Machine-generated text: A comprehensive survey of threat models and detection methods

EN Crothers, N Japkowicz, HL Viktor - IEEE Access, 2023 - ieeexplore.ieee.org
Machine-generated text is increasingly difficult to distinguish from text authored by humans.
Powerful open-source models are freely available, and user-friendly tools that democratize …

A first look at online reputation on Airbnb, where every stay is above average

G Zervas, D Proserpio, JW Byers - Marketing Letters, 2021 - Springer
Judging by the millions of reviews left by guests on the Airbnb platform, this trusted
community marketplace for accommodations is fulfilling its mission of matching travelers with …

[HTML][HTML] Creating and detecting fake reviews of online products

J Salminen, C Kandpal, AM Kamel, S Jung… - Journal of Retailing and …, 2022 - Elsevier
Customers increasingly rely on reviews for product information. However, the usefulness of
online reviews is impeded by fake reviews that give an untruthful picture of product quality …

[BOK][B] The economics of platforms

P Belleflamme, M Peitz - 2021 - books.google.com
" According to historians, European trade took off at the end of the 12th century in what is
now the North of France, in the county of Champagne. 1 It is at this period that this county …

Fields of gold: Scra** web data for marketing insights

J Boegershausen, H Datta, A Borah… - Journal of …, 2022 - journals.sagepub.com
Marketing scholars increasingly use web scra** and application programming interfaces
(APIs) to collect data from the internet. Yet, despite the widespread use of such web data, the …

Fake review detection in e-Commerce platforms using aspect-based sentiment analysis

P Hajek, L Hikkerova, JM Sahut - Journal of Business Research, 2023 - Elsevier
Consumers rely on internet user reviews. Existing sentiment-based detection systems fail to
capture consumer feelings regarding numerous aspects of products or services which …

Fair ranking: a critical review, challenges, and future directions

GK Patro, L Porcaro, L Mitchell, Q Zhang… - Proceedings of the …, 2022 - dl.acm.org
Ranking, recommendation, and retrieval systems are widely used in online platforms and
other societal systems, including e-commerce, media-streaming, admissions, gig platforms …

Facilitating topic modeling in tourism research: Comprehensive comparison of new AI technologies

AP Kirilenko, S Stepchenkova - Tourism Management, 2025 - Elsevier
In the past few years, a new crop of transformer-based language models such as Google's
BERT and OpenAI's ChatGPT has become increasingly popular in text analysis, owing their …

Investigating the effects of host trust, credibility, and authenticity in podcast advertising

NH Brinson, LL Lemon - Journal of Marketing Communications, 2023 - Taylor & Francis
After decades of catering to niche audiences, podcasting is now recognized as a booming
industry with more than 100 million Americans tuning in every month. Moreover, marketers …

Do fake reviews promote consumers' purchase intention?

Y Song, L Wang, Z Zhang, L Hikkerova - Journal of Business Research, 2023 - Elsevier
Although fake reviews are ubiquitous in the information interface that consumers browse,
there is little research to understand the role of fake reviews in the online purchase process …