Draft:Fraud software

Submission declined on 27 June 2025 by MCE89 (talk).

Your draft shows signs of having been generated by a large language model, such as ChatGPT. Their outputs usually have multiple issues that prevent them from meeting our guidelines on writing articles. These include:

Promotional tone, editorializing and other words to watch
Vague, generic, and speculative statements extrapolated from similar subjects
Essay-like writing
Hallucinations (plausible-sounding, but false information) and non-existent references
Close paraphrasing

Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.

If you would like to continue working on the submission, click on the "Edit" tab at the top of the window.
If you have not resolved the issues listed above, your draft will be declined again and potentially deleted.
If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors.
Please do not remove reviewer comments or this notice until the submission is accepted.

Where to get help

If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews.
If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed.

How to improve a draft

Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia.
Help:Wikitext – how to use the markup
Help:Referencing for beginners – how to include references
Wikipedia:Article development – how to develop your article
Wikipedia:Writing better articles – how to improve your article
Wikipedia:Verifiability – make sure your article includes reliable third-party sources

You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article.

Improving your odds of a speedy review

To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags.

Add tags to your draft

Editor resources

Easy tools: Citation bot (help) | Advanced: Fix bare URLs

Declined by MCE89 3 days ago. Last edited 0 seconds ago. Reviewer: Inform author.

Once you save your changes using the "Publish changes" button below, you will be able to resubmit your draft for review by pressing the "Resubmit" button that will appear here.

Comment: None of these sources exist as described. MCE89 (talk) 14:58, 27 June 2025 (UTC)

Fraud detection software is a category of digital tools that help detect, analyze, and prevent fraudulent activities across financial, corporate, and research domains. These systems utilize statistical methods, machine learning, and behavioral models to identify irregularities that may indicate deception or manipulation.^[1]

^ Mosimann, J. E., et al. (2009). Statistical methods for assessing possible fraud in scientific publications. Computers in Biology and Medicine.

[Mosimann2009-1] Mosimann, J. E., et al. (2009). Statistical methods for assessing possible fraud in scientific publications. Computers in Biology and Medicine.

[1]