Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Shaq
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 language to provoke interest.
The title 'Shaq seems to rip TNT for not airing jersey retirement as Charles Barkley riles him up in new clip' uses sensational language to attract readers.
Rephrase the title to be more neutral, such as 'Shaq expresses disappointment over TNT's decision not to air jersey retirement'
Language that is partial or prejudiced towards one side.
The use of phrases like 'Shaq said of Barkley, pointing out his four NBA rings to Barkley's ring-less career' shows a bias towards Shaq's achievements over Barkley's.
Present both individuals' career achievements without implying superiority, such as 'Shaq, a four-time NBA champion, and Barkley, an 11-time All-Star, exchanged banter over career accomplishments'
Attacking an opponent's character rather than their arguments.
Shaq's comment 'A bum can never hurt my feelings,' directed at Barkley, is an ad hominem attack.
Remove personal attacks and focus on the substantive issue of the jersey retirement broadcast
- 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.