Review Management Updated: July 13, 2024

The Psychology of Online Reviews: Why People Read and Write Them

Understanding why people read and write reviews—and the psychological biases that shape them—helps you manage your reputation more intelligently.

Sarah
Sarah
Contributing Author
2 min read

Why People Read Reviews

Research in consumer psychology identifies three primary motivations for reading reviews. Risk reduction: reviews reduce the perceived risk of choosing a product or service from an unfamiliar provider. Social validation: reviews provide evidence of what other people like and do, triggering conformity instincts deeply embedded in human psychology. Information gathering: reviews supply practical details that official marketing doesn’t—how the restaurant’s portions actually are, how long delivery actually takes.

Why People Write Reviews

The psychology of review-writing is equally instructive. Research found that extreme experiences—very good and very bad—generate the most reviews. The average satisfied customer doesn’t write a review; the delighted customer and the enraged customer do. This distribution of review motivation explains why businesses with mediocre but not terrible experiences often have lower ratings than they expect—the middle of the experience spectrum is underrepresented.

Other motivators for writing reviews include: altruism (wanting to help others make good decisions), social expression (demonstrating taste or knowledge), and for negative reviews, seeking restitution or expressing outrage. Understanding these motivations helps you craft effective review generation strategies—appeals to altruism are often more effective than transactional requests.

Cognitive Biases Affecting Review Perception

Readers don’t process reviews objectively. Confirmation bias leads readers to pay more attention to reviews that confirm their existing impression. Negativity bias causes people to weight negative reviews more heavily than positive ones. Recency bias means recent reviews carry disproportionate weight regardless of statistical significance. Businesses should use these biases strategically: recent positive reviews matter more than old positive reviews, and a cluster of negative reviews can override a much larger number of positive ones.

The Response Effect

Research by Cornell University found that when hotel managers responded to negative reviews, subsequent reviews became more positive—not because the response changed the reviewer’s mind, but because reading management responses signaled to future guests that the business cared about service quality. The response to a review is itself reputational data, affecting the decisions of thousands of people who read the review and response combination.

Sarah
Written by
Sarah
Contributing Author, ORM Authority

An experienced online reputation management professional with a passion for helping individuals and businesses build and protect their digital presence.

Share Your Experience

Your email will not be published. Please keep comments constructive and on-topic. We review all submissions before publishing.

No Sponsored Content
5 Expert Authors
Regularly Updated
100 Free Resources
Links Only to Trusted Sources