[HTML][HTML] Predicting and analyzing the popularity of false rumors in Weibo
Malicious online rumors with high popularity, if left undetected, can spread very quickly with
damaging societal implications. The development of reliable computational methods for …
damaging societal implications. The development of reliable computational methods for …
Examining temporal bias in abusive language detection
The use of abusive language online has become an increasingly pervasive problem that
damages both individuals and society, with effects ranging from psychological harm right …
damages both individuals and society, with effects ranging from psychological harm right …
Evolving domain adaptation of pretrained language models for text classification
Adapting pre-trained language models (PLMs) for time-series text classification amidst
evolving domain shifts (EDS) is critical for maintaining accuracy in applications like stance …
evolving domain shifts (EDS) is critical for maintaining accuracy in applications like stance …
Examining the limitations of computational rumor detection models trained on static datasets
A crucial aspect of a rumor detection model is its ability to generalize, particularly its ability to
detect emerging, previously unknown rumors. Past research has indicated that content …
detect emerging, previously unknown rumors. Past research has indicated that content …
Explicit Stance Detection in the Political Domain: A New Concept and Associated Dataset
AR Caceres-Wright, N Udhayasankar, G Bunn… - … Conference on Social …, 2024 - Springer
Stance detection, defined as the task of classifying an individual's attitude towards a target
person or concept, offers the potential to understand political opinions at scale using social …
person or concept, offers the potential to understand political opinions at scale using social …
Analyse, détection et quantification de la controverse dans les médias sociaux par l'utilisation de modèle d'apprentissage profond sur des données structurelles et …
S Benslimane - 2023 - theses.hal.science
Ces dernières années, l'utilisation massive des réseaux sociaux et le nombre im-portant
d'utilisateurs impliqués a été une source incontournable pour les études etanalyses, sur …
d'utilisateurs impliqués a été une source incontournable pour les études etanalyses, sur …
Combating misinformation on social media by exploiting post and user-level information
Y Mu - 2023 - etheses.whiterose.ac.uk
Misinformation on social media has far-reaching negative impact on the public and society.
Given the large number of real-time posts on social media, traditional manual-based …
Given the large number of real-time posts on social media, traditional manual-based …