School Shooting Data Analysis and Reports
Back to School Shootings
Bonus Botcast 2: GoogleLM explores the Issue Attention Cycle and Law of Unintended Consequences
1
0:00
-23:55

Bonus Botcast 2: GoogleLM explores the Issue Attention Cycle and Law of Unintended Consequences

A new Google AI tool will turn written articles into a podcast. AI 'hosts' discuss my recent article on two social theories that impact school safety.
1

This is not a “real” podcast in the traditional sense of the word. Google has a new AI tool called Notebook LM creates podcasts from text articles. I didn’t write the script. The voices you hear are completely generated by Google’s language models.

The botcast is based on my article: School Shootings: Issue Attention Cycle & Law of Unintended Consequences

My article argues that the public's attention to school shootings is a cyclical pattern: intense focus in the immediate aftermath of an event, followed by a decline in interest. This cycle often leads to hastily implemented policies that fail to address the issue effectively and can even have unintended negative consequences.


David Riedman is the creator of the K-12 School Shooting Database, Chief Data Officer at a global risk management firm, and a tenure-track professor. Listen to my weekly podcast—Back to School Shootings—or my recent interviews on Freakonomics Radio, New England Journal of Medicine, and my article on CNN about AI and school security.

School Shooting Data Analysis and Reports is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Discussion about this podcast