Fake news, disinformation and misinformation in social media: a review

E Aïmeur, S Amri, G Brassard - Social Network Analysis and Mining, 2023 - Springer
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …

[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 …

The state of human-centered NLP technology for fact-checking

A Das, H Liu, V Kovatchev, M Lease - Information processing & …, 2023 - Elsevier
Misinformation threatens modern society by promoting distrust in science, changing
narratives in public health, heightening social polarization, and disrupting democratic …

Crowdsourced fact-checking at Twitter: how does the crowd compare with experts?

M Saeed, N Traub, M Nicolas, G Demartini… - Proceedings of the 31st …, 2022 - dl.acm.org
Fact-checking is one of the effective solutions in fighting online misinformation. However,
traditional fact-checking is a process requiring scarce expert human resources, and thus …

Birdwatch: Crowd wisdom and bridging algorithms can inform understanding and reduce the spread of misinformation

S Wojcik, S Hilgard, N Judd, D Mocanu… - arxiv preprint arxiv …, 2022 - arxiv.org
We present an approach for selecting objectively informative and subjectively helpful
annotations to social media posts. We draw on data from on an online environment where …

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale

M Soprano, K Roitero, D La Barbera, D Ceolin… - Information Processing …, 2021 - Elsevier
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 …

Knowledge learning with crowdsourcing: A brief review and systematic perspective

J Zhang - IEEE/CAA Journal of Automatica Sinica, 2022 - ieeexplore.ieee.org
Big data have the characteristics of enormous volume, high velocity, diversity, value-sparsity,
and uncertainty, which lead the knowledge learning from them full of challenges. With the …

[HTML][HTML] Crowdsourced Fact-checking: Does It Actually Work?

D La Barbera, E Maddalena, M Soprano… - Information Processing …, 2024 - Elsevier
There is an important ongoing effort aimed to tackle misinformation and to perform reliable
fact-checking by employing human assessors at scale, with a crowdsourcing-based …

The effects of crowd worker biases in fact-checking tasks

T Draws, D La Barbera, M Soprano, K Roitero… - Proceedings of the …, 2022 - dl.acm.org
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 …

Can the crowd identify misinformation objectively? The effects of judgment scale and assessor's background

K Roitero, M Soprano, S Fan, D Spina… - Proceedings of the 43rd …, 2020 - dl.acm.org
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 …