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Draws, T.A. (author), La Barbera, David (author), Soprano, Michael (author), Roitero, Kevin (author), Ceolin, Davide (author), Checco, Alessandro (author), Mizzaro, Stefano (author)
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 is to employ human intelligence in the form of crowd workers. Although earlier work has...
conference paper 2022
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Draws, T.A. (author), Rieger, A. (author), Inel, O. (author), Gadiraju, Ujwal (author), Tintarev, N. (author)
Recent research has demonstrated that cognitive biases such as the confirmation bias or the anchoring effect can negatively affect the quality of crowdsourced data. In practice, however, such biases go unnoticed unless specifically assessed or controlled for. Task requesters need to ensure that task workflow and design choices do not trigger...
conference paper 2021