Charissa Cheong

First Person Reporter

AS SEEN ON

Preston's Summary

Charissa Cheong is a First Person Reporter at First Person. She specializes in technology, software, and artificial intelligence, with a focus on AI platforms, generative AI, startups, and issues surrounding data protection and privacy laws. Charissa's work has been featured in prominent publications such as Sight Magazine, Yahoo News, Insider, Business Insider India, and Entrepreneur.

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

Geo Focus

Coverage Attributes:

Beta
Informative: 66 %
Interviews Q&as: 21 %
Data Driven: 3 %
Opinion: 3 %
Profile Feature: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Corporate Finance
  • Entrepreneurship
  • Labor Markets
  • Layoffs
  • Retirement Planning
  • Saving & Investing

Pitching Insights

Charissa's coverage focuses on generational issues, social media influencers, and family dynamics. She frequently includes expert commentary in her articles, making her likely to be responsive to pitches from professionals who can provide insight into the behavior and trends of specific generations or social media influence.

Considering that Charissa often covers evolving stories and opinion editorials related to generation-specific topics such as Generation Alpha and Millennials, experts with a deep understanding of these demographics may find success when reaching out for interviews or quotes. Additionally, those well-versed in how social media influences family dynamics could pique her interest.

Her geographic focus is not specified within the provided information; therefore, it's important for potential sources to offer insights relevant on an international scale if they are looking to reach out effectively.

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