Early testers described NewsUnfold as intuitive, innovative, and effective at encouraging deeper reading. Users praised the highlights and UI but noted mobile bugs, feedback-flow friction, and occasional disagreement with bias detection.Early testers described NewsUnfold as intuitive, innovative, and effective at encouraging deeper reading. Users praised the highlights and UI but noted mobile bugs, feedback-flow friction, and occasional disagreement with bias detection.

NewsUnfold Scores High on Ease of Use as Testers Call for Smoother Feedback Flow

  1. Abstract and Introduction
  2. Related Work
  3. Feedback Mechanisms
  4. The NewsUnfold Platform
  5. Results
  6. Discussion
  7. Conclusion
  8. Acknowledgments and References

A. Feedback Mechanism Study Texts

B. Detailed UX Survey Results for NewsUnfold

C. Material Bias and Demographics of Feedback Mechanism Study

D. Additional Screenshots

\

B. Detailed UX Survey Results for NewsUnfold

How did you like NewsUnfold? (10 responses) Six participants expressed a strongly positive sentiment, stating, for instance, that they found it innovative. Two expressed that the bias detection might need some calibration, one found it ”okay”, and one remained unsure.

\ Ease of Use: How easy was NewsUnfold to use? (13 responses) Participants were asked to rate the ease of use of NewsUnfold on a 10-point scale, with 10 indicating high ease of use. The average rating for ease of use was 8.46, with a median score of 9, implying that users found NewsUnfold user-friendly and intuitive.

\ How did NewsUnfold impact your reading? (12 responses) 6 participants stated it made them read more carefully, critically, and slowly instead of skimming. Two stated bias was easier to recognize because they had to think twice. One said they did more active thinking about what bias is. One didn’t feel much impact in unbiased articles. One wanted it in all of their browsing. One said it made them argue with the AI instead of skimming the article.

\ How did you feel about giving feedback on the sentences? (11 responses) Three participants found it easy to give feedback, while two reported it felt either difficult because it disrupted their reading flow or because it felt like a chore. Two participants felt unsure, with one skipping the tutorial. Two reported only doing it when they would have more time. One stated only to give feedback when disagreeing with the classification. One participant appreciated sharing their reasoning in the free-text field 3.

\ How do you feel about the highlights in the text? (10 responses) Nine participants liked the highlights and found them helpful, one calling it their favorite part. However, one participant found it distracting and raised concerns about highlighting quotes as biased.

\ Net Promoter Score (NPS): How likely would you recommend NewsUnfold to a friend, family, or colleague? (13 responses) The calculated mean NPS was 6.23. This score indicates participants were neutral to slightly in favor of recommending NewsUnfold.

\ How do you like the User Interface of NewsUnfold? (11 responses) 9 participants found it easy and clean, with one stating the ”look is sleek and appropriate for a modern website”. One participant experienced a bug using Firefox on mobile and described it as a ”bit sluggish.” One participant found the UI ”a bit bland.”

\ What irritated you? Did you encounter any problems? (10 responses) Bugs and irritations included the character limit in the free-text field , the multiple steps in the feedback window on mobile devices, overlays blocking the text on Firefox mobile, out-of-line tooltips, and encountering jumping buttons. One person expressed a slight annoyance in instances they disagreed with the classifier. One per- son was confused because they skipped the tutorial. Two didn’t encounter problems.

\ Anything else you want to share with us? (1 response) One participant suggested that it might be interesting to add a note indicating that direct quotes are more likely to be biased and may not necessarily reflect the opinions of the authors.

\ \

C. Material Bias and Demographics of Feedback Mechanism Study

\ Figure 8: Education of participants mapped to their age in the feedback mechanism study.

\ Figure 9: English proficiency of participants in the feedback mechanism study

\ Table 4: OLS Regression Results for F1 Score of the NewsUnfold Feedback

\ Table 5: Bias rating of sentences in feedback mechanism study articles by classifier and experts.

\ Figure 10: News consumption habits of participants in the feedback mechanism study.

\ Figure 11: Political orientation of participants in the feedback mechanism study.

\ Figure 12: Average political orientation of participants in the feedback mechanism study.

\ \

D Additional Screenshots

\ Figure 13: Screenshot of the highlight mechanism on the study platform for the preliminary feedback mechanism study

\ \ \ Figure 14: Screenshot of Articles Overview Page with the option to start the tutorial. Table 2 explains the elements with yellow numbers.

\ \ \ Figure 15: NewsUnfold Article View. Table 2 explains the elements with yellow numbers.

\ \ \ Figure 16: Screenshot of recommended articles and button to the UX survey. Table 2 explains the elements with yellow numbers.

\ \ \ Figure 17: Screenshot of the landing page with an introduction to NewsUnfold’s goal.

\ \ \ \

:::info Authors:

(1) Smi Hinterreiter;

(2) Martin Wessel;

(3) Fabian Schliski;

(4) Isao Echizen;

(5) Marc Erich Latoschik;

(6) Timo Spinde.

:::


:::info This paper is available on arxiv under CC0 1.0 license.

:::

\

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