Results 11 to 20 of about 346,740 (322)

Leveraging Stacking Framework for Fake Review Detection in the Hospitality Sector

Journal of Theoretical and Applied Electronic Commerce Research
Driven by motives of profit and competition, fake reviews are increasingly used to manipulate product ratings. This trend has caught the attention of academic researchers and international regulatory bodies.
Syed Abdullah Ashraf, Aariz Faizan Javed, Sreevatsa Bellary, Pradip Kumar Bala, Prabin Kumar Panigrahi   +4 more
doaj   +2 more sources

Fake review detection using deep learning

AIP Conference Proceedings
With the exponential growth of online user-generated content, the issue of fake reviews has become a significant concern, impacting consumer decisions and trust in online platforms. Detecting fake reviews manually is challenging due to the sheer volume of reviews generateddaily.
Jayareka Subramanian, Deepadharsan Madhaiyan, Dhanush Venkatesan, Dhanushwar Balu, Sobiyaa Palanisamy, Maheshkumar Karagowder, Sathiyabhama Balasubramaniyam, Fathima Shahul Hameed, Vinodhini Velleangiri   +8 more
semanticscholar   +3 more sources

Fake news detection: a survey of evaluation datasets [PDF]

PeerJ Computer Science, 2021
Fake news detection has gained increasing importance among the research community due to the widespread diffusion of fake news through media platforms. Many dataset have been released in the last few years, aiming to assess the performance of fake news ...
Arianna D’Ulizia, Maria Chiara Caschera, Fernando Ferri, Patrizia Grifoni   +3 more
doaj   +2 more sources

Fake News Detection using LSTM based deep learning approach [PDF]

ITM Web of Conferences, 2023
The identification of false information has become a critical concern in the modern era of technology, as the ready availability of information and widespread utilization of social media platforms have accelerated the dissemination of inaccurate news ...
Jaybhaye Sangita M., Badade Vivek, Dodke Aryan, Holkar Apoorva, Lokhande Priyanka   +4 more
doaj   +1 more source

Fake News Detection on Social Networks: A Survey

Applied Sciences, 2023
In recent years, social networks have developed rapidly and have become the main platform for the release and dissemination of fake news. The research on fake news detection has attracted extensive attention in the field of computer science.
Yanping Shen, Qingjie Liu, Na Guo, Jing Yuan, Yanqing Yang   +4 more
doaj   +1 more source

Machine learning-based Fake reviews detection with amalgamated features extraction method

Sukkur IBA Journal of Emerging Technologies, 2023
Product fake reviews are increasing as the trend is changing toward online sales and purchases. Fake review detection is critical and challenging for both researchers and online retailers.
Muhammad Bux Alvi, Majdah Alvi, Rehan Ali Shah, Mubashira Munir, Adnan Akhtar   +4 more
doaj   +1 more source

A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion

Heliyon, 2023
Currently, social networks have become the main source to acquire news about current global affairs. However, fake news appears and spreads on social media daily.
Suhaib Kh Hamed, Mohd Juzaiddin Ab Aziz, Mohd Ridzwan Yaakub   +2 more
doaj   +1 more source

Fake Review Detection System: A Review

International Journal of Scientific Research in Science and Technology, 2023
Fake reviews, often referred to as deceptive or dishonest reviews, have become a significant concern for both businesses and consumers (Feng et al., 2016). These reviews are deliberately crafted to mislead or manipulate the opinions of others and can be driven by various motives, such as financial gain, competition, or personal grudges (Liu et al ...
null Dr. Pankaj Kumar, null Alok Verma, null Anurag Srivastava, null Ayushi Pal   +3 more
openaire   +1 more source

Do Reviewers’ Words and Behaviors Help Detect Fake Online Reviews and Spammers? Evidence From a Hierarchical Model

IEEE Access, 2022
Although numerous studies have investigated spam detection and spammer detection on online platforms, they have ignored the fact that reviews written by the same reviewer may be correlated because each reviewer has their own distinct style.
Thi-Kim-Hien Le, Yi-Zhen Li, Sheng-Tun Li   +2 more
doaj   +1 more source

A Comprehensive Review on Fake News Detection With Deep Learning

IEEE Access, 2021
A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news.
M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar, Md. Saifur Rahman   +4 more
doaj   +1 more source