A taxonomy for business news audiences in MENA: a step in reducing information asymmetries

Fisal Alaqil ()
Additional contact information
Fisal Alaqil: King Saud University

Palgrave Communications, 2024, vol. 11, issue 1, 1-8

Abstract: Abstract This study looks at how a possible categorization or taxonomy of the audiences that consume business and financial news could be a first step to setting policies and approaches to reduce information asymmetries in a region characterized by deep inequalities. This study looks at how changes in the way people access and use news, which now is predominantly via social media, opens the opportunity to address some of these gaps. The study is based on eight focus groups that took place in Egypt, Kuwait, Qatar, and Lebanon using Zoom. The overall data suggests that MENA audiences have shifted to social media as the main source from where they get their news, and this is significantly important for the future of the mainstream media, particularly in relation to our news beat. It also confirms that there is now an opportunity to categorize MENA business and financial news consumers, although it would be one that is extremely skewed in two tiers.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-03375-w Abstract (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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03375-w

Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about

DOI: 10.1057/s41599-024-03375-w

Access Statistics for this article

More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().