The Blaze Media Bias



Observable framing and worldview. The supplied sample shows a strongly right-conservative, law-and-order, socially traditional perspective, frequently favorable to Trump-aligned officials and hostile toward Democratic, socialist, progressive, LGBTQ, and “woke” positions.

This is visible in both selection and wording: immigration stories foreground alleged criminality and endorse aggressive enforcement

, while Democratic candidates are described with labels such as “far-left,” “extremist,” or “protect pedophiles” .

A counterexample is the more measured election report on Byron Donalds, which cites CBS and provides vote percentages .

Coverage patterns. Recurring subjects include:

U.S. elections and partisan conflict ; immigration, deportation, border security, and migrant crime ; gender identity and transgender participation in women’s sports ; Christian theology, religious liberty, family, and sexual morality ; criticism of progressive entertainment, corporations, universities, and DEI ; skepticism toward mainstream media, public-health institutions, and COVID-vaccine authorities ; and celebrity, sports, and viral social-media controversies .

The keyword-frequency information independently identifies grocery stores, assassination, Sophie Cunningham, and conservatives as especially recurrent [124].

Selection is therefore not politically neutral, although the sample cannot reveal what stories were omitted.

Main biases and techniques. The dominant biases are ideological, partisan, anti-progressive, pro-enforcement, and culturally Christian-conservative.

Observable persuasion techniques include loaded labeling (“illegal alien,” “communist fringe,” “activist judge”)

; fear appeals involving migrants, China, AI, and gender policy ; scapegoating and guilt by association, such as using one alleged crime to characterize migrants broadly ; ad hominem and ridicule against opponents ; selective quotation or response-centered coverage ; and appeals to aligned authority or celebrity .

Promotional calls to subscribe to BlazeTV also blur journalism, commentary, and advertising .

These are evidence of propagandistic techniques in the limited sense of emotionally directive persuasion, not proof of a centrally coordinated propaganda operation.

Values inferred from editorial treatment. The three most positively reinforced values appear to be public order and punitive enforcement

, traditional Christian morality and family/religious authority , and parental or individual autonomy against progressive institutions .

The three least positively treated values are progressive pluralism and DEI , transgender inclusion and LGBTQ-affirming policy , and institutional/media authority when it conflicts with the outlet’s preferred narrative .

These are inferred from repeated negative framing, not evidence that the source literally rejects every associated value.

Reliability and AI authorship. The corpus contains some attributable, fact-oriented reporting

, but also frequent unsupported assertions, speculation, and opinion presented in news-like form .

The source may use AI-assisted production because some supplied summaries are repetitive, formulaic, or malformed—especially —but the records are metadata-like assessments rather than authenticated article manuscripts.

There is insufficient evidence to conclude that the source itself was written by AI.



Helium Bias: This assessment assumes the supplied records accurately represent published wording and are not themselves heavily transformed summaries.

It cannot measure the full archive, omitted stories, editorial decision-making, correction history, audience effects, or whether allegations were later substantiated.

The sample is unusually concentrated in recent, controversial, high-bias items, so frequency and value rankings may overstate the source’s overall tone.

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

The Blaze 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 🔴14

🧢 Populist <—> Elitist 🎩-10

🗞️ Objective <—> Subjective 👁️ 12

🚨 Sensational85

😩 Pessimistic <—> Optimistic 🌞-16

💡 Boring <—> Interesting19

📝 Prescriptive20

😨 Fearful26

📞 Begging the Question8

🗣️ Gossip8

💭 Opinion100

🗳 Political40

Oversimplification28

🏛️ Appeal to Authority24

🍼 Immature15

👀 Covering Responses22

😢 Victimization16

😤 Overconfidence30

🔒 Ideological64

📏📏 Double Standard20

❌ Low Credibility <—> High Credibility ✅11

🤑 Advertising12

💔 Low Integrity <—> High Integrity ❤️8

🪨 Low Intelligence <—> High Intelligence 🦉28

🚫🏳️‍🌈 Anti-LGBT8

⚠️🌍 Racism18

✊ Woke20

🔪 Cruel12

🎭 Virtue Signaling48

🔺 Conspiracy20

🐐 Scapegoating14

🤡 Hypocrisy8

🎲 Speculation26

🐍 Manipulative67

Subtle dimensions

🗽 Libertarian <—> Authoritarian 🚔3

📉 Bearish <—> Bullish 📈0

🕊️ Dovish <—> Hawkish 🦁5

🔄 Circular Reasoning4

🗑️ Spam2

🏴 Anti-establishment <—> Pro-establishment 📺4

🧠 Rational <—> Irrational 🤪4

💣 Terrorism0

🔍 Truth-seeking <—> Delusion 🌀4

⛓️ Anti-enlightenment4

🦊 Anti-Corporate <—> Pro-Corporate 👔0

🔬 Scientific <—> Superstitious 🔮1

👤 Individualist <—> Collectivist 👥2

How to interpret source scores →

Average social shares per article 0



The Blaze Political Bias (?)





The Blaze Subjective Bias (?)





The Blaze Opinion Bias (?)





The Blaze Oversimplification Bias (?)








Click points to explore news by date. News sentiment ranges from -10 (very negative) to +10 (very positive) where 0 is neutral.





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