Parallel Abstracts Privacy Policy as of 05/02/2026
Definitions
"we" or "us" means "the staff of Parallel Abstracts"
"this website" means "the Parallel Abstracts website and all it's
associated content"
"you" means "any entity using this website"
"3rd party" means "any entity other than you"
"user generated content" or "UGC" means "any content created by you"
"cookies" means "small text files used to store data used by this website"
Data Collection
For safety and security purposes, we log the IP address of every entity that
visits our website. If you disagree with this practice, you may discontinue use
of our website at any time.
Some of our services require you to create an account. In order to create a new
account, we require the following additional personal information:
a username which will be publicly visible
a password which will be kept private and stored in a secure manner
a valid email address which will be kept private and used to contact you in
order to verify your email address, recover a lost password, notify you of
changes to our legal documents, and notify you of safety or security issues
regarding your account
We store UGC provided to us voluntarily in order to operate our services.
In the event that your acount gets banned due to rule violations, you still have
the right to request deletion of your personal data. However, we do reserve the
right to retain information required to uphold the ban such as your IP address.
Data Sharing
We do NOT sell personal data to 3rd parties.
We do NOT currently share personal data with 3rd parties unless required to by
law.
Cookies
When you create a new account on our website, we use a cookie to store session
data related to your account creation request.
When you log into your account on our website, we use a cookie to store session
data related to your current session.
These cookies are temporary and may be safely deleted at any time, however
deleting them will log you out of your account.
Logging into your account again will recreate the cookie for session data.
Copyright (c) 2026-2026 by
Parallel Abstracts. All rights reserved.