Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Fake Reviews"”.
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Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks
Online public reviews have significant influenced customers who purchase products or seek services. Fake reviews are posted online to promote or demote targeted products or reputation of the organizations and businesses. Spam review detection has been the focus of many researchers in recent years. …
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Linguistic Deception Detection – Models, Domains, Behaviors, Stylistic Patterns to Large Language Models (LLMs)
Deception in language—ranging from fake news and spam to phishing and rumor—has long been a tool for manipulation, exploiting linguistic ambiguity and psychological triggers to mislead readers. Deception spanned varied domains, yet shared common traits, which enabled the development of …
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Three essays on online word-of-mouth and user behavior in online environments
… in understanding the influence of online reviews and textual content, important gaps remain regarding the role of visual content, emotional ambiguity, and manipulated expectations. This dissertation addresses these gaps through three essays that explore emerging psychological and …
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Exploring the Impact of Review Authenticity on Consumer Trust in the Online E-Commerce Industry in the UK
… increasingly makes consumers inclined to check reviews and purchase products. However, fake reviews or questions about review authenticity creates confusion among consumers and this triggers the question of consumer remain loyal to the brand. This aspect is important and reflects the research …
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Identifying End-User Challenges and Mitigation Strategies in Software Ecosystems: A Large-Scale Empirical Study on User Feedback
… to feedback, examining the growth of SECO reviews over time, and providing strategies to mitigate user challenges in SECOs. Methods: Over 2.4 million user reviews were scraped from 283 ecosystem platforms in app stores and review websites. Among these, over 40,000 relevant reviews from 139 …
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Learning-based Attack and Defense on Recommender Systems
… by websites to narrow down the options. Online reviews have also become an increasingly important factor in the final choice of a customer. Unfortunately, attackers have found ways to manipulate both reviews and recommendations to mislead users. A Recommendation System is a special type of …