented in research on heavy news consumption during crises. Real, measurable, and worth interrupting.

Brain rot

Oxford’s 2024 Word of the Year.[3] Defined roughly as “the supposed deterioration of a person’s mental or intellectual state, especially viewed as the result of overconsumption of material (now particularly online content) considered to be trivial or unchallenging.”

There’s no clinical literature on “brain rot” as a construct. There is a growing body of research on attention impacts of short-video consumption — which is what people usually mean when they say “brain rot.” So: term is meme, underlying phenomenon is real enough.

Dopamine fasting

Originated in 2019 in the Bay Area tech scene; quickly went viral. The concept: avoid all sources of artificial dopamine — phone, sugar, novel content — for a defined period.

The pop version of dopamine fasting is mostly bunk. (Dopamine isn’t really how the term implies.) The behavioral version — voluntary reduction of high-stimulation inputs to recalibrate baseline — has some support from addiction researchers like Anna Lembke. Skip the breathless “fast” framing, keep the “reduce stimulating inputs for a while” practice.

Phubbing

“Phone-snubbing.” Ignoring a person you’re with in favor of your phone. Coined by an Australian ad agency in 2012, now used in real psychology research.

Studies on phubbing find it predicts lower relationship satisfaction, more conflict, and lower perceived empathy. Whether you call it phubbing or “being on your phone at dinner,” the research is real.

Tech neck

Postural and musculoskeletal issues from sustained downward head posture while looking at a phone. Real (it’s just biomechanics). Not unique to phones — books cause it too — but more common because phone use accumulates throughout the day.

The terms that are mostly empty

Digital detox

A vague catch-all for “I’m taking a break from screens.” Sometimes refers to a weekend off, sometimes to a month-long fast. No standard definition.

The research-supported version is bounded, partial reduction over time — not a dramatic all-or-nothing break. Detoxes that don’t address the post-detox equilibrium tend to just produce relapse cycles.

Tech addiction

Generic umbrella for any compulsive technology use. Not specific enough to be diagnostic or measurable. Use one of the more specific terms (social media addiction, smartphone addiction, IGD).

Algorithm anxiety

A more recent coinage referring to anxiety about how recommendation algorithms have profiled you. Real concept; no research instrument yet.

Screen time

The actual measured time spent on screens. Useful as a number. Less useful as a diagnostic. The current research consensus is that what you’re doing on screens matters more than total duration — passive scrolling looks different from active messaging from looking up directions.

The honest part

If you find yourself using these words to describe how you feel — doomscrolling, brain rot, nomophobic — it’s worth checking against the actual validated tests. The terms can be either accurate self-description or vague aesthetic complaint, and which one matters.

The four tests on this site cover most of the validated instruments:

Or, for the real picture: Social Breathalyzer pulls your actual platform exports and shows you 12 months of usage. The terminology matters less than the data.