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Journal articles on the topic 'Fake ranking'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Shruthi and s. uppar Prof.Anand. "Discovery of Fraud Applications in Mobile Stores." International Journal of Advances In Scientific Research and Engineering (IJASRE) 3, no. 4 (2017): 51–56. https://doi.org/10.5281/zenodo.581738.

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<em>As users of mobile phones and mobile stores, most of us have become the victims of fraud or deceptive activities by downloading or purchasing some applications which is of no use from mobile stores after viewing some fake ranking and also after reading some fake reviews. As we all know that numbers of mobile applications are increasing day by day and the question arising here is nothing but as the count of these mobileapplications increases why the number Frauds are also increase. The answer is simple that as new applications comes to market either for the purpose of stepping up or bumping

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Xing, Yunfei, Xiwei Wang, Feng-Kwei Wang, Yang Shi, Wu He, and Haowu Chang. "Ranking Influential Nodes of Fake News Spreading on Mobile Social Networks." Journal of Global Information Management 29, no. 4 (2021): 93–130. http://dx.doi.org/10.4018/jgim.20210701.oa5.

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Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of fake news and misinformation, assessing the network influence of online users has become an important issue. This study quantifies the influence of nodes by proposing an algorithm based on information entropy theory. Dynamic process of influence of nodes is characterized on mobile social networks (MSNs). Weibo (i.e., the Chinese version of microblogging) users are chosen to build the real network and quantified influence of them is analyzed according to the model proposed in this paper

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Divya, K., and S. Phani Praveen. "Mobile Apps Fake Detection based on Ranking using Evidence Aggregation." International Journal of Computer Trends and Technology 40, no. 2 (2016): 95–98. http://dx.doi.org/10.14445/22312803/ijctt-v40p118.

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Datta, V. Rakesh. "Efficient and Secure Model for Detect Malware and Fake Ranking Apps." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (2019): 2595–98. http://dx.doi.org/10.22214/ijraset.2019.4472.

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Gray, Jonathan, Liliana Bounegru, and Tommaso Venturini. "‘Fake news’ as infrastructural uncanny." New Media & Society 22, no. 2 (2020): 317–41. http://dx.doi.org/10.1177/1461444819856912.

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In this article, we examine how the social disturbance precipitated by ‘fake news’ can be viewed as a kind of infrastructural uncanny. We suggest that the threat of problematic and viral junk news can raise existential questions about the routine circulation, engagement and monetisation of content through the Web and social media. Prompted by the unsettling effects associated with the ‘fake news’ scandal, we propose methodological tactics for exploring (1) the link economy and the ranking of content, (2) the like economy and the metrification of engagement and (3) the tracker economy and the c

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Vanjari, Prof S. P., Priyanka Rekhawar, Ketki Shinde, Sakshi Shinde, and Prajkta Shelke. "Fraud Apps Detection Using Sentiment Analysis and Spam Filtering." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1975–77. http://dx.doi.org/10.22214/ijraset.2023.49724.

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Abstract: In the mobile app industry, ranking fraud is the practice of engaging in dishonest or deceitful behavior with the intention of artificially boosting an App's position on a popularity list. In fact, ranking fraud by app developers is becoming more and more common. These practices include inflating their apps' sales or uploading fake app reviews. Although the significance of preventing ranking fraud has long been understood, little knowledge and research have been done in this field. In order to do this, we present a comprehensive analysis of fraud app detection using sentiment analysi

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Ashish, Chandra Mohammad Suaib and Dr. Rizwan Beg. "GOOGLE SEARCH ALGORITHM UPDATES AGAINST WEB SPAM." Informatics Engineering, an International Journal (IEIJ) 03, mar (2015): 01–10. https://doi.org/10.5121/ieij.2015.3101.

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With the search engines' increasing importance in people's life, there are more and more attempts to illegitimately influence page ranking by means of web spam. Web spam detection is becoming a major challenge for internet search providers. The Web contains a huge number of profit-seeking ventures that are attracted by the prospect of reaching millions of users at a very low cost. There is an economic incentive for manipulating search engine’s listings by creating otherwise useless pages that score high ranking in the search results. Such manipulation is widespread in the industr

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Manríquez, Ronald, Camilo Guerrero-Nancuante, and Carla Taramasco. "Protection Strategy for Edge-Weighted Graphs in Disease Spread." Applied Sciences 11, no. 11 (2021): 5115. http://dx.doi.org/10.3390/app11115115.

