Around 20% of online hotel customer reviews may
be unreliable or fake, according to Dr Markus Schuckert and
Professor Rob Law of the School of Hotel and Tourism Management
(SHTM) at The Hong Kong Polytechnic University and a
co-researcher.
After examining more than forty thousand
TripAdvisor reviews of all star-rated hotels in Hong Kong in a
recently published study, they warn that the high proportion of
suspicious reviews should ring an “alarm bell” for customers.
Although these reviews are not necessarily fake, they can be
misleading and waste customers’ decision-making time. Given that
many customers depend on online hotel reviews to make their
purchasing decisions, the problem has serious implications for the
hotel sector.
E-commerce platforms have become so popular that
online sales of travel products, particularly by hotels and
airlines, have become the “biggest part of their business”, write
the researchers.
One reason for this rising popularity is the
availability of online reviews and feedback posted by customers,
which help potential customers to make informed decisions. From
the service provider’s perspective, online reviews provide “fast,
instant and easily accessible customer feedback”, and good reviews
can increase their revenue.
Understandably, customers want to book with the
hotel or restaurant with the highest ratings. The researchers note
that these people are prepared to spend a considerable amount of
time reading online reviews before making decisions because they
“want to find the right place and be sure about it”. Customers
prefer “large feedback platforms and consumer-centric sites”,
which are perceived as offering the most “objective, true or
authentic opinions”.
However, the researchers warn that although
“every e-commerce platform has a system and procedure to ensure
the authenticity” of reviews, there is growing concern that
companies, or customers, manipulate reviews or give false ratings
for various reasons. Owners, for instance, may post positive
reviews themselves, or get friends or others to do so, to attract
customers and boost sales. Conversely, they may post bad reviews
to “defame competitors”.
Although false and misleading reviews can lead
to consumers making the wrong purchasing decisions, there is still
insufficient evidence on the extent of such practices. One reason,
the researchers note, is the lack of a reliable method for
detecting fake reviews. Detecting them by differences in writing
style, for instance, “assumes that the writing styles of
manipulators will be different from those of genuine customers”.
The researchers thus designed a method of identifying suspicious
reviews and conducted a study to determine the presence and
proportion of suspicious reviews and to “explore who tends to
post” them.
The focus of that study was TripAdvisor, which
allows reviewers to leave two types of numerical ratings for
hotels – one overall rating, and six specific ratings for service,
value, sleep quality, cleanliness, location and rooms. The ratings
can range from 1 for the worst quality to 5 for the best.
The
anomaly that some reviews show a considerable discrepancy between
the overall rating and the specific ratings prompted the
researchers to consider whether this might be an indicator of a
suspicious or unreliable review.
The researchers provide two examples in which
the overall hotel rating is 5 but the six specific qualities are
only rated as 1 or 2. Comparing the ratings with the written
comments, one of the reviews seems to fit the overall rating of 5,
suggesting that the specific ratings are misleading, whereas the
other review seems more consistent with an overall rating of only
1 or 2, suggesting that the high overall rating is misleading.
That self-contradiction prompted the researchers to explore
whether this is a widespread phenomenon and, if so, what causes
it.
Using specially developed software, the
researchers retrieved both types of ratings for all Hong Kong
star-rated hotels listed on TripAdvisor. There were 185 hotels –
18 five-star, 80 four-star, 75 three-star, 11 two-star and 1
one-star – with a total of 41,572 ratings. Next, they measured the
“gap” between the overall rating and the average of the six
specific ratings as the “index to measure whether a review or a
rating is suspicious”.
The average overall rating of the reviews was
around 4.2, which the researchers note indicates that “travellers
are very satisfied with their experience in Hong Kong hotels in
general”. More than three quarters of reviewers gave ratings of 4
or 5, whereas only 8% gave ratings of 1 or 2.
Comparing the overall ratings with the average
for the six specific ratings, the researchers found that almost
20% of reviews had a discrepancy, or “gap”, of more than 0.5. This
gap, they write, is an indication of a “suspicious” or at least
“low-quality” online review, describing the number of reviews with
this gap as a “large and considerable proportion”.
Turning to “who tends to post suspicious
ratings”, the researchers examined the relationship between the
size of the gap and the overall rating. They found that reviewers
who gave excellent ratings were less likely to have a gap between
their overall and specific ratings, whereas those who “dislike
giving excellent ratings” tended to create big gaps. They offer
two possible explanations for this finding.
First, it is possible that reviewers who tend
not to give excellent ratings are less careful about the scores
they give and merely “post them randomly”. Alternatively, those
who tend to give excellent ratings might “include more
manipulators whose job is to constantly post positive reviews” for
hotels. In other words, they could be professional reviewers paid
by hotels to generate positive reviews who are required to give
both overall and specific ratings of 5.
Finally, the researchers examined whether
different types of hotels are more likely to be associated with
suspicious reviews. In general, higher class hotels not only
received better reviews, but also had less of a gap in their
ratings than lower class hotels. Hence, “the problem of suspicious
online ratings” may be more serious among the lower class hotels.
The researchers conclude that suspicious
reviews can be generated in two ways – through either deliberate
manipulation or “perfunctory rating behaviour”, with the two being
indistinguishable. Consequently, online customers should “pay more
attention to the rating gap” on TripAdvisor.
They also suggest that TripAdvisor provide a
warning to reviewers who “may have made a mistake or may not be
taking the rating seriously” if they try to post a review with
ratings that differ by more than 0.5. Although other sites
aggregate category scores to produce a final score, circumventing
this problem, the researchers suggest that their findings should
ultimately remind all “e- commerce platforms about the problem of
fake or low-quality reviews”.
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