Journal of Computational Social Science
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Incorporating machine learning in dispute resolution and settlement process for financial fraud
Journal of Computational Social Science - Tập 6 - Trang 515-539 - 2023
This paper aims to classify disciplinary hearings into two types (settlement and contested). The objective is to employ binary machine learning classifier algorithms to predict the hearing outcomes given a set of features representing the victims, offenders, and enforcement. Data for this project came from the Investment Industry Regulatory Industry of Canada’s (IIROC) tribunal hearing. The data c......
Integrating semantic directions with concept mover’s distance to measure binary concept engagement
Journal of Computational Social Science - Tập 4 - Trang 231-242 - 2020
In an earlier article published in this journal (“Concept Mover’s Distance”, 2019), we proposed a method for measuring concept engagement in texts that uses word embeddings to find the minimum cost necessary for words in an observed document to “travel” to words in a “pseudo-document” consisting only of words denoting a concept of interest. One potential limitation we noted is that, because words ......
Flexible imitation suppresses epidemics through better vaccination
Journal of Computational Social Science - Tập 4 - Trang 709-720 - 2021
The decision of whether or not to vaccinate is a complex one. It involves the contribution both to a social good—herd immunity—and to one’s own well-being. It is informed by social influence, personal experience, education, and mass media. In our work, we investigate a situation in which individuals make their choice based on how social neighbourhood responded to previous epidemics. We do this by ......
Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance
Journal of Computational Social Science - - 2024
Intervention-based mitigation methods have become a common way to fight misinformation on Social Media (SM). However, these methods depend on how information spreads are modeled in a diffusion model. Unfortunately, there are no realistic diffusion models or enough diverse datasets to train diffusion prediction functions. In particular, there is an urgent need for mitigation methods and labeled dat......
Determining political interests of issue-motivated groups on social media: joint topic models for issues, sentiment and stance
Journal of Computational Social Science - - 2022
A belief in rewards accelerates cooperation on consumer-generated media
Journal of Computational Social Science - Tập 3 - Trang 19-31 - 2019
Consumer-Generated Media (CGM) are useful for sharing information, but information does not come without cost. Incentives to discourage free riding (receiving information, but not providing it) are, therefore, offered to CGM users. The public goods game framework is a strong tool for analyzing and understanding CGM and users’ information behaviors. Although it is well known that rewards are needed......
Predicting regime shifts in social systems modelled with agent-based methods
Journal of Computational Social Science - Tập 4 - Trang 163-185 - 2020
We investigate the possibility to apply a method of calculus analytics developed for predicting critical transitions in complex systems to social systems modelled with agent-based methods (ABMs). We introduce this method on the example of an equation-based modelled system and subsequently test it—to our knowledge for the first time—on ABMs. Our experiments show that the method may have wide applic......
An exploratory analysis of COVID bot vs human disinformation dissemination stemming from the Disinformation Dozen on Telegram
Journal of Computational Social Science - - 2024
The COVID-19 pandemic of 2021 led to a worldwide health crisis that was accompanied by an infodemic. A group of 12 social media personalities, dubbed the “Disinformation Dozen”, were identified as key in spreading disinformation regarding the COVID-19 virus, treatments, and vaccines. This study focuses on the spread of disinformation propagated by this group on Telegram, a mobile messaging and soc......
Tracking moral divergence with DDR in presidential debates over 60 years
Journal of Computational Social Science - Tập 6 - Trang 339-357 - 2023
Televised presidential debates, a communication form specifically designed to evoke meaningful clash of issue viewpoints, have been criticized for the lack of real clash and issue discussion for decades. Have the debaters made any improvement? This study investigates the evolution of this perennial paradox through the lens of mediatization using an instrument grounded in Moral Foundation Theory. A......
Exploring the political pulse of a country using data science tools
Journal of Computational Social Science - Tập 5 - Trang 987-1000 - 2022
In this paper we illustrate the use of Data Science techniques to analyse complex human communication. In particular, we consider tweets from leaders of political parties as a dynamical proxy to political programmes and ideas. We also study the temporal evolution of their contents as a reaction to specific events. We analyse levels of positive and negative sentiment in the tweets using new tools a......
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