Fionnuala Bourke

Group Digital Editor

Preston's Summary

Fionnuala Bourke is the Group Digital Editor at Midland News Association. With over 20 years of experience in journalism, she has extensively covered themes such as crime, transportation, and lifestyle, with a particular focus on events and consumer travel. Fionnuala's work has been featured in prominent publications including ManchesterWorld, Yahoo Sports UK, and the Daily Mirror.

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

Geo Focus

Birmingham, United Kingdom (Local)

Coverage Attributes:

Beta
Evolving Stories: 27 %
Breaking News: 25 %
Government Announcement: 18 %
Event Coverage: 16 %
Press Release: 3 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Disaster & Emergency Response
  • Public Event Safety
  • Public Surveillance Systems
  • Event Management Software
  • Public Transportation
  • Transportation Policy & Regulation

Pitching Insights

Fionnuala’s coverage is heavily focused on local events in Birmingham, with particular attention to evolving stories and breaking news related to crime, house & home, and entertainment. Pitches should focus on providing insights or access to individuals involved in these types of local incidents or developments.

Given the high percentage of evolving stories covered by Fionnuala, she may be particularly interested in pitches that offer unique angles or exclusive information regarding ongoing events and how they are impacting the local community. This could include expert commentary from relevant professionals or firsthand accounts from those directly affected.

Additionally, given her emphasis on event coverage, it would be beneficial for outreach efforts to highlight any upcoming events related to house & home improvements or local entertainment that align with her area of interest.

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

Journalists With Similar Coverage:

Based on similarity of content.