Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Police / Authorities
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.
Use of dramatic or emotionally charged wording to make events seem more shocking or extreme than a strictly factual description would require.
The main article text itself is neutral: it states that four men were 'gunned down' and lists locations and times. However, within the page content there is a related link: 'WATCH: Bloodshed as four killed in Manchester overnight'. The word 'Bloodshed' is more dramatic than necessary to convey the facts and can be seen as sensationalist, especially when paired with 'WATCH', which encourages viewing potentially graphic or distressing content as a spectacle.
Change the related link headline from 'WATCH: Bloodshed as four killed in Manchester overnight' to a more neutral formulation such as 'WATCH: Four men killed in separate shootings in Manchester overnight'.
Avoid using abstract, emotionally loaded terms like 'Bloodshed' in headlines when a precise description (e.g., 'shootings', 'fatal shootings') is available.
Ensure that video-related headlines emphasize informational value (who, what, where, when) rather than shock value.
- 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.