Stefano Mizzaro

Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-Shelf

Due to their relatively low cost and ability to scale, crowdsourcing based approaches are widely used to collect a large amount of human annotated data. To this aim, multiple …

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Michael Soprano

The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale

Recent work has demonstrated the viability of using crowdsourcing as a tool for evaluating the truthfulness of public statements. Under certain conditions such as: (1) having a …

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Michael Soprano

Can The Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation About COVID-19

Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a few experts, a crowd …

kevin-roitero

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

Misinformation is an ever increasing problem that is difficult to solve for the research community and has a negative impact on the society at large. Very recently, the problem has …

kevin-roitero
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? featured image

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

Conference Talk - The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). October 19, 2020, Galway, Ireland (remote). Held remotely as a …

kevin-roitero
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor’s Background featured image

Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor’s Background

Conference Talk - The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). July 25, 2020, Xi'an, China (remote). Held remotely …

kevin-roitero

Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background

Truthfulness judgments are a fundamental step in the process of fighting misinformation, as they are crucial to train and evaluate classifiers that automatically distinguish true …

kevin-roitero

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models

Information retrieval effectiveness evaluation is often carried out by means of test collections. Many works investigated possible sources of bias in such an approach. We propose a …

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Michael Soprano
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Model featured image

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Model

Workshop Talk - Italian Information Retrieval Workshop (IIR 2019). September 16, 2019, Padua, Italy.

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Michael Soprano

HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis

Peer review is a well known mechanism exploited within the scholarly publishing process to ensure the quality of scientific literature. Such a mechanism, despite being well …

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Michael Soprano