u/Character_Ball6746

Has anyone else started overediting their own writing after reading too much formal content?

Lately I’ve noticed something odd with my writing habits.

The more academic papers, polished blog posts, and professional articles I read, the harder it becomes to tell whether my own writing still sounds natural. I’ll reread a paragraph five times and keep changing tiny things that probably didn’t even need fixing in the first place.

What makes it frustrating is that the grammar itself is usually fine. The issue is more that certain sentences start feeling “off” even when they technically work. Sometimes the wording feels too stiff, other times too repetitive, and after a while I can’t even tell if I’m improving the draft or just making it worse.

Recently I started experimenting with a more structured editing process instead of endlessly rereading everything manually. One thing that surprisingly helped was seeing how writing patterns show up during analysis rather than only checking for grammar mistakes. It made repeated sentence structures and awkward phrasing much easier to notice.

Still trying to figure out where the balance is between clean writing and overediting though.

Curious if anyone else here has gone through this phase where you become overly aware of every sentence you write.

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u/Character_Ball6746 — 2 days ago

why is paraphrasing still such a hard problem for both humans and models?

while learning programming lately ive been noticing something interesting when reading documentation and tutorials

even if i fully understand a concept, the moment i try to explain it again in my own words, my explanation still ends up following alot of the same structure as the source material

sometimes i change the wording completely but the flow of the explanation still feels almost identical

what made this more interesting to me is that language models seem to struggle with the exact same thing

they either stay too close to the original phrasing or change things so aggressively that the actual meaning starts drifting

from a learning perspective it makes sense because alot of technical explanations already follow similar logical patterns, especially in programming docs where clarity matters more than style

but from an ml perspective it also feels like current training objectives probably dont capture “true originality” very well beyond surface level variation

curious how other people here think about this

is this mostly a data and training issue, or is paraphrasing fundamentally harder than it first appears once meaning preservation becomes important?

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u/Character_Ball6746 — 8 days ago

i realized most of my phd writing problems werent actually about research quality

lately ive noticed something frustrating about my workflow

when i get feedback on drafts now, its usually not about the research itself anymore

my supervisor generally agrees the ideas are solid, but i keep getting comments about clarity, awkward phrasing, weak transitions between sections, or arguments that somehow feel harder to follow on paper than they did in my head

the weird part is i often cant see the issue while writing

when i reread my own work everything feels logical and clear in the moment, but after feedback i suddenly realize entire sections were more confusing than i thought

for a while i treated this like a productivity issue

i thought maybe i just needed more editing passes, better focus sessions, or stricter writing routines

but now im starting to think the bigger problem is actually visibility

its hard to improve writing when you cant really see your own patterns objectively while youre inside the draft

I've been trying quetext as a simpler way to analyze my drafts lately but still figuring out if it actually helps reveal the weak spots consistently.

what helped a little was seeing feedback outside normal proofreading, especially around similarity patterns, sentence structure repetition, and places where phrasing felt more artificial than clear

still experimenting with this whole process, but it honestly changed how i think about phd writing productivity

less about producing more words and more about understanding what your writing is actually doing on the page

curious if anyone else here went through something similar where the bottleneck wasnt research quality, but clarity and self-awareness while writing

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u/Character_Ball6746 — 12 days ago

Do others notice their academic writing starting to reflect what they read more than expected?

I'm curious if this is something others in academia experience, especially when doing a lot of reading in a narrow field

when I'm deep into papers, articles, and books for research, I sometimes notice that my own writing starts to pick up similar sentence flow or structure from what ive been reading

Not direct copying, but more like the rhythm and phrasing gradually starts to feel influenced in a way that's hard to fully separate from my own wording

it becomes more noticeable when i'm writing literature reviews or synthesis sections, since i'm constantly moving between multiple sources at once

I usually don't think about it while reading, but once i start drafting, i can see traces of the material i was exposed to showing up in how i construct sentences

I've been trying qսеtехt as a simpler way to review sections before finalizing drafts just to spot repeated patterns more clearly, but still figuring out whether it actually changes anything or just makes me more aware of it

I'm wondering if this is generally considered a normal side effect of heavy reading in a field, or if others actively notice and manage this in their own writing process

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u/Character_Ball6746 — 13 days ago

At what point does heavy reading start affecting your own academic writing style?

