HOTFRED: A Flexible Hotel Fake Review Detection System
release_pub4ctd5ivesplvonowe65msbm
by
Michael Möhring, Barbara Keller, Rainer Schmidt, Matthias Gutmann, Scott Dacko
2021 p308-314
Abstract
<jats:title>Abstract</jats:title>The importance to cope with online fake reviews in Tourism becomes more and more evident. In the hotel sector hoteliers as well as guests often struggle with the challenges to separate true and fake reviews from each other. Therefore, our research introduces HOTFRED - a flexible hotel fake review detection system - as part of an on-going research project. By combining different analytical approaches, the HOTFRED system indicates via an aggregated probability whether a review is true or fake. As the evaluation of the prototypical implementation showed, this approach can support to detect fake reviews. Many different stakeholders in the Tourism sector can profit from this automatic tool. Thus, hoteliers can take measures to safe their reputation, guests can benefit in their decision-making process and research might use the tool as an initial starting point for future research in the area of fake information.
In application/xml+jats
format
Archived Files and Locations
application/pdf 334.1 kB
file_cspn7j4axzfi3gxrqrbpfgrnd4
|
link.springer.com (publisher) web.archive.org (webarchive) |
chapter
Stage
published
Year 2021
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar