If the mainstream media is not left biased, why is 90% of Trump reports negative

Checked on January 31, 2026
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Executive summary

Mainstream outlets register heavy negative coverage of Donald Trump in recent years, a pattern documented by multiple trackers and polls showing sustained public disapproval and intensive news attention [1] [2] [3]. Explaining why coverage skews negative requires separating measurable phenomena—newsworthiness, independent data on approval and policy outcomes, and the limitations of sentiment-analysis tools—from partisan critiques that allege systemic left‑wing bias [4] [5].

1. Negative coverage tracks measurable problems and controversies, not just opinion

Many major stories about President Trump in his second term have produced concrete metrics and contested policy shifts that outlets report as negative items—declining approval ratings and polls, fiscal and policy outcomes, and contested executive actions have been widely documented, and these facts drive critical coverage [6] [7] [8].

2. Polls and public sentiment provide an independent signal that often matches media tone

Independent polls and trackers show weak approval for Trump in early 2026—multiple polls and interactive trackers recorded disapproval and falling approval numbers, which independent newsrooms and analysts use as factual context for coverage [3] [2] [8].

3. Policy rollouts and outcomes generate substantive critique that looks negative

Reporting on concrete policy programs and outcomes—budget deficits, refugee caps, healthcare changes, and consumer-sentiment drops—produces negative narratives because the underlying data and nonpartisan analyses often signal adverse impacts; fact‑checking and “numbers” series have catalogued such effects [7] [9] [10].

4. Sentiment analysis shows more negative mentions for Trump, but methods matter

Academic and independent sentiment projects have found a higher share of negative mentions for high‑profile figures like Trump—one analysis found Trump averaged roughly 35% positive mentions compared with higher averages for other candidates—but such automated measures depend heavily on models, training data and scope, and tools can vary widely in accuracy and cost [1] [4].

5. Media outlets also amplify stories that attract attention, which can create feedback loops

High‑impact episodes—diplomatic rows, vivid social posts and viral images—get more follow-up and framing; Reuters’ coverage of a Greenland episode is an example where attention to a dramatic foreign-policy claim generated sustained critical reporting because of its geopolitical implications [11]. Where stories are consequential, sustained negative framing can reflect legitimate scrutiny rather than uniform editorial partisanship.

6. Critics say bias exists; conservative outlets and commentators document examples

Conservative commentators and some outlets argue mainstream broadcast media demonstrate a persistent leftward tilt and list examples they call malpractice, arguing this tilt explains the negative tone toward Trump; that critique is part of the media ecosystem and is documented in opinion pieces cataloguing perceived bias [5].

7. Two separate realities must be kept distinct: editorial tone vs. accuracy and data

The factual record compiled by trackers, polling and fact‑checking—showing approval rates, policy effects and fiscal outcomes—provides objective anchors for reporting even when tone is critical [6] [7] [3]. When sentiment tools or critics claim “90% negative,” it is important to interrogate the metric, the sample of outlets analyzed and the algorithm used because different methods yield different proportions [4] [1].

8. What reporting cannot settle from these sources

Available sources document that coverage has been more negative for Trump and explain many drivers—polling, policy outcomes, newsworthiness and analytical methods—but they do not allow a definitive verdict about how much of the negativity is editorial bias versus legitimate scrutiny, nor do they fully quantify the precise “90%” figure across all mainstream media without additional, transparent methodology [4] [1] [5].

Want to dive deeper?
How do sentiment-analysis tools differ and how might their methodologies skew coverage estimates?
Which major news stories about Trump in 2025–2026 produced the largest shifts in media tone and public approval?
What empirical studies compare editorial decisions across left-leaning, right-leaning, and centrist newsrooms on coverage of presidents?