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AI bots flooded 2023 UK government consultation on disposable vapes ban

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Cite

editor, D. C. H. p. (2026, October 27). AI bots flooded 2023 UK government consultation on disposable vapes ban. The Guardian. https://www.theguardian.com/society/2026/oct/27/ai-bots-flooded-2023-uk-government-consultation-disposable-vapes-ban

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The Guardian · collected 2026-10-27 · by Denis Campbell Health policy editor

Quick Summary

Health policy experts Dr Nason Maani and Prof Anna Gilmore disclosed research showing that AI bots submitted 76% of responses—90,835 out of 118,756 total—to a UK government consultation on banning disposable vapes in 2023. The Department of Health and Social Care used bot-detection methods to identify these fake submissions aimed at opposing the ban proposed by Rishi Sunak’s Conservative government. This incident marks what is believed to be the first large-scale automated interference in a formal public health policy consultation, raising concerns about future misuse of AI technology for manipulating public opinion on health regulations.
Written by AI on 2026-10-30, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

In October 2026, it was revealed that AI bots flooded a UK government consultation in 2023 aimed at banning disposable vapes with tens of thousands of fake responses. The Department of Health and Social Care (DHSC) reported that three-quarters of the 118,756 responses, or 90,835, were machine-generated to oppose the ban proposed by then-Conservative Prime Minister Rishi Sunak. Researchers Dr Nason Maani from the University of Edinburgh and Prof Anna Gilmore from the University of Bath identified this as likely the first coordinated use of AI to interfere with health policymaking in the UK. The DHSC employed bot-detection methods, noting that nearly all machine-generated responses came from a small number of IP addresses at high frequency. This incident raised concerns about potential tobacco industry interference and highlighted the need for better screening and transparency in public consultations.

Written for “AI Bots In UK Vape Ban Consultation” on 2026-10-31, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI Bots In UK Vape Ban Consultation
Politics · 1 article(s) covering the same event.

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How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
23
sentences that state something as happening or true
Uncertain
0%
0 of 23 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
66/100
The Guardian's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Politics
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-30 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

The Guardian · 2740 article(s) · 6 correction(s) detected
Running correction rate · 6 correction(s)

Who wrote this

Denis Campbell Health policy editor
6 article(s) here · 1 carrying a prediction
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Also by Denis Campbell Health policy editor
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 6 articles by Denis Campbell Health policy editor →

Topics

DHSC The Department of Health and Social Care Tobacco Control the University of Bath the University of Edinburgh

Subjects

DHSC ORG · 4× Anna Gilmore PERSON · 1× Conservative NORP · 1× Maani PERSON · 1× Nason Maani PERSON · 1× Rishi Sunak’s PERSON · 1× The Department of Health and Social Care ORG · 1× Tobacco Control ORG · 1× the University of Bath ORG · 1× the University of Edinburgh ORG · 1×

Narrative

Caroline Cerny, the deputy chief executive of Action on Smoking and Health, said: “Evidence that AI bots have been used to swamp a Department of Health consultation is deeply concerning. “Given the tobacco industry’s history of seeking to undermine public health regulation, we need to be alert to the risk that technological advances can be used to further commercial interests around health policy and put safeguards in place.
framing: assertive · carried by 1 article(s) · first seen 2026-10-30
🔮 Better screening and more transparency will help, but there’s no single fix.”
2026-10-30 · The Guardian
AI bots flooded 2023 UK government consultation on disposable vapes ban · assertive framing

Claims (23 extracted, 0 hedged)

AI bots flooded a government consultation with tens of thousands of fake responses in a failed attempt to stop the UK’s ban on disposable vapes. asserted
bots → flood → vapes
Three-quarters of all the responses to the 2023 consultation on the tobacco and vapes bill were machine-generated, in what is thought to be the first coordinated attempt to use AI to derail health policymaking in the UK. asserted
what → generate → UK
The attempt to manipulate the outcome of the consultation was disclosed on Tuesday in research published in the journal Tobacco Control by the health policy experts Dr Nason Maani, from the University of Edinburgh, and Prof Anna Gilmore, of the University of Bath. asserted
attempt → manipulate → Bath
The Department of Health and Social Care (DHSC) used bot-detection methods to identify that 90,835 of the 118,756 responses it received, 76%, were submitted by bots. asserted
it → use → bots
All but two of those 90,835 automated responses answered the same question in the “smoke free generation” consultation, in which they opposed Rishi Sunak’s Conservative government’s plan to ban disposable vapes. asserted
they → automate → vapes
The submissions were “often duplicated many times and sent at high frequency from a small number of IP addresses”, the DHSC said. asserted
DHSC → duplicate → addresses
The bombardment “appears to be the first documented instance of large-scale automated interference in a formal public health policy consultation”, the researchers said. asserted
researchers → appear → consultation
Maani added that while this attempt was identified, “the threat is that future campaigns become harder to catch, and what we can’t catch, we don’t know about. asserted
we → add → what
Such campaigns are a threat because they raise the possibility of a handful of powerful interests looking like a mass movement.” asserted
handful → raise → movement
The DHSC excluded the 90,835 automated responses from its decision-making. asserted
DHSC → exclude → making
Keir Starmer’s Labour government inherited the tobacco and vapes bill in 2024 and passed it into law, including the ban on businesses selling or supplying disposable vapes. asserted
government → inherit → vapes
Caroline Cerny, the deputy chief executive of Action on Smoking and Health, said: “Evidence that AI bots have been used to swamp a Department of Health consultation is deeply concerning. “Given the tobacco industry’s history of seeking to undermine public health regulation, we need to be alert to the risk that technological advances can be used to further commercial interests around health policy and put safeguards in place. asserted
advances → say → place
“Decisions that affect public health must be based on sound evidence and expertise, not manipulated response numbers.” asserted
that → affect → evidence
Azzurra Moores, the associate director for information ecosystems at the thinktank Demos, described the attempt to derail the ban as “pretty alarming”. asserted
Moores → describe → ban
“Public consultations are one of the main ways government opens up its decision-making, so any interference with them is a serious concern,” she said. asserted
she → open → them
“These findings are pretty alarming: if a consultation can be swamped like this, it stops telling policymakers what the public actually thinks and undermines trust in the process. asserted
public → swamp → process
Every barrier that keeps bots out also makes it harder for real people to take part, and AI makes fake responses far harder to spot. asserted
responses → keep → part
Interference can adapt faster than departments can update their checks. asserted
departments → adapt → checks
Better screening and more transparency will help, but there’s no single fix.” asserted
screening → help → ?
The DHSC said its “robust controls” identified the attempt to influence the consultation. asserted
controls → say → consultation
A spokesperson said: “We always have robust controls in place to prevent the manipulation of our public consultations, and those controls worked effectively in this case. asserted
controls → say → case
“As a result, the fake responses were removed, and the consultation helped inform the landmark action we are taking to create a smoke-free generation. asserted
we → remove → generation
“We will remain alert to interference of this kind in future consultation processes, and we will not be deterred from doing what is necessary to promote healthier living.” asserted
what → remain → living
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