A look at the LA Times' AI “Insights”: much of the cited sourcing wouldn't pass scrutiny in a newsroom or a classroom, and the political labels can be confusing
The hope: The L.A. Times will appear more “objective” if it presents both sides of an issue, even if one side's written …
Nieman LabLaura Hazard Owen
Context & Ripple Effects
The L.A. Times introduced AI-generated political ratings and alternative viewpoints for opinion pieces, positioning the tool as a way to surface perspective rather than leave it implicit. This scrutiny tests whether that AI labeling initiative can meet the sourcing and editorial standards expected of a news publisher.
The issue became operational immediately when the paper removed Insights from a column after it produced an indefensible framing, as reported in the early rollback of the feature. The episode sharpens a recurring newsroom problem: reader-facing AI summaries and labels carry editorial authority even when their underlying research process is opaque.
First-order effects
The L.A. Times faces pressure to review or constrain Insights’ citations and political classifications before presenting them alongside published work.
Readers and opinion contributors may find the labels less credible when their sourcing and category choices cannot be readily scrutinized by newsroom standards.
Second-order effects
Publishers deploying AI summaries or contextual overlays will need stronger human review, source disclosure, and escalation rules; executives have already identified reliability as a central issue for AI summaries in newsrooms testing reader-facing AI summaries.
Vendors and editorial teams will be judged not only on whether an AI feature generates useful context, but on whether its provenance and framing can withstand public challenges.
Third-order effects
If publishers continue to attach AI-generated interpretation to journalism, editorial governance may shift from reviewing only articles to auditing the models, sources, and taxonomies that shape readers’ understanding of them.
The case suggests that “neutrality” features can become trust liabilities when automated balance treats poorly supported or misleading material as a legitimate counterpart; sustained adoption will depend on demonstrable accountability rather than the appearance of even-handedness.
The trend: News organizations are moving from using AI behind the scenes to placing AI-generated interpretation directly in front of readers, making editorial provenance and accountability core product requirements.
I wrote about the LA Times' broken “AI” bias system and how billionaires want to use half-baked automation to cut corners, undermine labor, and normalize and validate the biases of wealthy (usually right wing) media ownership
i spent a ton of time with the new AI “perspectives” feature on @latimes.com opinion content and...you'll be shocked to hear there are problems www.niemanlab.org/2025/03/the- ...
So this is an interesting idea, and it's good to see people thinking about how to use AI, but it's also a really clear example of how you need humans involved at every step of the way to curatestuff, make sure it's not producing rubbish or picking weak sources etc www.niemanlab.o…
Billionaire publisher wanted AI-generated counterpoints to his writers. One published AI “insight” was a defense of the KKK. www.niemanlab.org/2025/03/the- ... via @niemanlab.org
This comes after LA Times owner Patrick Soon-Shiong wrote a letter today announcing “an AI-driven feature” that offers “an instantly accessible way to see a wide range of different AI-enabled perspectives.” — It's day one, and it's already bothsides-ing the KKK. — www.latimes…
Jeff Bezos has his free market WaPo opinion section & Patrick Soon-Shiong just announced a fantastical AI Objectivity Machine for the LA Times. — Billionaire ownership of the press is...quite something. — www.latimes.com/california/s... [image]
What the hell is this? Do you mean to tell me that a company didn't thoroughly test a generative AI tool before broadly rolling it out? Say it ain't so! [embedded post]
Things are going great in the realm of adding unnecessary AI nonsense into critical news sources! — I mean, it's great if you're a white-adjacent Afrikaner-sympathetic post-apartheid refugee who wants to re-segregate America as a replacement for your once-segregated birthplace.
This is so spectacularly idiotic and a dereliction of duty as an owner of a newspaper that doesn't have a publisher and has been stuck in labor negotiations for over two years. — www.thedailybeast.com/maga-newspap...
Earlier today the LA Times had AI-generated counterpoints to a column from @gustavoarellano.bsky.social. His piece argued that Anaheim, the city he grew up in, should not forget its KKK past. — The AI “well, actually”-ed the KKK. It has since been taken off the piece. — www…
If you're going to use your paper to make an argument in an opinion piece, you should be forced to put a name on it. — AI slop can take anything and regurgitate it without attribution. If you're going to platform pro-KKK content, put a face to it so we can see who holds those …
More developments from the important new breakthrough of billionaire newspaper owners fixing their publications' broken opinion sections. https://www.thedailybeast.com/ ...
It looks like the Los Angeles Times has appended an AI-generated counterpoint to this opinion column on the KKK, which points out the Klan's roots in “white Protestant culture.” https://www.latimes.com/... [image]