Social Media Analytics, Strategies and Governance

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Aal
Aal System
algorithmic bias detection
artificial intelligence governance challenges
autonomous systems impact
Blockchain Technology
Category=UDBS
Category=UNC
Cyber Abuse
cybercrime research
Dark Web
Digital Evidence
digital forensics methods
Digital Watermarking
DRM
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eq_computing
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eq_isMigrated=2
eq_nobargain
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Fake News
Fraud Triangle
GDPR
HFT
Information Security
IoT Device
MCI Patient
misinformation analysis
Ml Algorithm
Multimedia Service
NB Classifier
privacy protection strategies
Roc Area
Smart City
Smart Phones
Social Media
Social Media Platforms
Support Vector Machine
UN

Product details

  • ISBN 9781032153513
  • Weight: 576g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Social media has spread rapidly on the global stage, driving consumers’ attention and influence, both consciously and subconsciously. Whilst this type of platform may have been initially designed as a tool for open communication and expression, it is also being utilized as a digital tool, with widescale use cases. The intelligence explosion, information overload and disinformation play a significant part regarding individual, group and country perceptions. The complex nature of this data explosion created an increasing demand and use of artificial intelligence (AI) and machine learning (ML), to help provide ‘big insights’ to ‘big data’. AI and ML enable the analysis and dissemination of vast amounts of data, however the ungoverned pace at which AI and autonomous systems have been deployed, has created unforeseen problems. Many algorithms and AI systems have been trained on limited or unverified datasets, creating inbuilt and unseen biases. Where these algorithmic tools have been deployed in high impact systems, there are documented occurrences of disastrous decision making and outcomes that have negatively impacted people and communities. Little to no work had been conducted in its vulnerability and ability to exploit AI itself. So, AI and autonomous systems, whilst being a force for societal good, could have the potential to create and exacerbate societies greatest challenges. This is a cohesive volume that addresses challenging problems and presents a range of innovative approaches and discussion.

Hamid Jahankhani has a PhD from the Queen Mary College, University of London and also became the first Professor of Information Security and Cyber Criminology in 2010. Hamid’s principal research area for a number of years has been in the field of cyber security, information security and digital forensics.

Stefan Kendzierskyj is a long-serving executive Director with extensive commercial and leadership skills in the digital transformation space for cyber security, SaaS products/services, AI/ML solutions and Cloud services.

Reza Montasari is a Senior Lecturer in Cyber Threats at the Hillary Rodham Clinton School of Law. Reza’s main research interests lie in the areas of Digital Forensics and Cyber Security but also include Cyber Law and Cyber Terrorism.

Nishan Chelvachandran is a high-level cybersecurity adviser, strategist, researcher and former UK Police Officer, with years of experience built on the strong foundations of bespoke operational activity in the UK Public Sector.