Automatically Neutralizing Subjective Bias in Text

Understand

Texts like news, encyclopedias, and some social media strive for objectivity.

• Yet bias in the form of inappropriate subjectivity - introducing attitudes via framing, presupposing truth, and casting doubt - remains ubiquitous.
• This kind of bias erodes our collective trust and fuels social conflict.
• To address this issue, we introduce a novel testbed for natural language generation: automatically bringing inappropriately subjective text into a neutral point of view ("neutralizing" biased text).