Search Results - "Information processing & management"

An overview of online fake news: Characterization, detection, and discussion by Zhang, Xichen, Ghorbani, Ali A.

“…Over the recent years, the growth of online social media has greatly facilitated the way people communicate with each other. Users of online social media share…”
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From information seeking to information avoidance: Understanding the health information behavior during a global health crisis by Soroya, Saira Hanif, Farooq, Ali, Mahmood, Khalid, Isoaho, Jouni, Zara, Shan-e

“…•The study examines the factors leading to information avoidance during COVID-19 pandemic.•Mass Media, Print Media and official websites are used for…”
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A Survey on Blockchain for Information Systems Management and Security by Berdik, David, Otoum, Safa, Schmidt, Nikolas, Porter, Dylan, Jararweh, Yaser

“…•We have investigated the literature and generated a survey regarding the use of blockchain as a tool for application within information systems.•An extensive…”
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Blockchain-based authentication and authorization for smart city applications by Esposito, Christian, Ficco, Massimo, Gupta, Brij Bhooshan

“…The platforms supporting the smart city applications are rarely implemented from scratch by a municipality and/or totally owned by a single company, but are…”
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A Deep Look into neural ranking models for information retrieval by Guo, Jiafeng, Fan, Yixing, Pang, Liang, Yang, Liu, Ai, Qingyao, Zamani, Hamed, Wu, Chen, Croft, W. Bruce, Cheng, Xueqi

“…•We introduce some typical IR tasks addressed by neural ranking models and discuss major characteristics and challenges.•We introduce a unified formulation…”
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Stance detection on social media: State of the art and trends by ALDayel, Abeer, Magdy, Walid

“…Stance detection on social media is an emerging opinion mining paradigm for various social and political applications in which sentiment analysis may be…”
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Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection by An, Peng, Wang, Zhiyuan, Zhang, Chunjiong

“…Previous studies have adopted unsupervised machine learning with dimension reduction functions for cyberattack detection, which are limited to performing…”
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Federated learning review: Fundamentals, enabling technologies, and future applications by Banabilah, Syreen, Aloqaily, Moayad, Alsayed, Eitaa, Malik, Nida, Jararweh, Yaser

“…Federated Learning (FL) has been foundational in improving the performance of a wide range of applications since it was first introduced by Google. Some of the…”
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Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong by Li, Xiaodong, Wu, Pangjing, Wang, Wenpeng

“…•Based on both technical indicators and news sentiments, the LSTM models outperform the MKL and the SVM in both prediction accuracy and F1 score.•The LSTM…”
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Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network by Zhang, Yu-Dong, Satapathy, Suresh Chandra, Guttery, David S., Górriz, Juan Manuel, Wang, Shui-Hua

“…In a pilot study to improve detection of malignant lesions in breast mammograms, we aimed to develop a new method called BDR-CNN-GCN, combining two advanced…”
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Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload by Fu, Shaoxiong, Li, Hongxiu, Liu, Yong, Pirkkalainen, Henri, Salo, Markus

“…•System feature overload, information overload and social overload lead to individuals’ social media fatigue.•Social media fatigue leads to individuals’…”
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Query expansion techniques for information retrieval: A survey by Azad, Hiteshwar Kumar, Deepak, Akshay

“…With the ever increasing size of the web, relevant information extraction on the Internet with a query formed by a few keywords has become a big challenge…”
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Transaction-based classification and detection approach for Ethereum smart contract by Hu, Teng, Liu, Xiaolei, Chen, Ting, Zhang, Xiaosong, Huang, Xiaoming, Niu, Weina, Lu, Jiazhong, Zhou, Kun, Liu, Yuan

“…Blockchain technology brings innovation to various industries. Ethereum is currently the second blockchain platform by market capitalization, it’s also the…”
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The effect of the perceived risk on the adoption of the sharing economy in the tourism industry: The case of Airbnb by Yi, Jisu, Yuan, Gao, Yoo, Changsok

“…•The extended model of goal-directed behavior effectively describes the adoption decision process of potential Airbnb customers.•The financial risk and privacy…”
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Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms by Cheng, Xusen, Zhang, Xiaoping, Cohen, Jason, Mou, Jian

“…•A mix-methods approach is conducted to examine anthropomorphic attributes.•Perceived warmth and perceived competence increase consumers’ perceived…”
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What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model by Song, Shijie, Yao, Xinlin, Wen, Nainan

“…•A research model based on S-O-R framework is proposed to examine the factors that influence health information avoidance intention during the COVID-19…”
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Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data by Behera, Ranjan Kumar, Jena, Monalisa, Rath, Santanu Kumar, Misra, Sanjay

“…•Co-LSTM is a classifier for sentiment analysis of social media reviews.•Co-LSTM leverages the best features of both convolutional neural network and Long…”
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hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design by Miyachi, Ken, Mackey, Tim K.

“…•We assess the use of on-chain and off-chain storage and computation for blockchain.•Our proposed blockchain framework maps to different forms of healthcare…”
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A survey towards an integration of big data analytics to big insights for value-creation by Saggi, Mandeep Kaur, Jain, Sushma

“…Big Data Analytics (BDA) is increasingly becoming a trending practice that generates an enormous amount of data and provides a new opportunity that is helpful…”
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A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification by Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“…Sentiment analysis is a critical task of extracting subjective information from online text documents. Ensemble learning can be employed to obtain more robust…”
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