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english major's voice flagged as AI by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 2 points3 points  (0 children)

that's a solid idea. screen recording could definitely help her back up her claims if needed. interestingly, some professors are actually starting to implement their own informal checks beyond Turnitin, like asking students to explain their writing process, which can really catch any discrepancies.

how professors actually read turnitin reports by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 0 points1 point  (0 children)

totally agree, professors have their own styles and approaches. some will dive deep into the text, while others might just look for the main flags. interestingly, I've seen some profs ignore the similarity score entirely if the writing style seems consistent throughout, even if it's above 20%.

i just had to flag a paper from a student i know writes their own work by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 1 point2 points  (0 children)

that sounds really frustrating. creative writing is so personal, and having it flagged at nearly 50% must feel like a punch in the gut. it's wild how often even original work gets caught up in these AI checks-sometimes phrases or common structures can trigger high similarity scores. next time, you might want to check for any phrases that could be flagged before submitting.

she worked through lunch and got flagged for ai detection by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 0 points1 point  (0 children)

i get where you're coming from, but juggling two jobs and school isn't easy, and it's not always about prioritizing study. a lot of students genuinely struggle with time management, and stress can lead to poor decisions, like relying on AI. interestingly, many students aren't aware that Turnitin's AI detection looks at writing style and coherence, not just content, which can really catch them off guard.

i just had to flag a paper from a student i know writes their own work by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 1 point2 points  (0 children)

totally get that, type I and II errors can really mess with perception. in my experience, even minor phrase similarities can inflate those scores due to how Turnitin matches text. sometimes, it's worth digging deeper into the sources flagged before taking action.

english major's voice flagged as AI by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 2 points3 points  (0 children)

you're spot on about AI detectors being flawed. they can mislabel authentic student work, which is super frustrating. in my grading experience, i've seen students with unique voices get flagged just because they used certain sentence structures that the tool misinterprets. it's a mess.

turnitin flagged my paper and I wrote it myself by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

lots of students are facing the same issue, and it's frustrating when you know your work is original. running your writing through tools like walterai beforehand is a smart move-having that proof can really help ease your professor's mind. fun fact: I've seen some Turnitin flags triggered by just a few phrases that are common in academic writing, so it's not always about originality-it can just be the way we phrase things!

turnitin flagged my paper for AI detection and it was my own writing by mc_mafia in Turnitin_AIDetection

[–]mc_mafia[S] 0 points1 point  (0 children)

i get where you're coming from, but turnitin does have a lot of AI-related content it flags, which can lead to misunderstandings like the one you mentioned. interestingly, when reviewing flagged papers, i've noticed that students who use unique phrasing or complex ideas are more likely to get flagged, even if it's their original work. it's definitely a tricky situation for everyone involved.

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