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Fake news, viruses on computer systems or infectious diseases on communities are some of the problems that are addressed by researchers dedicated to study complex networks. The immunization process is the solution to these challenges and hence the importance of obtaining immunization strategies that control these spreads. In this paper, we evaluate the effectiveness of the DIL-Wα ranking in the immunization of nodes that are attacked by an infectious disease that spreads on an edge-weighted graph using a graph-based SIR model. The experimentation was done on real and scale-free networks and th

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Fedorov, O. "Fake News in Ancient Rome: Propaganda Creation and Interpretation Attemps." Visnyk of Kharkiv State Academy of Culture, no. 66 (December 26, 2024): 26–41. https://doi.org/10.31516/2410-5333.066.03.

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The relevance of the research. In modern times, we encounter fakes in the information space, especially in the context of the Russo-Ukrainian war. In order to better understand the specifics and features of conducting propaganda through the dissemination of fake news, we turned to antiquity, specifically Ancient Rome. It was in this state, perhaps more than any other in the ancient world, that a wide range of various fake inserts emerged — from spreading rumors in society to distorting facts in official documents and their falsification. The purpose of the article is to analyze the reasons for

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G., Mutyalamma, Komali K., and Pushpa G. "Ranking and Fraud Review Detection for Mobile Apps using KNN Algorithm." International Journal of Trend in Scientific Research and Development 2, no. 1 (2017): 1347–51. https://doi.org/10.31142/ijtsrd8232.

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Ranking fraud in the mobile App business propose to fraud exercises which have an inspiration self motivated, bringing up the Apps up in the prevalent rundown. By and by days, number of shady means are used more much of the time by application developers, such expanding their Apps business or posting fraud App appraisals, to give situating mutilation. There is a confined research for abstaining from ranking fraud. This paper gives a whole thought of situating double dealing and distinguishes the Ranking fraud unmistakable framework for mobile Apps. This work is gathering into three groupings.

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Wasim, Muhammad, Sehrish Munawar Cheema, and Ivan Miguel Pires. "Normalized effect size (NES): a novel feature selection model for Urdu fake news classification." PeerJ Computer Science 9 (October 24, 2023): e1612. http://dx.doi.org/10.7717/peerj-cs.1612.

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Social media has become an essential source of news for everyday users. However, the rise of fake news on social media has made it more difficult for users to trust the information on these platforms. Most research studies focus on fake news detection in the English language, and only a limited number of studies deal with fake news in resource-poor languages such as Urdu. This article proposes a globally weighted term selection approach named normalized effect size (NES) to select highly discriminative features for Urdu fake news classification. The proposed model is based on the traditional i

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Herrero-Solana, Victor, and Carlos Castro-Castro. "Telegram Channels and Bots: A Ranking of Media Outlets Based in Spain." Societies 12, no. 6 (2022): 164. http://dx.doi.org/10.3390/soc12060164.

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Telegram, an Industry 4.0 style communication service, is one of the world’s most widespread communication platforms. The availability of channels and bots has opened as a broadcast channel for any media outlet. We asked the following questions: Do media outlets from Spain use Telegram channels? Which media outlets? Are they verified? What is their volume of subscribers? Can this information be used to rank media outlets? We identified many media channels and data were collected from each one. We present the results in a ranking. Forty-two media based in Spain have Telegram channels, 26 of whi

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Pereira, João Victor Alves da Costa. "CONSTRUINDO O ‘MITO’ E DEMONIZANDO A ESQUERDA: UMA ANÁLISE DE DISCURSO CRÍTICA DAS DEZ FAKE NEWS MAIS COMPARTILHADAS VIA FACEBOOK E WHATSAPP DURANTE A ELEIÇÃO PRESIDENCIAL NO BRASIL EM 2018." Revista ft 29, no. 141 (2024): 30–31. https://doi.org/10.69849/revistaft/fa10202412062330.

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The dissemination of fake news, by means of texts which were massively shared on social media and spread disinformation among the population was a phenomenon that marked the 2018 Brazilian presidential elections. In October 2018, Revista Exame published a report containing a ranking with the ten most shared fake news throughout the first round of the presidential elections. Using the three-dimensional model of critical discourse analysis proposed by Norman Fairclough (2003), I analyzed the ten texts of the ranking, identifying their structure, and how the processes of lexicalization, intertext

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Kim, Seungbae, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, and Wei Wang. "Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 278–89. http://dx.doi.org/10.1609/icwsm.v15i1.18060.

