The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Bibliometric Analysis on the Role of Artificial Intelligence in Hate Speech and Policy Formulation: Enhancing Evidence-Based Decision-Making in Research Institutions
|
|
Author(s): Fredrick Kayusi (Maasai Mara University, Kenya), Linety Juma (Pwani University, Kenya), Michael Keari Omwenga (Pwani University, Kenya), Petros Keari Chavula (Haramaya University, Ethiopia), Maad M. Mijwil (Al-Iraqia University, Iraq), Kamal Kant Hiran (Sir Padampat Singhania University, India), Bismarck Agura Kayus (Kisii University, Kenya)and Manish Tiwari (Sir Padampat Singhania University, India)
Copyright: 2026
Pages: 32
Source title:
Detecting Hate Speech in Human and AI-Generated Content: Techniques, Bias Mitigation, and Ethical Considerations
Source Author(s)/Editor(s): Mohammad Arsalan (Qatar University, Qatar), Mehul Mahrishi (Swami Keshvanand Institute of Technology, India), Ruchi Doshi (Universidad Azteca, Chalco, Mexico), Archika Jain (Swami Keshvanand Institute of Technology, India)and Chandrashekhar Goswami (Sir Padampat Singhania University, India)
DOI: 10.4018/979-8-3373-3063-1.ch005
Purchase
|
Abstract
This paper involved a bibliometric analysis of academic research articles on the subject of Artificial Intelligence dealing with policy making in the Web of Science core collection of databases. The study included articles, reviews, and proceedings papers, published in English, before 17 August 2020. To normalize the potential fault estimate, the number of authors per year was divided by the total number of authors in a year knowing that a single article can have multiple authors. Nevertheless, for the total number of papers, only unique paper IDs were counted. Articles not tagged under “Policy”, or a synonymous topic as defined by Web of Science, were excluded because although employing AI, Gaming, i.e., agent-based models are widely prevalent in the study of policy formulation (Reza Saeidnia et al., 2024). The analytic method used is natural language processing and it includes categories exploring AI policy formulation, AI technology utilization in policy making, and AI social implication analysis (Prieto-Gutierrez et al., 2023).
Related Content
|
Sahar Yousif Mohammed, Maad M. Mijwil, Duaa Hikmat Abbas, Kamal Kant Hiran, Ali Guma, Indu Bala, Aseed Yaseen Rashid Al-Jubori.
© 2026.
16 pages.
|
|
Kashvi Chaturvedi, Yadnyesh Khapekar, Sunil Sankathala, Aditya Shrivastav, Atharva Haresh Saraf, Susanta Das.
© 2026.
24 pages.
|
|
Snehal Rahul Rathi, Aditi Meshram, Ritik Narote, Shilpa Prashant Kalantri.
© 2026.
24 pages.
|
|
Rituraj Jain, Ashish Sharna, Venkateswararao Pulipati, Nausheen Khilji, Rakesh Saxena.
© 2026.
30 pages.
|
|
Fredrick Kayusi, Linety Juma, Michael Keari Omwenga, Petros Keari Chavula, Maad M. Mijwil, Kamal Kant Hiran, Bismarck Agura Kayus, Manish Tiwari.
© 2026.
32 pages.
|
|
Neha Yadav, Mayank Singh, Vipin Tyagi.
© 2026.
24 pages.
|
|
Manish Mittal, Manish Tiwari, Ruchi Doshi, Kamal Kant Hiran.
© 2026.
24 pages.
|
|
|