Social media and decision making: a data science lifecycle for opinion mining of public reactions to the 2020 International Booker Prize in Twitter

Zhe Chyuan Yeap, Pantea Keikhosrokiani and Moussa Pourya Asl

International Journal of Information and Decision Sciences, 2024, vol. 16, issue 4, 409-439

Abstract: The emergence of social media platforms has altered patterns of interaction between individuals and decision-makers. To explore the impact of such changes, this study conducts an opinion mining of public reactions in Twitter to the 2020 International Booker Prize shortlist. Over 13,000 tweets were collected and analysed to examine whether public's emotions and responses to a list of nominees are akin to or influence the judges' decisions about the winning novelist. A data science lifecycle for sentiment analysis and topic modelling is proposed to classify tweet sentiments and identify the dominant topics in relation to the six shortlisted literary works both before and after the announcement of the winner. The findings show a marked discrepancy between readers' preference and the judges' decision as the prize was granted to one of the least heeded nominees. This difference reinforces the suspicion that the literary prizes are filtered through judges' personal views. The proposed digital model in this study can assist critics, book club judges, literary prize-givers, and publishing industries in better decision making.

Keywords: decision making; opinion mining; natural language processing; NLP; sentiment analysis; topic modelling; International Booker Prize. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=142640 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:16:y:2024:i:4:p:409-439

Access Statistics for this article

More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().