Evidence map›Paper›PMID 36339761›Full record

ArticleHeliyon2022

Advantageous comparison: using Twitter responses to understand similarities between cybercriminals ("Yahoo Boys") and politicians ("Yahoo men").

Suleman Lazarus, Mark Button, Afe Adogame

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
12.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 43 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Suleman LazarusMannheim Centre for Criminology, London School of Economics and Political Science (LSE), Houghton Street, London, WC2A 2AE, United Kingdom.
Mark ButtonCentre for Counter Fraud Studies at the Institute of Criminal Justice Studies, University of Portsmouth, PO1 2HY, Portsmouth, United Kingdom.
Afe AdogamePrinceton Theological Seminary, Princeton University, P.O. Box 821, 64 Mercer Street, Princeton, NJ 08542-0803, United States.
London School of Economics and Political Science · GBPrinceton Theological Seminary · USUniversity of Portsmouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is about the manifestations of similarities between two seemingly distinct groups of Nigerians: cybercriminals and politicians. Which linguistic strategies do Twitter users use to express their opinions on cybercriminals and politicians? The study undertakes a qualitative analysis of 'engaged' tweets of an elite law enforcement agency in West Africa. We analyzed and coded over 100,000 'engaged' tweets based on a component of mechanisms of moral disengagement (i.e., advantageous comparison), a linguistic device. The results reveal how respondents defend the actions of online fraudsters ("the deviant group") by strategically comparing them to the wrongful acts of corrupt politicians ("the respectable group"). Similarly, the results show how respondents positioned this linguistic strategy to compare "the powerless group" (online fraudsters) and "the powerful group" (politicians) in society. Indeed, tweet responses suggest that the Economic and Financial Crimes Commission (EFCC) generally looks downwards for culprits (i.e., online fraudsters) while ignoring fraudulent politicians. We conclude that the process by which some actions are interpreted as a crime compared to others is a moral enterprise.

Indexed as

419 fraudBusiness email compromiseCorruptionCybercrimeCyber criminologyMoral disengagement mechanismNigeriaOnline fraudPublic opinionRationalizationRomance scamSociology of devianceTweetsWest Africa

Identifiers

PMID36339761
PMCPMC9626545
OpenAlexW4306751875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.