[HTML][HTML] Cognitive biases in fact-checking and their countermeasures: a review

M Soprano, K Roitero, D La Barbera, D Ceolin… - Information Processing …, 2024 - Elsevier
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 plague. In …

Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning

PMS Freire, FRM da Silva, RR Goldschmidt - Expert Systems with …, 2021 - Elsevier
The problem of automatic Fake News detection in digital media of news distribution (DMND-
eg, social networks, online newspaper, etc) has become even more relevant. Among the …

[PDF][PDF] Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities.

G Demartini, S Mizzaro, D Spina - IEEE Data Eng. Bull., 2020 - damianospina.com
The rise of online misinformation is posing a threat to the functioning of democratic
processes. The ability to algorithmically spread false information through online social …

All those wasted hours: On task abandonment in crowdsourcing

L Han, K Roitero, U Gadiraju, C Sarasua… - Proceedings of the …, 2019 - dl.acm.org
Crowdsourcing has become a standard methodology to collect manually annotated data
such as relevance judgments at scale. On crowdsourcing platforms like Amazon MTurk or …

Combining crowd and machine intelligence to detect false news on social media

X Wei, Z Zhang, M Zhang, W Chen, DD Zeng - Mis Quarterly, 2022 - papers.ssrn.com
The explosive spread of false news on social media has severely affected many areas such
as news ecosystems, politics, economics, and public trust, especially amid the COVID-19 …

[PDF][PDF] Human-AI collaboration in organisations: a literature review on enabling value creation

M Raftopoulos, J Hamari - 2023 - core.ac.uk
The augmentation of human capability with artificial intelligence is integral to the
advancement of next generation human-machine collaboration technologies designed to …

In what mood are you today? An analysis of crowd workers' mood, performance and engagement

M Zhuang, U Gadiraju - Proceedings of the 10th ACM Conference on …, 2019 - dl.acm.org
The mood of individuals in the workplace has been well-studied due to its influence on task
performance, and work engagement. However, the effect of mood has not been studied in …

Crowd worker strategies in relevance judgment tasks

L Han, E Maddalena, A Checco, C Sarasua… - Proceedings of the 13th …, 2020 - dl.acm.org
Crowdsourcing is a popular technique to collect large amounts of human-generated labels,
such as relevance judgments used to create information retrieval (IR) evaluation collections …

The impact of task abandonment in crowdsourcing

L Han, K Roitero, U Gadiraju, C Sarasua… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
Crowdsourcing has become a standard methodology to collect manually annotated data
such as relevance judgments at scale. On crowdsourcing platforms like Amazon MTurk or …

Discovering the sweet spot of human-computer configurations: A case study in information extraction

M Mackeprang, C Müller-Birn, MT Stauss - Proceedings of the ACM on …, 2019 - dl.acm.org
Interactive intelligent systems, ie, interactive systems that employ AI technologies, are
currently present in many parts of our social, public and political life. An issue reoccurring …