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Since influencer marketing has become an essential marketing method, influencer fraud behavior such as buying fake followers and engagements to manipulate the popularity is under the spotlight. To address this issue, we propose a multi-task audience evaluation model that can assess both the loyalty and authenticity of influencers’ audiences. More specifically, the proposed model takes engagement information of an influencer’s audience, including likes and comments on social media posts, and predicts (i) the retention rate of the audience of the influencer and (ii) how the influencer is associa

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Školkay, Andrej, and Juraj Filin. "A Comparison of Fake News Detecting and Fact-Checking AI Based Solutions." Studia Medioznawcze 20, no. 4 (2019): 365–83. http://dx.doi.org/10.33077/uw.24511617.ms.2019.4.187.

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Scientific objective of this paper is to analyse how advanced are Artificial Intelligence (AI) tools to fight successfully information disorder. More specifically, this is an overview and ranking on existing tools based on AI in this specific area. Research method is comparative analytics. We compare the most developed and publicly available fake-news detecting and fact-checking AI based solutions (intelligent machines). The comparison is based on two key parameters: accuracy and comprehensiveness. Results and conclusions: Analyse show that a third of the examined AI systems are, in terms of c

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Miss, M. Ponmalathi* Dr V. Saravanan. "A NOVEL MANET APPROACH FOR RANKING FRAUD DETECTION USING AGGREGATION OF EVIDENCES." Global Journal of Engineering Science and Research Management 3, no. 11 (2016): 12–15. https://doi.org/10.5281/zenodo.165985.

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Mobile application plays an important role for all the smart phone users to play or perform different tasks.Mobile application developers are available in large number; they can develop the different mobile applications. For making lager users for their applications some developers involve in illegal activities. Due to these illegal activities the mobile applications hires high rank in the application popularity list. Such fraudulent activities are used by more and more application developers. A ranking fraud detection system for mobile Apps is proposed in this paper. Accurately locate the ran

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Anggrayni, Dewi, Nur Choiro Siregar, and Shabrina Khairani. "Intensification of New Media Against the Spread of Fake News in the Post Truth Era." Semantik: Journal of Social, Media, Communication, and Journalism 1, no. 2 (2024): 134. http://dx.doi.org/10.31958/semantik.v1i2.11105.

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Digital developments through new media trace progress in the transformation of knowledge in digital format. The transformation of media into public consumption is a catalyst for many changes in the digital world, besides that, social media innovation has also become fertile ground for the spread of fake news throughout the world, thereby catalyzing the formation of the post truth era. The aim of the research is to determine the impact of the intensification of social media on the spread of fake news in the post truth era. This research uses a qualitative method with a literature review approac

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Kiruthika., N*. "A NOVEL DATA MINING APPROACH FOR RANKING FRAUD DETECTION USING AGGREGATION OF EVIDENCES." Global Journal of Engineering Science and Research Management 4, no. 3 (2017): 1–5. https://doi.org/10.5281/zenodo.376575.

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Mobile application plays an important role for all the smart phone users to play or perform different tasks.Mobile application developers are available in large number; they can develop the different mobile applications. For making lager users for their applications some developers involve in illegal activities. Due to these illegal activities the mobile applications hires high rank in the application popularity list. Such fraudulent activities are used by more and more application developers. A ranking fraud detection system for mobile Apps is proposed in this paper. Accurately locate the ran

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ANDRIIV, Roman, and Iryna PIKH. "METHOD FOR RANKING THE RELIABILITY FACTORS OF TEXT MESSAGES." Computer systems and information technologies, no. 1 (March 27, 2025): 178–84. https://doi.org/10.31891/csit-2025-1-21.

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In recent years, the problem of information reliability has become a subject of increased scientific interest, which led to the formation of an interdisciplinary approach that combines methodologies of computer science, psychology, sociology and media education. Within the framework of the modern scientific paradigm, a comprehensive study of various aspects of this subject is carried out: from natural language processing and analysis of fake news to the study of the mechanisms of disinformation spread in social networks, the features of functioning of scientific and political communication, as

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Concepcion, Aleena, and Charlle Sy. "MODELING THE SPREAD OF FAKE NEWS ON SOCIAL NETWORKING SITES USING THE SYSTEM DYNAMICS APPROACH." ASEAN Engineering Journal 13, no. 4 (2023): 69–78. http://dx.doi.org/10.11113/aej.v13.19251.

