HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
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.
Sensationalism
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensational language to describe the strike and the agreement reached, such as 'historic strike that threatened to throw studios into chaos' and 'quite historic in terms of the size of the contract in this industry.'
Suggested Changes
Use neutral language to describe the strike and the agreement reached.
Avoid using exaggerated terms that may create a biased perception.
Cherry-picking data
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory data or information.
The article selectively mentions the support Fran Drescher received from celebrities like George Clooney, Tyler Perry, Ben Affleck, Jennifer Lopez, Ryan Reynolds, Laura Dern, Kerry Washington, and Bradley Cooper. It does not provide a balanced representation of the opinions or reactions of other individuals or groups involved in the strike.
Include a broader range of perspectives and reactions from different individuals or groups involved in the strike.
Provide a more balanced representation of the support received by both sides.
Omission of key information
Leaving out important details or information that may provide a more complete understanding of the topic.
The article does not provide information about the specific issues raised by the actors during the strike, such as pay and the use of artificial intelligence. It also does not mention any potential criticisms or concerns regarding the tentative agreement reached.
Include information about the specific issues raised by the actors during the strike.
Provide a more comprehensive overview of the concerns and criticisms related to the tentative agreement.
Biased language
Using language that favors one side or viewpoint over others.
The article uses language that portrays Fran Drescher in a positive light, such as 'She means business!' and 'Showing their support!' This biased language may create a perception of favoritism towards Fran Drescher.
Use neutral language to describe the actions and statements of individuals involved in the strike.
Avoid using language that may create a perception of favoritism towards a particular side.
- 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.