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
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
EU
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.
The article uses sensational language to grab attention and create a sense of urgency.
"We will be watching what you do," Elon Musk has been warned by the European Commissioner after X (formerly Twitter) was found to have the highest ratio of disinformation posts of all large social media platforms.
Use neutral language to present the information without exaggeration.
Provide specific data or evidence to support the claim of X having the highest ratio of disinformation posts.
The article's headline is misleading and does not accurately reflect the content of the article.
“We Will Be Watching What You Do”: Elon Musk Warned By EU After Disinformation Report
Use a more accurate and descriptive headline that summarizes the main point of the article.
Avoid using sensational language in the headline.
The article fails to provide important context and details that would give a more complete picture of the situation.
X has left the EU’s code of practice which ensured social media platforms got ready in time to operate within the confines of the new laws, but the EU has been clear that the new laws will still apply to X and it could face a ban.
Include information about why X left the EU's code of practice.
Provide more details about the new laws and their implications for social media platforms.
The article uses biased language that favors one side over the other.
Mr. Musk knows he is not off the hook by leaving the code of practice," European commissioner Věra Jourová, who is responsible for the implementation of the new anti-disinformation code, told press.
Use neutral language to present statements from both sides.
Avoid using language that implies guilt or wrongdoing.
The article provides more coverage and emphasis on one side of the story, leading to an unbalanced representation.
The EU’s report was the first to analyze posts that will be deemed illegal across the EU under the Digital Services Act (DSA), which came into force in August. Facebook, Google, TikTok, and Microsoft were all analyzed and have all signed up to the EU’s code of practice. X was analyzed but refused to participate and therefore didn’t submit information on areas such as fact-checking.
Provide equal coverage and emphasis on both sides of the story.
Include information about why X refused to participate in the analysis.
- 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.