Questions related to Fraud
It is the trending topic for a publisher this week.
I want to learn the opinion of Academia members. Is it due to environmental factors or personal over-ambition?
Why does anyone commit fraud?
I am looking for a prediction of fraud in a company that would result in a percentage of the likelihood fraud could occur using both continuous and dichotomous independent variables. I am not looking for a binary regression with fraud or no-fraud as my dependent variable; the dependent would be a range in terms of percentage of fraud occurring in a company. Thank you.
I’m collecting survey data for for my Masters dissertation. I want to know whether remote working creates an opportunity for occupational fraud by measuring employees perceived effectiveness of their internal controls. Is this a prediction?
One of the main differences between Financial Audit and Forensic Audit is that the Financial Audit gives the guarantee that the financial statements that have been checked are true and fair and are reasonable whereas, Forensic Audit helps to analyze and investigate a certain set of transaction, if any fraud has been occurred.
The goal of this project is to set the record straight as much focus have been on the Financial Audit as the Fraud Detector.
The questions are: 1. Who then is the Fraud Detector, a Financial Auditor or a Forensic Auditor?
2. Why are Financial Auditors liable if failed in their audit duty to detect fraud within an organization?
For example, in supply chain or diagnostic, what is the importance of outlier or anomaly detection?
Difficult question, esp where scientists face persecution and harassment for whistle-blowing.
Could we have a Global body to report infringements to? A body with the power to investigate and prosecute?
when make a study of corporate frauds and crimes , one notices always that corruption takes place when when one faces threat of punishment due to non compliance’s of laws .In india Satyam , Enron or ILFS are examples of corporate crimes arising out of non compliance’s .
Manipulations of metrics take many forms, with new ones likely to emerge, but they all share some key traits because of the nature of the object they target: impact.
Editors increase their journal’s impact factor by entering into co-citation agreements with other journal editors, which involves having the authors of one journal cite articles from the colluding journal; some universities invite their faculty to cite each other to help improve the institution’s rankings; and other universities pay productive scholars from other institutions. The presence of fake collaborators also facilitates the publication and visibility of article thanks to the institutional brands they are associated with.
- Bibliometrics, Scientometrics and Informetrics were introduced in twentieth century (later some others). Those years had their values, behaviors and characteristics in the world of higher education. Fraud, misconduct, data fabrication, plagiarism, were not so wide spread as they are now. In recent years we were introduced terms such as gift or ghost in authorship.
- But we are still using old methods (in new forms) in metric studies E.g. Scientometrics to say who is who in science, or where is where in science... In the age of virtual worlds available to everyone, everywhere, even the meaning of "publish or perish" has changed. Many universities around the globe not only put pressure on their faculty members but also many incentives in different forms, such as cash, to publish more and more... Too many authors have become addicted to see their works published at any costs. They show off their published works, citations, … and "ordinary Scientometrics" with any given names, descriptive or analytic in nature up to now help them. All appear to become "Soft Power" and "Matthew Effect" for those who might not deserve. We have to move to something "Interpretive", "Inferential" or the like to find out or pull back the curtain (please see also my other 2 discussions, related to this one).
Is this publication real or is it more of an academic scam? The image below is the text of the email sent to me by the publisher please guide me?
Interestingly, this email did not go to the spam folder. This email also has a professional signature; So that it contains postal address, telephone number, website address, etc. I was a little excited at first, but then I started searching on Google. Searching the Persian web, I found two types of news about these publications: I found some news in which it was proudly announced that Master So-and-so's book had been published in English by Lambert International Publications in Germany. Another piece of news was a message of congratulations and gratitude on a large banner on one of the city billboards. Meanwhile, two or three people wrote articles against Lambert Publications, calling them a form of academic fraud and warning others in their blogs and posts not to fall into the trap of these publications.
My research topic is " Detecting Motor Insurance Fraud Claims Using Machine Learning". I need to get more literature review and how the researches have been done.
We all know that it is considered academic fraud to publish faked results. What is the punishment for this?
Where to report author or publication?
