Archetypal Populism: The “Intellectual Dark Web” and the “Peterson Paradox”

2020 ◽  
pp. 171-198
Author(s):  
Darren Kelsey
Keyword(s):  
Dark Web

The elementary forms of digital culture. Knowledge, connections and sociality

2020 ◽  
pp. 316-328
Author(s):  
Vincenzo Susca
Keyword(s):  
Public Opinion ◽  
Daily Life ◽  
Digital Culture ◽  
Social Boundaries ◽  
Public Spheres ◽  
The Public ◽  
Nation States ◽  
The Senses ◽  
Point Of Intersection ◽  
Dark Web

Contemporary communicative platforms welcome and accelerate a socio-anthropological mutation in which public opinion (Habermas, 1995) based on rational individuals and alphabetic culture gives way to a public emotion whose emotion, empathy and sociality are the bases, where it is no longer the reason that directs the senses but the senses that begin to think. The public spheres that are elaborated in this way can only be disjunctive (Appadurai, 2001), since they are motivated by the desire to transgress the identity, political and social boundaries where they have been elevated and restricted. The more the daily life, in its local intension and its global extension, rests on itself and frees itself from projections or infatuations towards transcendent and distant orders, the more the modern territory is shaken by the forces that cross it and pierce it. non-stop. The widespread disobedience characterizing a significant part of the cultural events that take place in cyberspace - dark web, web porn, copyright infringement, trolls, even irreverent ... - reveals the anomic nature of the societal subjectivity that emerges from the point of intersection between technology and naked life. Behind each of these offenses is the affirmation of the obsolescence of the principles on which much of the modern nation-states and their rights have been based. Each situation in which a tribe, cloud, group or network blends in a state of ecstasy or communion around shared communications, symbols and imaginations, all that surrounds it, in material, social or ideological terms, fades away. in the air, being isolated by the power of a bubble that in itself generates culture, rooting, identification: transpolitic to inhabit

scholarly journals Proactively Identifying Emerging Hacker Threats from the Dark Web

2020 ◽  
Vol 23 (4) ◽  
pp. 1-33
Author(s):  
Sagar Samtani ◽  
Hongyi Zhu ◽  
Hsinchun Chen
Keyword(s):  
Dark Web

An Expert System for Classifying Harmful Content on the Dark Web

2020 ◽  
Author(s):  
Hanae Kobayashi ◽  
Masashi Kadoguchi ◽  
Shota Hayashi ◽  
Akira Otsuka ◽  
Masaki Hashimoto
Keyword(s):  
Expert System ◽  
Harmful Content ◽  
Dark Web

scholarly journals An Unsupervised Model for Identifying and Characterizing Dark Web Forums

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Saiba Nazah ◽  
Shamsul Huda ◽  
Jemal H. Abawajy ◽  
Mohammad Mehedi Hassan
Keyword(s):  
Web Forums ◽  
Dark Web

A Light in the Dark Web: Linking Dark Web Aliases to Real Internet Identities

2020 ◽  
Author(s):  
Ehsan Arabnezhad ◽  
Massimo La Morgia ◽  
Alessandro Mei ◽  
Eugenio Nerio Nemmi ◽  
Julinda Stefa
Keyword(s):  
Dark Web

Influence of COVID-19 Epidemic on Dark Web Contents

2021 ◽  
Author(s):  
Abdul Razaque ◽  
Bakhytzhan Valiyev ◽  
Bandar Alotaibi ◽  
Munif Alotaibi ◽  
Saule Amanzholova ◽  
...  
Keyword(s):  
Machine Learning ◽  
Technical Progress ◽  
Confidential Information ◽  
Web Contents ◽  
Global Events ◽  
Dark Web

The Dark Web is known as a place triggering a variety of criminal activities. Anonymization techniques enable illegal operations, leading to the loss of confidential information and its further use as bait, a trade product or even a crime tool. Despite technical progress, there is still not enough awareness of the Dark Web and its secret activity. In this study, we introduced the Dark Web Enhanced Analysis (DWEA), in order to analyze and gather information about the content accessed on the Dark Net based on data characteristics. The research was performed to identify how the Dark Web has been influenced by recent global events, such as the COVID-19 epidemic. The research included the usage of a crawler, which scans the network and collects data for further analysis with machine learning. The result of this work determines the influence of the COVID-19 epidemic on the Dark Net.

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