Textual deception constitutes a major problem for online security. Many studies have argued
that deceptiveness leaves traces in writing style, which could be detected using text …

Advanced neural language models (NLMs) are widely used in sequence generation tasks
because they are able to produce fluent and meaningful sentences. They can also be used …

Fake news has become an industry on its own, where users paid to write fake news and
create clickbait content to allure the audience. Apparently, the detection of fake news is a …

Fabricated media from deep learning models, or deepfakes, have been recently applied to
facilitate social engineering efforts by constructing a trusted social persona. While existing …

All that glitters is not gold: a study of tourists' visit intention by watching deepfake destination
videos | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Extending the literature that has, thus far, mostly focused on the detection of fake online
reviews, this paper explores a more fundamental yet hitherto-unanswered question: How do …

Advances in deep neural networks (DNNs) have shown tremendous promise in the medical
domain. However, the deep learning tools that are helping the domain, can also be used …

In this paper, we present a novel method for measurably adjusting the semantics of text
while preserving its sentiment and fluency, a task we call semantic text exchange. This is …

Electronic word-of-mouth has become a key part of decision-making in the digital age
(Karakaya & Barnes, 2010), whereby particularly in tourism, user generated content (UGC) …

User reviews have become a cornerstone of how we make decisions. However, this user-
based feedback is susceptible to manipulation as recent research has shown the feasibility …