Smartphone and social media addiction: Exploring the perceptions and experiences of Canadian teenagers
Bibliographic record
Abstract
"Addiction" to internet-connected technology continues to dominate media discourses of young people. Researchers have identified negative outcomes, including decreased mental health, resulting from anxieties related to technology, e.g., a fear of missing out and social connectivity related to online technologies. Not enough is known, however, regarding young people's own responses to these ideas. This paper highlights discussions with teenagers around the idea of internet addiction, exploring their experiences and perceptions regarding the idea that "kids today" are addicted to their devices, especially smartphones and the social network sites they often access from them. Thirty-five focus group discussions with 115 Canadian teenagers (aged 13-19 years old) center on their use of information communication technologies, especially contemporary social network sites such as Snapchat, Instagram and Facebook. Our discussions reveal (1) that teens are actively embracing the label of addiction; (2) their ironic positioning occurs despite a felt sense of debased agency in relation to the power of the algorithms and affordances of the technologies mediating their use; and (3) rather than a stark divide between adults as "digital immigrants" versus young people as "digital natives," our teens positioned themselves in contrast to both their parents and younger siblings, both of whom are criticized as addicted themselves. A consistent theme is the influence of peer groups who socially compel addictive behaviours, including the fear of missing out, rather than the technologies per se. Wider implications for thinking beyond solely young people as suffering from online addiction are considered.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".