Numerical evaluation of deliberative discussions of the UK food system: stimuli, demographics, and opinion reversion

TL;DR

This study develops numerical methods to analyze deliberative discussions on the UK food system, revealing how perceptions of responsibility shift and revert over time among diverse participants, aiding policy development.

Contribution

It introduces a quantitative approach to evaluate deliberative fora, complementing qualitative analysis and enabling statistical assessment of opinion change and reversion effects.

Findings

Governments perceived as most responsible, farmers least responsible.

Responsibility perceptions changed most for individuals, least for the food industry.

A reversion effect was identified, especially among those intending to vote.

Abstract

There is increasing acknowledgement - including from the UK government - of the benefit of employing deliberative processes (deliberative fora, citizens' juries, etc.). Evidence suggests that the qualitative reporting of deliberative fora are often unclear or imprecise. If this is the case, their value to policymakers could be diminished. In this study we develop numerical methods of deliberative processes to document people's preferences, as a complement to qualitative analysis. Data are taken from the Food Conversation, a nationwide public consultation on reformations of the food system comprising 345 members of the general public. Each participant attended 5 workshops, each with differing stimuli covering subtopics of the food system. In each workshop, individuals twice reported responsibility, from 0-10, for changing the food system for 5 stakeholders (governments, the food industry, supermarkets, farmers, individuals). Analyses examined individuals' perceptions of food system change responsibility. Governments were most responsible and farmers least so. We assessed variation by workshop content, and by demographics. Reported responsibility changed most for individuals, and changed least for the food industry. We devise a model to document a reversion effect, where shifts in perceptions on responsibility that occurred during workshops waned over time; this was strongest among those who intended to vote (rather than not to). These results can support qualitative analyses and inform food system policy development. These methods are readily adopted for any such deliberative process, allowing for statistical evaluation of whether they can induce opinion change.