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.
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http://dx.doi.org/10.1016/j.heliyon.2022.e11142 | DOI Listing |
Front Res Metr Anal
December 2024
University of California Cooperative Extension, Davis, CA, United States.
The proliferation of AI-powered bots and sophisticated fraudsters poses a significant threat to the integrity of scientific studies reliant on online surveys across diverse disciplines, including health, social, environmental and political sciences. We found a substantial decline in usable responses from online surveys from 75 to 10% in recent years due to survey fraud. Monetary incentives attract sophisticated fraudsters capable of mimicking genuine open-ended responses and verifying information submitted months prior, showcasing the advanced capabilities of online survey fraud today.
View Article and Find Full Text PDFAppl Nurs Res
December 2024
School of Nursing, University of Minnesota Twin Cities, United States of America. Electronic address:
Background: Online recruitment is cost efficient and can reach large sample size. It helps protect participants' privacy and confidentiality and is commonly used in research studies with sensitive topics and hard-to-reach target participants. However, widespread fraudulent responses along with missing data and multiple entries add complication to the data cleaning and analysis.
View Article and Find Full Text PDFMethodsX
June 2024
Symbiosis Centre for Applied Artificial Intelligence, Symbiosis Institute of Technology, Symbiosis International Deemed University Maharashtra, Pune 412115, India.
The banking sector's shift from traditional physical locations to digital channels has offered customers unprecedented convenience and increased the risk of fraud for customers and institutions alike. In this study, we discuss the pressing need for robust fraud detection & prevention systems in the context of evolving technological environments. We introduce a graph-based machine learning model that is specifically designed to detect fraudulent activity in various types of banking operations, such as credit card transactions, debit card transactions, and online banking transactions.
View Article and Find Full Text PDFInt J Eat Disord
June 2024
Centre for Research in Eating and Weight Disorders (CREW), Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Objective: Fraudulent participation is an escalating concern for online clinical trials and research studies and can have a significant negative impact on findings. We aim to shed light on the risk and to provide practical recommendations for detecting and managing such instances.
Methods: The FREED-Mobile (FREED-M) study is an online, randomized controlled feasibility trial to assess a digital early intervention for young people (aged 16-25) in England or Wales with eating problems.
PLOS Glob Public Health
August 2023
Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Web-based survey data collection has become increasingly popular, and limitations on in-person data collection during the COVID-19 pandemic have fueled this growth. However, the anonymity of the online environment increases the risk of fraudulent responses provided by bots or those who complete surveys to receive incentives, a major risk to data integrity. As part of a study of COVID-19 and the return to in-person school, we implemented a web-based survey of parents in Maryland between December 2021 and July 2022.
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