John Herrman

Tech Columnist

Preston's Summary

John Herrman is a tech columnist at Intelligencer. He covers a range of topics including artificial intelligence, e-commerce, and the intersection of technology with government and politics, often exploring the impact of platforms like Twitter and TikTok. Herrman's work has been featured in notable publications such as The New York Times and New York Magazine.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Cites Data: 21 %
Legal Policy Regulation: 21 %
Press Release: 19 %
Opinion Editorial: 7 %
Government Announcement: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

Not enough data icon

Not enough data

Pitching Insights

John Herrman's articles focus on technology, particularly the impact of tech companies and trends in content and publishing. He frequently references press releases and data to support his coverage.

When reaching out to John, consider providing access to exclusive data or insights related to artificial intelligence, influencers, e-commerce, or social media. Given his interest in how technology affects society and industry trends within content creation and publishing, pitches should be tailored with a focus on these areas.

As John does not have a specified geographic focus but is based in the United States, he may appreciate information that pertains specifically to U.S.-based companies or has broader implications for the U.S. market.

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

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Mike Pearl
Journalist
Most recent topics
Not enough data
James Vincent
Senior Reporter
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data