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TikTok posts in alleged support of Islamic State lead to arrest of Quebec man
Police say the investigation began after an online tip, and investigators are seeking a terrorism peace bond that could add monitoring conditions.
- On Thursday, the Royal Canadian Mounted Police arrested 40-year-old Mohamed Ali Ben Chaoua at his home in Que. after investigating his alleged support for the Islamic State on TikTok.
- The investigation began in March 2025 after the National Security Information Network received a tip regarding a TikTok user sharing content linked to the Islamic State.
- Police currently lack sufficient evidence to lay criminal charges but are seeking a terrorism peace bond under the Criminal Code to impose monitoring conditions and de-escalation tools.
- Ben Chaoua is scheduled to appear Friday at the Quebec City courthouse, where a judge will evaluate conditions such as weapons prohibitions or residence requirements.
- Erique Gasse warned that sharing content linked to terrorist groups can lead to charges in Canada. "It's not only bombs and guns," Gasse said, emphasizing online threats merit intervention.
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RCMP Arrests Quebec Man for Pro-Islamic State TikTok Posts
The RCMP said they have arrested a man in Quebec who posted TikTok videos in support of the Islamic State, as officers feared he would go on to commit terrorism offences. The RCMP announced on May 21 that 40-year-old Mohamed Ali Ben Chaoua was arrested in Lévis, Que. The purpose of the police operation was to compel him to “cease his suspicious activities and to lay a terrorism peace bond.” An investigation began in March 2025 following a report…
·New York, United States
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Le Journal de MontrealReposted by 
Le Journal de Quebec
Le Journal de QuebecOn Thursday, the RCMP arrested a man from Lévis, fearing that he might carry out terrorist actions.
·Montreal, Canada
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The 40-year-old reportedly distributed numerous publications on TikTok in support of the terrorist organization.
·Montreal, Canada
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Total News Sources12
Leaning Left5Leaning Right3Center3Last UpdatedBias Distribution46% Left
Bias Distribution
- 46% of the sources lean Left
46% Left
L 46%
C 27%
R 27%
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