Home 5 News 5 Canadian Reading Initiative Attracts 300,000 Children

Canadian Reading Initiative Attracts 300,000 Children

by | May 29, 2018 | News

Nasher

 

The ‘Street Reading’ initiative, which was launched by the Montreal Public Libraries Network in Canada in 1982, is proving to be more successful each year.

The innovative campaign has attracted more than 300,000 children from 70 schools and 200 other locations in the city of Montreal and its suburbs, who gather every year to read books and watch movies based on famous stories.

The primary goal of the initiative is to help underprivileged children in marginalised neighborhoods to discover the joy of reading. Having started as a project for schools, it soon started to attract thousands of children to events in parks, playgrounds, residential buildings and other public places.

Thanks to the positive interaction of publishers and libraries in Montreal, the initiative was able to continue with an annual budget of 20,000 Canadian dollars provided by the Canada Council for the Arts. The Municipality of Montreal recently announced the allocation of a huge budget of 2.1 million Canadian dollars to support reading initiatives dedicated to children living in the poor areas.

‘Street Reading’, which targets children aged 4 -12 years, also aims to offer children of non-French speaking immigrants the opportunity to read books and watch movies in other languages, including English, Spanish and Arabic and enable children to have access to books in remote places which have no public libraries.

Recent News

27Nov
Orion Acquires Liam Brown’s New Novel

Orion Acquires Liam Brown’s New Novel

Hachette imprint Orion Fiction in the UK has bought a novel set in the world of publishing by Birmingham-based creative writing lecturer Liam Brown. Sarah O’Hara, editor, acquired UK and Commonwealth rights (excluding Canada) to Fanfiction from Salma Begum at Grehound Literary.  Orion plans to launch Fanfiction “with an unmissable campaign in hardback, trade paperback, […]

25Nov
New Zealand Disqualifies Books Over AI Covers

New Zealand Disqualifies Books Over AI Covers

The books of two award-winning New Zealand authors have been disqualified from consideration for the country’s top literature prize because artificial intelligence was used in the creation of their cover designs. Stephanie Johnson’s collection of short stories Obligate Carnivore and Elizabeth Smither’s collection of novellas Angel Train were submitted to the 2026 Ockham book awards’ […]

25Nov
Thousands of Titles Shine at Kuwait Book Fair

Thousands of Titles Shine at Kuwait Book Fair

The Kuwait International Book Fair continues to draw remarkable momentum, with more than 611 publishing houses from 33 countries filling its halls with a vibrant tapestry of books. The aisles unfold like a vast map of knowledge, new releases intersect with timeless classics, and scientific works sit alongside novels, history, and the arts. With hundreds […]

Related Posts

New Zealand Disqualifies Books Over AI Covers

New Zealand Disqualifies Books Over AI Covers

The books of two award-winning New Zealand authors have been disqualified from consideration for the country’s top literature prize because artificial intelligence was used in the creation of their cover designs. Stephanie Johnson’s collection of short stories...

Thousands of Titles Shine at Kuwait Book Fair

Thousands of Titles Shine at Kuwait Book Fair

The Kuwait International Book Fair continues to draw remarkable momentum, with more than 611 publishing houses from 33 countries filling its halls with a vibrant tapestry of books. The aisles unfold like a vast map of knowledge, new releases intersect with timeless...

National Book Awards Announce 2025 Winners

National Book Awards Announce 2025 Winners

Rabih Alameddine has won the National book award for fiction for The True True Story of Raja the Gullible (and His Mother), a darkly comic saga spanning six decades in the life of a Lebanese family. The novel, which traverses a sprawling history of Lebanon including...

Previous Next
Close
Test Caption
Test Description goes like this