On three accounts, the rapid growth in cryptocurrency is comparable to a ponzi scheme. People invest into these because they expect good returns. There is no identified source of generating revenue on the investment. A Ponzi scheme is an investment fraud that pays existing investors with funds collected from new investors. The Ponzi scheme organizers often promise to invest your money and generate high returns with little or no risk. ... Instead, they use it to pay those who invested earlier and may keep some for themselves.
Cryptocurrencies are essentially digital currencies that are not issued by any central authority and depend on the users of the currency for their validation. The validation is recorded on the Blockchain which is there for everyone to see. Since the currency is decentralized, there is no geopolitics involved. Since the transactions are publicly available, implementing counterfeit transactions is extremely difficult. Since the entire system is encrypted using cryptographic protocols, the transactions are secure. Most importantly, they are easily convertible into USD at the moment. Most “serious” cryptocurrencies, like Bitcoin, are limited in number protecting against inflation. Cryptocurrencies have been the darling of fin-tech observers since 2013 and we are presently in the midst of a cryptocurrency bubble with prices of every kind of cryptocurrency shooting through the roof.
I am trying to figure out whether language can help in avoiding the frauds in online shopping particularly in Pakistan, It has become a common practice in Pakistan that the sellers are doing frauds by not sending the ordered stuff rather they send low quality or used stuff and then block the buyer.I am trying to analyse the language of these sellers that they use in ads. or in communication with the buyer , whether it shows any similarity or any particular pattern. That might help people to understand not to buy from such sellers. My query is that, is my work relevant to forensic linguists in any way? if yes, which method of analysis should i acquire for my research?
Asma Saif Ullah
Recently, upon searching on Google, I found out that one of my research paper is published in Journal of Geography and natural disasters in longdom publication; I have never submitted my paper to them. I asked my Professor Dr Abdulmohsin Imqam, and He is also unware of the submission. Still our research is published on there current issue as short communication. I emailed them to remove the article and got no response. Please suggest me any ideas to file this fraud case and put this wrongdoers behind bars?
Starting my dissertation proposal and I find myself all over the show.. I need advice and mentorship. Anyone willing to read and provide an honest opinion?
I'm searching for dataset with fraudulent transactions from banking activities. I would like to apply some ML algorithms for purposes of my PHD researches.
Hello, if you can suggest me a research idea in the emirical part of my doctoral thesis, with the FINANCIAL-ACCOUNTING INFORMATION SYSTEM - AN ESSENTIAL SOURCE IN DETECTING AND COMBATING TAX FRAUD. Thank you very much!
Hello every one, I wanted to know is there any specific source for the papers on specific category. I am looking for the papers related to online credit card frauds in bank transactions, but I get papers in general related to credit card fraud but not specific to the banking. so any one can guide me what I can do to read papers related with online credit card frauds in bank transactions?
I have tried to search for the dataset for the credit card fraud. I have observed that in most of the papers only one of the kaggle dataset has been used. So I want to know from where I can search or find the dataset related with online credit card fraud in bank transactions? It would be great if I can get help on these?
I am conducting a study on the effectiveness of AI towards detecting and averting digital payment fraud. What are the popular AI techniques being adopted in mitigating digital fraud and how could it be enhanced for better results.
ith the development of Internet technology, online examination has become more Polar because it helps people save a great deal of energy and time. As an effective and efficient method of teaching and learning, online search fraud can be prevented and the integrity of examination results can be guaranteed. A good examination system should be developed based on real study needs. What Features Should an Online Exam System Include?
The recent US presidential election has seen president Donald Trump accused of fraud by Democrats? Do you think the U.S. election was really fair?
Forensic accountants and auditors are the people who analyse and examine the financial statements and records of the organisation in order to detect fraud and clear any allegations of fraud .
what are the strategies to perform hypothesis testing in internal control and fraud detection with the use of cognitive learning AI or RPC technology?
Where can we find the publicly available data source without necessary bias on particular company data (which may involve privacy etc)?
