Not Too Long, Not Too Short: Goldilocks Principle of 'Optimal' Reflection Time on Online Deliberation Platforms

TL;DR

This paper investigates how reflection time influences deliberative quality on online platforms when users craft minute-scale comments. Using two user studies, it identifies a Goldilocks-like optimal reflection window—around four minutes—for maximising deliberativeness, and shows that longer reflection yields diminishing returns. It then tests four interface-based time nudges to promote time-induced reflection; while all nudges extend reflection time, they do not consistently improve deliberative quality and produce varied user experiences. The work offers practical design guidelines for integrating reflection time into online discussions and reviews, suggesting that nudges should avoid inducing stress, avoid social comparisons, and support thoughtful verification rather than forcing longer waits. Overall, the findings advance understanding of how time can be strategically allocated to enhance deliberation and inform the design of future online deliberation and review systems.

Abstract

The deliberative potential of online platforms has been widely examined but the impact of reflection time on the quality of deliberation remains under-explored. This paper presents two user studies involving 100 and 72 participants respectively, to investigate the impact of reflection time on the quality of deliberation in minute-scale deliberations. In the first study, we identified an optimal reflection time for composing short opinion comments. In the second study, we introduced four distinct interface-based time nudges aimed at encouraging reflection near the optimal time. While these nudges may not improve the quality of deliberation, they effectively prolonged reflection periods. Additionally, we observed mixed effects on users' experience, influenced by the nature of the time nudges. Our findings suggest that reflection time is crucial, particularly for users who typically deliberate below the optimal reflection threshold.

Figures (17)

• Figure 1: Examples of existing online deliberation platforms (from left): vTaiwanis a platform for opinion exchange to produce public regulations that align with the expectations and needs of stakeholders. The next two examples shows an illustration of online deliberation platforms that incorporate reflection approaches: ConsiderItis a platform to support users' reflection process by guiding them to reflect on trade-offs of policies through the creation of pros and cons points; PolicyScapeis an online system designed to support users' reflection on public policies by helping them to explore diverse stakeholders' perspectives.
• Figure 2: Key features of the interface design in study 1. Left: The timer is positioned on the top left corner and there is no submit button for participants to proceed even if they have finished typing their responses before the timer ends. Right: When the timer reaches 10 seconds, the submit button appears. When the timer ends, participants' responses will be automatically submitted. This figure shows a screenshot of the Three minutes experimental condition but is the same for all five reflection time lengths used in study 1.
• Figure 3: Word count, argument repertoire and argument diversity for each reflection time. Error bars show 95% confidence intervals.
• Figure 4: Logarithm function (blue) vs linear function (red) for the three measurements of deliberativeness.
• Figure 5: Post-task feedback on the length of reflection time in each experimental condition. Note: the Four Minutes condition is missing two discarded data points but the total still amounts to 100%.