Exploring public voice on social media: Twitter Users' views on the circular economy

Author:

Eid Mohammad Al Haj1ORCID,Dandis Ala' Omar1ORCID,Cathro Virginia2,Parackal Mathew3

Affiliation:

1. E‐Marketing and Social Media Department Princess Sumaya University for Technology Amman Jordan

2. Management Department Otago Business School, University of Otago Dunedin New Zealand

3. Marketing Department Otago Business School, University of Otago Dunedin New Zealand

Abstract

AbstractThis paper aims to explore all the ideas and topics associated with the discussion about the circular economy on social media sites. All tweets mentioning the CE were collected and subjected to latent Dirichlet allocation topic modelling to identify discussion themes manual validation refined topic coherence. Findings offer novel empirical insights into how the CE is currently framed in public discourse. Dominant themes emphasise strategic communication and technical CE activities rather than inclusive participation. Gaps were also identified, such as limited discussion of CE's social role and broader activities beyond recycling. By quantitatively examining large‐scale online discussions, this research makes an original contribution to establishing the neglected social dimension of CE transitions. The findings carry essential theoretical implications for refining CE conceptualisations better to integrate socio‐cultural factors critical for just, systemic change. Practically, the study equips decision‐makers with data‐driven guidance on developing more participatory communication approaches and policies promoting the CE. This study transitions research and advances the scholarship of the circular economy by using a mixed‐methods approach to analyse a crucial but little‐studied stakeholder perspective.

Publisher

Wiley

Reference61 articles.

1. Uniting the Tribes: Using Text for Marketing Insight

2. Mining FDA drug labels using an unsupervised learning technique‐topic modeling;Bisgin H.;BMC Bioinformatics,2011

3. Probabilistic topic models

4. Modeling annotated data

5. 10.1162/jmlr.2003.3.4-5.993

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3