HonestyMeter - AI powered bias detection
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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 interest, excitement, or shock.
The article uses sensationalism by stating that Selena Gomez's return to Instagram was 'surprising' and that her comeback was not appreciated by some on social media.
Suggested Changes
Present the information in a neutral tone without using sensational language.
Misleading headlines
Using headlines that are intentionally vague or misleading to attract attention.
The headline 'Selena Gomez returns to Instagram days after announcing social media break, internet reacts: 'Damage control'' is misleading as it implies that Selena Gomez's return is solely for 'damage control' without providing evidence to support this claim.
Use a more accurate and informative headline that reflects the content of the article.
Cherry-picking data
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory evidence.
The article cherry-picks negative reactions from social media users to portray a negative perception of Selena Gomez's return to Instagram.
Include a balanced representation of reactions from social media users, including both positive and negative responses.
Biased language
Using language that favors one side or viewpoint over another.
The article uses biased language by stating that Selena Gomez's decision to post 'happy promotional photos' contradicted her previous statements about the Palestine-Israel conflict.
Use neutral language that presents the information without favoring one side or viewpoint.
Unbalanced reporting
Presenting information in a way that favors one side or viewpoint over another.
The article focuses primarily on negative reactions from social media users and does not provide a balanced representation of different perspectives on Selena Gomez's return to Instagram.
Include a more balanced representation of different perspectives on Selena Gomez's return to Instagram.
Appeal to emotion
Using emotional language or imagery to manipulate the reader's feelings.
The article includes emotional quotes from social media users expressing disappointment and urging Selena Gomez to post about Palestine.
Present the information without relying on emotional language or quotes.
- 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.