Billboard truck calls out antisemitism in neighborhoods targeted weekly by anti-Israel protesters
Michael Teper, president of CAEF, described the mobile billboard campaign in a statement to The Jerusalem Post as an experiment to shift the community’s approach to public demonstrations.
A digital billboard truck sponsored by the Canadian Antisemitism Education Foundation (CAEF) appeared outside an intersection in Toronto on Sunday, displaying images and information of individuals recently arrested or sentenced on hate crime charges stemming from incidents during pro-Palestinian demonstrations in a densely Jewish area.
The mobile billboard campaign, described by CAEF president Michael Teper as an experiment to make antisemitism expensive, risky, and potentially involving jail time, aims to shift the community's approach to public demonstrations near Jewish institutions. The truck displayed a list titled "Recently Sentenced Ontario Antisemitic Criminals" with mugshots and bail conditions of those charged by law enforcement, warning activists not to be on the list and to obey the law.
The campaign follows rising community concerns over inflammatory rhetoric at weekly protests held at the intersection, leading to police interventions after clashes between pro-Palestinian and pro-Israel demonstrators. Toronto police had previously arrested individuals for willful promotion of hatred and public incitement after they allegedly retrieved antisemitic signs before marching toward counter-protesters.
The tensions escalated after footage circulated showing a speaker at a protest claiming the Zionists were the most kicked-out for their mischief and calling for the annihilation of Israelis, which was condemned by major Canadian Jewish organizations. The controversy comes amid a national surge in antisemitic incidents targeting Jewish and Israeli institutions in Canada, deepening concerns among Jewish Canadians about public safety and the limits of free speech during political demonstrations.
Written by urgent.news from Jerusalem Post's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.