Bias Highlighter-Bias Identification AI

Example

In analyzing a political speech, Bias Highlighter would highlight any use of loaded language intended to sway the listener's opinion subtly, such as describing an economic downturn as 'a slight hiccup' when statistics indicate a significant crisis.

Scenario

When a user inputs an editorial from a news article, Bias Highlighter would dissect the text to pinpoint and explain instances where the writer may exhibit confirmation bias—preferring information that conforms to their pre-existing beliefs, thus ignoring contradictory evidence.

Example

In reviewing a debate on climate change, Bias Highlighter would detect fallacies such as 'appeal to authority,' where a non-expert's opinion is given undue weight.

Scenario

When evaluating arguments in a blog post regarding vaccine safety, Bias Highlighter would identify any 'straw man' fallacies, where the author misrepresents an opposing stance to make it easier to attack.

Example

During the analysis of a historical article, Bias Highlighter would verify factual claims, such as dates or event descriptions, against credible sources to correct any inaccuracies found in the text.

Scenario

In a user-submitted essay claiming economic theories from a particular scholar, Bias Highlighter would cross-reference these theories with academic publications to ensure their accurate representation and context.