Caio Machado - Academia.edu (original) (raw)
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Universidade Estadual Paulista "Júlio de Mesquita Filho"
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Papers by Caio Machado
Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. ... more Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, per...
Revista de Direito Sanitário, 2013
Companion Proceedings of The 2019 World Wide Web Conference, 2019
There are rising concerns over the spread of misinformation in WhatsApp groups and the potential ... more There are rising concerns over the spread of misinformation in WhatsApp groups and the potential impact on political polarization, hindrance of public debate and fostering acts of political violence. As social media use becomes increasingly widespread, it becomes imperative to study how these platforms can be used to as a tool to spread propaganda and manipulate audience groups ahead of important political events. In this paper, we present a grounded typology to classify links to news sources into different categories including ‘junk’ news sources that deliberately publish or aggregate misleading, deceptive or incorrect information packaged as real news about politics, economics or culture obtained from public WhatsApp groups. Further, we examine a sample of 200 videos and images, extracted from a sample of WhatsApp groups and develop a new typology to classify this media content. For our analysis, we have used data from 130 public WhatsApp groups in the period leading up to the two rounds of the 2018 Brazilian presidential elections.
Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. ... more Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, per...
Revista de Direito Sanitário, 2013
Companion Proceedings of The 2019 World Wide Web Conference, 2019
There are rising concerns over the spread of misinformation in WhatsApp groups and the potential ... more There are rising concerns over the spread of misinformation in WhatsApp groups and the potential impact on political polarization, hindrance of public debate and fostering acts of political violence. As social media use becomes increasingly widespread, it becomes imperative to study how these platforms can be used to as a tool to spread propaganda and manipulate audience groups ahead of important political events. In this paper, we present a grounded typology to classify links to news sources into different categories including ‘junk’ news sources that deliberately publish or aggregate misleading, deceptive or incorrect information packaged as real news about politics, economics or culture obtained from public WhatsApp groups. Further, we examine a sample of 200 videos and images, extracted from a sample of WhatsApp groups and develop a new typology to classify this media content. For our analysis, we have used data from 130 public WhatsApp groups in the period leading up to the two rounds of the 2018 Brazilian presidential elections.