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The problem of false news online has continued to worsen, especially after witnessing significant events around the world unfold, such as the 2018 Cambridge Analytica scandal, COVID-19 pandemic, to the 2021 January 6th Insurrection at the US Capitol. False information online has distorted online users’ perception of the real world. As daily life is more intertwined with the digital world, false news becomes a more urgent concern because of the way it can shape public opinion. This study presents a rumor propagation model, which was based on epidemiological models, to address the spread of fals

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Allaire-Duquette, Genevieve, Abdelkrim Hasni, Josée Nadia Drouin, et al. "Primary school pupils’ ability to detect fake science news following a news media literacy intervention: Exploration of their success rate, evaluation strategies, self-efficacy beliefs, and views of science news." Journal of Digital Educational Technology 5, no. 2 (2025): ep2509. https://doi.org/10.30935/jdet/15963.

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Widespread belief in scientific misinformation circulating online is a critical challenge for democracies. While research to date has focused on psychological, sociodemographic, and political antecedents to this phenomenon, fewer studies have explored the role of media literacy educational efforts, especially with children. Recent findings indicate that children are unprepared for critically evaluating scientific information online and that literacy instruction should address this gap. The aim of this study is to examine the ability to detect fake science news and the evaluation strategies emp

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Ormeño, Pablo, Marcelo Mendoza, and Carlos Valle. "Topic Models Ensembles for AD-HOC Information Retrieval." Information 12, no. 9 (2021): 360. http://dx.doi.org/10.3390/info12090360.

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Ad hoc information retrieval (ad hoc IR) is a challenging task consisting of ranking text documents for bag-of-words (BOW) queries. Classic approaches based on query and document text vectors use term-weighting functions to rank the documents. Some of these methods’ limitations consist of their inability to work with polysemic concepts. In addition, these methods introduce fake orthogonalities between semantically related words. To address these limitations, model-based IR approaches based on topics have been explored. Specifically, topic models based on Latent Dirichlet Allocation (LDA) allow

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Guarnera, Luca, Oliver Giudice, Francesco Guarnera, et al. "The Face Deepfake Detection Challenge." Journal of Imaging 8, no. 10 (2022): 263. http://dx.doi.org/10.3390/jimaging8100263.

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Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges for the research community. The Deepfake detection task has become widely addressed, but unfortunately, approaches in the literature suffer from generalization issues. In this paper, the Face Deepfake Detection and Reconstruction Challenge is described. Two different tasks were proposed to the participants: (i) creating a Deepfake detector capable o

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Alawadh, Husam M., Amerah Alabrah, Talha Meraj, and Hafiz Tayyab Rauf. "Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews." Information 14, no. 1 (2023): 34. http://dx.doi.org/10.3390/info14010034.

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Social media usage for news, feedback on services, and even shopping is increasing. Hotel services, food cleanliness and staff behavior are also discussed online. Hotels are reviewed by the public via comments on their websites and social media accounts. This assists potential customers before they book the services of a hotel, but it also creates an opportunity for abuse. Scammers leave deceptive reviews regarding services they never received, or inject fake promotions or fake feedback to lower the ranking of competitors. These malicious attacks will only increase in the future and will becom

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Nanda Ihwani Saputri, Yuliant Sibaroni, and Sri Suryani Prasetiyowati. "Covid-19 Fake News Detection on Twitter Based on Author Credibility Using Information Gain and KNN MethodsCovid-19 Fake News Detection on Twitter Based on Author Credibility Using Information Gain and KNN Methods." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, no. 1 (2023): 185–92. http://dx.doi.org/10.29207/resti.v7i1.4871.

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Twitter is one of the social media that is used as a tool to share various kinds of information about various kinds of things that are of concern to social media users. One of the information shared is information about COVID-19, which is known that the COVID-19 pandemic is currently spreading throughout the world at a very alarming rate. COVID-19 is an infectious disease caused by SARS-COV-2. The World Health Organization (WHO) claims that the spread of COVID-19 is supported by the spread of false/fake news. So to find out the truth of the news, a COVID-19 fake news detector is needed so that

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Liu, Yujia, and Jihui Li. "An Online Hotel Selection Method With Three-Dimensional Analysis of Reviews' Helpfulness." International Journal of Fuzzy System Applications 13, no. 1 (2024): 1–25. http://dx.doi.org/10.4018/ijfsa.343490.

