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Mental disorder and suicidal ideation detection from social media using deep neural networks
Depression and suicidal ideation are global reasons for life-threatening injury and death. Mental disorders have increased especially among young...
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Skill, status and the Matthew effect: a theoretical framework
To gain a deeper understanding of the Matthew effect in academic recognition among researchers, three social influence models of status hierarchies...
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On how breaking traffic rules affects vehicle flow
Traffic flow simulations typically assume that all drivers follow traffic rules, except for minor deviations. However, in many countries, drivers...
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Estimating the command hierarchy of a drug trafficking group based on criminals’ telecommunication network
It remains a puzzle whether status hierarchies, commonly found in legitimate economic organizations, also exist within organized crime groups....
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The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub
Open model developers have emerged as key actors in the political economy of artificial intelligence (AI), but we still have a limited understanding...
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Forecasting executive approval with social media data: opportunities, challenges and limitations
In recent years, several studies have explored the potential of social media data in forecasting electoral outcomes and public opinion trends, with...
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A machine learning approach to detect collusion in public procurement with limited information
Public procurement spending reaches $9.5 trillion annually, yet bid-rigging remains a significant, undetected issue. Existing methods require...
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Mentions of prejudice in news media – an international comparison
Previous research has identified a post-2010 sharp increase of terms used to denounce prejudice (i.e. racism , sexism , homophobia , Islamophobia , anti-Semitism...
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Impact of technostress and work-family conflict on turnover intention among nurses in Bangladesh: a moderation effect of perceived supervisor support
The objective of this study was to analyse the impact of Technostress (TS) and Work-family Conflict (WFC) on Turnover Intention (TI) with respect to...
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Empowering users in minimizing air pollution exposure during travel: a scalable algorithmic solution
This paper introduces a unique approach for health-optimal route planning in urban environments, integrating real-time Air Quality Index (AQI) and...
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Fast meta-analytic approximations for relational event models: applications to data streams and multilevel data
Large relational-event history data stemming from large networks are becoming increasingly available due to recent technological developments (e.g....
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A model-based boosting approach to risk factors for physical intimate partner violence against women and girls in Mexico
The goal of this study was to identify and describe the extent to which a comprehensive set of risk factors from the ecological model are associated...
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Patterns of stability in complex contagions
Contagions refer to the spread or transmission of diseases, behaviors, beliefs, or emotions. While some contagions easily propagate throughout entire...
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Is meritocracy just? New evidence from Boolean analysis and Machine learning
This research explores the paradoxes of meritocracy using two distinct investigations. The first, employing Boolean analysis, uncovers an irony in...
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The ripple effect of retraction on an author’s collaboration network
Scientists involved in scientific misconduct may face social stigmatization, leading to isolation and limited opportunities for collaboration. The...
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Advancing language models through domain knowledge integration: a comprehensive approach to training, evaluation, and optimization of social scientific neural word embeddings
This article proposes a comprehensive strategy for training, evaluating, and optimizing domain-specific word2vec-based word embeddings, using social...
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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...
