Motion or amendment: Tackling Online Violence Against Women and Girls

Motion or amendment by Mr Matthew O'Toole on .

MLA
Mr Matthew O'Toole
Party at the time
Social Democratic and Labour Party
Date
6 January 2025
Type
Motion or amendment
Business
Motion · Private Members' Motion
Heading
Tackling Online Violence Against Women and Girls
Assembly identifier
Document 422733

Read the official Assembly record Open Data source

Text

Tackling Online Violence Against Women and Girls

That this Assembly expresses alarm at the growing issue of online violence against women and girls, particularly the increasing use of deepfake imagery; notes that deepfake abuse disproportionately targets women, with studies indicating that over 90 per cent of non-consensual deepfake imagery involves female victims; acknowledges that current legislative frameworks are unfit in addressing emerging forms of online abuse, such as deepfake technology; calls on the Minister of Justice to commission a comprehensive review of existing criminal law on online violence against women and girls to ensure all forms of abuse are adequately captured and dealt with; and further calls on the Minister to write to the Secretary of State for Digital, Culture, Media and Sport and the Secretary of State for Science, Innovation and Technology, requesting a clear timeline for the introduction of legislation to adequately criminalise deepfake abuse.

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

Assessment

Not flagged

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: 0.04 (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 (0.95).
  • No identity-based framing was identified (0.85).
  • 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

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
QuestionProbabilityMet?
Identity framing0.08No
Sectarian or communal antagonism0.02No
Cultural grievance politics0.02No
Dog-whistle messaging0.02No
Controversy escalation0.03No
Legitimate policy scrutiny0.95Yes
Overall judgement0.04At or below not-flagging threshold
Context and attribution (stance)
OptionProbability
No identity-based framing (chosen)0.85
Reports or questions it0.00
Criticises or condemns it0.15
Adopts it0.00
Subject area (top five)
SubjectProbability
Sexism, misogyny, ageism and other equality groups0.76
Gender, sexuality, abortion and related social issues0.24
No identity-related subject0.00
Flags, emblems, symbols, names and memorials0.00
Parades, bonfires and commemorations0.00

Assessed 21 October 2026 at 09:01 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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