Used and loved by millions
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
bad labels
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "bad labels" is correct and usable in written English.
You can use it to describe labels that are inaccurate, misleading, or of poor quality in various contexts, such as product labeling or categorization. Example: "The bad labels on the products led to confusion among customers about their ingredients."
✓ Grammatically correct
News & Media
Science
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
4 human-written examples
Maybe we all have at some point had bad labels.
News & Media
Norris worked toward her own recovery using the "intuitive eating" philosophy, which allows you to eat unconditionally — without assigning "good" or "bad" labels to specific foods — and teaches you to listen to your body for hunger cues while using methods other than eating to honor your feelings.
News & Media
Schumer's argument is not new: bad labels have plagued not just the fashion industry, but society in general, for decades.
News & Media
Mistakeman: Everything what is going on my nerves: bad music, bad movies, bad sex, bad friends, bad food, bad parties, bad stock car races, bad graffiti, bad ambient, bad metal, bad magazines, bad fashion, bad labels, bad holidays, bad lies, bad love, bad snow, bad forests, bad 80s ties, bad girls, bad punks, bad boys, bad dogs, bad mistakers, bad bads.
News & Media
Human-verified similar examples from authoritative sources
Similar Expressions
56 human-written examples
Freak folk is not a bad label for CocoRosie, as far as labels go.
News & Media
It could spare you a lifetime of enduring a bad label.
News & Media
A bad label can prevent you from clearly identifying other problems, like warlordism and poverty.
News & Media
Bioethicists add that neuroscientists in particular need to flag up some of the social and legal issues if they are to avoid fMRI earning a bad label.
Science & Research
Writing in the Wall Street Journal, Princeton economist Alan S. Blinder calls it "The Obama-Trump Economic Boom". This may be the best bad label for what may soon become the longest economic expansion in U.S. history.
News & Media
How can a leader shake or clear his name of a bad label?
News & Media
Here, x R is a risky (or bad) label, and x NR is a non-risky (or good) label.
Expert writing Tips
Best practice
When discussing product quality, use "bad labels" to indicate inaccurate or misleading information that can confuse consumers.
Common error
Avoid using "bad labels" for subjective opinions. Instead, reserve it for situations where labels are factually incorrect or create demonstrable harm.
Source & Trust
84%
Authority and reliability
4.1/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "bad labels" functions primarily as a noun phrase modified by an adjective. It is used to describe labels that are considered to be of poor quality, inaccurate, or misleading. As Ludwig AI points out, this is a grammatically correct and usable phrase.
Frequent in
News & Media
50%
Science
30%
Formal & Business
20%
Less common in
Academia
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "bad labels" refers to labels considered inaccurate, misleading, or of poor quality. As Ludwig AI confirms, the phrase is grammatically correct and usable in English. It is most frequently found in News & Media and Science contexts. While related phrases like "inaccurate tags" and "misleading identifiers" offer more specific alternatives, ""bad labels"" serves as a general descriptor for problematic labeling across various domains. When using the phrase, it's essential to reserve it for situations where labels are factually incorrect or demonstrably harmful, avoiding overgeneralization.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
incorrect labels
Highlights the factual errors present in the labels.
inaccurate tags
Focuses on the lack of correctness in the identifiers.
faulty labeling
Focuses on the errors made during the labeling process itself.
misleading identifiers
Emphasizes the deceptive nature of the labels.
erroneous tags
Emphasizes the mistakes and untruths in the tags.
poor classifications
Highlights the low quality of the categorization system.
flawed designations
Indicates imperfections or errors in the assigned names.
unreliable classifications
Highlights the lack of trustworthiness in the classification.
substandard markings
Draws attention to the inferior quality of the markings used as labels.
defective identifiers
Indicates a fundamental flaw that makes the identifiers inadequate.
FAQs
What are some synonyms for "bad labels"?
Alternatives include "inaccurate tags", "misleading identifiers", or "poor classifications" depending on the context.
How can I use "bad labels" in a sentence about food?
You might say, "The "bad labels" on the processed foods made it difficult to determine their actual nutritional content."
Is it better to say "incorrect labels" or "bad labels"?
"Incorrect labels" is more specific and implies factual inaccuracies, while ""bad labels"" is a broader term that can encompass misleading or poorly designed labels as well.
Can "bad labels" refer to social categorizations?
Yes, ""bad labels"" can describe harmful or inaccurate stereotypes applied to individuals or groups, as seen in the context of social issues.
Editing plus AI, all in one place.
Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
84%
Authority and reliability
4.1/5
Expert rating
Real-world application tested