To identify a financial fraud, e.g. money laundry, AI deployment is not new. Given a large dataset, many machine learning techniques can identify patterns to help to identify these rare events.
Is it possible for some crime lords with bottomless resources to deploy an AI to outsmart the Anti-Fraud-AI (in short: AFAI)? In fact, this is quite easy to answer. The simplest solution would be to flood the financial transaction database with fake positives. An Anti-Anti-Fraud AI (in short: AAFAI) would first identify some fraud patterns, which are most likely identified by the AFAI, then do millions of fake transactions with similar patterns. Other solutions may exist as well.
So what should (or would) an AAAFAI do? and of course, an AAAAFAI do? can this continue infinitely?
Despite of having several law in force across countries, corporate frauds continue to occur. Even IT and ITES have come in a bigger way to support the industries, still frauds occur. Where is the remedy then?
Today, I was searching my paper. I was completely shocked. This paper was based on my Master of Engineering thesis.
Journal Paper - Thermodynamics and Adsorption Behaviour of the Nano Phases in the Bi-Sn System
I am seeing two name in this paper - 1. Trisza Ray 2. Sandigdha Acharya
Both the people have done fraud case with my paper. Original author is me i.e. Tanay Ray and other author is Sibasis Acharya.
DOI: · 10.1166/jctn.2005.116
I'm using autoencoder to detect anomalies in my dataset
I used normal dataset for training and detect anomalies on fraud+normal dataset
As I observed so far, autoencoder performed the best at an optimal training dataset size, the ROC, PR AUC went low when the size of the training dataset is too big? Is this because of overfitting?
Please refer to the attached photo below
Thanks in advance!
Ethereum is an open-source, blockchain-based, decentralized software platform used for its own cryptocurrency, ether. It enables SmartContracts and Distributed Applications (ĐApps) to be built and run without any downtime, fraud, control, or interference from a third party.
Medical fraud is not uncommon. But committing fraud during the times of crisis when you could lose your own life to a deadly disease is unprecedented in the history of medicine.
The recent controversy (Two Huge Covid-19 Studies Are Retracted After Scientists Sound Alarms, New York Times, June 4) has once again revealed an ugly aspect of medical profession, and has already put the world’s two “largest democracies” and the two “most revered” medical journals (NEJM and Lancet) to shame.
Why did reputed medical scientists become dishonest at a time when there was a 'more than ever' need to be more truthful and upright?
Were they only driven by their ambitions for more recognition? Or there is some truth in the allegations that “Big Pharma” were the real actors behind the scenes?
And confirmed Zwicky 1929 as a genius for discovering the mechanism.
And exposed CERN as risking earth and using fraud to camouflage this fact.
No one in science or Stockholm objects. One calls this a “conspiracy theory,” albeit a true one for once.
Turning 80 this month, I can afford being fearless and benevolent, combined.
May 4, 2020
P.S.: Please, tell me if I am an idiot.
I'm looking to create a data set for all known cases of Corporate Fraud (Financial Statement Fraud in particular) for the purposes of training Data and Machine Learning Fraud Detection Models. If there are any official or reliable sources that you know of that list such companies with the time period in which such fraud too place, please do let me know.
Hope you are all well and safe. I am currently conducting a research study to explore the impact of coronavirus on the tourism sector including fraud risk in this sector. Could you please fill in the survey below? If you could pass the survey link to your friends, family, and colleagues, I’d be very grateful. Many thanks in advance for your help :)
HIQ is the best name for it, composed out of HI and IQ. "HI" means "I am laughing" in the language of hams (radio amateurs) that I acquired 63 years ago. And IQ (for "I quit") stands for where people start non-answering further questions posed to them by psychologists.
But to be serious: The brightest man in the history of science, Fritz Zwicky 1929, proved that there was no Big Bang and no cosmic expansion. But even though he later-on was proven to in this way have first discovered the new fundamental-physics discipline of Cryodynamics, sister of deterministic Thermodynamics, no scientist on earth is currently ready to support his name in the context of cosmology.
