The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …

With the rapid growth of web content from social media, such studies as online opinion
mining or sentiment analysis of text have started receiving attention from government …

Sentiment analysis aims to identify the way in which sentiments are expressed in texts. State-
of-the-art approaches base their analyses solely on the given text, which complicates the …

In times of crisis, the prompt and precise classification of disaster-related information shared
on social media platforms is of paramount importance for effective disaster response and …

Purpose This study applied the herd mentality theory to explore local and global social
media users' responses to panic buying across the USA, UK and Australia during the COVID …

This study unfolds nuanced insights into the diverse dimensions dictating the success of
social media influencers. Analyzing more than 210,000 social media posts and utilizing the …

Using Plutchik's wheel of emotions framework, we identify the emotional content of 133,487
social media posts and the audience's emotional engagement expressed in 2,824,162 …

Numerous approaches have been developed to identify fake news through machine
learning; however, these methods are predominantly assessed using singular datasets …

Delivering prompt information and guidance to farmers is critical in agricultural decision-
making. Farmers' helpline centres are heavily reliant on the expertise and availability of call …

Distance can influence the emotional attitudes of media coverage in different countries. To
effectively promote climate cooperation between countries, it is crucial to understand the …