Does social media reduce corruption?

Jha, Chandan Kumar; Sarangi, Sudipta

doi:10.1016/j.infoecopol.2017.04.001

Cited by 87 publications

(65 citation statements)

References 34 publications

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“…The dependent variable is the level of violent crime from the Qualitative assessment by the EIU analysts'estimates while the data on Facebook penetration (which is a proxy of social media usage) is from Quintly, which is a social media benchmarking and analytics Solution Company 2 .This data on social media is consistent with recent literature on the consequences of social media on development outcomes (Jha and Sarangi, 2017;Jha and Kodila-Tedika, 2018;Kodila-Tedika, 2018). Such confirms the authenticity of our source of data on Facebook penetration.…”

Section: Datasupporting

confidence: 78%

Crime and social media

Asongu

Nwachukwu

Orim

et al. 2019

ITP

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Purpose The purpose of this paper is to complement the scant macroeconomic literature on the development outcomes of social media by examining the relationship between Facebook penetration and violent crime levels in a cross-section of 148 countries for the year 2012. Design/methodology/approach The empirical evidence is based on ordinary least squares (OLS), Tobit and quantile regressions. In order to respond to policy concerns on the limited evidence on the consequences of social media in developing countries, the data set is disaggregated into regions and income levels. The decomposition by income levels included: low income, lower middle income, upper middle income and high income. The corresponding regions include: Europe and Central Asia, East Asia and the Pacific, Middle East and North Africa (MENA), Sub-Saharan Africa and Latin America. Findings From OLS and Tobit regressions, there is a negative relationship between Facebook penetration and crime. However, quantile regressions reveal that the established negative relationship is noticeable exclusively in the 90th crime quantile. Further, when the data set is decomposed into regions and income levels, the negative relationship is evident in the MENA while a positive relationship is confirmed for Sub-Saharan Africa. Policy implications are discussed. Originality/value Studies on the development outcomes of social media are sparse because of a lack of reliable macroeconomic data on social media. This study primarily complemented three existing studies that have leveraged on a newly available data set on Facebook.

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Section: Datasupporting

confidence: 78%

Crime and social media

Asongu

Nwachukwu

Orim

et al. 2019

ITP

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“…The Facebook data is from "Quintly" which is a social media benchmarking and analytics Solution Company 2 . The data has been used in recent Facebook literature on the consequences of social media, notably:Jha and Sarangi (2017),Jha and Kodila-Tedika (2019),Kodila-Tedika (2018) and Odhiambo (2019a, 2019b).…”

mentioning

confidence: 99%

Homicide and social media: Global empirical evidence

Asongu

Uduji

Okolo‐Obasi

2019

Technology in Society

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This study investigates the relationship between social media and homicide in a cross section of 148 countries for the year 2012. The empirical evidence is based on Ordinary Least Squares, Tobit and Quantile regressions. The findings from Ordinary Least Squares and Tobit regressions show a negative relationship between Facebook penetration and the homicide rate.The negative relationship is driven by the 75 th quantile of the conditional distribution of the homicide rate. The negative nexus is also driven by upper middle income countries and "Europe and Central Asia". Three main implications are apparent when the findings are compared and contrasted. First, established findings from OLS and Tobit regressions are driven by countries with above-median levels of homicide. Second, such above-median countries are largely associated with upper middle income countries and nations in "Europe and Central Asia". Third, modelling the relationship between Facebook penetration and homicide at the conditional mean of homicide may be misleading unless it is contingent on initial levels of homicide and tailored differently across income levels and regions of the world.

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“…Hannum proposes replicating the study "Does social media reduce corruption?" by Jha and Sarangi (2017). Using data provided by the authors, Hannum first would check whether he can produce results identical to those of the original study.…”

Section: _________________________mentioning

confidence: 99%

Takeaways from the Special Issue on The Practice of Replication

Reed

2019

Economics

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In July 2017, Economics: The Open Access, Open Assessment E-Journal issued a call for papers for a special issue on "The Practice of Replication." In that call, the journal explained that there was no generally accepted procedure for how to do a replication. Likewise, there was no generally accepted standard for determining whether a replication "confirms or disconfirms" an original study. Accordingly, the journal called for papers to identify principles for how to do a replication and how to interpret its results; and to apply those principles in crafting a replication plan for a study of the author's choosing. The hope was that this exercise would produce some progress on "the practice of replication." The special issue is now complete with a total of eight journal articles. This commentary places the respective articles within a common framework and identifies observations and lessons learned from the respective studies.

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Does social media reduce corruption?

Cited by 87 publications

References 34 publications

Crime and social media

Crime and social media

Homicide and social media: Global empirical evidence

Takeaways from the Special Issue on The Practice of Replication

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