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The multi-attribute decision-making method based on online reviews has been widely used in addressing the hotel selection problem. However, due to information overload and the presence of fake reviews, traditional hotel selection methods that rely solely on unverified review analysis can affect the outcome of hotel selections. In this study, a novel three-dimensional helpful review analysis model based multi-attribute decision-making approach for hotel selection is established. Firstly, a new three-dimensional helpful review analysis model that effectively filters out sentiment inconsistency r

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García-Aguilera, Amparo. "Desinformación en la UE: las políticas de Irlanda y Polonia." Question/Cuestión 3, no. 75 (2023): e805. http://dx.doi.org/10.24215/16696581e805.

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La lucha contra la desinformación es una línea de actuación relevante dentro de las políticas públicas desplegadas desde la Unión Europea. En esta investigación, se pretende determinar si existe relación entre las políticas de comunicación que los países de la UE aplican en materia de desinformación y la habilidad de su población para identificar fake news. Para ello, se toma como referencia el último Media and News del Eurobarómetro (2022) y se diseccionan las políticas implementadas por los países que ocupan la primera y la última posición en el ranking de autopercepción ciudadana sobre capa

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Vincent, Lam Hing-Po. "An Evaluation of Fulfillment of Press Freedom as the Intrinsic Values of Psychological Contract of Macau Journalists After the Passing of Civil Protection Law under the Background of Economic Success With Once Over 75% Government Approval Rate." Journal of Social and Political Sciences 3, no. 1 (2020): 23–31. https://doi.org/10.31014/aior.1991.03.01.143.

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The research is conducted with background that Macau government has had positive satisfaction rate from 1999 to 2018. According to Macau annual survey by HKU’s public polling survey released in December 2018, Macau government received with highest satisfaction rate of 75.8% in 2014 and 62.6% of Macau residents evaluate the policy of the Central Government on Macau after the Handover to be very good and quite good. 62% of Macau residents rated trust in the Beijing Government in 2018 with highest rate at 79.9% during the research period. The Macau’s GDP per capital recorded USD of US

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Maimaiti, Mieradilijiang, Yang Liu, Huanbo Luan, Zegao Pan, and Maosong Sun. "Improving Data Augmentation for Low-Resource NMT Guided by POS-Tagging and Paraphrase Embedding." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–21. http://dx.doi.org/10.1145/3464427.

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Data augmentation is an approach for several text generation tasks. Generally, in the machine translation paradigm, mainly in low-resource language scenarios, many data augmentation methods have been proposed. The most used approaches for generating pseudo data mainly lay in word omission, random sampling, or replacing some words in the text. However, previous methods barely guarantee the quality of augmented data. In this work, we try to build the data by using paraphrase embedding and POS-Tagging. Namely, we generate the fake monolingual corpus by replacing the main four POS-Tagging labels,

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Greene González, María Francisca, María Fernanda Cerda Diez, and Germán Ortiz Leiva. "Prácticas periodísticas en tiempos de pandemia de coronavirus. Un estudio comparado entre Chile y Colombia." Revista de Comunicación 21, no. 1 (2022): 195–213. http://dx.doi.org/10.26441/rc21.1-2022-a10.

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El objetivo de esta investigación fue estudiar las transformaciones en el modo de trabajo y en las rutinas periodísticas de los periodistas de los principales medios de prensa digitales en Chile y Colombia. Se investigó cómo las rutinas periodísticas se modificaron forzosamente debido a las restricciones impuestas por la pandemia de Covid-19 y qué desafíos laborales propios de la profesión debieron enfrentar los periodistas de esos medios. Se eligieron los seis portales de noticias más leídos en cada país según el ranking de Alexa.com. Se realizaron doce entrevistas semiestructuradas a editore

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Zheng, Xiaolin, and Disheng Dong. "An Adversarial Deep Hybrid Model for Text-Aware Recommendation with Convolutional Neural Networks." Applied Sciences 10, no. 1 (2019): 156. http://dx.doi.org/10.3390/app10010156.

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The standard matrix factorization methods for recommender systems suffer from data sparsity and cold-start problems. Thus, in real-world scenarios where items are commonly associated with textual data such as reviews, it becomes necessary to build a hybrid recommendation model that can fully utilize the text features. However, existing methods in this area either cannot extract good features from the texts due to their order–insensitive document modeling approaches or fail to learn the hybrid model in an effective way due to their complexity of inferring the latent vectors. To this end, we pro

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Lienkov, S. V., V. M. Dzhuliy, and L. V. Solodeeva. "METHOD OF COUNTERACTION AND DETECTION OF HARMFUL INFORMATION IN SOCIAL NETWORKS." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 77 (2022): 103–16. http://dx.doi.org/10.17721/2519-481x/2022/77-09.

