Melanie Dasilva

Preston's Summary

Melanie Dasilva is a journalist based in Providence, Rhode Island. She writes for WPRI Connects and her work has also appeared in KTVI FOX 2, KOIN-TV, and KRQE News. Melanie covers local news stories, including crime, development, weather-related events, and community events in the Rhode Island area.

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

Geo Focus

Newport, United States (Local)

Coverage Attributes:

Beta
Evolving Stories: 28 %
Breaking News: 28 %
Government Announcement: 12 %
Event Coverage: 9 %
Press Release: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Commercial Airlines
  • Individual Sports
  • Construction Industry
  • Home & Garden
  • Team Sports

Pitching Insights

Melanie's coverage primarily revolves around local news and evolving stories, with a strong emphasis on crime-related topics. She is likely to respond well to pitches related to ongoing criminal cases, developing incidents in Rhode Island or Providence, and breaking news from the region.

Given her focus on local events and evolving stories in Rhode Island and New England, she may be interested in receiving pitches regarding newsworthy events or developments unique to these areas. This could include exclusive insights into local happenings or access to individuals involved in significant community initiatives.

Consider tailoring your outreach to offer Melanie first-hand accounts of unfolding situations within her geographic focus that align with her interest in crime-related content.

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
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data