Marcella Tambuscio- PhD
- Postdoctoral Researcher at Austrian Academy of Sciences (OeAW)
Marcella Tambuscio
- PhD
- Postdoctoral Researcher at Austrian Academy of Sciences (OeAW)
Postdoctoral Researcher at Austrian Academy of Sciences
About
10
Publications
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Introduction
Marcella is a postdoctoral researcher at Austrian Academy of Sciences in Vienna. Her main research goal is to explore applications for machine learning techniques in the humanities.
She has a bachelor's degree in Mathematics and a master's degree in Computer Science from University of Pisa. In 2017 she completed her PhD in Computer Science at University of Turin, focusing her research on spreading phenomena in social networks, specially misinformation and fake news diffusion. In her thesis specifically she studied the effectiveness of fact-checking and explored the role of network segregation and gullible communities in the dissemination process of hoaxes. Her research interests are Network Science, Machine Learning, Digital Humanities, Data Mining and Visualisation.
Current institution
Publications
Publications (10)
On November 2, 2020, the Austrian capital Vienna experienced the worst terrorist attack in decades: A self-proclaimed Islamist gunman killed four people and injured 23 others. The attack triggered an extremely strong media response, especially in the so-called social media. This article focuses on the days and weeks following the terrorist attack o...
On November 2, 2020, the Austrian capital Vienna experienced the worst terrorist attack in decades: A self-proclaimed Islamist gunman killed four people and injured 23 others. The attack triggered an extremely strong media response, especially in the so-called social media. This article focuses on the days and weeks following the terrorist attack o...
We aim to explore the connections between structural network inequalities and bank’s customer spending behaviours, within an entire national ecosystem made of natural persons (i.e., an individual human being) and legal entities (i.e., private or public organisations), different business sectors, and supply chains that span distinct geographical reg...
Abstract We propose a framework to study the spreading of urban legends, i.e., false stories that become persistent in a local popular culture, where social groups are naturally segregated by virtue of many (both mutable and immutable) attributes. The goal of this work is identifying and testing new strategies to restrain the dissemination of false...
In the last decade, social media gained a very significant role in public debates, and despite the many intrinsic difficulties of analyzing data streaming from on-line platforms that are poisoned by bots, trolls, and low-quality information, it is undeniable that such data can still be used to test the public opinion and overall mood and to investi...
![Simplification of the model setting pv=1-α\documentclass[12pt]{minimal}...](profile/Marcella-Tambuscio/publication/309131681/figure/fig5/AS:963468689690686@1606720244897/Simplification-of-the-model-setting-pv1-adocumentclass12ptminimal_Q320.jpg)
Misinformation under the form of rumor, hoaxes, and conspiracy theories spreads on social media at alarming rates. One hypothesis is that, since social media are shaped by homophily, belief in misinformation may be more likely to thrive on those social circles that are segregated from the rest of the network. One possible antidote is fact checking...
This paper focuses on the role of social relations within social media in the formation of public opinion. We propose to combine the detection of the users' stance towards BREXIT, carried out by content analysis of Twitter messages, and the exploration of their social relations, by relying on social network analysis.
The analysis of a novel Twitte...
Misinformation under the form of rumor, hoaxes, and conspiracy theories spreads on social media at alarming rates. One hypothesis is that, since social media are shaped by homophily, belief in misinformation may be more likely to thrive on those social circles that are segregated from the rest of the network. One possible antidote is fact checking...
The goal of this work is to introduce a simple modeling framework to study the diffusion of hoaxes and in particular how the availability of debunking information may contain their diffusion. As traditionally done in the mathematical modeling of information diffusion processes, we regard hoaxes as viruses: users can become infected if they are expo...
