Insight from the horsemeat scandal: Exploring the consumers' opinion of tweets toward Tesco. Issue 6 (11th July 2016)
- Record Type:
- Journal Article
- Title:
- Insight from the horsemeat scandal: Exploring the consumers' opinion of tweets toward Tesco. Issue 6 (11th July 2016)
- Main Title:
- Insight from the horsemeat scandal
- Authors:
- Tse, Ying Kei
Zhang, Minhao
Doherty, Bob
Chappell, Paul
Garnett, Philip - Abstract:
- Abstract : Purpose: – Social media has become an important part of daily interpersonal communication in contemporary society. The purpose of this paper is to explore the attitudes of UK consumers by identifying the hidden information in tweets, and provide a framework which can assist industry practitioners in managing social media data. Design/methodology/approach: – Using a large-scale dataset of tweets relating to the Horsemeat scandal of 2013, a comprehensive data analysis framework, which comprises multidimensional scaling and sentiment analysis, alongside other methods, was applied to explore customers' opinions. Findings: – Making jokes in social media was a main trend in the tweets relating to Tesco during the Horsemeat scandal. Consumer sentiments were overall negative and burgers were the most mentioned product in the week-long period after the story broke. The posting of tweets was correlated with the timing of news coverage, which indicates that the traditional media is still crucial to public opinion formation. Practical implications: – This paper presents a progressive tweet-mining framework that can serve as a tool for academia and practitioners in crisis management. The proposed framework indicates the significant importance of timely categorising the topics, identifying the sentiment of tweets and understanding the changes of consumer opinions over time in a crisis. Originality/value: – The research presented in this paper is one of the limited social mediaAbstract : Purpose: – Social media has become an important part of daily interpersonal communication in contemporary society. The purpose of this paper is to explore the attitudes of UK consumers by identifying the hidden information in tweets, and provide a framework which can assist industry practitioners in managing social media data. Design/methodology/approach: – Using a large-scale dataset of tweets relating to the Horsemeat scandal of 2013, a comprehensive data analysis framework, which comprises multidimensional scaling and sentiment analysis, alongside other methods, was applied to explore customers' opinions. Findings: – Making jokes in social media was a main trend in the tweets relating to Tesco during the Horsemeat scandal. Consumer sentiments were overall negative and burgers were the most mentioned product in the week-long period after the story broke. The posting of tweets was correlated with the timing of news coverage, which indicates that the traditional media is still crucial to public opinion formation. Practical implications: – This paper presents a progressive tweet-mining framework that can serve as a tool for academia and practitioners in crisis management. The proposed framework indicates the significant importance of timely categorising the topics, identifying the sentiment of tweets and understanding the changes of consumer opinions over time in a crisis. Originality/value: – The research presented in this paper is one of the limited social media research to focus on a UK food fraud issue and adds to the limited body of literature investigating consumer social media use from the side of industry practitioners. … (more)
- Is Part Of:
- Industrial management & data systems. Volume 116:Issue 6(2016)
- Journal:
- Industrial management & data systems
- Issue:
- Volume 116:Issue 6(2016)
- Issue Display:
- Volume 116, Issue 6 (2016)
- Year:
- 2016
- Volume:
- 116
- Issue:
- 6
- Issue Sort Value:
- 2016-0116-0006-0000
- Page Start:
- 1178
- Page End:
- 1200
- Publication Date:
- 2016-07-11
- Subjects:
- Social media -- Crisis management -- Food fraud incident -- Twitter mining
Industrial management -- Periodicals
Electronic data processing -- Periodicals
Business -- Periodicals
Industrial management -- Great Britain -- Periodicals
658.05 - Journal URLs:
- http://www.emeraldinsight.com/0263-5577.htm ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/IMDS-10-2015-0417 ↗
- Languages:
- English
- ISSNs:
- 0263-5577
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4457.715000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8142.xml