Pervasive Knowledge and Collective Intelligence on Web and Social Media: First EAI International Conference, PerSOM 2022 Messina, Italy, November 17–18, 2022 Proceedings

Preface
Organization
Contents
Data Science
Assembling Fragments of Ancient Papyrus via Artificial Intelligence
	1 Introduction
	2 Applications for Assembling Fragments
	3 Conclusion
	References
Social Media Analysis and Mining
Misinformation and Disinformation on Social Media: An Updated Survey of Challenges and Current Trends
	1 Introduction
	2 A Socio-technological Problem
		2.1 About Readers
		2.2 About Information
	3 Challenges
		3.1 Fact-Checking
		3.2 Degrees of Truthfulness, Falsehood, and Subjectivity
		3.3 Datasets Building
	4 Current Research Trends
		4.1 Claim-Related Tasks Solutions
		4.2 Multi-Modal Misinformation Detection
	5 Conclusion
	References
Topic Detection and Tracking in Social Media Platforms
	1 Introduction
	2 Related Work
		2.1 Main Tasks of a TDT Process
		2.2 Main Approaches to the Realization of TDT Systems
	3 A Topic Modeling Based Approach: Topic Chain
		3.1 Topic Discovery
		3.2 Choice of the Topic Similarity Measure
		3.3 Topic Chains Construction
		3.4 Chains Analysis and Interpretation
	4 Proposed Methodology
		4.1 Main Limitations of the Original Approach
		4.2 Proposed Solution: Length-Weighted Topic Chain
	5 Case Studies
		5.1 The 2016 US Presidential Election
		5.2 Coronavirus Pandemic (Covid19)
	6 Conclusions and Final Remarks
	References
Fake News on Social Media: Current Research and Future Directions
	1 Introduction
	2 Literature Review
	3 Discussion
		3.1 Major Challenges in Multimodal Fake News Detection
		3.2 Conclusion
	References
Incivility Balanced? Civil vs. Uncivil Speech in Online Political Discussions as Dependent on Political Parallelism
	1 Introduction
	2 Theoretical Background
		2.1 Civility and Incivility as Concepts. The Approach to Analyzing Them in Online Speech
		2.2 (In)civility vs. Political Parallelism: Studies of Content Divergence in Political Commenting Online
	3 Research Questions and Hypotheses
	4 Methodology and Sampling
		4.1 Empirical Data
		4.2 Research Methods
	5 Results
		5.1 The Pension System Reform Case (2018)
		5.2 The Navalny’s Court Sentence Case (2021)
		5.3 Responding to the Hypotheses
	6 Discussion and Conclusion
	References
Data and Network Security
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons
	1 Introduction
	2 Related Works
	3 Attack Model and Federated Approach
	4 Framework
		4.1 Solution Approach
		4.2 Neural Architecture
		4.3 Ensembling via Soup Model
	5 Experimental Results
	6 Conclusions and Future Works
	References
Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications
	1 Introduction
	2 Literature Review
	3 The Proposed Method
		3.1 Description of Churn Dataset
		3.2 Data Analysis
		3.3 Machine Learning Methods
		3.4 Evaluation Measure
	4 Experiments and Results
	5 Conclusion
	References
Emerging Applications
A Comparative Study of the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization
	1 Introduction
	2 CFA Optimizer
		2.1 Coulomb’s and Franklin’s Laws
		2.2 Maintaining Assumptions Based on Coulomb’s Law (Attraction and Repulsion) for Optimization
		2.3 CFA Optimizer: The Proposed Algorithm
	3 Experimental Studies
		3.1 Experiment 1: A Competitive Study for Showing CFA Performance
		3.2 Experiment 2: Test on the Effect Pi in the CFA Performance
		3.3 Experiment 3: Test on the Effect Pc in the CFA Performance
	4 Conclusion
	References
A Review of Space Exploration and Trajectory Optimization Techniques for Autonomous Systems: Comprehensive Analysis and Future Directions
	1 Introduction
		1.1 Objective and Contents
	2 Relevant Studies
		2.1 Deterministic Techniques Framework
		2.2 Swarm-Based Framework
		2.3 Hybrid Techniques Framework
	3 Challenges, Recommendation and Future Directions
		3.1 Challenges
		3.2 Proposed Solutions
		3.3 Potential Future Directions
	4 Conclusions
	References
Author Index