The article criticizes The New York Times for presenting the Michigan Senate debate between Republican Mike Rogers and Democrat Abdul El-Sayed as a contest between two roughly equivalent sides, based on an analysis of more than 13,000 X posts that showed “dueling narratives.”

It argues that the Times’ categorization of left- and right-leaning users was circular and that equal visual weight was given to both sides despite what the author views as substantial differences in their records and platforms.

The piece contends that the Times has a responsibility to inform readers of Rogers’s support for Trump policies and past votes versus El-Sayed’s positions on healthcare, taxation, AI regulation, and other issues, rather than treating the race as a standard two-party contest.

The venerable New York Times — the “gray lady” of American journalism that not only determines what’s news but sets the standard for how it should be reported — has been describing the upcoming midterms as if it were a competition between two equally passionate and roughly equivalent sides.

For example, in describing the recent debate between the two candidates vying to represent Michigan in the Senate, Republican Mike Rogers and Democrat Abdul El-Sayed, the Times offered its readers an analysis of social media feeds —“one curated for a left-wing audience and one for a right-wing audience.”

The Times did this by collecting more than 13,000 posts from X, and then — using a social media analytics company — categorizing the posts according to their apparent political leanings and whether they were “personal attacks and criticism” or concerned a particular issue area.

Then the Times presented it all in a vertical graph, starting with the beginning of the debate at the........

© Eurasia Review