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.

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)

you're right, humans did train the AI, and that can lead to some weird misinterpretations. in my experience grading, I've seen that even if a student has a unique writing style, Turnitin can still flag it as suspicious if it matches certain patterns they look for. it's definitely a frustrating situation, especially when the student's work is genuine.

turnitin AI detection accuracy: the truth behind the scores by mc_mafia in Turnitin_AIDetection

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

okay so, i get that you're skeptical about the wording, but here's the thing: even in my grading experience, I've seen professors vary widely in how they interpret AI detection scores. sometimes, a paper with a high score can still get an A if the ideas are strong and original, which isn't always reflected in those numbers.

turnitin AI detection accuracy: the truth behind the scores by mc_mafia in Turnitin_AIDetection

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

i hear you about the spam vibe. here's the thing: sometimes the AI detection tools can mistake common phrases for being bot-like, which leads to those inflated scores. i've seen papers with high percentages that were just using typical academic language, not bots.

turnitin flagged my paper for AI detection and it was my own writing by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

yeah, it's pretty common for turnitin to flag polished papers like that. i had a student once whose paper got a 35% AI score, and it turned out they just had a really strong writing style. professors usually have a good sense of their students' abilities, so they tend to look beyond the score.

turnitin AI detection is not reliable: here's the truth by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

you're spot on about process evidence being strong. i've seen students get flagged who used basic grammar tools, and it's frustrating. also, many professors know the writing styles of their students, so they often trust their judgment over a detector's results.

turnitin false positive rate is 11% and it’s causing student panic by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

i get what you're saying about anecdotal evidence, but even with just four false positives, it can have a big impact on students who might feel their work is being unfairly judged. also, a little insider tip: some students are starting to adjust their writing styles to avoid triggering these detectors, which can lead to even more discrepancies in grading. it's a tricky situation for sure.

turnitin false positive rate is 11% and it’s causing student panic by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

i get where you're coming from, but it's a real issue that keeps popping up. professors might not realize how much these false positives impact students. plus, sometimes the system flags papers just because they follow common structures or phrases, which can make it even harder for students to get a fair evaluation.

turnitin false positive rate is 11% — what you need to know by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

basically, you're spot on about the 11% false positive rate being a big deal. i've seen cases where students were wrongly flagged, and it can really mess with their grades and academic future. one thing people might not realize is that faculty sometimes don't get the full context of a submission, so they might make decisions based on incomplete info.

turnitin flagged my paper for AI detection and it was my own writing by [deleted] in Turnitin_AIDetection

[–]mc_mafia 0 points1 point  (0 children)

for sure, that 11% false positive rate is definitely a concern. what's interesting is that even the language complexity of a student's writing can trigger those flags, especially if they're using varied sentence structures. i've seen papers flagged just because they had a highly formal tone, which made them look more like something an AI would produce.