Lee Devito

Lee DeVito

Preston's Summary

Lee DeVito is the Editor-in-Chief of the Detroit Metro Times, with a focus on local news and culture in Michigan and specifically Detroit. His work has also been featured in Scene Magazine (Times-Shamrock) and Creative Loafing Tampa. Lee covers a wide range of topics, including music, arts, entertainment, local events, and breaking news in the Detroit area.

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

Geo Focus

Detroit, United States (Local)

Coverage Attributes:

Beta
Event Coverage: 33 %
Press Release: 17 %
Private Sector Announcements: 15 %
Government Announcement: 7 %
Legal Policy Regulation: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Celebrities
  • Concerts & Festivals
  • Cannabis Business
  • Politics

Pitching Insights

Lee Devito predominantly covers entertainment news with a focus on local events and music in Detroit, Michigan. His articles also cover crime, politics, and private sector announcements relevant to the area.

Given this focus, sources related to the local entertainment industry would likely be well-received. Additionally, individuals or organizations involved in event planning and hosting could provide valuable insight. As Lee has an interest in political figures at times, experts familiar with local politics may find success pitching stories that intersect with entertainment or events.

Pitching topics such as new venue openings, musician spotlights from Detroit artists or upcoming local events aligns closely with his coverage attributes and themes.

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

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Layla McMurtrie
Digital Content Editor
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data