NewsFlow
A research study on personalised news recommendations
Information Sheet

Jheronimus Academy of Data Science (JADS), a collaboration between Eindhoven University of Technology (TU/e) and Tilburg University, invites you to take part in this research project. This study is conducted as part of a Research-in-Action course and MSc thesis project at JADS. The aim is to investigate how people interact with and experience personalised news recommendation systems. The study takes approximately 15 to 20 minutes. To participate you must be 18 years of age or older.

Your participation is completely voluntary and does not pose any physical, legal, or economic risks. You are not obliged to answer questions you are uncomfortable with and you can withdraw at any time without explaining why. Declining or withdrawing will not have any negative consequences for you.

Who are we?
Data controllerEindhoven University of Technology (TU/e), De Groene Loper 3, 5612 AE Eindhoven
ResearcherFehmican Aydemir — f.aydemir@student.tue.nl
SupervisorsDr. Martijn Willemsen (TU/e / JADS) — m.c.willemsen@tue.nl
Jasmin Kareem (JADS) — j.kareem@tue.nl
Privacyprivacy@tue.nl
Data Protection Officerdataprotectionofficer@tue.nl
What will taking part involve?
  • A short background questionnaire about you and your news reading habits
  • Selecting your news topics of interest
  • Browsing a personalised news feed for approximately 5 minutes
  • A post-task questionnaire about your experience
  • A full explanation of the study design will be provided before your data is submitted
What personal data do we collect?
Demographic data Age, gender, education level — used to describe the study sample
News habits Reading frequency and preferences — used as control variables
Behavioural logs Article clicks and reading time during the session — used to test research hypotheses
Survey responses Your ratings and opinions about the experience — primary outcome measures
Session identifier A random code with no link to your identity — links behavioural data to survey responses

We do not collect your name, email address, or IP address. All data is pseudonymous from the moment of collection. Data is retained for 10 years after the research is complete, after which it will be deleted or fully anonymised. Data is stored on a GDPR-compliant EU server (Hetzner Cloud, Germany).

Your rights

You have the right to request access to, rectification of, objection to, or erasure of your personal data. For questions or complaints contact the researcher at f.aydemir@student.tue.nl or the TU/e Data Protection Officer at dataprotectionofficer@tue.nl. You may also file a complaint with the Dutch Data Protection Authority: Autoriteit Persoonsgegevens (www.autoriteitpersoonsgegevens.nl).

TU/e processes your personal data to conduct scientific research, which is the university's public task as stated in Article 1.3 of the Dutch Wet Hoger onderwijs en Wetenschappelijk onderzoek.

Consent
A few quick questions
About you. Takes about 1 minute.
years old
What do you like to read?
Select all topics that interest you. Pick at least 3.
Select at least 3 topics to continue
Quick warm-up
Which of these would you normally click on? Select any that interest you.
Please select at least 10 articles you would genuinely read. The more you select, the more personalised and accurate your recommendations will be. Aim for 15 or more if possible.
You're almost ready
Please read carefully before starting
01
You will see a personalised news feed built from your interests. Browse the articles as you would normally read news.
02
Click "Read article" on articles that interest you. Try to read at least 3-5 articles.
03
Please spend at least 5 minutes browsing. A timer will show your progress at the top.
Almost done
Please answer these questions about your experience
About your reading habits

Please indicate how much you agree with the statements below. There are no right or wrong answers. We are interested in your honest experience.

About the recommender
Your experience
Understanding the recommendations
Your influence on the feed
About the articles recommended to you
A few quick questions about your browsing session
A few final questions
Open feedback
Before we finish
Please read the following carefully
What this study was really about

This study investigated how explanations and user control in news recommendation systems affect perceived transparency, perceived agency, trust, and satisfaction.

The study used a 2x2 experimental design with four versions of the news feed differing in whether explanations and history control were present. You were randomly assigned to one of these versions. We could not tell you this beforehand because knowing the purpose might have influenced your responses.

Your participation helps us understand how to design more transparent and trustworthy AI-powered news systems. This research is part of a Research-in-Action course and MSc thesis project at JADS, TU/e and Tilburg University.

Retrospective consent

Now that you know the full purpose of this study, we ask for your consent to use your responses in our research. You are free to withdraw your data. This will have no negative consequences for you.

Thank you! 🎉
Your responses have been recorded
Your completion code

Please save this code as proof of participation.

If you wish to withdraw your consent and have your data deleted at a later point, please send an email to f.aydemir@student.tue.nl with your completion code as reference. We will delete your data within 30 days.

Data deleted
Your responses have been removed

Your data has been deleted and will not be used in this research. Thank you for your time.

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