Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

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

SK Hamed, MJ Ab Aziz, MR Yaakub - Heliyon, 2023 - cell.com
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. This …

Multimodal fake news detection on social media: a survey of deep learning techniques

C Comito, L Caroprese, E Zumpano - Social Network Analysis and Mining, 2023 - Springer
The escalation of false information related to the massive use of social media has become a
challenging problem, and significant is the effort of the research community in providing …

Gpt-4v (ision) as a social media analysis engine

H Lyu, J Huang, D Zhang, Y Yu, X Mou, J Pan… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …

The ethics of advanced ai assistants

I Gabriel, A Manzini, G Keeling, LA Hendricks… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

Fighting disinformation with artificial intelligence: fundamentals, advances and challenges

A Montoro Montarroso, J Cantón-Correa… - 2023 - digibug.ugr.es
Internet and social media have revolutionised the way news is distributed and consumed.
However, the constant flow of massive amounts of content has made it difficult to discern …

Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions

Z Boukouvalas, A Shafer - Annual Review of Statistics and Its …, 2024 - annualreviews.org
With the evolution of social media, cyberspace has become the default medium for social
media users to communicate, especially during high-impact events such as pandemics …

Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign

RG Mayopu, YY Wang, LS Chen - Big Data and Cognitive Computing, 2023 - mdpi.com
Recent studies have indicated that fake news is always produced to manipulate readers and
that it spreads very fast and brings great damage to human society through social media …

Identifying multimodal misinformation leveraging novelty detection and emotion recognition

R Kumari, N Ashok, PK Agrawal, T Ghosal… - Journal of Intelligent …, 2023 - Springer
With the growing presence of multimodal content on the web, a specific category of fake
news is rampant on popular social media outlets. In this category of fake online information …

Transformer-based models for combating rumours on microblogging platforms: a review

R Anggrainingsih, GM Hassan, A Datta - Artificial Intelligence Review, 2024 - Springer
The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …