New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[PRE REVIEW]: Detecting Fraud in Online Surveys by Tracing, Scoring, and Visualizing IP Addresses #1211

Open
whedon opened this Issue Jan 28, 2019 · 13 comments

Comments

Projects
None yet
6 participants
@whedon
Copy link
Collaborator

whedon commented Jan 28, 2019

Submitting author: @pdwaggoner (Philip D. Waggoner)
Repository: https://github.com/MAHDLab/rIP
Version: v1.1.1
Editor: Pending
Reviewer: Pending

Author instructions

Thanks for submitting your paper to JOSS @pdwaggoner. The JOSS editor Pending, will work with you on this issue to find a reviewer for your submission before creating the main review issue.

@pdwaggoner if you have any suggestions for potential reviewers then please mention them here in this thread. In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission.

Editor instructions

The JOSS submission bot @whedon is here to help you find and assign reviewers and start the main review. To find out what @whedon can do for you type:

@whedon commands

@whedon whedon added the pre-review label Jan 28, 2019

@whedon

This comment has been minimized.

Copy link
Collaborator

whedon commented Jan 28, 2019

Hello human, I'm @whedon, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@whedon commands

What happens now?

This submission is currently in a pre-review state which means we are waiting for an editor to be assigned and for them to find some reviewers for your submission. This may take anything between a few hours to a couple of weeks. Thanks for your patience 😸

You can help the editor by looking at this list of potential reviewers to identify individuals who might be able to review your submission (please start at the bottom of the list). Also, feel free to suggest individuals who are not on this list by mentioning their GitHub handles here.

@whedon

This comment has been minimized.

Copy link
Collaborator

whedon commented Jan 28, 2019

Attempting PDF compilation. Reticulating splines etc...

@whedon whedon added R TeX labels Jan 28, 2019

@whedon

This comment has been minimized.

Copy link
Collaborator

whedon commented Jan 28, 2019

@arfon

This comment has been minimized.

Copy link
Member

arfon commented Jan 28, 2019

Message from the submitting author:

Our paper details our recent R package, which detects fraud in online surveys by tracing, scoring, and visualizing IP addresses, after cleaning IP data. In our previous submission, @arfon (rightly) noted the package was in the "minor utility" category. As a response, we have worked to significantly expand the package functionality as well as including a variety of cleaning and plotting tools, all with the goal of making survey research more efficient and reproducible. Our package is very important for practical research that uses online surveys, from marketing to political science, and many other fields. Thank you for considering.

@pdwaggoner

This comment has been minimized.

Copy link
Collaborator

pdwaggoner commented Jan 28, 2019

Hi - many thanks for considering our paper! We recommend either @RMHogervorst or @alexhanna as reviewers, though we are certainly open to your thoughts on it as well. Many thanks again and let us know whatever else you need in the process.

@danielskatz

This comment has been minimized.

Copy link
Collaborator

danielskatz commented Jan 28, 2019

👋 @jasonclark, @cMadan, @arokem - would one of you be willing to edit this submission?

@cMadan

This comment has been minimized.

Copy link
Member

cMadan commented Jan 29, 2019

@danielskatz I don't use R, sorry!

@danielskatz

This comment has been minimized.

Copy link
Collaborator

danielskatz commented Jan 29, 2019

👋 @jasonclark, @arokem - would one of you be willing to edit this submission?

@danielskatz

This comment has been minimized.

Copy link
Collaborator

danielskatz commented Feb 1, 2019

👋 @jasonclark, @arokem - ping... would one of you be willing to edit this submission?

@pdwaggoner

This comment has been minimized.

Copy link
Collaborator

pdwaggoner commented Feb 7, 2019

Hi @danielskatz - I have some suggested reviewers if these don't work out. Let me know if you would like to invite someone else to take a look. Happy to help how I can.

@danielskatz

This comment has been minimized.

Copy link
Collaborator

danielskatz commented Feb 7, 2019

Please suggest reviewers here - and I'll keep trying to get an editor lined up. Having suggestions will help the editor.

@pdwaggoner

This comment has been minimized.

Copy link
Collaborator

pdwaggoner commented Feb 7, 2019

Awesome - this is copied and pasted from my note above: We recommend either @RMHogervorst or @alexhanna as reviewers, though we are certainly open to your thoughts on it as well. Many thanks again and let us know whatever else you need in the process.

@kyleniemeyer

This comment has been minimized.

Copy link
Collaborator

kyleniemeyer commented Feb 7, 2019

@yochannah would you be able to edit this?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment