crowdsourcing

Social Computing - 2020/2021

Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2020/2021. Lectures: 6. Hours: 12

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 19-23, 2020. Galway, Ireland. Online. Held remotely due to COVID-19 (pre-recorded contribution).

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. Held remotely due to COVID-19 (pre-recorded contribution).

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 and false statements. Usually such judgments are made by experts, like …

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 been addressed with a crowdsourcing-based approach to scale up …

Crowdsourcing Peer Review in the Digital Humanities?

We propose an alternative approach to the standard peer review activity that aims to exploit the otherwise lost opinions of readers of publications which is called Readersourcing, originally proposed by Mizzaro [1]. Such an approach can be formalized …

Crowdsourcing Peer Review: As We May Do

This paper describes Readersourcing 2.0, an ecosystem providing an implementation of the Readersourcing approach proposed by Mizzaro [10]. Readersourcing is proposed as an alternative to the standard peer review activity that aims to exploit the …