Can You Vote on Yelp Reviews Without Logging in
New Research Explores the Social Signals in Yelp Reviews
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By Saeideh Bakhshi , David A. Shamma , and Partha Kanuparthy , There are 139 million people that employ Yelp every month and, to date, Yelpers have written over 67 million reviews where they phonation their opinions, share their stories, and otherwise rate experiences they had in the concrete world. But there's more to the Yelp story than the reviews and the reviewers. People on Yelp also log in and limited their opinions, not as reviews, but as votes on reviews. In effect, it'south a higher granularity than a Flickr "favorite" or a Facebook "similar," as Yelpers cast their votes with the distinct sentiments of cool, funny, and/or useful. These votes are three kinds of "likes"; they are a minimal social betoken that many online sites use for communication and recommendation. The three options that Yelp offers lets i investigate the implied meanings carried past these sentiments more than accurately than many other social networks. But there'due south something more here. In aggregate, a random person on Yelp might carry a running total of votes they take cast, including 469 useful votes, 192 absurd votes, and 260 funny votes. The same could hold truthful for a venue. Nosotros began to wonder if we could understand something more from these votes; are they indicative of particular emotions? Do the votes correspond some fingerprint of a Yelper or of an establishment? We used over 200,000 Yelp reviews available for research to answer these questions. First, we found the way people vote on reviews, including the sentiment of the text, has a relationship with the tone of the text and the text'south rating, depending on the vote type. The findings of our research, which appear in a paper called "If It Is Funny, It Is Mean: Agreement Social Perceptions of Yelp Online Reviews" and published in this week'south Proceedings of the International ACM Conference on Supporting Groupwork (ACM Grouping 2014), suggest that there is a deeper meaning and engagement associated with the 3 signals cool, useful, and funny than their labels propose. While many would be correct in associating the useful and funny votes as representing reviews with the most corporeality of information or humour they contain, these signals are really a proxy for negativity in reviews. A cool vote is more ambiguous in its significant, but clearly associates with more positive reviews. Understanding these votes, or signals, and how they affect ratings tin meliorate inform customers as they come across reviews and accept them into account for their ain purposes; ultimately, they could alter one'due south perception of a business organisation, for meliorate or worse. 
Two reviews, a 4-star funny review and a 1-star funny review; each carries a negative sentiment despite the rating of the review itself. Reviews marked absurd (not pictured) were often related to a high-scored rating.
Beyond useful , cool , and funny , we wanted to know more about the collections of signals. We began by asking if these votes are really meaningful and representative signals since many factors, like weather, tin can bear on a review. This follow-upwards research, entitled "Understanding Online Reviews: Funny, Cool or Useful?" will announced in the Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Calculating (CSCW 2015) in March 2015. Here, we studied a variety of circumstances from businesses, reviewers, and reviews that might impact votes. In our assay (modeled using a zip-inflated negative binomial regression), we verified these votes are in fact representative and found that reviews written by members who are active for longer periods of fourth dimension tend to receive more votes. We besides found that readers tend to prefer long and objective reviews. This research is just the first footstep toward agreement sentiment and signals in a new manner that starts to uncover the social Deoxyribonucleic acid inherent in online communities.
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Source: https://research.yahoo.com/news/new-research-explores-social-signals-yelp-reviews
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