Book Review - The Men Who Killed the News


๐Ÿ“– Another book review โ€“ The Men Who Killed the News ๐Ÿค“

To be honest, a lot of it went over my head ๐Ÿซ 

Eric Beecher packs the book with deep historical context and industry insight. Heโ€™s clearly a sharp, experienced journalist with decades in the field, which made it a challenge for me to absorb all the detail. He covers 150+ years of (mostly Western) media history and weaves in some wild stories, like getting sued by Lachlan Murdoch, or the time a plane crash was buried because โ€œDonโ€™t you know we own half an airline?โ€. Itโ€™s a very interesting insight into the workings of a newsroom.

To help myself grasp the bigger picture, I (the bot and I) built a few simple visualisations:

๐Ÿ“Š Timeline โ€“ hard to believe The New York Times was founded in 1851. Outlet timeline

๐Ÿ“Š Ownership โ€“ a quick look at who owns what. Outlet ownership

๐Ÿ“Š Audience size โ€“ stark contrast between traditional and new media platforms. Outlet size

Beyond the drama and power plays involving political leaders, Beecher makes a strong case that the news business model is broken and is undergoing massive change.

The following quote perhaps demonstrates the business model of the news industry for the last century.

โ€œHalf the money I spend on advertising is wasted; the trouble is I donโ€™t know which half.โ€ - John Wanamaker

Which isnโ€™t the problem anymore with digital media. The last chart says it all: platforms like Facebook and Instagram now dominate attention and distribution, vastly outpacing traditional outlets in audience size. Thatโ€™s how many people get their โ€œnewsโ€ today.

A lot more freedom and choice is given to the reader today. But with freedom, comes โ€ฆ responsibility ๐Ÿ•ท๏ธ And trustable journalism needs to continue to evolve and find ways to fund itself.

Eric also delves deeper philosophical dilemma: what is objective journalism and how do to it ethically in a system where commercial incentives often pull in the opposite direction? And in what cases do the means justify the end? The individuals and the industry as a whole is constantly wrestling with these trade-offs.

๐Ÿ”ง Btw, the visualisation isnโ€™t meant to be comprehensive. So got suggestions? Spot an error? Want to add an outlet? Feel free to open an issue or make a pull request ๐Ÿ˜„

๐Ÿ–ฑ๏ธ You can play around with it here

๐Ÿ“ GitHub CSV