Work-life balance Twitter insights: A social media analysis before and after COVID-19 pandemic.

Publication date: Jul 15, 2024

This research examines the perceptions of Twitter users regarding the prevalent topics within Work-Life Balance communication before and after the COVID-19 pandemic. The pressing questions surrounding current labour market drivers are addressed, particularly regarding the ongoing Fourth Industrial Revolution and the COVID-19 pandemic’s impact on communicated themes, particularly in the Human Resource Management field, where Work-Life Balance has emerged as a key concept. Social media platforms like Twitter are pivotal in fostering discussions on Work-Life Balance in society. Over the past decade, Twitter has evolved into a significant research platform researchers utilise in more than ten thousand research articles. The online discourse on Twitter raises awareness of the importance of balancing work and personal life. The COVID-19 pandemic has unveiled new facets of Work-Life Balance, with social media as a key platform for discussing these issues. This research uses Social Media Analysis based on the Hashtag Research framework. A total of 1,768,628 tweets from 499,574 users were examined, and frequency, topic, and sentiment analysis were conducted. Pre-pandemic, the most communicated Work-Life Balance topics were performance and time management, while recruitment and employee development were identified post-pandemic. Pre-pandemic, the highest proportion of negative sentiment was time management and mental health prevention, shifting to time, employee development, and mental health prevention post-pandemic. Despite the limitations of our research, a proposed redefinition of the concept is also presented, including a design for an integrated Work-Life Balance model based on topics communicated by Twitter users. Given the need for a more robust approach to redefining the concept and developing an integrative Work-Life Balance model, the article provides fresh insights for future research.

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Concepts Keywords
Decade COVID-19 pandemic
Drivers Frequency analysis
Pandemic Future of work
Twitter Hashtag research framework
Human resource management
Labour market
Sentiment analysis
Social media analysis
Topic analysis
Twitter
Work-life balance

Semantics

Type Source Name
drug DRUGBANK Isoxaflutole
disease MESH COVID-19 pandemic
drug DRUGBANK Pentaerythritol tetranitrate
disease VO frequency
disease VO time
disease IDO cell
drug DRUGBANK Coenzyme M
disease VO population
disease IDO history
drug DRUGBANK Nonoxynol-9
disease MESH burnout
disease MESH education level
disease VO organization
disease MESH uncertainty
disease MESH unemployment
disease MESH lifestyle
drug DRUGBANK Activated charcoal
drug DRUGBANK Tropicamide
disease MESH mental illness
disease VO monthly
disease VO efficient
disease VO publication
disease IDO process
disease MESH Emergency
disease MESH pneumonia
drug DRUGBANK Alpha-1-proteinase inhibitor
disease VO viable
disease IDO algorithm
drug DRUGBANK Potassium Iodide
disease MESH anomalies
drug DRUGBANK Spinosad
disease VO company
disease VO efficiency
disease VO effective
disease VO effectiveness
disease MESH psychological distress
disease IDO intervention
disease VO organ
drug DRUGBANK Serine
disease MESH Social media addiction
disease MESH body image disorders
disease MESH thinness
disease VO Cpa
disease MESH disruptive behaviors
disease MESH Cancer
drug DRUGBANK Ilex paraguariensis leaf
disease VO age
disease VO vaccine
disease MESH job stress
disease MESH causes
disease MESH Zona
disease MESH sleep quality

Original Article

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