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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After establishing print media bias and Facebook trend as reliable predictors of election outcome, the study analyses the relationship between the two before and during the 2014 Indian Lok Sabha election. Time-lagged correlation is used to study the immediate effect of newspaper reports on the political behaviour of Facebook. Further, a correlation was found to exist between the long-term political trends in the print media and Facebook. That is, the number of positive and negative news reports published on a party in the newspapers affected the number of ‘likes’ recorded on the Facebook fan page of the party or its candidate.
Francis P. Barclay. 2015. \u201cIndia Elections 2014: Time-Lagged Correlation between Media Bias and Facebook Trend\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 15 (GJHSS Volume 15 Issue A2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: India
Subject: Global Journal of Human-Social Science - A: Arts & Humanities
Authors: Francis P. Barclay, C. Pichandy, Anusha Venkat (PhD/Dr. count: 0)
View Count (all-time): 139
Total Views (Real + Logic): 4476
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Publish Date: 2015 03, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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After establishing print media bias and Facebook trend as reliable predictors of election outcome, the study analyses the relationship between the two before and during the 2014 Indian Lok Sabha election. Time-lagged correlation is used to study the immediate effect of newspaper reports on the political behaviour of Facebook. Further, a correlation was found to exist between the long-term political trends in the print media and Facebook. That is, the number of positive and negative news reports published on a party in the newspapers affected the number of ‘likes’ recorded on the Facebook fan page of the party or its candidate.
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