The proceedings contain 33 papers. The special focus in this conference is on Computational Data and Social Networks. The topics include: Comparing Community-Aware Centrality Measures in Online Social Networks; two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite–Terrestrial Networks; Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations; the Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis; Fake News Detection Using LDA Topic Modelling and K-Nearest Neighbor Classifier; streaming Algorithms for Budgeted k-Submodular Maximization Problem; summarization Algorithms for News: A Study of the Coronavirus Theme and Its Impact on the News Extracting Algorithm; Social Cohesion During the Stay-at-Home Phase of the First Wave of the COVID-19 Pandemic on Polish-Speaking Twitter; target Set Selection in Social Networks with Influence and Activation Thresholds; machine Learning Technique for Fake News Detection Using Text-Based Word Vector Representation; approximation Algorithms for the Lower Bounded Correlation Clustering Problem; approximation Algorithm for Maximizing Nonnegative Weakly Monotonic Set Functions; differentially Private Submodular Maximization over Integer Lattice; Maximizing the Sum of a Supermodular Function and a Monotone DR-submodular Function Subject to a Knapsack Constraint on the Integer Lattice; a Framework for Accelerating Graph Convolutional Networks on Massive Datasets; advEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning; preface; streaming Algorithms for Maximizing Non-submodular Functions on the Integer Lattice; incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer; deep Bangla Authorship Attribution Using Transformer Models; a Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems.