Kristen Spicker

Content Coordinator and Breaking News Team

Preston's Summary

Kristen Spicker is a Breaking News Reporter and Content Coordinator for the Dayton Daily News. With a focus on local news in Dayton, Ohio, Kristen covers a wide range of topics including crime, accidents, fires, and other breaking news stories. Her work has been featured in various publications and news outlets, showcasing her dedication to providing timely and accurate information to the community.

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

Geo Focus

Dayton, United States (Local)

Coverage Attributes:

Beta
Evolving Stories: 45 %
Breaking News: 45 %
Government Announcement: 4 %
Event Coverage: 1 %
Legal Policy Regulation: 1 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Court Proceedings
  • Legal Reform
  • Disaster & Emergency Response
  • Public Event Safety
  • Pets
  • Veterinary

Pitching Insights

Kristen Spicker's focus is on local crime, traffic accidents, legal cases, and public safety in the Dayton area. If you have firsthand knowledge or expertise related to evolving crime stories or breaking news events in this region, especially those involving traffic accidents or ongoing legal cases, your insights could be valuable for her coverage.

As a journalist with a strong emphasis on local reporting and evolving stories related to crime and public safety incidents in the Dayton area of Ohio, Kristen would likely appreciate pitches that offer exclusive information about ongoing criminal investigations or nuanced perspectives on recent high-profile incidents.

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
Jen Balduf
Desk investigator/reporter
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data