Damiano Spina

Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher

While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work. …

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Crowdsourced Fact-checking: Does It Actually Work?

There is an important ongoing effort aimed to tackle misinformation and to perform reliable fact-checking by employing human assessors at scale, with a crowdsourcing-based …

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Cognitive Biases in Fact-Checking and Their Countermeasures: A Review

The increase of the amount of misinformation spread every day online is a huge threat to the society. Organizations and researchers are working to contrast this misinformation …

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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

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 …

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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 …

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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 …

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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 …

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