This would not matter very much apart from letting the Nobel committee look a bit old, had his result not simultaneously proven true the fact that CERN's famous LHC experiment is betting earth against reason for 12 years in a row. As CERN itself leaves loudly undenied, by the way, since its latest planetary safety report LSAG from early 2008 carries no date. I called this fact CERNGATE but no one appears to get the point.
But fraud is, of course, infinitely more harmless than a collective inability to understand. Right?
Feb. 20, 2020
The last planetary safety report LSAG (for “Large-Hadron-Collider Safety Assessment Group”) of CERN’s stems from early 2008 but carries no date to look recent. This fraud is called CERNGATE in the literature.
Is there no way to alert a single institution or government to the danger thereby accepted by CERN?
CERNGATE can also be called CERNCORONA in spite of its being 50 times more dangerous.
Which institution on earth has the clout to withhold this scandal from the public and from Assange and Greta’s eyes?
Feb. 21, 2020
While doing a research on a subject in social sciences; which of the approaches makes it more reasonable to base the research on one theory, based on more than one theory separately, and examine it by integrating more than one theory? What can be advantages and disadvantages of them?
For example when investigating insurance fraud; the fraud behavior can be related with personality theories, social learning theories, ethical theories or social cognitive theories.
I amworking on a project named Financial Frauds and its impact on macroeconomic stability of a country. i get confused in finding the financial frauds data
In his experience, which political systems are more prone to fraud within the public administration as a state activity. Please back up your reasons. All opinions will be well received. Thank you.
There are currently just over 2,400 billionaires and 15 million millionaires worldwide. Never before has there been more money and financial activity in the history of mankind. Emerging economic powers that provide multipolarity to the global economic axis. Intense and multiple global networks for the exchange of goods, resources and services. A culture of consumption that increasingly encompasses more nations. Do these conditions encourage greater intent and financial fraud actions? I appreciate your opinion on the subject.
I would like to know what are the methods used in your country to detect and study financial fraud activities in public administration management. Thanks for your opinion.
Currently working on Fraud detection for Motor Insurance Claims. How many minimum fraud cases should be there in order to get reasonable AI model.
1. if data size is 5000 samples
2. if data size is 0.1 Million
3. if data size is 1 million.
is there any percentage of based on the size of data?
I want to know that is there any relationship can be established between fraud in digital finance and profit of the company.
or we can say that impact of fraud on the net profit.
I am studying about ripening of honey which is practiced naturally in beehives. I then encountered a new term "Artificial ripening of honey". I am not getting any information about this on review/research papers and other websites. Kindly help in this regard. What is artificial ripening of honey? Is it a fraud or way of adulteration or standard practice in beekeeping?
in the context of voluntary disclosure , how can we discover the personality of fraud manger ? what are the main characteristics of the personality of the fraud manager, how provide false informations
Whistle blowing can be a very important tool for dealing with fraud. However, whistle blowing comes with many challenges.
Can internal auditors blow the whistle on fraud?
Can external auditors blow the whistle on fraud aside expressing the opinion on financial statements?
Are there legal restrictions for whistle blowing by auditors?
I would be very grateful if you could contribute to these questions.
Hi there! I'm looking for someone who can help me better understand nonprofits and how they file their taxes. It's for an ongoing research. Preferably someone who is nationally known on this topic through research or practice, and someone who knows how nonprofit taxes are filed, common reporting errors, common fraud, etc. Could be more than one person. Thanks!
I am tried to figure out the ways to label the click logs from the advertising log data for ad-fraud detection. Label are Fraud, not fraud.
One way which comes to my mind is rule-based meaning i manually analyze few 100 records and accuse them of being fraud if certain conditions met!
Secondly i could use clustering algos, i tried it but couldn't get it right because i have mixed categorical and numeric data (i tried K-means and K-medoids) but data is very sparse and categorical features tends to expand over time while using one-hot encoding).
Any idea to label the data automatically/algorithmically?
I am getting unusual requests to accept " a peer review" from "journals" I never interacted with previously.
Could such emails be actually a fraud or phishing email?
How to identify a legitimate peer review request?
