Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Social media has been one of the most effective and influential forms of communication in providing day-to-day information during the COVID-19 pandemic. The study demonstrates the effectiveness of social media platforms in raising public awareness in Bangladesh during the pandemic. The study employs a quantitative method based on 833 (Male 86.8%; Female 13.2%) valid responses from citizens of Bangladesh, disseminated through an online questionnaire using social media channels. Datasets were analyzed through statistical tools using Microsoft Excel and SPSS version 26 (IBM Corp), e.g., Frequency and Percentage, Descriptive Statistics, Principal Component Analysis (PCA), and Pearson’s Correlation Matrix (PCM). Based on the findings, Facebook (78.3%) has been the most used social media platform during the pandemic in Bangladesh. However, statistics of the majority (44.1%) indicate that only 37% of awareness (37%) related posts on social media attract their attention.
Basudev Paul. 2026. \u201cEffectiveness of using Social Media to Raise Public Awareness during the COVID-19 Pandemic in Bangladesh\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 22 (GJHSS Volume 22 Issue A6): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Total Score: 105
Country: Bangladesh
Subject: Global Journal of Human-Social Science - A: Arts & Humanities
Authors: Basudev Paul, Beauty Mondol, Nishat Tarannum, Purabi Matin, Md Saeem Sajid Haque (PhD/Dr. count: 0)
View Count (all-time): 155
Total Views (Real + Logic): 1668
Total Downloads (simulated): 29
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Social media has been one of the most effective and influential forms of communication in providing day-to-day information during the COVID-19 pandemic. The study demonstrates the effectiveness of social media platforms in raising public awareness in Bangladesh during the pandemic. The study employs a quantitative method based on 833 (Male 86.8%; Female 13.2%) valid responses from citizens of Bangladesh, disseminated through an online questionnaire using social media channels. Datasets were analyzed through statistical tools using Microsoft Excel and SPSS version 26 (IBM Corp), e.g., Frequency and Percentage, Descriptive Statistics, Principal Component Analysis (PCA), and Pearson’s Correlation Matrix (PCM). Based on the findings, Facebook (78.3%) has been the most used social media platform during the pandemic in Bangladesh. However, statistics of the majority (44.1%) indicate that only 37% of awareness (37%) related posts on social media attract their attention.
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