Debate contribution: Social Media: Children and Young People
Debate contribution by Mr Gerry Carroll on .
- MLA
- Mr Gerry Carroll
- Party at the time
- People Before Profit Alliance
- Date
- 10 February 2026
- Type
- Debate contribution
- Business
- Opposition Business
- Heading
- Social Media: Children and Young People
- Assembly identifier
- Official Report component 5435950
Read the official Assembly record
Text
Social media has been largely self-regulated. In practice, that means little regulation or at least none that threatens the bottom lines of those companies, which are profit and wealth. Recommender algorithms bombard children and young people with harmful material that promotes self-harm, eating disorders and suicide, as was alluded to by the Member opposite. Our young people are being shown a relentless stream of toxic content that promotes misogyny, racism and transphobia, and social media companies keep us in the dark about the parameters of their toxic algorithms and do not even disclose that detail to the Government for scrutiny. They routinely prioritise trade secrets and commercial confidentiality over children's health and well-being. The Center for Countering Digital Hate looked at the videos that YouTube recommends to a 13-year-old Irish girl who watched one video about eating disorders. One in three future recommendations were for harmful eating disorder content. Two in three were related to eating disorders or weight loss, and one in 20 involved self-harm or suicidal content, so the algorithms are clearly a public health issue.
A study by University College London (UCL) and the University of Kent found a fourfold increase in the level of misogynistic content that TikTok suggested over a five-day period. That is pushed on our young people, because it is presumed that extreme content will keep them online and on the apps for longer. In other words, the companies are pushing extreme content at children and young people and encouraging them into screen addiction so that they can monetise them, because they see them as consumers and customers. In the Dáil, my party colleagues have introduced a Bill to tackle toxic recommender algorithms. They have had no choice but to introduce that legislation, because social media companies are failing to protect children. An outright ban is not the answer, because social media can often be a lifeline for young people, LGBTQ+ people and neurodivergent communities. Cutting them off from friends and access to vital support could leave many vulnerable people feeling disconnected. Two months into Australia's social media ban for under-16s, young people are already finding ways to circumvent the ban. They pivot to alternative apps that do not require an account and re-emerge on platforms with fake birthdays. That was all entirely predictable. As with other prohibitionist policies, consumption does not end; it is just forced underground. Young people already feel increasingly isolated, which is a problem that a ban does not and cannot address. I will move on, in the interests of time.
Will I get an extra minute?
Sorry.
Maith go leor.
We need to focus on the multinational companies and hold them to account for allowing toxic content to thrive on their platforms. They have run the show for too long. We should not blame children and young people for a system created by adults —
— who are focused on profit and wealth. I support the motion and the amendment.
492 words. Text as published by the Northern Ireland Assembly.
Assessment
Jev’s structured answers met the documented threshold for “not flagged”.
- Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.05 (flagging needs at least 0.70; at or below 0.30 is not flagged).
- None of the five culture-war criteria was met (each was below 0.60).
- Assessed as legitimate policy scrutiny (0.93).
- The text criticises or condemns the framing or division (0.57).
- Subject area: Sexism, misogyny, ageism and other equality groups.
- The overall probability was at or below the not-flagging threshold.
This is an AI-generated assessment of the text, made against published criteria. It is not a finding of fact about the MLA or their intentions. The Assembly record itself is the fact.
Jev’s structured answers
| Question | Probability | Met? |
|---|---|---|
| Identity framing | 0.06 | No |
| Sectarian or communal antagonism | 0.03 | No |
| Cultural grievance politics | 0.02 | No |
| Dog-whistle messaging | 0.04 | No |
| Controversy escalation | 0.05 | No |
| Legitimate policy scrutiny | 0.93 | Yes |
| Overall judgement | 0.05 | At or below not-flagging threshold |
| Option | Probability |
|---|---|
| No identity-based framing | 0.43 |
| Reports or questions it | 0.00 |
| Criticises or condemns it (chosen) | 0.57 |
| Adopts it | 0.00 |
| Subject | Probability |
|---|---|
| Sexism, misogyny, ageism and other equality groups | 0.54 |
| Gender, sexuality, abortion and related social issues | 0.43 |
| No identity-related subject | 0.01 |
| Disability (including neurodivergence and mental health), disabled people and disability or sickness benefits | 0.01 |
| Another identity-related subject | 0.01 |
Assessed 21 October 2026 at 14:52 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.
Disagree with this assessment?
Classifications can be challenged. A person reads every challenge, and any change is recorded publicly above with its reason.