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  3. Fake Review Detection Model Evaluation Fake Review Detection Model Evaluation

Fake Review Detection Model Evaluation

Model evaluation for the detection of rating manipulation on hotel booking platforms

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

08.08.2024 - 31.12.2025

Overview

Fake reviews pose a major challenge for hotel booking platform operators, among others. With Large Language Models (LLM), the submission process for fake reviews can be automated and thus scaled as required. Our industry partner operates one of the largest hotel booking platforms in German-speaking countries and has developed a model for detecting fake reviews. In this project, a black box audit of this model is to be carried out by attempting to deliberately manipulate the rating of a specific hotel using LLMs without being detected by the software.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
Funding
  • Private / Stiftungen
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Persons involved: internal

Project manager
  • Marc Pouly
Project Co-Head
  • Pascal Wullschleger

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

08/08/2024 - 12/31/2025

Project Head

Prof. Dr. Marc Pouly

Co-Head Applied AI Research Lab

+41 41 757 68 25

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Project Co-Head

Pascal Wullschleger

Research Associate

+41 41 349 30 53

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Lucerne University of Applied Sciences and Arts


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