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Universitätsbibliothek Heidelberg
Verfasst von:Johnson, N F
 Leahy, R
 Restrepo, N Johnson
 Velasquez, N
 Zheng, M
 Manrique, P
 Devkota, P
 Wuchty, S
Titel:Hidden resilience and adaptive dynamics of the global online hate ecology
Verlagsort:England
Verlag:Nature Publishing Group
Jahr:2019
Umfang:5 S.
Fussnoten:ObjectType-Article-1 ; ObjectType-Feature-2 ; SourceType-Scholarly Journals-1 ; content type line 23
Inhalt:Online hate and extremist narratives have been linked to abhorrent real-world events, including a current surge in hate crimes and an alarming increase in youth suicides that result from social media vitriol ; inciting mass shootings such as the 2019 attack in Christchurch, stabbings and bombings ; recruitment of extremists , including entrapment and sex-trafficking of girls as fighter brides ; threats against public figures, including the 2019 verbal attack against an anti-Brexit politician, and hybrid (racist-anti-women-anti-immigrant) hate threats against a US member of the British royal family ; and renewed anti-western hate in the 2019 post-ISIS landscape associated with support for Osama Bin Laden's son and Al Qaeda. Social media platforms seem to be losing the battle against online hate and urgently need new insights. Here we show that the key to understanding the resilience of online hate lies in its global network-of-network dynamics. Interconnected hate clusters form global 'hate highways' that-assisted by collective online adaptations-cross social media platforms, sometimes using 'back doors' even after being banned, as well as jumping between countries, continents and languages. Our mathematical model predicts that policing within a single platform (such as Facebook) can make matters worse, and will eventually generate global 'dark pools' in which online hate will flourish. We observe the current hate network rapidly rewiring and self-repairing at the micro level when attacked, in a way that mimics the formation of covalent bonds in chemistry. This understanding enables us to propose a policy matrix that can help to defeat online hate, classified by the preferred (or legally allowed) granularity of the intervention and top-down versus bottom-up nature. We provide quantitative assessments for the effects of each intervention. This policy matrix also offers a tool for tackling a broader class of illicit online behaviours such as financial fraud.
ISSN:0028-0836
Titel Quelle:Nature (London)
Jahr Quelle:2019
Band/Heft Quelle:573, 7773, S. 261-265
DOI:doi:10.1038/s41586-019-1494-7
URL:http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fwww.ncbi.nlm.nih.gov%2Fpubmed%2F31435010
 http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F2293960529
 http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F2289567052
 DOI: https://doi.org/10.1038/s41586-019-1494-7
Sprache:English
Sach-SW:Adaptations
 Adjustment (Psychology)
 Analysis
 Chemical bonds
 Covalent bonds
 Critical phenomena
 Digital media
 Ecology
 Entrapment
 Extremism
 Forecasts and trends
 Fraud
 Girls
 Global Health
 Hate
 Hate speech
 Highways
 Human trafficking
 Humans
 Internet
 Intervention
 Landscape
 Maintenance
 Mass murders
 Mathematical analysis
 Mathematical models
 Matrix methods
 Methods
 Noncitizens
 Organic chemistry
 Phase transitions
 Resilience
 Resilience (Personality trait)
 Rewiring
 Shootings
 Social engineering
 Social Media - standards
 Social Media - statistics & numerical data
 Social Media - trends
 Social networks
 Stabbings
 Synagogues
 Technology application
 Terrorism
 White supremacy
 Youth
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