Characterizing online engagement with disinformation and conspiracies in the 2020 US presidential election

K Sharma, E Ferrara, Y Liu - … of the international AAAI conference on …, 2022 - ojs.aaai.org
Identifying and characterizing disinformation in political discourse on social media is critical
to ensure the integrity of elections and democratic processes around the world. Persistent …

Text analysis of evolving emotions and sentiments in COVID-19 Twitter communication

VC Storey, DE O'Leary - Cognitive Computation, 2024 - Springer
Scientists and regular citizens alike search for ways to manage the widespread effects of the
COVID-19 pandemic. While scientists are busy in their labs, other citizens often turn to …

Statin twitter: human and automated Bot contributions, 2010 to 2022

SD Slavin, AN Berman, AL Beam… - Journal of the …, 2024 - ahajournals.org
Background Many individuals eligible for statin therapy decline treatment, often due to fear
of adverse effects. Misinformation about statins is common and drives statin reluctance, but …

A look into covid-19 vaccination debate on twitter

LG Malagoli, J Stancioli, CHG Ferreira… - Proceedings of the 13th …, 2021 - dl.acm.org
Twitter is one of the most popular social media applications used by the general public to
debate a wide range of topics. It is not surprising that the platform has become an …

Predicting tweet engagement with graph neural networks

M Arazzi, M Cotogni, A Nocera, L Virgili - Proceedings of the 2023 ACM …, 2023 - dl.acm.org
Social Networks represent one of the most important online sources to share content across
a world-scale audience. In this context, predicting whether a post will have any impact in …

Characterizing user susceptibility to COVID-19 misinformation on Twitter

X Teng, YR Lin, WT Chung, A Li… - Proceedings of the …, 2022 - ojs.aaai.org
Though significant efforts such as removing false claims and promoting reliable sources
have been increased to combat COVID-19 misinfodemic, it remains an unsolved societal …

A Framework for Enhancing Social Media Misinformation Detection with Topical-Tactics

BE Bagozzi, R Goel, B Lugo-de-Fabritz… - … Threats: Research and …, 2024 - dl.acm.org
Recent years have seen advancements in machine learning methods for the detection of
misinformation on social media. Yet, these methods still often ignore or improperly …

A large-scale comparative study of accurate COVID-19 information versus misinformation

Y Mu, Y Jiang, F Heppell, I Singh, C Scarton… - arxiv preprint arxiv …, 2023 - arxiv.org
The COVID-19 pandemic led to an infodemic where an overwhelming amount of COVID-19
related content was being disseminated at high velocity through social media. This made it …

[PDF][PDF] Proliferation of health misinformation on social media platforms: a systematic literature review.

P Vyas, G Vyas, J Liu - Issues in Information Systems, 2021 - iacis.org
This paper presents a systematic literature review to provide a conceptual framework and
future research directions for the identification and detection of health misinformation on …

Investigating dynamic relations between factual information and misinformation: Empirical studies of tweets related to prevention measures during COVID‐19

Y Wang, S Gao, W Gao - Journal of Contingencies and Crisis …, 2022 - Wiley Online Library
During COVID‐19, misinformation on social media has affected people's adoption of
appropriate prevention behaviors. Although an array of approaches have been proposed to …