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check-bib-for-predatory - Double-check your bibliography (BibTeX, bib) for predatory publishers and journals

License: MIT License

Python 100.00%
python bibtex predatory anaconda miniconda scikit-learn cosine-similarity

check-bib-for-predatory's Introduction

check-bib-for-predatory

Double-check your bibliography (BibTeX, bib) for predatory publishers and journals

Why?

In order to ensure that no articles from predatory journals or publishers are cited, the tool compares the well-known predatory journals and publishers with your bibliography (BibTeX file). The titles in your bib file are compared with the well-known titles of the predatory journals based on cosine similarity score.

Getting Started

Dependencies

Requirements

# Install 'predatory' environment from environment.yml 
$ conda env create -n predatory -f environment.yml

Minimal example

# Activate 'predatory' environment
$ conda activate predatory
$ python check-bib.py bib-file-to-be-checked.bib
[...]

# Refresh the local predatory journal cache before checking (! local cache will be overwritten)
$ python check-bib.py bib-file-to-be-checked.bib --refresh
[...]

screenshot_check_bib

Sources for predatory journals and publishers used

Possible enhancements:

Feel free to extend it.

Disclaimer

The used sources might not be complete. So in case you use this tool, make sure to use an up to date predatory journal repository.

License

This project is licensed under the terms of the MIT license - see the LICENSE file for details.

check-bib-for-predatory's People

Contributors

cfku avatar gr7ffo avatar raboom avatar

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Forkers

raboom gr7ffo

check-bib-for-predatory's Issues

Add hijacked journals from beallslist.net

Spotting hijacked journals would be interesting too, but might need a different crawler because of the different page structure. I'm not familiar with how the crawling works, so I will not do it right now.
Here is the list of hijacked journals from beallslist.

Too many newlines in cache files after crawling

Hi,
after crawling there are too many newlines in the .csv file so that reading the csv back in fails.
This is on windows, for now I have just removed them with Notepad++ manually, which is inconvenient.

Failure to handle utf8 correctly on windows

Hi,
first off, thanks for the program, it's really helpful.
Sadly, the program does not work out of the box for me because Python has a problem with character encodings. Adding "encoding="utf8"" to the open calls in lines 94 and 133 fixes it for me.

Add "source" to report

Add source of predatory journal name to index (and report), to distinguish between real and hijacked journal properly.

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