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Inauthentic text

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180:. Their work explains in detail an attempt to detect inauthentic texts and identify pernicious problems of inauthentic texts in cyberspace. The site has a means of submitting text that assesses, based on supervised learning, whether a corpus is inauthentic or not. Many users have submitted incorrect types of data and have correspondingly commented on the scores. This application is meant for a specific kind of data; therefore, submitting, say, an email, will not return a meaningful score. 25: 164:
With the amount of computer generated text outpacing the ability of people to humans to curate it, there needs some means of distinguishing between the two. Yet automated approaches to determining absolutely whether a text is authentic or not face intrinsic challenges of semantics.
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is a computer-generated expository document meant to appear as genuine, but which is actually meaningless. Frequently they are created in order to be intermixed with genuine documents and thus manipulate the results of search engines, as with
173:" giving an example of grammatically-correct, but semantically incoherent sentence; some will point out that in certain contexts one could give this sentence (or any phrase) meaning. 161:
to a conference, where they were initially accepted. This led the students to claim that the bar for submissions was too low.
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Sometimes nonsensical documents are created with computer assistance for humorous effect, as with
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The first group to use the expression in this regard can be found below from
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by giving the spam the superficial characteristics of legitimate text.
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students submitted papers generated by a computer program called
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Index


cite
sources
improve this article
adding citations to reliable sources
removed
"Inauthentic text"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
Spam blogs
spam filters
Dissociated press
Flarf poetry
MIT
SCIgen
Noam Chomsky
Colorless green ideas sleep furiously
Indiana University
Scraper site
Spamdexing
Stochastic parrot
An Inauthentic Paper Detector
Indiana University
Categories
Scientific misconduct
Machine learning

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