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The paper studies the task of detecting and counteracting the spread of malicious information in social networks, including "fake news". There is a particularly urgent need to counter the spread of news on social media that generates panic waves during a pandemic. Currently, there is a war in Ukraine. Fake news travels six times faster on social media than the truth. Russian propaganda has become one of the main elements of the war in Ukraine, it is qualitatively camouflaged under the guise of Western media materials - DW, CNN or BBC. The main difficulty in detecting and counteracting the spre

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Islam, Umar, Rami Qays Malik, Amnah S. Al-Johani, et al. "A Novel Anomaly Detection System on the Internet of Railways Using Extended Neural Networks." Electronics 11, no. 18 (2022): 2813. http://dx.doi.org/10.3390/electronics11182813.

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The Internet of Railways (IoR) network is made up of a variety of sensors, actuators, network layers, and communication systems that work together to build a railway system. The IoR’s success depends on effective communication. A network of railways uses a variety of protocols to share and transmit information amongst each other. Because of the widespread usage of wireless technology on trains, the entire system is susceptible to hacks. These hacks could lead to harmful behavior on the Internet of Railways if they spread sensitive data to an infected network or a fake user. For the previous fe

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Khan, Hira, Khairul Anuar Mohammad Shah, Jamshed Khalid, Majed Ageel A. Harnmal, and Anees Janee Ali. "Globalization and University Rankings: Consequences and Prospects." International Journal of Higher Education 9, no. 6 (2020): 190. http://dx.doi.org/10.5430/ijhe.v9n6p190.

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This study focuses on the effect of globalization on university ranking and current developments and challenges that HEIs face in the global higher education market. It provides detailed information about the origins of international ranking systems, diversification of university rankings and strategic planning of higher education institutes. Moreover, this study describes the global university classification, continuous exposure to elite universities, neglect of the humanities, arts and the social sciences researches, limited description of methods and indigent metrics. The expected effects o

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Rochan,, Patnam. "Identifying Fraudulent Apps on Google Play Store: A Decision Tree and LSTM Approach." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42145.

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The increasing prevalence of fraudulent applications on app stores, such as the Google Play Store, poses severe challenges to user privacy, financial security, and the reputation of legitimate developers. These fraudulent apps often exploit vulnerabilities by mimicking genuine applications, employing deceptive practices such as fake reviews, excessive permissions, and sudden rating spikes to appear trustworthy. Traditional static detection methods struggle to adapt to these evolving fraud strategies.This research introduces a novel hybrid approach that combines Decision Trees for feature impor

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Jeong, Sihyun, and Kyu-haeng Lee. "Spam Classification Based on Signed Network Analysis." Applied Sciences 10, no. 24 (2020): 8952. http://dx.doi.org/10.3390/app10248952.

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Online social networking services have become the most important information-sharing medium of modern society due to several merits, such as creating opportunities to broaden social relations, easy and instant communication, and fast data propagation. These advantages, however, are being abused by malicious users to disseminate unsolicited spam messages, causing great harm to both users and service providers. To address this problem, numerous spam detection methods utilizing various spam characteristics have been proposed, but most of them suffer from several limitations. Using individual beha

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Limin, Wei. "Diagnosis of creative self-realization of undergraduates in musical art." Scientific Visnyk V.O. Sukhomlynskyi Mykolaiv National University. Pedagogical Sciences 66, no. 3 (2019): 150–55. http://dx.doi.org/10.33310/2518-7813-2019-66-3-150-155.

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The article presents a methodology for diagnosing experimentally identifying a vivid vividness of the formations of creative self-realization of the magistrates of the musical mystery in the process of the choir-choir movement. Today’s master student of musical mystery in Prague has expanded the horizons of musically-vikonavsky, musically-creative talents, be aware of alternative musical and pedagogical activities, deny your own selfrealization, and learn more about the Criteria have been introduced to the testimonials of the pre-approved approval. The following methods were implemented: metho

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Vidnianskyi, Stepan. "‘This Is Not Our War’: The Position of Hungary on russia’s War against Ukraine and Its Impact on Regional Security." Diplomatic Ukraine, no. XXV (2024): 717–30. https://doi.org/10.37837/2707-7683-2024-28.