Some people believe that the Islamic banks' contracts practice injustice by doing the following:
- weaken trust, solidarity and compassion among people
- Increase fraud and jealousy.
- Increases distrust in markets.
- Increase the methods of fraud and deception.
Companies receive daily account statements from their many bank accounts.
The debit / credit transactions that appear on each statement reflect their economic activity and
include information such as the payment / collection method (check,
transfer, ...), the "counterparty" (the payee or originator: suppliers, employees,
customers, ...). These data are conventionally used for accounting or
"Reconciliation" (identification) with prediction. However, for my understanding, those data represent a deposit of
data that can be used for analytical purposes, including:
-For the purposes of combating fraud: to identify atypical payments (by raising, frequency), receipts from unauthorized companies or individuals, ...
-For compliance purposes, to identify unauthorized expense natures based on words predefined key.
-For the purpose of identifying specific transactions; example: search for transactions that represent maturities of the same loan, and which are therefore similar to the exception possibly the date and the amount (but with the same reference, description, ...).
My concern is: How to do it? what kind for algorithm can be better to apply? I think about classification with clustering or random forest but I don't know if it can work. At the end, the system must be capable according to data of companies and bank, say that there is error somewhere( if there is really a error) and this must be accessible with companies and bank . It also difficult to get articles, paper about it.
Hi everyone, i conducted a questionnaire of 22 likert scale questions to measure the impact of accounting ethics on accounting fraud, after collecting the data i got the mean for each set of questions that represent an independent variable. my question is now how to compute the dependent variable which is accounting fraud through the answers of the 22 questions using spss ?
Is it possible to help me with similar sources or research for the purpose of completing my research projects on the development of electronic payment control systems to reduce fraud and fraud?
Forensic accounting is used for fraud examination and fraud examination, and to understand the depth and width of the financial scams happening in any economy. The objective of initiating this discussion is to understand the significance of forensic accounting in Corporate Finance.
Recently I discovered that my colleagues from the laboratory I was working in, published three different papers without my name as an author. I performed the experiment, take care of the animals, was working on the whole thing (analysis included) for months as well as anyone else. I even got the money to renovate the lab, but got fired from the head if lab. I was too busy solving my existential problems to notice that, and finally left the country. What would you do?
I am wondering if using group discussion to support statistical results of quantitative research method can be an adequate technique in sensitive topics such as fraud, corruption, etc. ?
Recently, I have gone through an article in a prestigious journal where most of the figures representing the main theme is manipulated. Do I need to provide any data from my side to claim the fraud?
Abstract:The part of the higher education sector in the UK in which providers are not publicly-funded (including for-profit, not-for-profit and charitable) has been expanding considerably under Government encouragement. This paper aims to clarify the practical and public policy issues now emerging, by tracing the history of the emergence of this policy in the wider context of trends in higher education policy in the UK, and with reference to the changes brought about by devolving higher education to the 'devolved administrations' of Scotland and Wales. It examines the claims made by alternative provider lobbyists that they will be able to provide something for students which would be different and better. It looks at the mounting evidence, including the findings of the Quality Assurance Agency, the National Audit Office and the Public Accounts Committee, that a number of alternative providers were guilty of bad practice and even fraud in taking advantage of the availability of Student Loan Company funding for their students. The penultimate section describes the attempt by a small group of alternative providers to form an organisation for leaders of the sector and to dissociate themselves from these trends and emerging problems. The article concludes with the implications of the White Paper, Success as a Knowledge Economy, and the Higher Education and Research Bill, both published in May 2016 for the risks and implications of this significant proposed reconstruction of the system of UK higher education.
Assume that to get the data of a variable “direct victimization of crime” respondents will be asked below questions with yes/no options. After collecting the data from these items how can this data be assembled to measure a variable direct victimization of crime.
For the sake of question, I am here giving you the examples of questions which would be asked to measure direct victimization of crime, and options for answers are yes/no
Within the past year, were you or any family member a victim of the Stolen goods/belongings from car?
Within the past year, were you or any family member a victim of the vehicle theft?
