Information bias arises when there is systematic error in the collection, recording, or analysis of data. This can occur in various forms such as recall bias, where participants do not accurately remember past events, or interviewer bias, where the interviewer influences the responses. Information bias can lead to incorrect estimates of the association between exposure and outcome. Standardizing data collection procedures and using objective measures can help reduce information bias.