Robert Reich slams the NYT For 'dangerously fraudulent' coverage

What happened

Robert Reich accused The New York Times of “dangerously fraudulent” coverage for presenting online reactions to a Michigan Senate debate between Republican Mike Rogers and Democrat Abdul El-Sayed as two roughly equivalent partisan narratives. As described by AlterNet, the Times analyzed more than 13,000 posts on X and contrasted what purportedly left- and right-leaning feeds showed users.

The Times reported that left-leaning accounts emphasized El-Sayed’s positions on war, affordability, and healthcare, while right-leaning accounts frequently attacked his Muslim faith, questioned his medical background, or praised Rogers’s demeanor. Reich argued that packaging those responses as symmetrical “dueling narratives” obscured differences in both substance and the candidates’ records.

The AlterNet article supplies Reich’s critique but not the underlying Times analysis, dataset, classification method, or responses from the Times, Rogers, or El-Sayed. Its claims about the candidates’ records and positions are therefore presented here as Reich’s assertions, not independently established facts.

The institution with power

The decisive power in this story does not belong to anonymous social-media users. It belongs to the Times, whose editors chose the analytical frame, selected the categories, and converted thousands of posts into a polished visual argument.

Calling one set of posts “left-leaning” and another “right-leaning” may describe audience alignment. It does not determine whether their claims are accurate, relevant, or equally abusive. A graph can measure volume and timing while laundering away those distinctions.

That is the central editorial failure Reich identifies: the Times did not merely observe polarization. It organized the evidence so polarization became the story.

Symmetry without equivalence

The reporting summarized by AlterNet undercuts the equivalence it constructs. One group discussed policy matters such as living costs, healthcare, and war. The other, according to the Times passages AlterNet cites, often directed personal attacks at El-Sayed, including criticism involving his Muslim beliefs.

Those are not interchangeable forms of partisan enthusiasm. Treating them as matching reactions shifts attention from what people said to which “side” said it. The result is numerical symmetry standing in for editorial judgment.

Even the note that El-Sayed earned a medical degree but never practiced medicine risks assisting that distortion when detached from the question at issue: whether skepticism about his background was factually grounded, politically relevant, or simply another vehicle for disparagement.

What the frame conceals

Reich argues that readers needed the candidates’ records and governing agendas, not a tour through algorithmically filtered reactions. He describes Rogers as aligned with Donald Trump and cites Rogers’s votes for the Patriot Act, the Iraq War, and surveillance legislation. He portrays El-Sayed as supporting single-payer healthcare, taxes on billionaire wealth, restrictions on corporate campaign money, regulation of AI and data centers, changes to the Supreme Court, and an end to US military aid to Israel.

Whether every characterization survives fuller scrutiny cannot be determined from AlterNet’s article alone. But Reich’s underlying standard is sound: political journalism should test records, proposals, and factual claims. It should not replace that work with a taxonomy of audience sentiment.

The Times may have intended to explain how algorithmic feeds produce divergent perceptions. As presented here, however, the analysis appears to reproduce the algorithm’s central trick: rewarding identity, conflict, and reaction while pushing material stakes out of view.

The systemic error

This is horse-race journalism adapted to the platform age. Instead of counting campaign stops or obsessing over tactical momentum, the newsroom counts posts and maps partisan affect. The method looks empirical because it contains thousands of data points. Its political emptiness remains.

The larger pattern is institutional evasion through format. Powerful news organizations can avoid adjudicating evidence by treating every conflict as a contest between rival perceptions. That posture protects the newsroom from accusations of partiality, but it leaves readers with less knowledge about who exercised power, what each candidate would do with it, and whose claims withstand examination.

A democracy does not suffer from disagreement alone. It suffers when institutions capable of clarifying consequential differences choose to aestheticize the disagreement instead.

Thanks to Alter Net

Source: Robert Reich slams the NYT For ‘dangerously fraudulent’ coverage