Political Bias Reports

The article shows moderate left-leaning bias through narrative framing that ties Trump-Netanyahu talks to the Epstein 'uproar' and accuses the administration of a 'political retribution campaign,' though factual reliability remains uncertain due to absent verification.

The article shows significant left-leaning bias through narrative framing and loaded terms like 'complicity' and 'genocide' that portray Israel and the WMA as morally culpable in Gaza's health crisis, supported by 4 corroborated facts but tempered by selective emphasis on inconsistencies.

The article exhibits moderate left-leaning bias through insinuations of U.S. resource exploitation in phrases like 'take control of the South American country’s oil' and skeptical attribution to the Trump administration, though factual elements are largely corroborated.

The article exhibits moderate left-leaning bias through narrative framing that uses loaded terms like 'not ready' and insinuations of Trump's unfulfilled promises to portray US military vulnerability and retreat, supported by mostly corroborated facts but with subjective emotional appeals.

The ABC News post exhibits moderate left-leaning bias through loaded terms like 'threatens to “annex”' and framing that portrays Trump's actions as aggressive, necessitating European military support, though factual elements appear corroborated.

The Reuters article exhibits moderate left-leaning bias through framing that portrays the Trump administration's probe into Fed Chair Powell as overreach via loaded terms like 'threatened retaliation' and insinuations of questionable allegations, with factual elements corroborated but interpretive neutrality compromised by emphasis on Republican opposition.

The tweet exhibits moderate left-leaning bias through narrative framing and loaded terms like 'blocks effort to rein in Trump's Venezuela war powers,' which imply moral concerns over unchecked executive authority, though factual reliability is low due to unverifiable elements.

The article exhibits moderate left-leaning bias through doubt-inducing word choices like 'claim' and framing that portrays U.S. actions under Trump as aggressive amid corroborated claims of imminent tensions, with solid factual support but interpretive slant.

This tweet exhibits moderate left-leaning bias through emotionally charged terms like 'GROSS' and insinuations of self-serving motives in senators Hawley and Young, with mixed factual reliability due to contested verification results.

The article exhibits moderate left-leaning bias through loaded terms like 'pushed' and 'warned' and framing that emphasizes Trump's forceful approach against CEO resistance, supported by 4 corroborated facts but with implicit assumptions about investment risks potentially limiting balanced context.

The article exhibits moderate left-leaning bias through loaded terms like 'fatal shooting by an ICE agent' and framing that emphasizes community fear and trauma from the ICE raid, with partial factual corroboration supporting reliability for basic events but caution needed for interpretive slant.

This tweet exhibits moderate left-leaning bias through loaded terms like 'Trumper playbook' and moral framing of Noem's unapologetic stance as sad and flawed, with mostly corroborated facts but implicit assumptions that reduce interpretive neutrality.

While factually corroborated in 4 instances, the article exhibits significant left-leaning bias through loaded terms like 'roil the country' and framing insinuations undermining Trump's competence, such as 'He can't find Iran on a map,' potentially heightening perceptions of instability and aggression.

This Reuters X post exhibits significant left-leaning bias through narrative framing that depicts US actions as aggressive piracy via loaded terms like 'seized' and 'pursuit,' and moral judgments such as 'Piracy US style,' though factual elements are highly corroborated.

The article shows significant left-leaning bias through loaded terms like 'purchase a government official' and framing moves insinuating conflicts for justices Thomas and Alito, though it maintains high factual reliability with 5 corroborated elements.

This tweet exhibits moderate left-leaning bias through loaded terms like 'EXECUTION' and framing of 'total indifference' to criticize ICE, but low factual trust due to mostly unverifiable claims and implicit assumptions about the incident's justification.

The article shows moderate left-leaning bias through narrative framing that humanizes the victim with terms like 'made of sunshine' and discredits the Trump administration's narrative on the ICE shooting, while maintaining high factual reliability with 5 corroborated elements.

The article shows moderate left-leaning bias through loaded terms like 'inflated' and 'lied', framing Trump's financial loss claims as hypocritical against Attorney General allegations, though factual understanding is limited by mostly unverifiable elements.