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The Effects of Crowd Worker Biases in Fact-Checking Tasks

Due to the increasing amount of information shared online every day, the need for sound and reliable ways of distinguishing between trustworthy and non-trustworthy information is as present as ever. One technique for performing fact-checking at scale …

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 crowdsourcing platforms exist, where requesters can upload tasks and …

E-BART: Jointly Predicting and Explaining Truthfulness

Automated fact-checking (AFC) systems exist to combat disinformation, however their complexity makes them opaque to the end user, making it difficult to foster trust. In this paper, we introduce the E-BART model with the hope of making progress on …

Assessing the Quality of Online Reviews Using Formal Argumentation Theory

Review scores collect users opinions in a simple and intuitive manner. However, review scores are also easily manipulable, hence they are often accompanied by explanations. A substantial amount of research has been devoted to ascertaining the quality …

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 …

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 …

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 systematic approach to identify bias and its causes, and to remove …

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 established and reasonable, is not free from problems, and alternative …

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 …

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 …