Noi Sian Koh

TL;DR: A simple statistical method is proposed to detect online reviews manipulation, and assess how consumers respond to products with manipulated reviews, and the effectiveness of manipulation through ratings, sentiments, and readability is investigated.

TL;DR: The findings indicate that the two most accessible types of reviews - most helpful and most recent - play a significant role in determining sales and suggest that information that is easily accessible and cognitive effort-reducing heuristics play a role in online purchase decisions.

TL;DR: Investigating when the reported average of online ratings matches the perceived average assessment of the population as a whole finds that under-reporting is more prevalent among US online network, thus online reviews are a better movie perceived quality proxy in China and Singapore than in the US.

TL;DR: In mature online markets like the United States, online shopping appears to be treated as just another form of shopping, but in China, if an online vendor can establish a reputation for quality, consumers appear to treat those merchants much as Americans do their own favorite online vendors, despite problems with Chinese shopping more generally.

TL;DR: An experimental study shows that under-reporting is more prevalent among U.S. online social network users than in other countries, and thus that online reviews are more reflective of a movie's true perceived quality in Chinese and Singapore than in the U.s.