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 …

Machine Infelicity In A Poignant Visitor Setting: Comparing Human And Ai’S Ability To Analyze Discourse, Martin Maccarthy, Hairong Shan

Research outputs 2014 to 2021

This study compares the efficacy of computer and human analytics in a commemorative setting. Both deductive and inductive reasoning are compared using the same data across both methods. The data comprises 2490 non-repeated, non-dialogical social media comments from the popular touristic site Tripadvisor. Included in the analysis is participant observation at two Anzac commemorative sites, one in Western Australia and one in Northern France. The data is then processed using both Leximancer V4.51 and Dialectic Thematic Analysis. The findings demonstrate artificial intelligence (AI) was incapable of insight beyond metric-driven content analysis. While fully deduced by human analysis the metamodel was …

Showcasing Leximancer In Tourism And Hospitality Research: A Review Of Leximancer-Based Research Published In Tourism And Hospitality Journals During 2014–2020, Edmund Goh, Violetta Wilk

Research outputs 2022 to 2026

This study showcases how the Leximancer program can be used to review Leximancer-based research published in tourism and hospitality journals during 2014-2020. Along with a Leximancer-generated concept map, a new tags' association visual analysis was also performed. This innovative method of analysis is a key contribution, as past Leximancer studies in hospitality and tourism have predominantly relied on thematic analysis only. An Insight Dashboard report that is based on Bayesian algebra algorithm in calculating Prominence Scores (PS) for key concepts and compound concepts emergent from the data, supplemented the visual analyses. Thirty-three (33) tourism and three (3) hospitality papers were …

The State Of #Digitalentrepreneurship: A Big Data Leximancer Analysis Of Social Media Activity, Violetta Wilk, Helen Cripps, Alexandru Capatina, Adrian Micu, Angela-Eliza Micu

Research outputs 2014 to 2021

This paper examined online sentiment, key themes and patterns evident in social media activity about digital entrepreneurship. It provides a snapshot-in-time, visual-first perspective on social media user-generated-content (UGC) to better understand the topic of digital entrepreneurship. Global data consisting of 31,017 publicly available UGC which used the #digitalentrepreneurship (hashtag) and the keywords ‘digital entrepreneurship’ were collected. A computer assisted qualitative data analysis software (CAQDAS), Leximancer, was used for an automated text-mining analysis. There is positive online sentiment surrounding digital entrepreneurship technology, ecosystem and industry, and one which promotes women transformation of digital entrepreneurship globally. Negative sentiment pointed out that future …

Twitter Content Analysis Of The Australian Bushfires Disaster 2019-2020: Futures Implications, Gregory Willson, Violetta Wilk, Ruth Sibson, Ashlee Morgan

Research outputs 2014 to 2021

Purpose: This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry. Design/methodology/approach: A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that mentioned the bushfires and wildlife are explored. Findings: The devastation of wildlife through the Australian bushfire disaster elicited emotionally charged Twitter content from both Australian and overseas users. Positive sentiment focused on offering support to areas impacted …

Commemorative Insights: The Best Of Life, In Death, Martin Maccarthy, Ker Ni Heng Rigney

Research outputs 2014 to 2021

This study explores visitor experience at the National Anzac Centre in Western Australia using multiple qualitative methods. Initially, Nethnography is used to assemble a blend of lived experience and online non-dialogical commentary. Nethnography (an alternative to Netnography) is used here as a mechanism for data grooming. Three data sets inform this study: 500 Trip Advisor comments, 500 Visitors’ Book comments and four days of participant observation. The data are then analysed using Reflexive Thematic Analysis and Leximancer in the unsupervised mode. This methodological collage is designed to improve the veracity of interpretation through both lived experience and triangulation across data …

Tackling Social Media Data Analysis: Comparing And Contrasting Qsr Nvivo And Leximancer, Violetta Wilk, Geoffrey N. Soutar, Paul Harrigan

Research outputs 2014 to 2021

Purpose

This paper aims to offer insights into the ways two computer-aided qualitative data analysis software (CAQDAS) applications (QSR NVivo and Leximancer) can be used to analyze big, text-based, online data taken from consumer-to-consumer (C2C) social media communication.

Design/methodology/approach

This study used QSR NVivo and Leximancer, to explore 200 discussion threads containing 1,796 posts from forums on an online open community and an online brand community that involved online brand advocacy (OBA). The functionality, in particular, the strengths and weaknesses of both programs are discussed. Examples of the types of analyses each program can undertake and the visual output available …