Fraud Prevention - Science topic

I have just been bombarded with fake 'recommendations'. An 'article' was listed twice in RG, one of which lists the British Journal of Aesthetics as the publication source. I 'followed' it to read later. Within hours I received several 'recommendations', spiking quickly within a few days. I had time this morning to check out one of the 'articles' more carefully, and it even has a fake DOI. I've been asked for full texts, and approached on LinkedIn. And this morning I got an email which said that a colleague 'found me on Research Gate', and I was being asked to publish with their 'World Culture' series. And I am now stuck with a load of recommendations that are clearly questionable as the profile from which the recommendation stems has nothing to do with my research area - and is also fake or impersonating someone.

The irony is that often the most worthless answers are those that get a good number of up-votes. For a community-based approach, I suspect that we don't have a robust enough group of active members to fight the tide of up-votes for worthless or misleading answers. And I suspect the people posting questions often don't have the expertise to know which to down-vote. A viable approach is to have communities and moderators (e.g. Reddit). Or to have enough active, knowledgeable members (like e.g. https://stats.stackexchange.com/ ) to dispense with unhelpful or ill-informed answers. I'm not sure any of these approaches would work here. But I really would like the opportunity to down-vote responses that show no effort towards reading the question, reading the other responses, or giving the least consideration as to what might actually be helpful for the questioner.

One newspaper in the United Kingdom is reporting that some travelers are doctoring emails from Covid-19 testing laboratories, printing them out and simply handing them to airline staff before boarding flights.

Some Air Passengers Are Faking Negative Covid-19 Test Results, Per U.K. Reports (forbes.com)

Assuming your dependent variables are continuous, multivariate regression or path analysis would be options for you.

To be honest, after plenty of emails,  a report to the police and fews reporting on fraud-prevention websites,  they send me PayPal reimbursement 3 months later.

I agree with you that honorary authorship should not be considered within the realm of academic research because it merely recognizes individuals based on their contributions in other life aspects.

The authors who retracted a meta analysis soon after learning it included a recently retracted study think it is essential that systematic reviews should be withdrawn if retracted papers are identified

Check it..

Religious ethics prevent fraud.

Dear Dragan,

I think that political propaganda in science may come from the scientists themselves rather than from politicians. I will give an example from the past, which may lighten our answers to the important point you are raising.

I will speak about Francis Galton (1822-1911), who had been an important figure in the history of statistics (see the chapter 8 of the book from Stigler: The English breakthrough: Galton). However he developed and fought for eugenics from 1883 to the end of his life, whose intention was to touch on various topics with that of the cultivation of race, or as we may call it “eugenic” questions … He tried during the last ten years of his life to impose his view on this topic and during the first half of the twentieth century this notion had been taken by many fascists and Nazi politicians, as Mussolini and Hitler, whose racist policies lead to extremist actions.

This example may lead us to think that even notions introduced by scientists may be politically disastrous.

References

Stigler, S.M. (1986).The history of statistics. The Belknap Press of Harvard University Press: Cambridge, London.

Dear Frederick!!!

Well in Pakistan,when you get a forged currency note from ATM then you must show in front of CCTV cameras installed within ATM.  Show the note in such a way that CCTV may get its serial number noted.

After this you may claim the bank which owning that ATM and that CCTV footage will be supported document for your claim.

Further in Pakistan, State Bank of Pakistan takes measure to kill this issue by circulars issuing to banks and imposing fines if such notes are placed into TAMs

To clarify your question, I am assuming you mean the application of machine learning in "credit/debit card fraud detection" and "bank fraud detection". This problem is essentially an anomaly detection problem in machine learning. This is due to the following characteristics:

It is just the matter of obtaining features that would represent the normal pattern of usage of a legitimate user and deviation from this observed pattern would infer the possibility of a fraudulent attempt. 

The following links should make this clear.

Try this if you can find anything relevant http://www.kdnuggets.com/2015/04/awesome-public-datasets-github.html/2

I would say so, as my colleagues had pointed out. The impact of these factor on consumer's confidence might depend on their own culture, as well. 

Greetings!

Corruption has three elements: (1) discretionary power of a government officer over a decision  (2) economic rents associated with the corrupt act and (3) the likelihood that the corrupt act will remain undetected and/or unpunished. It is often  very difficult, if not impossible, to remove the discretionary power. Hence, societies which wish reduce corruption may focus on (2) and (3) above. A vast body of  empirical literature on corruption suggests that  strengthening the political institutions (e.g., independent and effective judiciary, freedom of press, strong anti-corruption legislation) is the most effective way of fighting corruption. In the short  run and at the organisational level, strong monitoring and honesty of corporate leadership are important in controlling corruption.

Dear All,

I think the biggest frauds can be found where there are the highest amounts of money. You can decide which scientific fields may be those.

I am sure that the firmness of mind, honesty that is the ethical background of an individual (a scientist) and those of a society or a characteristic group (scientists of a given field) may be determining. It is a question that the ethical rules of which one (the individual, the group or the society) will win.

Another trouble is that scientific cheaters generally were not really punished.

The third trouble is that not the simple soldiers of science commit cheating and fraud. This is an explanation why swindlers have not been called to account for their responsibility.

The main question is how can be somebody a scientist – a man/woman looking for the truth – when he/she is a swindler in other issues.

Fraud committed in former times. The biggest scientific cheaters were alchemists. Some of them were punished very hard. I feel the opportunities of an alchemist were but a joke compared with those of big potatoes of some scientific fields.