Molly Burke

Hearst Fellow

AS SEEN ON

Preston's Summary

Molly Burke is a Hearst fellow covering politics for the San Francisco Chronicle. With a background in breaking news and data reporting, she has explored themes such as internet culture, public event safety, and law enforcement technology throughout her career. Molly's work has been featured in numerous outlets, including NY Cannabis Insider, Yahoo News, and ProPublica.

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

Geo Focus

Warren, United States (Local)

Coverage Attributes:

Beta
Government Announcement: 25 %
Evolving Stories: 15 %
Breaking News: 15 %
Informative: 15 %
Event Coverage: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Internet Culture
  • Pop Culture
  • Disaster & Emergency Response
  • Public Event Safety
  • Law Enforcement Technology
  • Police

Pitching Insights

Molly Burke's coverage is primarily focused on local sports, specifically Sheffield Wednesday football club. She also covers government announcements and legal policy regulations to a significant extent.

Given her focus on Sheffield Wednesday and football in general, she would likely be interested in pitches related to exclusive player interviews, behind-the-scenes stories about the club, or any breaking news regarding contracts or team changes.

As for the political aspect of her coverage, Molly could engage with pitches that provide insights into how government policies may impact local sports teams or delve into the intersection of politics and sports within Sheffield.

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
Macleod Hageman
Senior Reporter
Most recent topics
Not enough data
Rachel Ryan
Digital Producer
Most recent topics
Not enough data