The illicit trade of COVID-19 vaccines on the dark web
- URL: http://arxiv.org/abs/2102.05470v5
- Date: Mon, 4 Apr 2022 16:59:58 GMT
- Title: The illicit trade of COVID-19 vaccines on the dark web
- Authors: Alberto Bracci, Matthieu Nadini, Maxwell Aliapoulios, Damon McCoy, Ian
Gray, Alexander Teytelboym, Angela Gallo, Andrea Baronchelli
- Abstract summary: Early analyses revealed that dark web marketplaces (DWMs) started offering COVID-19 related products (e.g., masks and COVID-19 tests) as soon as the COVID-19 pandemic started.
Here, we broaden the scope and depth of previous investigations by analysing 194 DWMs until July 2021, including the crucial period in which vaccines became available.
We show that recreational drugs are the most affected among traditional DWMs product, with COVID-19 mentions steadily increasing since March 2020.
- Score: 55.45786602961871
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Early analyses revealed that dark web marketplaces (DWMs) started offering
COVID-19 related products (e.g., masks and COVID-19 tests) as soon as the
COVID-19 pandemic started, when these goods were in shortage in the traditional
economy. Here, we broaden the scope and depth of previous investigations by
analysing 194 DWMs until July 2021, including the crucial period in which
vaccines became available, and by considering the wider impact of the pandemic
on DWMs. First, we focus on vaccines. We find 250 listings offering approved
vaccines, like Pfizer/BioNTech and AstraZeneca, as well as vendors offering
fabricated proofs of vaccination and COVID-19 passports. Second, we consider
COVID-19 related products. We reveal that, as the regular economy has become
able to satisfy the demand of these goods, DWMs have decreased their offer.
Third, we analyse the profile of vendors of COVID-19 related products and
vaccines. We find that most of them are specialized in a single type of
listings and are willing to ship worldwide. Finally, we consider a broader set
of listings mentioning COVID-19 as proxy for the general impact of the pandemic
on these DWMs . Among 10,330 such listings, we show that recreational drugs are
the most affected among traditional DWMs product, with COVID-19 mentions
steadily increasing since March 2020. We anticipate that our effort is of
interest to researchers, practitioners, and law enforcement agencies focused on
the study and safeguard of public health.
Related papers
- Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy
among Healthcare Workers [64.1526243118151]
We find that doctors are overall more positive toward the COVID-19 vaccines.
Doctors are more concerned with the effectiveness of the vaccines over newer variants.
Nurses pay more attention to the potential side effects on children.
arXiv Detail & Related papers (2022-09-11T14:22:16Z) - Vaccine Discourse on Twitter During the COVID-19 Pandemic [0.7161783472741748]
This study investigates posts related to COVID-19 vaccines on Twitter and focuses on those which have a negative stance toward vaccines.
A dataset of 16,713,238 English tweets related to COVID-19 vaccines was collected.
We show that the negativity with respect to COVID-19 vaccines has decreased over time along with the vaccine roll-outs.
arXiv Detail & Related papers (2022-07-23T13:50:51Z) - Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions [10.194753795363667]
We conduct an in-depth analysis of tweets related to the coronavirus vaccine on Twitter.
Results show that a majority of people are confident in the effectiveness of vaccines and are willing to get vaccinated.
Negative tweets are often associated with the complaints of vaccine shortages, side effects after injections and possible death after being vaccinated.
arXiv Detail & Related papers (2021-10-08T23:30:17Z) - Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19)
Pandemic: A Survey on the State-of-the-Arts [10.741018907229927]
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019.
The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives.
Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak.
arXiv Detail & Related papers (2021-07-17T13:12:30Z) - Rapid COVID-19 Risk Screening by Eye-region Manifestations [64.6260390977642]
There are more and more ocular manifestations that have been reported in the COVID-19 patients as growing clinical evidence.
We propose a new fast screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras.
Our model for COVID-19 rapid prescreening have the merits of the lower cost, fully self-performed, non-invasive, importantly real-time, and thus enables the continuous health surveillance.
arXiv Detail & Related papers (2021-06-12T01:56:10Z) - Dark Web Marketplaces and COVID-19: before the vaccine [53.447910186085586]
We analyse 851,199 listings extracted from 30 dark web marketplaces between January 1, 2020 and November 16, 2020.
We identify 788 listings directly related to COVID-19 products and monitor the temporal evolution of product categories.
We reveal how the online shadow economy has evolved during the COVID-19 pandemic and highlight the importance of a continuous monitoring of DWMs.
arXiv Detail & Related papers (2020-08-04T14:27:41Z) - A Review on the State of the Art in Non Contact Sensing for COVID-19 [9.658514673601326]
COVID-19 disease, caused by SARS-CoV-2, has resulted in a global pandemic recently.
Governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease.
The goal of controlling the spread of the virus is to prevent strain on hospital.
arXiv Detail & Related papers (2020-07-28T11:18:38Z) - A Survey on Applications of Artificial Intelligence in Fighting Against
COVID-19 [75.84689958489724]
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak.
As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic.
This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19.
arXiv Detail & Related papers (2020-07-04T22:48:15Z) - Mapping the Landscape of Artificial Intelligence Applications against
COVID-19 [59.30734371401316]
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization.
We present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence to tackle many aspects of the COVID-19 crisis.
arXiv Detail & Related papers (2020-03-25T12:30:33Z)
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.