Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Kamala Harris
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.
Selecting specific data points that support a particular narrative while ignoring others that may contradict it.
The article highlights certain polls where Harris is leading or competitive, while downplaying or not mentioning others where Trump might be leading.
Include a more comprehensive range of polls, including those where Trump is leading, to provide a balanced view.
Discuss the methodology and potential biases of the polls mentioned to give readers a clearer understanding of their reliability.
Leaving out important details that could provide a fuller understanding of the situation.
The article does not delve into the reasons behind the polling trends or the potential impact of external factors such as campaign strategies or recent events.
Include analysis of factors influencing the polling trends, such as recent campaign events or changes in voter sentiment.
Provide context on how historical polling inaccuracies might affect current interpretations.
- 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.