Is the MSN news site mostly Left wing bias garbage?

Checked on January 22, 2026
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Executive summary

MSN is a news aggregator owned by Microsoft that, according to systematic third‑party analyses, draws a plurality of its links from Left‑Center sources and is therefore rated Left‑Center overall rather than uniformly neutral or overtly extreme [1]; other evaluators emphasize that aggregator mechanics and source mix—not original reporting—drive that assessment [1] [2]. Widespread user complaints paint a picture of perceived partisan slant and poor site experience, but reputable media‑bias auditors generally treat MSN as a centrist‑to‑left aggregator with reasonably high credibility rather than a “garbage” factory of fabricated news [1] [2] [3].

1. What “MSN” actually is and why that matters for bias claims

MSN functions largely as a portal that curates and republishes headlines and excerpts from other outlets rather than producing a large volume of original investigative journalism, which makes its political tilt a product of source selection and algorithms rather than editorial op‑ed thrust from a single newsroom [1]; Media Bias/Fact Check explicitly notes that judging an aggregator’s bias means analyzing the mix of sources it surfaces, not treating MSN as a single-origin outlet [1].

2. What independent analysts say: left‑center tilt, but credible

Media Bias/Fact Check’s three‑day sampling of top sources found that 51% of MSN’s linked stories came from Left‑Center outlets with 31% from “Least Biased” sources, leading MBFC to rate MSN strongly Left‑Center while also assigning a high credibility score for factual reporting [1]. Ad Fontes Media’s methodology stresses both a bias axis and a reliability axis, and lists MSN on its Media Bias Chart framework—an acknowledgement that nuance matters and that bias ratings can coexist with varying reliability scores [2].

3. Conflicting or limited ratings from other trackers

Not every bias tracker offers a definitive verdict: AllSides reports low or initial confidence for an MSN (UK) rating, signaling limited data or uncertainty in that dataset rather than a conclusive classification [4]. Biasly advertises an AI+analyst system to measure sentiment and framing across thousands of data points, illustrating that different tools use different inputs and can reach differing conclusions about the same outlet [5].

4. The audience and user experience complaints that fuel “garbage” narratives

Public reviews and complaint boards show a strong segment of users who describe MSN as highly biased, overly ad‑heavy, and hostile to conservative viewpoints—reviews on SiteJabber and ConsumerAffairs include repeated accusations that MSN publishes “left‑wing propaganda” or consistently anti‑Trump stories and criticize site design and ad density [3] [6] [7]. These sentiment spikes among users amplify claims that the site is “garbage,” even though they reflect perception and experience rather than systematic content analysis [3] [6].

5. Algorithms, curation and the echo chamber problem

Critical takes argue that MSN’s algorithmic curation and editorial choices can create filter bubbles and reinforce perceived slants; academic and advocacy writeups point out that algorithmic selection and headline framing can materially shape how audiences perceive bias even when underlying reporting is factual [8]. Salem State’s analysis notes broader public concern that portals and platforms amplify bias via source selection and presentation mechanics [8].

6. Bottom line: biased but not uniformly “garbage” — and what that implies for a reader

The evidence supports calling MSN a predominantly Left‑Center aggregator with substantial amounts of content from least‑biased outlets and a reputation for generally credible factual reporting, per MBFC and media‑chart frameworks, while also recognizing legitimate user dissatisfaction about perceived partisan framing and poor UX that feed the “garbage” label [1] [2] [3]. For readers, the pragmatic takeaway is nuance: treat MSN as a curated feed whose ideological tilt reflects its source mix and algorithms, verify important claims at primary outlets, and cross‑check politically charged stories rather than relying on the portal alone [1] [2] [8].

Want to dive deeper?
How do news aggregators' source mixes affect perceived political bias?
What methodology do Media Bias/Fact Check and Ad Fontes use to rate aggregator bias?
How do user experience issues (ads, layout) influence perceptions of news credibility?