Lia Lévesque
AS SEEN ON

Preston's Summary

Lia Lévesque is a journalist based in Montreal, Quebec, focusing on local news and issues. She writes for the Montreal Gazette and CTV News Montreal, covering topics such as labor strikes, negotiations, and education. Lia is dedicated to providing accurate and timely information to the community she serves.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Montreal, Canada (Local)

Coverage Attributes:

Beta
Government Announcement: 63 %
Legal Policy Regulation: 8 %
Cites Data: 5 %
Press Release: 4 %
Breaking News: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Government
  • Health News
  • Infrastructure Development
  • Retirement Planning
  • Public Policy

Pitching Insights

Lia Lévesque's reporting focuses heavily on local government announcements, particularly in Quebec. She covers strikes, negotiations, and unions within the context of Quebec’s public sector. Given her emphasis on these topics and regions, she is likely to be interested in pitches related to labor disputes, government policy affecting public sector employees, or developments within trade unions in the region.

For effective outreach to Lia Lévesque, consider providing insider perspectives from union representatives or workers involved in strikes and negotiations. Additionally, academic experts specializing in labor relations or political analysts with a focus on Quebec could offer valuable insights for potential collaboration.

Given Lia's geographic focus on Canada (specifically Quebec), emphasizing relevance to this area will increase the likelihood of engagement with your pitch.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data