Business Commons^™

An Exploratory Content And Sentiment Analysis Of The Guardian Metaverse Articles Using Leximancer And Natural Language Processing, Sezai Tunca, Bulent Sezen, Violetta Wilk

Research outputs 2022 to 2026

The metaverse has become one of the most popular concepts of recent times. Companies and entrepreneurs are fiercely competing to invest and take part in this virtual world. Millions of people globally are anticipated to spend much of their time in the metaverse, regardless of their age, gender, ethnicity, or culture. There are few comprehensive studies on the positive/negative sentiment and effect of the newly identified, but not well defined, metaverse concept that is already fast evolving the digital landscape. Thereby, this study aimed to better understand the metaverse concept, by, firstly, identifying the positive and negative sentiment characteristics and, …

Supply Chain Insights From Social Media Users’ Responses To Panic Buying During Covid-19: The Herd Mentality, Violetta Wilk, Saiyidi Mat Roni, Ferry Jie

Research outputs 2022 to 2026

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-19 crisis to understand the implications on operations and supply chains.

Design/methodology/approach:

A total of 208,806 social media user-generated content (UGC) pieces were collected from Twitter in three countries – the USA, UK and Australia. The analysis of this big qualitative data was performed using machine learning–based software – Leximancer.

Findings:

Positive and negative sentiment towards panic buying during the COVID-19 crisis was observed in the UGC. No significant differences in social …