Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality

Fraga‐Lamas, Paula; Fernández‐Caramés, Tiago M.

doi:10.1109/mitp.2020.2977589

Cited by 68 publications

(29 citation statements)

References 15 publications

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“…It assures high reliability, transparency, integrity, and availability of COVID-19 related data for medical professionals and researchers. Thus, tracking of trusted COVID-19 data can assist authorities in improving planning and management decisions such as practicing lockdowns to isolate potentially infected territories and outbreak forecasting [6,9,88,89]. To identify the fake news [86], a blockchain-based system can register, rank, and filter news based on the reputation of news agencies.…”

Section: Tracking Of Covid-19 Datamentioning

confidence: 99%

Blockchain and COVID-19 Pandemic: Applications and Challenges

Ahmad¹,

Salah²,

Jayaraman³

et al. 2023

Preprint

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The year 2020 has witnessed the emergence of coronavirus disease (COVID-19) that has rapidly spread and adversely affected the global economy, health, and human lives. The COVID-19 pandemic has exposed the limitations of existing healthcare systems regarding its inadequacy to timely and efficiently handle public health emergencies. A large portion of today's healthcare systems are centralized and fall short in providing necessary information security and privacy, data immutability, transparency, and traceability features to detect frauds related to COVID-19 vaccination certification, anti-body testing, and medical supplies. Blockchain technology can assist to combat the COVID-19 pandemic by assuring safe and reliable medical supplies, accurate identification of virus hot spots, and establishing data provenance to verify the genuine personal protective equipment that is decentralized, trustworthy, traceable, and transparent. In this paper, we discuss the potential blockchain applications for the COVID-19 pandemic. We present the high-level design of three blockchain-based systems to enable the governments and medical professionals to efficiently handle health emergencies caused by COVID-19. We discuss the important ongoing blockchain-based research projects to demonstrate the adoption of blockchain technology for the COVID-19. Finally, we identify and discuss future research challenges along with their key causes and guidelines.

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Section: Tracking Of Covid-19 Datamentioning

confidence: 99%

Blockchain and COVID-19 Pandemic: Applications and Challenges

Ahmad¹,

Salah²,

Jayaraman³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Emerging technologies (such as blockchain) could have an impact in filtering, combating or blocking fake news and deep fakes. Due to the traceability, transparency and decentralization nature [78,79], blockchain is going to revolutionize the way information is produced and distributed and will increase confidence by providing communications and media organizations and online users with trusted data tracking systems, ensuring a reliable way of verifying digital content, including video, and its source and history [80][81][82].…”

Section: Conceptual Structure Of Knowledge Analysismentioning

confidence: 99%

Learning from Each Other—A Bibliometric Review of Research on Information Disorders

et al. 2021

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Interest in research connected to information disorders has grown considerably in recent years. The phrase “information disorders” refers to three different notions: dis-, mis-, and malinformation. It is difficult to pin down this new and dynamic phenomenon of informational disruption and to assess its impact on society. Therefore, we conducted a bibliometric analysis on the complexity of information disorders using the Web of Science Core Collection database from 1975 to June 2021. We analyzed 8964 papers with the goal to have an overall picture of the topic, clarify the knowledge framework of research in this field, examine the development dynamics, identify future research directions and increase the understanding of the research on information disorders. The following are our main findings: the number of publications, authors, and journals has increased; research on information disorders has earned considerable attention in multiple academic fields; there are more and more works written in collaboration by scholars from different parts and cultures of the world. This paper makes important contributions to the literature, not only by providing researchers and practitioners with a coherent and perceptible intellectual basis to find answers, but also by bringing valuable insights for further investigation and future research directions.

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“…According to the recent studies, fake news is disseminated through automated and aggressive techniques (Fraga-Lamas & Fernández-Caramés 2020). In Russia, the news causing the widest public resonance was disseminated via bots (automated accounts), trolls (agents producing false content) and fake accounts.…”

Section: Rizomamentioning

confidence: 99%

Coronavirus fake news in Russia: specificity and criteria for detection

Demushina

Semikina

2020

RZM

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The paper examines special features of fake news about COVID-19 published in Russian social media. Based on the literature review and the analysis of fake news stories circulating in Russian social media and related to COVID-19, the criteria for fake news detection were developed: aim, wide circulation online, public interest, aggressive techniques of dissemination, outrageous nature, falsity, intentionality, low quality, simple ways of problems decision, encouraging readers to share the article, "screaming" headlines.

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Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality

Cited by 68 publications

References 15 publications

Blockchain and COVID-19 Pandemic: Applications and Challenges

Blockchain and COVID-19 Pandemic: Applications and Challenges

Learning from Each Other—A Bibliometric Review of Research on Information Disorders

Coronavirus fake news in Russia: specificity and criteria for detection

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