Social Media Analytics, Strategies and Governance

Regular price €75.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
Aal
Aal System
Age Group_Uncategorized
Age Group_Uncategorized
algorithmic bias detection
artificial intelligence governance challenges
automatic-update
autonomous systems impact
B01=Hamid Jahankhani
B01=Nishan Chelvachandran
B01=Reza Montasari
B01=Stefan Kendzierskyj
Blockchain Technology
Category1=Non-Fiction
Category=PS
Category=UBW
Category=UN
Category=UNC
Category=UNF
COP=United Kingdom
Cyber Abuse
cybercrime research
Dark Web
Delivery_Pre-order
Digital Evidence
digital forensics methods
Digital Watermarking
DRM
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Fake News
Fraud Triangle
GDPR
HFT
Information Security
IoT Device
Language_English
MCI Patient
misinformation analysis
Ml Algorithm
Multimedia Service
NB Classifier
PA=Not yet available
Price_€50 to €100
privacy protection strategies
PS=Forthcoming
Roc Area
Smart City
Smart Phones
Social Media
Social Media Platforms
softlaunch
Support Vector Machine
UN

Product details

  • ISBN 9781032153605
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 04 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns

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.