Interest in food and online communication is growing fast among marketing and business
scholars. Nevertheless, this interest has been not exclusive to these areas. Researchers …

Traffic assignment problem (TAP) is of great significance for promoting the development of
smart city and society. It usually focuses on the deterministic or predictable traffic demand …

Inspired by the behavior law of human social groups, a new swarm intelligence algorithm
named the dual-population social group optimization (DPSGO) algorithm is proposed in this …

Text classifiers are applied at scale in the form of one-size-fits-all solutions. Nevertheless,
many studies show that classifiers are biased regarding different languages and dialects …

Gender-based violence (GBV) has been plaguing our society for long back. The severity of
GBV has spurred research around understanding the causes and factors leading to GBV …

Social media platforms like Twitter (now X) have been pivotal in information dissemination
and public engagement, especially during COVID-19. A key goal for public health experts …

Understanding and prediction of spreading phenomena are vital for numerous applications.
The massive availability of social network data provides a platform for studying spreading …

Although displaying local popularity is wildly adopted by major platforms, the actual effect of
such information cues on motivating users has not been documented. Findings from a field …

Abstract The field of Natural Language Processing (NLP) has seen rapid growth in recent
years due to increased access to big data through social media platforms. The ability of NLP …

In athletics of the past, the confirmation of athletes' performance through manual timing can
no longer meet the requirements, and electronic camera technology must be used. At …