Phd student in a STEM field here (US university), currently spending most of my time rotating between paper reading, drafting sections, and revising research writing

something ive been noticing lately is that after reading enough papers in the same niche for long stretches, it becomes strangely hard to tell what parts of my writing style actually feel like "me" anymore vs what im unconsciously absorbing from everything around me

not talking about copying ideas or anything like that, more the structure and phrasing side of things

for example, after spending days inside highly technical literature, i notice my own writing starts drifting toward the same sentence rhythm and framing patterns even when im explaining concepts i fully understand independently

ive tried slowing down revisions and separating reading from drafting time which helps a little, but i still catch myself overanalyzing whether certain sections sound too influenced by the material ive been immersed in recently

recently ive also been experimenting with more structured draft review before finalizing sections using qսеtех, mostly just to get another layer of distance from my own writing habits, and its been interesting seeing how repetitive certain patterns become once you actually look for them

curious whether this is something people naturally grow out of with experience, or if developing a distinct academic voice is always partly shaped by whatever literature youre surrounded by most heavily

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u/Character_Ball6746 — 15 days ago

 I’m at the stage where most of my feedback is no longer about ideas, but about writing quality itself.

Supervisors and reviewers usually agree the research direction is fine, but the same comments keep appearing like unclear phrasing, weak flow between sections, and sentences that feel harder to follow than they should be.

The frustrating part is that these issues are not obvious grammar mistakes. If I read my own draft, everything feels correct in the moment, but when someone else reads it, they pick up problems I completely missed.

I’ve tried slowing down editing, rewriting sections, and reading more papers in my field to absorb academic tone. It helps, but the same patterns still repeat.

Recently I started adding a more structured check before finalizing drafts. Instead of only manual proofreading, I run sections through tools that highlight originality issues and also flag unclear or AI-like phrasing. One of the tools I experimented with in this process was quetext, mainly for spotting patterns in writing that don’t show up during normal reading.

What I noticed is that it’s less about detecting problems and more about seeing how my writing behaves under analysis. That made it easier to spot repeated habits in sentence structure and clarity.

Still figuring it out, but it feels closer to understanding the issue than just doing another round of proofreading.

Curious how others at PhD level handle this gap between strong research and weak clarity in writing?

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u/Character_Ball6746 — 25 days ago
▲ 128 r/FuckGoogle+2 crossposts

Over the past several months, multiple scammers have been submitting dozens and dozens of fraudulent legal complaints with Google targeting journalist Andrew Drummond’s blog after his investigative series into “Night Wish Group” about their various crimes and sex trafficking of minors in Pattaya, Thailand.

This was made easier by Google’s decision a few years ago to “automate” the processing of legal complaints, largely due to the demands that Germany and the E.U. placed on Google to expedite them. Now these fraudsters simply create dozens of fake Google accounts, and continually report Andrew Drummond’s blog as DMCA violations, CSAM, malware, and other sorts of GDPR and “illegal content” complaints.

As soon as one complaint is rejected they simply file another one. And because of Europe’s regulations, Google does not even verify the complainant’s identity first. Also, Google now allows fraudulent legal complaints in e.g. Germany or Thailand to affect search results across the entire world even though they say they don’t, so even if you’re in the US trying to research about his reporting you won’t be able to find anything unless you check Yandex.

If you search “Andrew Drummond journalist” or “Andrew Drummond Thailand” right now you will see his entire website doesn’t show up at all…

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u/Character_Ball6746 — 26 days ago

I have been working on an idea on the side for a while and recently reached the point where I am considering starting development.

Earlier I was focused mostly on features, but after stepping back and reworking the idea more carefully, I realized I had not properly defined the problem or the user. I spent some time restructuring everything and even used some frameworks from the book I have an app idea to make sure the foundation made sense.

Now I feel more confident about the direction, but this is my first time actually building something like this.

I am deciding between trying to build it myself or hiring someone experienced. I am leaning toward hiring because I would rather not learn through expensive mistakes at this stage.

For developers here

What are the biggest mistakes you see first time founders make when they move into development

At what point is it worth hiring versus building a rough version yourself

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u/Character_Ball6746 — 29 days ago