Ariel Parrella-Aureli

Journalist

Preston's Summary

Ariel Parrella-Aureli is a journalist based in Chicago, focusing on local news and community stories. They have written for publications such as Block Club Chicago, WTTW, Chicago Reader, and Latino USA. With a passion for cycling and a love for the Italian language, Ariel brings a unique perspective to their reporting.

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

Geo Focus

Chicago, United States (Local)

Coverage Attributes:

Beta
Government Announcement: 26 %
Event Coverage: 17 %
Evolving Stories: 14 %
Press Release: 11 %
Private Sector Announcements: 11 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Real Estate Development
  • Animal Rights
  • Beverage Production
  • Commercial Real Estate
  • Construction Industry

Pitching Insights

Ariel's coverage focuses heavily on local community issues in the Logan Square neighborhood of Chicago. She regularly covers government announcements and events, with a significant emphasis on topics such as crime, affordable housing, home & home, and government & politics.

Those looking to pitch to Ariel should consider providing insights or access to individuals involved in local initiatives related to community development, affordable housing projects, crime prevention efforts, small business support programs within the Logan Square area and wider Chicago. Pitches that touch upon these key themes will likely resonate strongly with her coverage focus.

Considering her articles' geographic focus on Illinois and Chicago (specifically Logan Square), proposals for stories involving developments in this area would be most relevant for her audience.

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
Molly Devore
Municipal Government Reporter
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
Most recent topics
Not enough data