Exploring Social media Knowledge as a means for fighting corruption in CEE countries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F22%3A39919790" target="_blank" >RIV/00216275:25410/22:39919790 - isvavai.cz</a>

Result on the web

<a href="https://papers.academic-conferences.org/index.php/eckm/article/view/613/436" target="_blank" >https://papers.academic-conferences.org/index.php/eckm/article/view/613/436</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.34190/eckm.23.1.613" target="_blank" >10.34190/eckm.23.1.613</a>

Result language

angličtina

Original language name

Exploring Social media Knowledge as a means for fighting corruption in CEE countries

Original language description

It is evidently seen that social networks are assessed widely in recent times as a means of sharing knowledge, and more importantly, resist control from influential entities compared to the regular media. Social media fight corruption by making information readily available in the form of analysis, endorsements, and through campaigns and collaboration. For this reason, some researchers are increasingly interested in how knowledge of social networks impacts our society leading to corruption reduction. In this paper, we explore the contribution of the knowledge of social media networks in reducing corruption within CEE countries. Regression analysis is employed to analyze an eighteen-year panel data (from 2002 to 2020), using secondary data from the World Bank, the World Press Freedom Index, and Transparency International of the selected CEE countries. We analyze social media variables such as social media usage, cultural tightness looseness (CTL) as independent variables and used press freedom, political stability index, and GDP per capita as control variables. Also, with corruption as a dependent variable, we used control of corruption index (CCI) and corruption perception index (CPI) to ascertain the social media network effect on corruption reduction. This article contributes to the existing knowledge by discovering the unique role that social media knowledge plays in reducing corruption in CEE countries. The result has shown that both social media usage and CTL significantly affect corruption and its reduction. In addition, it allows us to propose some practical implications for policymakers.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50603 - Organisation theory

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 23rd European Conference on Knowledge Management, vol. I.

ISBN

978-1-914587-44-3

ISSN

2048-8963

e-ISSN

2048-8971

Number of pages

10

Pages from-to

424-433

Publisher name

Academic Conferences International Limited

Place of publication

Sonning Common

Event location

Naples

Event date

Sep 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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