In this work, we focus on the task of determining the public attitude toward various social
issues discussed on social media platforms. Platforms such as Twitter, however, are often …

Our study focuses on the United Nations Sustainable Development Goal 13: Climate Action,
by identifying public attitudes on Twitter about climate change. Public consent and …

Zero-shot stance detection (ZSSD) aims to identify the stance for a diverse range of topics
with limited or no training data. It is more suitable for evolving real-world topics that are …

To advance argumentative stance prediction as a multimodal problem, the First Shared Task
in Multimodal Argument Mining hosted stance prediction in crucial social topics of gun …

This research introduces a comprehensive suite of neural network models designed to
tackle the challenging task of rumor stance detection within the framework of simulating …

A survey published by Nature in 2016 revealed that more than 70% of researchers failed in
their attempt to reproduce another researcher's experiments, and over 50% failed to …

Stance detection in social networks is still a challenging research topic, and in recent years,
various methods and techniques have been proposed to deal with it. The main challenge in …

The evolution of political campaigns is evident with the ascent of social media. Ideological
beliefs are increasingly disseminated through political-affiliated fan pages. The interaction …

Penelitian ini bertujuan untuk mengklasifikasi sentimen masyarakat pada masa kampanye
pemilu 2024 melalui tweet berbahasa Indonesia pada media sosial X (Twitter). Penelitian ini …