Editorial Board
Pattern and content controlled response generation
Investigating and counteracting popularity bias in group recommendations
Combining deep neural network and bibliometric indicator for emerging research topic prediction
In Codice Ratio: A crowd-enabled solution for low resource machine transcription of the Vatican Registers
Detecting fake news by exploring the consistency of multimodal data
User-Defined SWOT analysis – A change mining perspective on user-generated content
Neural variational sparse topic model for sparse explainable text representation
Technical due diligence as a methodology for assessing risks in start-up ecosystems: An advanced approach
A taxonomy for Blockchain based distributed storage technologies
Heterogeneous type-specific entity representation learning for recommendations in e-commerce network
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection
Coping tactics of blind and visually impaired users: Responding to help-seeking situations in the digital library environment
Globally normalized neural model for joint entity and event extraction
Recognition and determination of fuzzy logical relationship in the system fault evolution process
Improving classifier training efficiency for automatic cyberbullying detection with Feature Density
Improving On-line Scientific Resource Profiling by Exploiting Resource Citation Information in the Literature
On the effects of aggregation strategies for different groups of users in venue recommendation
The power of social learning: How do observational and word-of-mouth learning influence online consumer decision processes?
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model
Join or not: The impact of physicians’ group joining behavior on their online demand and reputation in online health communities
Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition
How the type and valence of feedback information influence volunteers’ knowledge contribution in citizen science projects
Enhanced Deep Discrete Hashing with semantic-visual similarity for image retrieval
Can you fool AI by doing a 180? — A case study on authorship analysis of texts by Arata Osada
Machine learning fairness notions: Bridging the gap with real-world applications
Convolutional neural encoding of online reviews for the identification of travel group type topics on TripAdvisor
Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
When classification accuracy is not enough: Explaining news credibility assessment
Understanding the dark side of gamification health management: A stress perspective
A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach
Fairness metrics and bias mitigation strategies for rating predictions
Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
Investigating the impact of recommender systems on user-based and item-based popularity bias
A creative approach to understanding the hidden information within the business data using Deep Learning
Characterizing scientists leaving science before their time: Evidence from mathematics
Enhancing the efficiency and scalability of blockchain through probabilistic verification and clustering
Comparison of MeSH terms and KeyWords Plus terms for more accurate classification in medical research fields. A case study in cannabis research
Do you see what I see? Images of the COVID-19 pandemic through the lens of Google
FairLens: Auditing black-box clinical decision support systems
HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification
AOMD: An analogy-aware approach to offensive meme detection on social media
Fair multi-stakeholder news recommender system with hypergraph ranking
Analyzing the impact of social networks and social behavior on electronic business during COVID-19 pandemic
Explaining recommender systems fairness and accuracy through the lens of data characteristics
Genetic algorithm based rumor mitigation in online social networks through counter-rumors: A multi-objective optimization
A temporally dynamic examination of research method usage in the Chinese library and information science community
Investigating gender fairness of recommendation algorithms in the music domain
Persuasion strategies of misinformation-containing posts in the social media
Contextualized query expansion via unsupervised chunk selection for text retrieval
A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction
Fuzzy inference based Hegselmann–Krause opinion dynamics for group decision-making under ambiguity
Natural language processing in law: Prediction of outcomes in the higher courts of Turkey
Adversarial network integrating dual attention and sparse representation for semi-supervised semantic segmentation
Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning
Privacy preserving in blockchain-based government data sharing: A Service-On-Chain (SOC) approach
Multiphase fault tolerance genetic algorithm for vm and task scheduling in datacenter
