Plagiarism Detection Puns

It would be interesting to see if they've lifted passages from worldly publications.

What are the best tools to use for detecting plagiarism?

Is there a way to find out if someone is using AI generated content?

Hi everyone,

So, just a month ago, we were shocked by the plagiarism alarm:

>the article “Momentum residual neural networks” by Michael Sander, Pierre Ablin, Mathieu Blondel and Gabriel Peyré, published at the ICML conference in 2021, hereafter referred to as “Paper A”, has been plagiarized by the paper “m-RevNet: Deep Reversible Neural Networks with Momentum” by Duo Li and Shang-Hua Gao, accepted for publication at the ICCV conference, hereinafter referred to as “Paper B”.

Today, I found out that our paper (still in conference review) is also severely plagiarized by: "Minghao Gao, Hailun Zhang (1), Yige Yan (2) ((1) Beijing Institute of Technology, (2) Hohai University)

• Our paper: Improve Object Detection by Label Assignment Distillation. https://arxiv.org/abs/2108.10520
• Their paper: Label Assignment Distillation for Object Detection, https://arxiv.org/abs/2109.07843

Our paper was first submitted to the conference on Jun 9 2021, and we upload to Arxiv on Aug 24 2021. We show the proof of plagiarism in our Open Github: https://github.com/cybercore-co-ltd/CoLAD_paper/blob/master/PlagiarismClaim/README.md

Updated: The issue is resolved. Thanks all for your help, especially zyl1024 and Jianfeng Wang wjfwzzc (the Author of original NIPS version draft). We want to close this post, and go back to our normal work. Hope this can serve as a reference should you encounter this problem in the future.

Updated 2: The official emails between me and Jianfeng Wang can be found at:

https://github.com/cybercore-co-ltd/CoLAD_paper/blob/master/PlagiarismClaim/ConfirmLetter.pdf

Best Regard !!!

I’m a university student looking to write a paper I know little to nothing about due to not doing any work for a class, and I have a fairly short deadline. I’m able to write something myself, but I’m basically rewording an existing chapter from a book. I am not copying and pasting, but I know that TurnItIn can detect structurally similarities and/or unlikely similar positioning of words. Does anyone know a) how likely TurnItIn would be at detecting rewording but similar structureb) how I can get past this, or c) how I can use a method myself to ensure that plagiarism detection won’t pick this up?

So if every combination of text exists in the library then it should be submitted to the online plagiarism detection tools (looking at you turn it in) as it will cause every single assignment from now until infinity to generate matches

Whatever this means: https://act.utoronto.ca/pdt-change/

Does anyone know what are the state-of-the-art models or algorithms for plagiarism detection?

I'm also curious if BERT (or other Transformer architectures) is being used for plagiarism detection, or if it hasn't yet been able to perform any better than the previous methods.

Hello again UIUC Subreddit,

My name's Erik and I'm a Freshman at Miami University who's been doing extensive research and advocacy related to remote proctoring companies. Specifically Proctorio, who has been trying to silence me through the use of DMCA takedowns to remove my tweets.

If you've been following this subreddit, you might remember my post from about 3 months ago on the documents related to UIUC's "Emergency" purchase of Proctorio remote proctoring services. Well, if I'm interpreting what I've found today correctly, their "emergency" one-year contract with Proctorio is just the beginning, and not just for UIUC.

Today I saw on the Illinois Procurement Bulletin that IPHEC (Illinois Public Higher Education Cooperative) had chosen and awarded the winning bids for their request for online proctoring and anti-plagiarism software proposals: RFP #IPHEC2106

If you didn't already know, IPHEC is the cooperative that represents EVERY public four year university in Illinois. More information and member institutions can be found on their website: iphec.org

If you're unfamiliar with how the procurement process works (I'm no expert) in simple terms, universities or IPHEC put up criteria and companies can present their proposals to the school or organization to fulfill the request.

So, Proctorio and Ouriginal submitted proposals and were awarded the winning bids of an estimated $22,000,000 each for a 5 year contract, with the potential future renewal of $25,000,000 each. Yes, you're reading that right. $44,000,000 upfront for 5 years of various surveillance software.

Right now, there's not much information regarding the specifics of contracts, or the contents of the proposals, but I'll post as soon as there is. However, even without those specifics, you can draw your own conclusions, opinions, and predictions as to what this means for the future of public higher education in Illinois if they're willing to pour this much money into it.

