Welcome to Royal Road™, the home of web novels and fan fictions! In our amazing community, you can find various talented individuals who write as a hobby or even professionally, artists who create art for them, and many, many readers who provide valuable feedback and encouragement.
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I am Daniel Rusznyak (known as Kanadaj on the site), student of the University of Aberdeen, one of the developers and administrators of Royal Road Legends.
We at Royal Road Legends are constantly striving to improve our service. As a student in my final year, I've decided to use my honours project as an opportunity to start a formal research with our visitor data to improve the user experience.
Such a research requires me to explicitly ask for your permission to use your data. By opting in, you allow us to collect, store and process information automatically regarding your visits to Royal Road Legends (including your IP address, the sequence of pages visited and browser specifications).
Your personal data will be secure and will not be given away or sold to third parties; however, I may disclose anonymous summary and aggregate information as necessary for the research.
You may change your decision any time using the button in the page's footer or, if you are logged in, on your account options page. Opting in or declining will not change your current experience in any way.
For any questions you have, you may contact me via my email address ([email protected]), or find me on the site's official Discord chat.
Please read the statements below and tick the final box to confirm you have read and understood the statements and upon doing so agree to participate in the project.
I confirm that the research project Web Analytics Service for partitioned user access and insight generation via data mining methods has been explained to me. I have had the opportunity to ask questions about the project and have had these answered satisfactorily.
I consent to the material I contribute being used to generate insights for the research project Web Analytics Service for partitioned user access and insight generation via data mining methods.
I understand that my participation in this research is voluntary and optional and that I may withdraw from the study at any time.
I consent to allow the fully anonymised data to be used for future publications and other scholarly means of disseminating the findings from the research project.
I understand that the information/data acquired will be securely stored by researchers, but that appropriately anonymised data may in future be made available to others for research purposes only.