Cristin-prosjekt-ID: 2540626
Sist endret: 22. mai 2024, 15:20

Cristin-prosjekt-ID: 2540626
Sist endret: 22. mai 2024, 15:20
Prosjekt

Violence-Inducing Behaviour Prevention in Social-Cyber Space of Local Communities (SOCYTI)

prosjektleder

Rajendra Arvind Akerkar
ved Vestlandsforsking

prosjekteier / koordinerende forskningsansvarlig enhet

  • Vestlandsforsking

Finansiering

  • TotalbudsjettNOK 19.319.000
  • Norges forskningsråd
    Prosjektkode: 331736

Klassifisering

Vitenskapsdisipliner

Informasjons- og kommunikasjonsteknologi

Emneord

Computational social science • Deep learning • Sosiale medier • Generering av naturlig språk • sosial cybersikkerhet • Semantisk web • Artificial Intelligence

Kategorier

Prosjektkategori

  • Anvendt forskning

Kontaktinformasjon

Tidsramme

Aktivt
Start: 1. mai 2022 Slutt: 30. september 2026

Beskrivelse Beskrivelse

Tittel

Violence-Inducing Behaviour Prevention in Social-Cyber Space of Local Communities (SOCYTI)

Populærvitenskapelig sammendrag

There is a need to assess and mitigate the dynamic risks associated with the social environment through malicious behaviour online such as spreading hate and misinformation on social media. Such behaviours significantly harm people’s response efforts of during disasters, and thus, local community services require tools to timely monitor risks to resilience from social environment.

In this project our primary objective is to develop advanced methods for monitoring and preventing such malicious behaviour on the Internet, through utilizing artificial intelligence or big data technologies in new manners. The project will analyse social media data, by taking in account all ethical, social, and legal challenges and considerations, in contrast to traditional survey-based analytical approaches. The project will firmly contribute to the Norwegian government’s strategy and initiatives against online hate speech and hate crime.

The project has a potential to impact the everyday lives of citizens, their well-being with huge social impact, and also has the potential to contribute to the United Nations’ sustainable development goals. Stakeholder representatives will be involved at all stages of the project. The project consortium consists of three partners from Norway and one international partner from the USA with complementary expertise covering all aspects of the project.

Vitenskapelig sammendrag

Community resilience has increasingly become a priority for local and regional authorities as well as for national governments. Available tools to support resilience initiatives of the local community services lack the ability to assess and mitigate the dynamic risks associated with malicious public behaviour online such as spreading hate and misinformation on social media, which can significantly harm official response efforts during disasters in their communities.

A variety of large-scale social media datasets, collaborative mapping tools, and data science approaches have emerged that can facilitate computational social science research to gain a better understanding of community resilience processes accounting for public behaviour and design actionable tools for the community services.

In the SOCYTI project our key objective is to investigate how to improve community resilience, primarily using a principled approach of social cybersecurity, by developing methods and tools to timely inform the Norwegian community services for proactive interventions at scale regarding violence-inducing behaviours online, i.e. the risks to societal atmosphere (e.g., violence-inducing behaviours of online hate speech, violence, and abuse against women on social media). The project will conduct large-scale analytics on big data sources, taking in account all ethical, social, and legal (privacy and data protection) challenges for data management. This approach differs significantly from existing approaches consisting of only small-scale human observations, or survey-based analytical approaches.

The project has the potential to impact the everyday lives of citizens and their well-being with huge social impact and will also contribute positively to the UN sustainable development goals, namely SDGs 11-16-17.

Stakeholder representatives will be involved at all stages of the project. The project consortium consists of three partners from Norway and one international partner from the USA with complementary expertise covering all aspects of the project.

prosjektdeltakere

prosjektleder

Rajendra Arvind Akerkar

  • Tilknyttet:
    Prosjektleder
    ved Vestlandsforsking

Ehtesham Hashmi

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for informasjonssikkerhet og kommunikasjonsteknologi ved Norges teknisk-naturvitenskapelige universitet

Dante Della Vella

  • Tilknyttet:
    Prosjektdeltaker
    ved Vestlandsforsking

Yasas Senarath

  • Tilknyttet:
    Prosjektdeltaker
    ved George Mason University

Sarang Shaikh

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for informasjonssikkerhet og kommunikasjonsteknologi ved Norges teknisk-naturvitenskapelige universitet
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Resultater Resultater

The Utility of Community Resilience Models for the Prevention of Online Violence.

Vella, Dante Della; Nguyen, Hoang Long; Akerkar, Rajendra Arvind. 2024, ISCRAM 2024. VFVitenskapelig foredrag

Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI.

Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Yamin, Muhammad Mudassar; Ali, Subhan; Abomhara, Mohamed Ali Saleh. 2024, IEEE Access. NTNUVitenskapelig artikkel

Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers.

Hashmi, Ehtesham; Yildirim-Yayilgan, Sule. 2024, Complex & Intelligent Systems. NTNUVitenskapelig artikkel

Violence-Inducing Behavior Prevention in Social-Cyber Space.

Senarath, Yasas; Purohit, Hemant; Akerkar, Rajendra Arvind. 2024, VFVitenskapelig Kapittel/Artikkel/Konferanseartikkel

Challenges in Regulating Online Hate-Speech Within the Norwegian Context.

Igland, Torborg; Dralega, Carol Azungi; Seddighi, Gilda. 2024, NLA, NORCEVitenskapelig Kapittel/Artikkel/Konferanseartikkel
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