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Comparing nine machine learning classifiers for school-dropouts using a revised performance measure
Addressing the pervasive issue of school-dropout in Egypt is imperative for advancing the country's educational system and fostering its social and...
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A big data analysis of the adoption of quoting encouragement policy on Twitter during the 2020 U.S. presidential election
This research holds significance for the fields of social media and communication studies through its comprehensive evaluation of Twitter’s quoting...
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Aligning agent-based testing (ABT) with the experimental research paradigm: a literature review and best practices
The study of algorithmically curated media environments through emulated browsing has become a key method of computational social science. Here, we...
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Understanding the social construction of juvenile delinquency: insights from semantic analysis of big-data historical newspaper collections
Massive historical newspaper collections contain rich information about the historical development of social issues and constitute a unique resource...
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The coordination network toolkit: a framework for detecting and analysing coordinated behaviour on social media
This paper introduces and evaluates the Coordination Network Toolkit, an open-source software package and methodological framework designed to detect...
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Propositional claim detection: a task and dataset for the classification of claims to truth
This paper introduces Propositional Claim Detection (PCD), an NLP task for classifying claims to truth, and presents a publicly available dataset for...
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Morality and partisan social media engagement: a natural language examination of moral political messaging and engagement during the 2018 US midterm elections
Despite numerous studies examining the impact of moral vs. nonmoral political content on social media engagement, the specifics of how distinct moral...
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Applications of Bayesian networks in assessing the effects of family resilience on caregiver behavioral problems, depressive symptoms, and burdens
Family caregiving often leads to increased stress and anxiety due to intensive support in daily living and medical tasks. Traditionally, determining...
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Exploring determinants of school dropout across regions in India: a comprehensive meta-analysis
School dropout entangled around various human life factors, highly impacts individual development and societal well-being. Understanding the factors...
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Influence of emotions on co** behaviors in crisis: a computational analysis of the COVID-19 outbreak
Widespread public crises often give rise to the proliferation of sensationalized rumors and conspiracy theories, which can evoke a variety of public...
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A comprehensive review on insider trading detection using artificial intelligence
This paper provides a comprehensive review that delves into the domain of insider trading detection, focusing on the integration of artificial...
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Map** the landscape of blockchain technology: a bibliometric analysis
Blockchain technology has experienced a meteoric rise in popularity, revolutionising industries and igniting intense research efforts around the...
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Hostility on Twitter in the aftermath of terror attacks
This study investigates the relationship between major Jihadist terror attacks and manifestations of ethno-religious hostility on social media....
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How are traffic fines affected by the driver’s car price and the police officer’s discretion? A case study of Isfahan, Iran
Traffic violations can cause congestion and road safety risks. The two objectives of this study are (a) to study the influence of car price and (b)...
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Detection and context reconstruction of sub-events that influence the course of a news event from microblog discussions
Social media has become an inevitable part of human communication and the primary source for reading and tracking news events. Most news events...
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Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates
Many social and ecological problems require us to consider objectively verifiable phenomena as well as subjective states of knowledge and associated...
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International mobility between the UK and Europe around Brexit: a data-driven study
Among the multiple effects of Brexit, changes in migration and mobility across Europe were expected. Several studies have analysed these aspects,...
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Classical-quantum hybrid transfer learning for adverse drug reaction detection from social media posts
Adverse Drug Reactions (ADRs) is a threat to human beings, sometimes it causes death. Thus, the detection of ADRs is crucial. This paper introduces a...
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Communicating Europe: a computational analysis of the evolution of the European Commission’s communication on Twitter
Social media is an important means of communication for political agencies, which makes it possible to engage with large sectors of the public. For...
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Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer)
The social sciences have produced an impressive body of research on determinants of fertility outcomes, or whether and when people have children....