Within the past year, were you or any family member a victim of the Burglary into house?
Within the past year, were you or any family member a victim of the mugging?
Within the past year, were you or any family member a victim of the fraud?
Within the past year, were you or any family member a victim of the Computer (internet) crimes?
And what if options are given in Likert scale rather than yes/no option.
Thanks and Regards
What do you think causes the phenomenon of economic fraud against the elderly? Why are they more likely to be victims of fraud? It would be nice if you could base your opinion by referring me to good articles on the subject.
I am interested to gather Grounded Theory definitions of the above four concepts. By Grounded Theory definition, I mean the definition/ description/interpretation of the above concepts (or any of the above concepts) based upon your real experience. That means you will have to explain the context/experience/observation that gives rise to your unique interpretation.
Context is important, (Personal/Professional), while maintaining ethical anonymity of course.
Thank you very much for your participation in the discussion.
A t the moment I'm developing ML based model for the prediction frauds. But, I have a small issue on feature selection for the my proposed model (Fraud Prediction).I have gone through Several articles and tools to get the best features that describes the model more accurately.
- Weka > Select attribute
- Scikitlearn > sklearn.feature_selection
- Scikitlearn > forest.feature_importances_
Unfortunately non of packages offers bench mark or rule of thumb to select best features that describe the model. I would be appreciate that if you could kindly let me know the best mechanise/method to identify best feature which I could use for the prediction model.
How is it that despite the global economic crisis as a consequence to the practice of neo-liberal policy prescriptions, despite the turn-around in the globalization of the free markets with new protectionist policies being promoted by the United States, Europe, China and India, the discipline of Economics as it is taught in class rooms, continues to be dominated by Neo-Classical Micro-Economics, Monetarist & New Classical Macro-Economics and the free-radical Financial economics? Is it not high time that we promoted heterodox approaches in economics and thought a fresh on more appropriate and relevant analytical frameworks in the contemporary context instead of harping on neo-liberal ideology substituting for knowledge?
I am working on the effects of bank related fraud on the net worth of banks in different country with a few to compare the seriousness of regulators in combating the scourge.
I know that the issue is hard. Let us try to be very careful not to offend other people, try not to mention the names as much as it will be possible; certainly avoid people who are around on RG; and let us discuss just the methods. So let us discuss the problem apart from the RG and just in principle. Let us try to examine when political propaganda intervenes in science and what are their methods.
Therefore the essential point is the discrepancy between facts and the interpretation of the facts in science under influence of politics, or :
What are the methods of political propaganda in science, scientific media and scientific communication? How to protect science from politics?
This may concern opposing some scientific concept by using political action or inverse: the opposing some political orientation by using fallacious scientific methods. Using science is very effective to persuade the masses and can be easily dissimulated. The important aspect of the propaganda method is to imply the conclusions and to avoid establishing links with the discussed facts.
As far as I know, we had on RG at least 2 such threads: during the last elections in the US (trying to discredit Donald Trump), and one recent and still running - on plagiarism (trying to damage certain Serbian politicians). There are certainly some others of which I am not aware.
The common feature of such attempts is to focus the discussion on some personality and to avoid clarification of the facts and insist on some more general aspects, structural or contextual aspects, persuasions or general principle without establishing the links with the discussed facts. Number of logical fallacies are used and none of them is specific for those discussions.
May be we should concentrate on relation of the political propaganda and science, morality of publishing, and scientific and political paradigms vs. empirical facts.
Or, the essential point is that since politics is often blind for the facts, the question is how deep politics reaches into science?
Recently, many of capital market authorities (e.g. New York Stock Exchange; Malaysian Securities Commission) require listed companies to establish internal audit function, as result of preceding corporate fraud (e.g. Enron). In practices, this function is performed either by company's employees or by external provider (other than the company's external auditor). Therefore, I will be grateful if you can state whether listed companies in your country (or other countries based in your knowledge) are required to have entirely in-house IAF or optional (entirely in-house, entirely out-sourced or co-sourced). Thank you.