Decoding Yelp: Can Reviews Predict a Reviewer's Popularity?
"Unveiling the Secrets to Influence in the World of Online Recommendations"
In the vast landscape of online recommendations, choosing the right voices to trust can feel overwhelming. Sites like Booking, TripAdvisor, and Yelp offer a plethora of reviews, but consumers often rely on specific reviewers to guide their purchasing decisions. These reviewers become influential figures within their communities, co-creating value and shaping opinions.
A recent study highlights the key factors consumers consider when reading online reviews: overall rating (66%), the ratio of positive to negative reviews (63%), and the level of detail (62%). Reviewer status (40%) also plays a significant role, indicating that credibility and trust are crucial for effective recommendations.
This article delves into a research note exploring the antecedents of fandom on Yelp, specifically investigating whether the content of a reviewer's messages can predict their future popularity. By analyzing 27,097 tips written by 16,334 Yelp users, the study uncovers valuable insights into what makes a reviewer influential.
The Recipe for Yelp Fame: What Kind of Tips Attract Followers?

The study employs text mining and a support vector machine (SVM) algorithm to analyze the relationship between the content of Yelp tips and the number of fans a reviewer accumulates. Unlike regular reviews, Yelp tips are short, real-time opinions often written using the platform's smartphone application.
- Avoidance Advice: Tips that warn users about potential pitfalls or negative aspects of a service.
- Positive Highlights: Tips that emphasize the positive qualities and enjoyable elements of a service.
- Customer Service Mentions: Tips mentioning staff, service quality, and wait times.
Turning Insights into Action: How Businesses Can Benefit
These findings offer valuable insights for businesses looking to enhance their online presence and reputation. By understanding which types of messages resonate with consumers, managers can develop strategies to engage with reviewers, address concerns, and highlight positive aspects of their services. Actively monitoring and responding to tips, especially those offering negative feedback, can demonstrate a commitment to customer satisfaction and improve overall brand perception. In addition the algorithm can be used to determine which reviewers could benefit from collaborations and or offers.