This contract/bid isn't necessarily 100% final yet as far as I can tell. The website states "The University award process may be delayed up to thirty days as this award goes through a state approval process." so, there might be a way to protest the bid. It is possible the

Hello. Does anyone know an (at least partly) simple algorithm for plagiarism detection? Please send me the link if you know one. My own idea is to use the Levenshtein distance but I don't know in what interval its value should be to say that the sample text is rather a copy of the reference text (I mean it is a revised text, not a text which has a very high level of plagiarism.) Another thing I wanted to use (of course I don't know if it's correct or not) was to count the number of common words of the two texts. If this number is greater than or equal to 3/4 of the number of words of the reference text then the sample text is a copy but if it is between 1/4 and 3/4 then it is a revised text (ie not having a high level of copy.) Can anybody help? Thanks.

Because they don't work for me. Just got a 80-85% similarity and got disqualified for my finals because my code was similar to the random person in class who I've never talked before my entire life.

No internet copypaste as well. Just me and myself.

I even don't think it is possible to cheat for this code.

No way he finds out my code, I typed in notepad pasted to the system.

Edit: Code was 60lines long and only getter setter program structure extends and implements stuff with no working parts, like.... reserveSeat() {Sout("Seat reserved")}

Hello! I was wondering if anyone could recommend a thorough (and ideally free) way to check student work for plagiarism.

I am currently grading a student’s exam where it is very obvious that most of it is not his own voice. Through Google searching of individual sentences, I’ve found bits and pieces that he clearly just ever so slightly reworded to claim as his own while also avoiding detection through software. However, I was wondering if there is a more efficient way to do this? I tried things like Grammarly and Chegg and neither picked up on it.

Thank you so much in advance for any help or insight you can offer.

The CollegeBoard's claim it has "Plagiarism detection software" is a lie.

Since they are allowing users to submit photos, they would have to run photos through text recognition software in order to extract plain text that could be used in plagiarism detection software. If everyone submitted photos with the same format, this would be possible for them to do. However, since everyone submits varied documents with different lighting, different paper (lined, graph, loose leaf), and handwriting, this is impossible for them.

Additionally, in many exams such as AP Calculus, it is normal to write unusual symbols such as the integral symbol which is not supported in most text recognition solutions.

I ran my AP Calculus exam through amazon's AI text recognition software and this is all it got.

I very much doubt they have the ability to implement a better algorithm than amazon, so it is likely "plagiarism detection software" is a sham.

You can honestly probably get away with straight up copying word for word.

I plan to accept guest posting on my blog in the coming weeks.

However, I have one concern: how should I make sure that posts submitted by guest writers are not copied from existing articles on the internet, either partially or wholly? In other words, a submitted post can contain copied paragraphs or the whole post is copied.

Has this been an issue for you, and what tools did you use to solve it?

Sure, I can copy/paste each paragraph into Google to check, but this is cumbersome. I'd like something more automated.

Two students submit same Pdf file as assignments where only their names are different in those pdf files . Will Google's plagiarism checker be able to find it or any other extension service .. etc ?? Are there any other website for detecting plagiarism of this kind ?

Hello!

I took a plagiarism detection project for my diploma project. The problem is that I don't really have experience with NLP, machine learning, and python (I took the introduction course made by Andrew Ng and only that). How to start? I have approximately 8 months to do the project.

Anyone have any favorites or recommendations before I start digging myself? We are in full remote on Google using Classroom only.

-We are fully remote until Labor Day -Our largest district in the state went remote until January last night -I know this situation feels safer -I'm not complaining! -Hope everyone is able to stay safe!

Like the title says, I'm considering a plagiarism detection website that would email you when a plagiarized version of your story was found. It would use a text fuzzy-matching algorithm to catch any instances where the majority of the text is untouched, but only small details were changed to try and "avoid" plagiarizing.

But, since you all would be the users (and myself), what would you want feature-wise in a site like this?

Here's my plans so far after some technical feasibility research:

• Retrieve YouTube subtitles to use for matching narrations

• Scrape from common hot spots of plagiarism such as specific tumblr accounts, creepy pasta wikis, etc. (Not Facebook yet, I'm afraid)

• Allow authors to submit new websites/accounts/YouTube channels for searching, subject to manual approval

• A login for authors to copy in and store titles, reddit usernames, and text of the stories they want to check for plagiarism on

• Email alerts when a plagiarized version is detected

• A listing page after logging in to show all locations where plagiarism of one of your stories has been found

• The ability to mark those listings as not actually plagiarized to help train for false detection

• The ability to mark a listing as having permission to be there

• The ability to mark a listing as having sent a take-down request

• The ability to mark a listing as having been removed

• A reporting page to see common domains that have plagiarized a lot and response times on take-downs for specific domains (future feature)

• It would look like shit until someone could volunteer to skin it, I'm not a designer.

I haven't started yet, because I need all the details before I can properly scope the technical needs here. If all goes according to the plan I've scoped so far, it will cost as little as $10 a month to actually run the service, which I could personally finance since I'd also be getting a benefit from it. I'm not committing to completing this, just getting a feel for what people would need out of something like this.

