Common Dreams Media Bias



Observable orientation. The sample shows a strongly progressive/left, anti-Trump, anti-corporate, civil-libertarian and anti-war perspective.

This is explicit in the recurring self-description “Daily news & progressive opinion—funded by the people, not the corporations”

and is reinforced by repeated criticism of Trump, Republicans, ICE, Wall Street, fossil-fuel firms, Big Tech, Israel, and military intervention .

No clear counterexample appears in which a conservative administration or corporation receives comparably favorable, fully developed treatment; however, the source does sometimes criticize government regulation itself when it threatens privacy or speech, as in its coverage of online-safety bills .

Coverage patterns and topics. Selection is heavily concentrated on U.S. partisan politics, Trump-administration policy, congressional conflict, elections and progressive candidates

, immigration and detention , Gaza/Israel and U.S. foreign policy , climate and environmental regulation , corporate concentration and labor/healthcare policy , and AI safety, surveillance and data centers .

Topic selection therefore appears advocacy-relevant rather than representative of general news.

The sample cannot establish what the source omits from its overall output.

Framing and sourcing. Reporting frequently foregrounds critics, advocacy groups, Democratic lawmakers, humanitarian bodies, or progressive experts while omitting or minimizing official defenses.

This is explicit in the records on ICE procurement

, the White House ballroom litigation , the Teen Pregnancy Prevention Program , and Argentine surveillance .

Legal, moral, and causal judgments are often stated as settled facts rather than attributed claims—for example “illegal war,” “genocide,” “corrupt,” “torture,” or “corporate giveaway” .

Some pieces use more restrained explanatory framing, notably the leaked NRSC/data-center report , so the pattern is strong but not absolute.

Likely values. The three most evident values are

human rights and protection of vulnerable people , accountability and opposition to concentrated state, corporate, and elite power , and environmental protection and precautionary regulation .

The three least evident values—not necessarily values the source rejects—are deference to conservative institutional authority or military rationales , corporate autonomy and market concentration , and viewpoint balance or neutrality as an editorial priority techniques. There is observable use of loaded labeling, fear appeals, moral dichotomies, selective omission, authority appeals, victim-centered personalization, and bandwagon/public-opinion framing .

Repeated donation and anti-corporate identity appeals may also encourage loyalty and define opponents as morally illegitimate .

These are recognizable persuasive techniques, but the supplied records do not prove coordinated propaganda, deliberate deception, or foreign influence.

AI authorship. It is possible but unproven. Repeated boilerplate, highly regular framing, and formulaic attribution across records could reflect AI-assisted production

.

Conversely, named sources, dates, votes, legal disputes, and outlet-specific advocacy language are compatible with human editorial work.

The evidence supports, at most, a low-to-moderate hypothesis of automation or templating—not a reliable conclusion.

Reliability limits. The records are evaluative summaries, not complete articles or independently verified fact checks.

Reliance on interested sources and unpresented counterarguments limits confidence in factual completeness

.

The sample is recent, unusually concentrated in high-conflict stories, and selection-biased; it cannot measure the source’s full output, correction practices, or accuracy rate.



Helium Bias: I infer patterns only from the supplied summaries and quoted wording, treating their descriptions as accurate for analysis but not independently verifying the underlying events.

“Highest” and “lowest” values mean most and least visibly expressed in this sample, not the source’s private beliefs.

The corpus is recent, curated toward controversial stories, and cannot reveal omitted coverage, editorial workflows, or whether repeated language was human- or AI-generated.

Automated source summary · Updated August 23, 2026 · Not human reviewed. Check recent article panels for claim-level evidence when available.




Use the Data in AI All Sources

Common Dreams Bias Profile

Weighted source-level patterns from recent analyzed coverage. Open recent articles below to inspect score-specific evidence and limitations when available.

🔵 Liberal <—> Conservative 🔴-33

🧢 Populist <—> Elitist 🎩-27

🗽 Libertarian <—> Authoritarian 🚔-12

🗞️ Objective <—> Subjective 👁️ 16

🚨 Sensational100

📉 Bearish <—> Bullish 📈-11

😩 Pessimistic <—> Optimistic 🌞-25

💡 Boring <—> Interesting24

📝 Prescriptive54

🕊️ Dovish <—> Hawkish 🦁-10

😨 Fearful46

📞 Begging the Question12

💭 Opinion100

🗳 Political68

Oversimplification38

🏛️ Appeal to Authority36

🍼 Immature17

🔄 Circular Reasoning6

👀 Covering Responses32

😢 Victimization40

😤 Overconfidence36

🗑️ Spam6

🔒 Ideological100

🏴 Anti-establishment <—> Pro-establishment 📺-24

📏📏 Double Standard44

❌ Low Credibility <—> High Credibility ✅18

🧠 Rational <—> Irrational 🤪-7

🤑 Advertising19

💔 Low Integrity <—> High Integrity ❤️19

🪨 Low Intelligence <—> High Intelligence 🦉44

✊ Woke100

🔪 Cruel20

🎭 Virtue Signaling100

🔺 Conspiracy20

🐐 Scapegoating22

🤡 Hypocrisy16

🦊 Anti-Corporate <—> Pro-Corporate 👔-26

👤 Individualist <—> Collectivist 👥9

🎲 Speculation34

🐍 Manipulative100

Subtle dimensions

🗣️ Gossip4

💣 Terrorism4

👺 Marxism0

🔍 Truth-seeking <—> Delusion 🌀0

❤️‍🔥 Suicidal Empathy0

🔬 Scientific <—> Superstitious 🔮-4

How to interpret source scores →

Average social shares per article 0



Common Dreams Political Bias (?)





Common Dreams Subjective Bias (?)





Common Dreams Opinion Bias (?)





Common Dreams Oversimplification Bias (?)







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