Debate contribution: Display of Flags and Emblems Bill: Second Stage

Debate contribution by Mr Paul Frew on 14 September 2026.

MLA: Mr Paul Frew
Party at the time: Democratic Unionist Party
Date: 14 September 2026
Type: Debate contribution
Business: Private Members' Business
Heading: Display of Flags and Emblems Bill: Second Stage
Assembly identifier: Official Report component 5686757

Text

The Member asks a legitimate question. However, do you think that the people who put up those flags with the face of a terrorist on them are going to apply to notify the Department? Really?

35 words. Text as published by the Northern Ireland Assembly.

Assessment

Flagged Flags, emblems, symbols, names and memorials

Jev’s structured answers met every documented threshold for flagging as culture-war activity.

Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.69 (flagging needs at least 0.70; at or below 0.30 is not flagged).
Criteria met: Dog-whistle messaging (0.79).
The text adopts the identity-based framing in its own voice (0.75).
Subject area: Flags, emblems, symbols, names and memorials.
The text adopts an antagonistic or dog-whistle framing, which is flagged even alongside legitimate scrutiny.

What a flag means. A flag means the activity contains at least one instance of culture-war framing that met the published test. It does not mean the whole activity is divisive, or that its substantive arguments are wrong.

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

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
Question	Probability	Met?
Identity framing	0.42	No
Sectarian or communal antagonism	0.44	No
Cultural grievance politics	0.38	No
Dog-whistle messaging	0.79	Yes
Controversy escalation	0.47	No
Legitimate policy scrutiny	0.14	No
Overall judgement	0.69	Between thresholds

Context and attribution (stance)
Option	Probability
No identity-based framing	0.05
Reports or questions it	0.02
Criticises or condemns it	0.18
Adopts it (chosen)	0.75

Subject area (top five)
Subject	Probability
Flags, emblems, symbols, names and memorials	0.66
Legacy of the Troubles, victims and paramilitarism	0.28
Sectarianism, hate crime and community relations	0.03
No identity-related subject	0.02
Parades, bonfires and commemorations	0.00

Assessed 21 October 2026 at 16:17 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

Disagree with this assessment?

A second, larger AI model can read this record again, without being told the MLA’s name or party, against the same published rubric. It also asks whether the activity mainly serves the public interest or mainly advances division. Its verdict replaces the current one, whichever way it goes, and its reasons are published here. Each record can have one second assessment.

If you still think the record or its classification is wrong after that, or the record itself has a factual error, you can challenge it. A person reads every challenge, and any change is recorded publicly above with its reason.