A conservative media watchdog dropped a study on Friday alleging that Apple News and Google News failed to show any negatively framed headlines about progressive Michigan Senate candidate Abdul El-Sayed in their top 20 morning stories after February 10, even as early voting got underway. The Media Research Center (MRC) says it tracked the feeds for months and found at least 104 critical articles that never surfaced prominently, raising fresh questions about how much power digital aggregators hold over political visibility.

What the MRC Study Found

The MRC monitored the top 20 stories on Google News each morning from November 1, 2025, through July 21, 2026, and on Apple News from November 3, 2025, through July 21, 2026. Researchers searched for “Michigan,” “Abdul,” and “El-Sayed,” then classified relevant headlines as negative, neutral, or positive. To reduce personalization, they used a “clean” computer, clearing cookies and search history before every check, and recorded results at 8:30 a.m. Eastern time. The group says it tested for daypart differences beforehand and found none statistically significant.

The key claim: after February 10, no negatively framed El-Sayed headline appeared in the top 20 morning slots observed. MRC identified at least 104 right-leaning articles about the candidate’s record, statements, and policies that never made it into those feeds, along with additional stories from other outlets. Topics ranged from his use of the physician title to his campaigning with streamer Hasan Piker, acceptance of an Arab American PAC endorsement, and his remarks equating the Israeli government with Hamas. Apple News and Google News each showed only one Michigan Senate-race headline in the study’s entire monitoring period, and neither focused on controversies surrounding El-Sayed.

MRC president David Bozell called the pattern a “blackout” and argued that most Americans don’t surf dozens of news sites daily—they open an aggregator and read what’s presented. That framing is central to the study’s significance: it’s not about whether critical articles existed somewhere online, but whether they got the kind of prominent placement that shapes voter perception.

Why Feed Placement Matters to Voters

A top-20 slot in Apple News or Google News isn’t just a convenience—it’s an agenda-setting tool. These services reduce an overwhelming flood of information to a manageable shortlist, and what they omit can be as influential as what they include. For Michigan voters, the timing is critical. The state’s Democratic Senate primary narrowed to El-Sayed and Rep. Haley Stevens after state Sen. Mallory McMorrow suspended her campaign in early July. Gov. Gretchen Whitmer endorsed Stevens on July 24. Early in-person voting started July 25, and Election Day is August 4.

The MRC’s data, if accurate, suggests that a casual news consumer relying on default aggregator feeds during this period would have seen little to no negative coverage of El-Sayed—even as dozens of critical articles were being published. That doesn’t prove intentional suppression, but it does show a visibility gap with potential electoral consequences.

Google’s public documentation explains that its News service uses computer algorithms that mix shared regional selections with personalized modules. Some sections—like desktop “Top Stories”—are based on language and region, while “For you” and local news are tailored to individual users. This means a single daily snapshot can’t capture every user’s experience, but it can reflect a common baseline for a typical, logged-out, location-based view.

Apple’s model blends human editorial curation with personalization. The company says its Top Stories are chosen by editors and appear the same for all users, while the rest of the Today feed may vary. That makes Apple’s feed both algorithm-driven and editorially curated. If MRC’s observations are correct, they would challenge the editorial judgment behind Top Stories—not just an algorithm’s blind spots.

How We Got Here: The Michigan Primary and Past Audits

The El-Sayed study isn’t the MRC’s first foray into digital-news accountability. Earlier this year, the group published a similar report on Google News coverage of former Maine Senate candidate Graham Platner, alleging that 112 critical stories were never promoted. Google dismissed that study as “totally false,” citing a flawed methodology that relied on a single daily snapshot from one account without accounting for updates, interests, and location. Fox News reported that Google repeated that critique when asked about the El-Sayed findings.

Apple, via Fox News, stated that its Top Stories are editor-curated and uniform, while other sections are personalized. Neither company elaborated further on the specific El-Sayed numbers, and the candidate’s campaign did not immediately respond to requests for comment.

The Michigan primary has drawn national attention as a proxy battle between the Democratic establishment and its progressive wing. El-Sayed, a former state health official, narrowly lost the 2018 gubernatorial primary to Whitmer. With Whitmer now endorsing Stevens, the race is a direct ideological test. The MRC’s intervention injects a media-bias debate into an already polarized context, but the underlying data offer a window into how easily subtle feed gaps can take root.

What You Can Do to Get a Fuller Picture

No single news feed is complete. Whether you’re a Michigan voter making up your mind or just someone who cares about balanced information, a few deliberate habits can help:

  • Cross-check aggregators with direct searches. If a candidate or issue matters, type their name into a search engine or a specific news app, rather than relying solely on the default home screen.
  • Read multiple outlets—and different kinds of outlets. Local newspapers, state-based political blogs, and national publications often cover the same race from different angles.
  • Visit official election sources. The Michigan Secretary of State’s election portal (michigan.gov/sos/elections) lists candidates, voting information, and campaign-finance data. It’s a neutral starting point free of algorithmic curation.
  • Treat headlines as prompts, not facts. A neutral headline might lead to a tough story; a sensational one might lead to speculation. Click through and read the full article when stakes are high.
  • Use platform customization tools deliberately. Both Apple News and Google News let you follow specific topics and sources. Adding a few trusted local or regional outlets can diversify your feed.
  • Consider RSS or email newsletters. These old-school tools can reclaim some editorial control from algorithms.

Power users, including IT professionals who set up devices for others, can preconfigure news widgets or default homepages to include balanced sources. On Windows, the built-in news feed can be tailored by topic and outlet, offering a similar degree of control.

What’s Next for News Aggregator Accountability

The MRC study is unlikely to settle the bias debate, but it does sharpen demands for transparency. Neither Apple nor Google can realistically publish every ranking signal, yet both could do more: public, time-stamped archives of major Top Stories for election periods; clearer labeling of algorithmic vs. curated sections; and independent researcher access to study outputs at scale. Google’s dynamic, personalized architecture makes snapshot audits inherently limited; Apple’s editorial overlay should, in theory, make its decisions more explainable—if the company chooses to explain them.

For now, the burden falls on news readers to verify what they see—and what they don’t see. The Michigan primary will close on August 4. After that, the audit’s conclusions will be tested against the habits of thousands of voters who may never have known what was missing.