With the assistance of Violation Tracker data, new research shows that anonymous company reviews written by employees could be used to predict corporate misconduct and potentially head it off.
From the Wall Street Journal:
“Using machine-learning techniques, they created a risk measure that can predict future misconduct violations by capturing the extent to which a firm’s reviews included those ‘misconduct words,’ such as bureaucracy, compliance, discouraging, favoritism, harass, hostile, meritocracy and strict, the researchers say.”
Read the full story at Wall Street Journal.
Read the study, “Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews.”