The Fake News Vaccine

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Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicity of these outlets should ensure a variety of viewpoints, recent reports sug ...

The Web constitutes a valuable source of information. In recent years, it fostered the construction of large-scale knowledge bases, such as Freebase, YAGO, and DBpedia, each storing millions of facts about society in general, and specific domains, such as ...

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of-the-art sentence embeddings, followed by a regression model and clustering, ...

The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies are tra ...

The concept of an ePortfolio was introduced in 1999 as an electronic learning record and further developed to overcome the limitation of learning management systems lacking persistent storage for learning artifacts. Nowadays, educational platforms have evo ...

Online social data has been hailed to provide unprecedented insights into human phenomena due to its ability to capture human behavior at a scale and level of detail, both in breadth and depth, that is hard to achieve through conventional data collection t ...

We propose a novel Bayesian approach to automated delineation of curvilinear structures that form complex and potentially loopy networks. By representing the image data as a graph of potential paths, we first show how to weight these paths using discrimina ...

Social media is becoming more and more integrated in the distribution and consumption of news. How is news in social media different from mainstream news? % This paper presents a comparative analysis covering a span of 17 months and hundreds of news events ...

In this thesis, we explore the application of data mining and machine learning techniques to several practical problems. These problems have roots in various fields such as social science, economics, and political science. We show that computer science tec ...

Activity-based social networks, where people upload and share information about their location-based activities (e.g., the routes of their activities), are increasingly popular. Such systems, however, raise privacy and security issues: the service provider ...

Early modern printed gazettes relied on a system of news exchange and text reuse largely based on handwritten sources. The reconstruction of this information exchange system is possible by detecting reused texts. We present a method to individuate text bor ...

The Fake News Vaccine

Chattez avec Graph Search

A Dynamic Embedding Model of the Media Landscape

Effort-driven Fact Checking

Correlating Twitter Language with Community-Level Health Outcomes

Automatic Online Fake News Detection Combining Content and Social Signals

Beyond ePortfolios: Creating, Exploiting, and Archiving Activity Traces, Learning Outcomes, and Learning Analytics as Personal Shareable Online Spaces

Probing the Limits of Social Data : Biases, Methods, and Domain Knowledge

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

Comparing Events Coverage in Online News and Social Media: The Case of Climate Change

Combine and Conquer : Mining Social Systems for Prediction

Secure and Private Proofs for Location-Based Activity Summaries in Urban Areas

Mapping the Early Modern News Flow: An Enquiry by Robust Text Reuse Detection