Shawn Hubler

California Correspondent

Preston's Summary

Shawn Hubler is a California Correspondent for various publications, including the San Francisco Examiner, The New York Times, and صحيفة الشرق الأوسط. With a focus on local news in California, particularly in Los Angeles, Shawn covers a wide range of topics including politics, social issues, and cultural events. Her work has also been featured in The Seattle Times and Yahoo News.

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

Geo Focus

San Francisco, United States (Local)

Coverage Attributes:

Beta
Evolving Stories: 31 %
Legal Policy Regulation: 17 %
Government Announcement: 17 %
Breaking News: 15 %
Event Coverage: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Elections
  • Government
  • Politics
  • Public Policy
  • Security Policy
  • Tech Policy
  • Film Industry
  • Filmmaking
  • Filmmaking Equipment
  • Lawsuits

Pitching Insights

Shawn Hubler's coverage is mostly focused on local news, particularly in California and Los Angeles. She covers a wide range of topics including government & politics, weather, crime, and LGBTQ+ rights. Given her focus on evolving stories and breaking news related to government announcements and legal policy regulation at the local level, she would likely be interested in pitches that provide unique insights or access to individuals involved in ongoing political developments within California.

Given Shawn's interest in politics at the state and local levels as well as issues such as LGBTQ+ rights and crime, individuals with expertise or direct involvement in these areas could make compelling sources for her articles. Additionally, given her focus on breaking news events related to weather issues specifically within California could also be of interest when pitching relevant content.

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

Journalists With Similar Coverage:

Based on similarity of content.