Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Joe Biden
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
The article uses biased language to describe Donald Trump's presidency.
Trump was the first president to be impeached twice – once for alleged abuse of power and once for inciting insurrection – and acquitted.
Use neutral language to describe the impeachment proceedings.
The article fails to mention some important details about Donald Trump's presidency.
He refused to concede, spreading claims of electoral fraud and initiating a campaign to overturn the result.
Include information about the lack of evidence supporting Trump's claims of electoral fraud.
The article provides more information about Joe Biden's chances of a second term compared to Donald Trump's.
While sitting president Joe Biden is the Democratic Party's presumptive nominee, he may not be the only person to have served in the role to be in the running for it again.
Provide equal coverage of both Joe Biden and Donald Trump's chances of a second term.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.