Stay On-Topic: Generating Context-specific Fake Restaurant Reviews

Mika Juuti
Mika Juuti

ESORICS, 2018.

Cited by: 14|Bibtex|Views18
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Automatically generated fake restaurant reviews are a threat to online review systems. Recent research has shown that users have difficulties in detecting machine-generated fake reviews hiding among real restaurant reviews. The method used in this work (char-LSTM) has one drawback: it has difficulties staying in context, i.e. when it gene...More

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