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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Donald Trump
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.
Exaggerating or sensationalizing events to attract attention.
The headline 'Donald Trump’s social media following surges by millions in week after assassination attempt' is sensational and designed to attract attention.
Use a more neutral headline such as 'Donald Trump’s social media following increases after rally incident'.
Headlines that do not accurately reflect the content of the article.
The headline implies a direct causation between the assassination attempt and the surge in social media following without providing substantial evidence.
Ensure the headline accurately reflects the content and evidence provided in the article.
Using emotional language to elicit an emotional response from the audience.
Phrases like 'terrifying attack', 'felt the bullet ripping through [his] skin', and 'surviving an assassin’s bullet' are designed to evoke strong emotional reactions.
Use more neutral language to describe the events, such as 'incident at rally' or 'injury sustained at rally'.
Favoring one side over another in the presentation of information.
The article focuses heavily on the impact of the event on Trump's social media following and includes multiple exclusive details about Trump, while providing limited information about Thomas Matthew Crooks.
Provide more balanced coverage by including more information about Thomas Matthew Crooks and the investigation into his motives.
Selecting data that supports a particular viewpoint while ignoring data that contradicts it.
The article highlights the increase in Trump's social media following and Google searches for 'How to register to vote' without providing context or data on other potential factors influencing these trends.
Include data and context on other factors that may have influenced the increase in social media following and Google searches.
- 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.