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Abstract. This article examines various stages of Ukrainian-Hungarian relations. Until the 2010s, these relations exemplified European policies of good neighbourliness, reconciliation, and solidarity. Hungary actively developed contacts with Ukraine even before the collapse of the USSR and was one of the first countries to recognise Ukraine’s sovereignty and establish diplomatic relations after its independence. However, relations deteriorated in the early 2010s due to issues concerning the rights of the Hungarian national minority in Zakarpattia, leading to diplomatic tensions. The most signi

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Sharipov, Ruslan. "INTERACTION BETWEEN THE MEDIA AND THE POLITICAL SYSTEM IN THE CONTEXT OF DEVELOPING PUBLIC OPINION." Politology bulletin, no. 93 (2024): 184–96. https://doi.org/10.17721/2415-881x.2024.93.184-196.

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The article focuses on the study of the relationship between the media and public opinion and the impact on decision-making in the political process. The study shows that public opinion is a kind of indicator of socio-political changes, which directly affects the editorial strategies of the media and determines the priorities for covering events and topics in the public space. The media, in turn, is an active factor in shaping public opinion, strengthening its influence on political decisions and stimulating the development of political consciousness of citizens. The author notes that one of t

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Feng, Jiangpeng, Tianmo Xu, Miao He, et al. "NSUN2-mediated m5C modification of HBV RNA positively regulates HBV replication." PLOS Pathogens 19, no. 12 (2023): e1011808. http://dx.doi.org/10.1371/journal.ppat.1011808.

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Chronic hepatitis B virus (HBV) infection is a major cause of liver cirrhosis and liver cancer, despite strong prevention and treatment efforts. The study of the epigenetic modification of HBV has become a research hotspot, including the N6-methyladenosine (m6A) modification of HBV RNA, which plays complex roles in the HBV life cycle. In addition to m6A modification, 5-methylcytosine (m5C) is another major modification of eukaryotic mRNA. In this study, we explored the roles of m5C methyltransferase and demethyltransferase in the HBV life cycle. The results showed that m5C methyltransferase NS

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Dugerdil, Adeline, Lara Sponagel, Awa Babington-Ashaye, and Antoine Flahault. "International University Ranking Systems and Their Relevance for the Medical and Health Sciences - A Scoping Review." International Journal of Higher Education 11, no. 5 (2022): 102. http://dx.doi.org/10.5430/ijhe.v11n5p102.

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Medical and health sciences are disciplines of paramount importance in academia. Universities face a crucial challenge in training qualified health experts for teaching and research in these disciplines. With the globalization of the higher education system, international university ranking systems are an increasingly used tool to assess the excellence of universities and help students and researchers to choose an institution. We conduct a scoping review using Web of Science and Google Scholar to search for scientific literature written in English, published between January 2019 and March 2022

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Obura, Collins Ochieng, Noor Ismail Shale, and Clive Mukanzi Mukanzi. "Tender Evaluation Process and Operational Performance of Service State Corporations in Kenya." International Journal of Supply Chain and Logistics 7, no. 1 (2023): 1–22. http://dx.doi.org/10.47941/ijscl.1167.

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Purpose: Service State corporations are incorporated entities outside the mainstream civil service established for purposes of public service delivery. Performance of the state agencies is constantly under public scrutiny, in part because much of the funding and equity in them flows directly from the tax base of the Country. However, public procurement process has not matched the expectation of stakeholders in terms of achieving value for money and budget execution. This study therefore, sought to determine the influence of tender evaluation process on operational performance of service state

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Amankwah-Nkyi, Kwadwo, Sarah Hernandez, and Suman Kumar Mitra. "Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP)." Sustainability 17, no. 11 (2025): 5212. https://doi.org/10.3390/su17115212.

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Transportation agencies face increasing challenges in identifying and prioritizing which infrastructure assets are most critical to maintain and protect, particularly amid aging networks, limited budgets, and growing threats from climate change and extreme events. However, existing prioritization approaches often lack consistency and fail to adequately incorporate diverse stakeholder perspectives. This study develops a systematic, stakeholder-informed method for ranking transportation assets based on their criticality to the overall transportation system. As a novel approach, we use the analyt

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BAYRAM, Erdi, Ümit Hasan GÖZKONAN, Selim Baha YILDIZ, and Abdelbari EL KHAMLİCHİ. "A HYBRID APPROACH TO FINANCIAL SOLVENCY: A COMPARISON OF CONVENTIONAL AND ISLAMIC BANKING IN TURKEY." Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 14, no. 28 (2023): 603–23. http://dx.doi.org/10.36543/kauiibfd.2023.025.

