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submitted 21 hours ago by [email protected] to c/[email protected]

Without paywall: https://archive.ph/D7SOU

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submitted 1 week ago by [email protected] to c/[email protected]

The journal reports an "ISI impact factor".[9] This impact factor is not from the Institute for Scientific Information (ISI) or its successor Clarivate, but from a company named International Scientific Indexing.[10][11]

The journal was listed in the updated Beall's List of potential predatory open-access journals.[1] It has been criticized for sending out email spam to scientists, calling out for papers for the journal.[6]

In March 2020, the journal published the fake research paper "Cyllage City COVID-19 outbreak linked to Zubat consumption". The paper blamed a fictional creature for an outbreak of Covid-19 in a fictional city, cited fictional references (including one from author Bruce Wayne in a made-up journal named "Gotham Forensics Quarterly" on using bats to fight crime), and was cowritten by fictional authors such as Pokémon’s Nurse Joy and House, MD.[14] The author was a scientist from National Taiwan University, who acted under a pseudonym.[2] Four days after submission the paper was accepted for publication. Since the line in the article “a journal publishing this paper does not practice peer review and must therefore be predatory” was not objected to, the submitting author concluded that the paper had not been reviewed at all.[15] The paper was later removed as the author did not pay the publication fees.[2]

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133
submitted 2 weeks ago by [email protected] to c/[email protected]

Without paywall: https://archive.ph/kvyEW

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51
submitted 3 weeks ago by [email protected] to c/[email protected]

Without paywall: https://archive.ph/oSsH5

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10
submitted 3 weeks ago by [email protected] to c/[email protected]

Without paywall: https://archive.ph/FOUFm

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submitted 3 weeks ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]
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The Software Heritage Archive (archive.softwareheritage.org)
submitted 1 month ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]

Boo hiss. Hopefully it gets moved, but just in case, grab one of the forks.

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submitted 1 month ago* (last edited 1 month ago) by [email protected] to c/[email protected]

Without paywall: https://archive.ph/WXtQa

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submitted 1 month ago* (last edited 1 month ago) by [email protected] to c/[email protected]

Without paywall: https://archive.ph/uFGsq

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34
submitted 1 month ago by [email protected] to c/[email protected]
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58
submitted 1 month ago by [email protected] to c/[email protected]

Currently studying for an exam tomorrow, and I now realize why I'm always so sleepy in class: the prof. speaks sooo sloowllyy with pauses - in-between - most words. I can't keep focused because of that; thankfully, he has narrated powerpoints that I can download and watch... at 3x normal speed. Which is nice because a 37 minute video is now 12 minutes, but goddamn it makes classes so rough.

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submitted 1 month ago by [email protected] to c/[email protected]
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28
submitted 1 month ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]
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52
submitted 1 month ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]

The use of ChatGPT and similar Large Language Model (LLM) tools in scholarly communication and academic publishing has been widely discussed since they became easily accessible to a general audience in late 2022. This study uses keywords known to be disproportionately present in LLM-generated text to provide an overall estimate for the prevalence of LLM-assisted writing in the scholarly literature. For the publishing year 2023, it is found that several of those keywords show a distinctive and disproportionate increase in their prevalence, individually and in combination. It is estimated that at least 60,000 papers (slightly over 1% of all articles) were LLM-assisted, though this number could be extended and refined by analysis of other characteristics of the papers or by identification of further indicative keywords.

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submitted 1 month ago by [email protected] to c/[email protected]
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7
submitted 1 month ago by [email protected] to c/[email protected]

Without paywall: https://archive.ph/a61fM

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submitted 1 month ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]

Without paywall: https://archive.ph/Vf47N

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submitted 1 month ago by [email protected] to c/[email protected]
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submitted 1 month ago by [email protected] to c/[email protected]
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