crowdsourcing

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 …

Social Computing - 2021/2022

Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2021/2022. Lectures: 6. Hours: 12

Social Computing - 2021/2022

Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2022/2023. Lectures: 2. Hours: 4

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

Conference Talk - The 15th ACM International Conference on Web Search and Data Mining. Held remotely due to COVID-19 (pre-recorded contribution).

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 …

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 balanced set of workers with different backgrounds and cognitive …

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 of non-expert is exploited. We study whether crowdsourcing is an …

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).

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 …