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In this study, the financial soundness indicators of both conventional banks (referred to as deposit banks) and Islamic banks (referred to as participation banks) operating in Turkey are analyzed using different methods. The research utilizes financial ratios from the years 2017 to 2022, with the chosen financial ratios aligned with the Bankometer method. Ranking methods such as ARAS, CoCoSo, COPRAS, MABAC and TOPSIS are applied, and the ranking results are combined with the Borda Count method. The findings reveal a robust and healthy level of financial soundness among the analyzed banks, nota

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Kenzhegulova, G. K., N. A. Ainakul, K. O. Nurgaliyeva, and A. T. Beknazarova. "Assessing economic landscapes: city rankings (2010–2022)." Bulletin of "Turan" University, no. 2 (July 2, 2024): 328–45. http://dx.doi.org/10.46914/1562-2959-2024-1-2-328-345.

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Urban assessment is crucial for understanding the dynamics of city development, identifying areas for improvement, and formulating targeted policies to enhance the quality of life for residents. This study focuses on evaluating Kazakhstan’s megacities across nine indicators grouped into financial and economic condition, business development, and living standards. Using comparative analysis and ranking methods, the study assesses budgetary allocations, population dynamics, industrial growth, and the impact of strategic investments on urban development. Drawing on current economic and demographi

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Tománek, David. "Fame on Sale: Pitfalls of the Ranking Game." Materials Express 1, no. 4 (2011): 355–56. http://dx.doi.org/10.1166/mex.2011.1038.

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Ferreira, Kris J., Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (2022): 1828–48. http://dx.doi.org/10.1287/mnsc.2021.4130.

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We consider the product-ranking challenge that online retailers face when their customers typically behave as “window shoppers.” They form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue browsing. We design online learning algorithms for product ranking that maximize the number of customers who engage with the site. Customers’ product preferences and attention spans are correlated and unknown to the retailer; furthermore, the retailer cannot exploit similarities across products, owing to the fact that the products are

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Kulchaitanaroaj, Puttarin, Zoltán Kaló, Robert West, et al. "Understanding perceived availability and importance of tobacco control interventions to inform European adoption of a UK economic model: a cross-sectional study." BMC Health Services Research 18, no. 1 (2018): 115. https://doi.org/10.1186/s12913-018-2923-2.

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<strong>Background: </strong>The evidence on the extent to which stakeholders in different European countries agree with availability and importance of tobacco-control interventions is limited. This study assessed and compared stakeholders' views from five European countries and compared the perceived ranking of interventions with evidence-based ranking using cost-effectiveness data.<strong>Methods: </strong>An interview survey (face-to-face, by phone or Skype) was conducted between April and July 2014 with five categories of stakeholders - decision makers, service purchasers, service provider

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Hendrastuty, Nirwana, Setiawansyah Setiawansyah, M. Ghufroni An’ars, Fitrah Amalia Rahmadianti, Very Hendra Saputra, and Miftahur Rahman. "G2M weighting: a new approach based on multi-objective assessment data (case study of MOORA method in determining supplier performance evaluation)." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 1 (2025): 403. https://doi.org/10.11591/ijeecs.v38.i1.pp403-416.

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Criteria weighting methods in decision support system (DSS) face various challenges and limitations that can affect their accuracy and reliability. One of the main challenges is subjectivity, this subjective assessment can reduce the objectivity and consistency of results. The main objective of the new weighting method grey geometric mean (G2M) weighting is to provide more objective and robust criteria weights under conditions of uncertainty and incomplete data. The new G2M weighting approach has a significant potential impact on the DSS field, it has the potential to generate more effective a

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Nirwana, Hendrastuty Setiawansyah Setiawansyah M. Ghufroni An'ars Fitrah Amalia Rahmadianti Very Hendra Saputra Miftahur Rahman. "G2M weighting: a new approach based on multi-objective assessment data (case study of MOORA method in determining supplier performance evaluation)." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 1 (2025): 403–16. https://doi.org/10.11591/ijeecs.v38.i1.pp403-416.

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Criteria weighting methods in decision support system (DSS) face various challenges and limitations that can affect their accuracy and reliability. One of the main challenges is subjectivity, this subjective assessment can reduce the objectivity and consistency of results. The main objective of the new weighting method grey geometric mean (G2M) weighting is to provide more objective and robust criteria weights under conditions of uncertainty and incomplete data. The new G2M weighting approach has a significant potential impact on the DSS field, it has the potential to generate more effective a

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