Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
The covid-19 infodemic: Twitter versus facebook
The global spread of the novel coronavirus is affected by the spread of related
misinformation—the so-called COVID-19 Infodemic—that makes populations more …
misinformation—the so-called COVID-19 Infodemic—that makes populations more …
Cognitive network science for understanding online social cognitions: A brief review
M Stella - Topics in Cognitive Science, 2022 - Wiley Online Library
Social media are digitalizing massive amounts of users' cognitions in terms of timelines and
emotional content. Such Big Data opens unprecedented opportunities for investigating …
emotional content. Such Big Data opens unprecedented opportunities for investigating …
Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach
Modeling discussions on social networks is a challenging task, especially if we consider
sensitive topics, such as politics or healthcare. However, the knowledge hidden in these …
sensitive topics, such as politics or healthcare. However, the knowledge hidden in these …
CoVaxxy: A collection of English-language Twitter posts about COVID-19 vaccines
With a substantial proportion of the population currently hesitant to take the COVID-19
vaccine, it is important that people have access to accurate information. However, there is a …
vaccine, it is important that people have access to accurate information. However, there is a …
VaccinEU: COVID-19 vaccine conversations on Twitter in French, German and Italian
Despite the increasing limitations for unvaccinated people, in many European countries
there is still a non-negligible fraction of individuals who refuse to get vaccinated against …
there is still a non-negligible fraction of individuals who refuse to get vaccinated against …
Comparing ϕ and the F-measure as performance metrics for software-related classifications
Context The F-measure has been widely used as a performance metric when selecting
binary classifiers for prediction, but it has also been widely criticized, especially given the …
binary classifiers for prediction, but it has also been widely criticized, especially given the …
Folk models of misinformation on social media
F Sharevski, A Devine, E Pieroni, P Jachim - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper we investigate what folk models of misinformation exist through semi-structured
interviews with a sample of 235 social media users. Work on social media misinformation …
interviews with a sample of 235 social media users. Work on social media misinformation …
On development of multimodal named entity recognition using part-of-speech and mixture of experts
J Chen, Y Xue, H Zhang, W Ding, Z Zhang… - International Journal of …, 2023 - Springer
Abstract Multimodal Named Entity Recognition (MNER) is a fundamental task in the field of
natural language processing for social media posts. Current MNER models fail to deal with …
natural language processing for social media posts. Current MNER models fail to deal with …
Fact checking audiovisual en la era de la posverdad.¿ Qué significa validar una imagen?
Este artículo pretende explorar el amplio debate teórico sobre las relaciones que se
establecen entre las imágenes y la complejidad de aplicar sobre ellas conceptos de verdad …
establecen entre las imágenes y la complejidad de aplicar sobre ellas conceptos de verdad …