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Research ArticleOpen accessIn the keywordsReversal of Attitude: The Influence of Counter-Attitudinal InformationPauline Dibbets, Laura Adolphs, Ingeborg Close et al.Problem statement: Research has shown that both positive and negative information can alter a neutral attitude towards an unknown person, with negative information having, in general, a larger impact. Though this positive-negative asymmetry has received considerable attention, it has, to our knowledge, not been tested in more current and powerful social media, such as youtube. Although attitudes are not fixed, … …Journal of Social Sciences, Vol. 8, Issue 3 · 12 Jun 2012 · 9,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Modelling of Coronavirus Cases in Egypt: Poisson INARCH and Negative Binomial INARCHHanan ElsaiedThis study compares robust Poisson INARCH(P) models (more briefly: RP-INARCH) and robust negative binomial INARCH(p) models (more briefly: RNB-INARCH) to fit the new daily confirmed cases for the first wave of COVID 19 in Egypt. The robust estimation of these models is based on some modifications of the Conditional Maximum Likelihood Estimates (CMLE). The simulation results show that RNB-INARCH is … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 23 Jun 2021 · 7,116 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,179 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining of Social Media on Covid-19 Big Data Infodemic in IndonesiaFaisal Binsar, Tuga MauritsiusCovid-19 is an unprecedented disaster that is still difficult to contain. During the pandemic, there were a lot of cases that were reported to increase exponentially. In this situation, the dissemination of messages and information was very important. The social media platform has contributed as a channel of communication with unprecedented speed. However, the uncontrolled and irresponsible dissemination of information … …Journal of Computer Science, Vol. 16, Issue 11 · 16 Nov 2020 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Model of Cyber Extremists' Rhetorical Structure Towards Protecting Critical InfrastructureOsman Khairunnisa, Jano Zanariah, Ahmad RabiahMuch research at present focuses on the ways in which organizations secure their networks and information in the supply chain, ignoring the ways in which organizations construct and understand the core of the cybersecurity risks. Cybersecurity focuses more on defense mechanisms such as anti-virus software, malware protection, firewall and more on securing network and application. More research to understand extremist … …Journal of Computer Science, Vol. 20, Issue 6 · 14 Mar 2024 · 5,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoil Organic Carbon Stock under Different Age Ranges of Cashew Agroecosystems in the Sudano-Sahelian Zone of CameroonAwé Djongmo Victor, Noiha Noumi Valery, Zapfack LouisThe aim of this study was to quantify the current soil organic carbon stock under different age ranges of cashew agroecosystems in the Sudano-Sahelian zone of Cameroon in the context of greenhouse gas emissions and land degradation. It is so crucial for combating climate change and improving ecological restoration. Random field sampling was carried out on 0-10, 10-20 and 20-30 … …American Journal of Agricultural and Biological Sciences, Vol. 15, Issue 1 · 28 Dec 2020 · 6,993 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Transformer Based Model to Detect Environmental Related Distress on Online Social MediaUtkarsh Sharma, Prateek Pandey, Shishir KumarOnline social media has been recently employed as the source of data for the detection of traffic-related activities and to control the flow of traffic in smart cities all over the world. Till now an ample amount of research work has been done in identification of traffic-related incidents with the help of online social media platforms (mostly Twitter). Along with … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 462 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Observer-Based Social Media Marketing for Saudi Arabia ConsumersMahmoud Alblowi, Omar Aloufi, Najmah Fallatah et al.Global change has been significantly amplified by the Internet's swift development of technology. The emergence of social media has marked a significant improvement in communication and information availability. Therefore, the social media marketing industry is a significant area used to advertise a wide range of products. In the Kingdom of Saudi Arabia (KSA), social media platforms have been widely used … …Journal of Computer Science, Vol. 19, Issue 7 · 11 Jun 2023 · 5,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractFals-Ism: A Graph Isomorphism Framework for Multi-Level Detection of Falsified PDF DocumentsJosue Nguinabe, Franklin Tchakounte et al.Fake Portable Document Format (PDF) documents are disseminated in an incredible rhythm across social media. Negative incidences are obvious but effective solutions identifying falsified items in the PDF are still in need. Unlike determining malicious scripts inserted into the file, this research aims at identifying falsified objects from different layers of the document. Specifically, we introduce Fals-Ism, a novel approach … …Journal of Computer Science, Vol. 19, Issue 5 · 11 May 2023 · 5,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Functional Analysis of the Basic Helix-Loop-Helix Proteins in the Clawed Frogs' Genomes With Common Essential Pathways and Enriched Gene Ontology TermsWuyi LiuThe international Gene Ontology (GO) and pathway databases were used to functionally analyze the clawed frogs' Basic Helix-Loop-Helix (bHLH) transcription factors of Xenopus tropicalis and Xenopus laevis in a updated genome-wide survey. There were 41 GO terms and one pathway significantly enriched for Xenopus tropicalis, whereas there were 45 GO terms and 3 pathways significantly enriched for Xenopus laevis. Among … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 1 · 28 Mar 2019 · 8,490 accessesView PDFCite