Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger
Technologies and Blockchain to Combat Digital Deception and Counterfeit
Reality
- URL: http://arxiv.org/abs/1904.05386v3
- Date: Tue, 6 Feb 2024 00:04:11 GMT
- Title: Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger
Technologies and Blockchain to Combat Digital Deception and Counterfeit
Reality
- Authors: Paula Fraga-Lamas, Tiago M. Fern\'andez-Caram\'es
- Abstract summary: Digital deception raises concerns over role of Internet and social media in democratic societies.
This overview aims to explore the potential of Distributed Ledger Technologies (DLTs) and blockchain to combat digital deception.
Some recommendations are enumerated to guide future researchers on issues that will have to be tackled to face fake news, disinformation and deepfakes.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The rise of ubiquitous deepfakes, misinformation, disinformation, propaganda
and post-truth, often referred to as fake news, raises concerns over the role
of Internet and social media in modern democratic societies. Due to its rapid
and widespread diffusion, digital deception has not only an individual or
societal cost (e.g., to hamper the integrity of elections), but it can lead to
significant economic losses (e.g., to affect stock market performance) or to
risks to national security. Blockchain and other Distributed Ledger
Technologies (DLTs) guarantee the provenance, authenticity and traceability of
data by providing a transparent, immutable and verifiable record of
transactions while creating a peer-to-peer secure platform for storing and
exchanging information. This overview aims to explore the potential of DLTs and
blockchain to combat digital deception, reviewing initiatives that are
currently under development and identifying their main current challenges.
Moreover, some recommendations are enumerated to guide future researchers on
issues that will have to be tackled to face fake news, disinformation and
deepfakes, as an integral part of strengthening the resilience against
cyber-threats on today's online media.
Related papers
- Deepfake Media Forensics: State of the Art and Challenges Ahead [51.33414186878676]
AI-generated synthetic media, also called Deepfakes, have influenced so many domains, from entertainment to cybersecurity.
Deepfake detection has become a vital area of research, focusing on identifying subtle inconsistencies and artifacts with machine learning techniques.
This paper reviews the primary algorithms that address these challenges, examining their advantages, limitations, and future prospects.
arXiv Detail & Related papers (2024-08-01T08:57:47Z) - IT Strategic alignment in the decentralized finance (DeFi): CBDC and digital currencies [49.1574468325115]
Decentralized finance (DeFi) is a disruptive-based financial infrastructure.
This paper seeks to answer two main questions 1) What are the common IT elements in the DeFi?
And 2) How the elements to the IT strategic alignment in DeFi?
arXiv Detail & Related papers (2024-05-17T10:19:20Z) - Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities.
Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy.
This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
arXiv Detail & Related papers (2024-03-28T07:08:26Z) - Debunking Disinformation: Revolutionizing Truth with NLP in Fake News
Detection [7.732570307576947]
The Internet and social media have altered how individuals access news in the age of instantaneous information distribution.
Fake news is rapidly spreading on digital platforms, which has a negative impact on the media ecosystem.
Natural Language Processing has emerged as a potent weapon in the growing war against disinformation.
arXiv Detail & Related papers (2023-08-30T21:25:31Z) - When Quantum Information Technologies Meet Blockchain in Web 3.0 [86.91054991998273]
We introduce a quantum blockchain-driven Web 3.0 framework that provides information-theoretic security for decentralized data transferring and payment transactions.
We discuss the potential applications and challenges of implementing quantum blockchain in Web 3.0.
arXiv Detail & Related papers (2022-11-29T05:38:42Z) - Recordism: A social-scientific prospect of blockchain from social,
legal, financial, and technological perspectives [11.332156663263564]
This study focuses on four key perspectives: methodological, legal, financial, and technical.
It finds that blockchain is not only an innovative cognition method, but also a community representative.
Despite some challenges in integrating blockchain with existing social structures, this paper concludes that blockchain has the potential to play a significant role in shaping the future.
arXiv Detail & Related papers (2022-04-02T09:16:34Z) - SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread? [5.64512235559998]
Social Networks' omnipresence and ease of use has revolutionized the generation and distribution of information in today's world.
Unlike traditional media channels, social networks facilitate faster and wider spread of disinformation and misinformation.
Viral spread of false information has serious implications on the behaviors, attitudes and beliefs of the public.
arXiv Detail & Related papers (2021-05-22T09:26:13Z) - An Agenda for Disinformation Research [3.083055913556838]
Disinformation erodes trust in the socio-political institutions that are the fundamental fabric of democracy.
The distribution of false, misleading, or inaccurate information with the intent to deceive is an existential threat to the United States.
New tools and approaches must be developed to leverage these affordances to understand and address this growing challenge.
arXiv Detail & Related papers (2020-12-15T19:32:36Z) - DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using
Blockchain [0.0]
This paper proposes a novel hybrid model DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using.
The DeHiDe is a blockchain-based framework for legitimate news sharing by filtering out the fake news.
It combines the benefit of blockchain with an intelligent deep learning model to reinforce robustness and accuracy in combating fake news's hurdle.
arXiv Detail & Related papers (2020-10-17T11:11:10Z) - Leveraging Multi-Source Weak Social Supervision for Early Detection of
Fake News [67.53424807783414]
Social media has greatly enabled people to participate in online activities at an unprecedented rate.
This unrestricted access also exacerbates the spread of misinformation and fake news online which might cause confusion and chaos unless being detected early for its mitigation.
We jointly leverage the limited amount of clean data along with weak signals from social engagements to train deep neural networks in a meta-learning framework to estimate the quality of different weak instances.
Experiments on realworld datasets demonstrate that the proposed framework outperforms state-of-the-art baselines for early detection of fake news without using any user engagements at prediction time.
arXiv Detail & Related papers (2020-04-03T18:26:33Z) - Mining Disinformation and Fake News: Concepts, Methods, and Recent
Advancements [55.33496599723126]
disinformation including fake news has become a global phenomenon due to its explosive growth.
Despite the recent progress in detecting disinformation and fake news, it is still non-trivial due to its complexity, diversity, multi-modality, and costs of fact-checking or annotation.
arXiv Detail & Related papers (2020-01-02T21:01:02Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.