What do you think? Are there other features you'd potentially like to see in a project like this?

^(This message was brought to you by being personally stolen from, and the influx of posts here about plagiarizing imbeciles.)

I am trying to develop an assignment submission portal accompanied with plagiarism detection as my final year project for my bachelors. It is a web-based system. Content needs to be checked for plagiarism with other submissions and also from internet. I have a year to complete this project.

The problem is my programming skills are very low. I am not confident in my developing skills at all. But I am ready to dedicate my time and energy to learn everything to work on this project for this year. Therefore I want to know where should I start to work on. At what programming languages should I focus on more. What are the resources I should refer to. I did some google searches and results came up of that, the plagiarism part can be done with python. What do you guys think about and what is your advice on this? Would love to get some advice from you guys.

How will CB do this? I bet there’s no way CB has the technology to accurately digitize all of our handwritings and AP readers would not be able to detect plagiarism either.

I was working on a cs assignment with some friends at the library. I left a while for washroom and I'm pretty sure some of them looked at my private questions ( the ones you are not allowed to discuss) and might have used my test cases. Will I get charged for plagiarism by the test program if like 3 of my friends have 1 or 2 of the same test cases with me?

I’m a Junior and have had plenty of code ran through the MOSS system but I was wondering, How well does MOSS work in identifying plagiarism/similarities in code?

Trying to find Free, Libre and Open Source software (FLOSS) for plagiarism detection, I was shocked by the extent of ignorance among some academics. A basic google search returns a huge number of researchgate and quora pages asking for FLOSS options, while a bunch of freemium spyware have been suggested instead. Not only it is sad that many don't know the difference between FLOSS and freemium, but it is also disappointing to see the open-source community hasn't done much for this issue.

Here I'm going to list what I have found so far:

• Sherlock - Plagiarism Detection (GitHub repo for the original C implementation, and the Department of Computer Science, University of Warwick) for the new improved version implemented in Java
• Plagiarism-Checker for text and Open Software Plagiarism Checker (OSPC) for code, both developed by Archit Shukla (arthurzaczek)
• WCopyfind
• JPlag repository and website, whitepaper
• There is also Moss which is not open source but the methods are publicly available from scientific publications.
• Black Duck
• Whizzygeeks plagiarism checker pro
• software and text similarity tester (SIM)

It's not much but all I could find. I would appreciate it if you could also mention if you know anything else.

P.S.1. relative post regarding Free and Open source spell and grammar checking software here and here

P.S.2. If this post is archived and you want to comment on it you can contact me here on Twitter.

Hello,

I am trying to build a classifier that will detect plagiarism in programming assignment submissions using NLP. I am looking for the dataset, which I can use to train my model. Any help would be greatly appreciated.

Thanks.

Open-source software can be so useful. My institution uses TurnItIn for the big stuff, but sometimes its the inter-student plagiarism that needs to be detected rather than the google/wikipedia plagiarism. For years I've just relied on my memory, but today in a fit of irritation at yet another pair of duplicate lab reports, I decided there must be a better way.

https://www.reddit.com/r/opensource/comments/8xgldr/any_freeopensource_software_for_plagiarism/ pointed me to sherlock, which is incredibly self-contained (single c file). Added 30 lines of home-brew python script to call pdftotext on a directory containing PDFs (and other documents to be ignored), and I now have a simple plagiarism detector.

CMV: In order to discourage academic students from plagiarizing essays, code, etc., the academic students should be allowed to run their own essays and code through plagiarism detection software such as Turnitin, MOSS, Diff, etc. before submitting their work.

Students only cheat if they believe that there is a small chance that they may get away with cheating. No student would cheat if they knew they would have a 100% chance of getting caught.

The submission program should also have an option to auto-reject and essay / piece of code that is suspected of plagiarism in the first place.

Preventing cheating is better than catching and punishing cheating.

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Also, change the letter I to the number 1.

In short, is there something I can use for free that'll address previously turned in papers by students rather than academic works? I'm doing a group project and it's pretty clear that one member just copied & pasted a ton of stuff from old papers. The rest of us are stressed out about it, but have no idea where to go (and unfortunately the professor is of the mindset that it's our responsibility to take care of this as a group, so contacting them is arguably even detrimental). It's not just a paragraph or so; we're talking 15 pages of stuff here.

I figure something that could provide hard proof that he's recycling material would be the best approach before confronting him on it.

Just curious if the cse department uses a plagiarism detection software for labs and projects. A friend and i were reviewing code before a midterm (a week after we had already submitted the assignment) and the codes were eerily similar. We didn't work on it together but I'm just curious if the graders use some kind of software to compare code.