The Gig Rights Project survey was undertaken to gain a deeper understanding UK platform worker support for labour rights, policy interventions and collective representation. Therefore, the aim of the survey was to gather data on the policy and representation preferences of these workers as well as other key factors which might influence these preferences. Respondents were asked to select the three labour rights and policies that would most benefit their working life if applied to their platform work. Respondents had a choice of 13 labour rights and 13 other policies to make their selection from. These labour rights and policies were generated from reviewing publicly available policy recommendations and discussions with our external advisory partners (Advisory, Conciliation and Arbitration Service (Acas), Charted Institute for Personnel and Development (CIPD), International Labour Organization (ILO), Royal Society for the Encouragement of Arts, Manufactures and Commerce (RSA) and Trade Union Congress (TUC). We additionally adopted questions from the Understanding Society, COLLEEM, iLabour, Skills and Employment, British Social Attitudes surveys in order to collect data on respondents’ platform work, working conditions, representation preferences, and political values. The survey was piloted with five current or former platform workers: two current remote platform workers, a former delivery local platform worker, a former ridehail local platform worker and a current handyperson local platform worker. Where possible, to ease comparison with existing quantitative research, we based our questions or survey items on established social surveys. Improvements were made to the wording of the questions based on the feedback provided during the piloting. The research received ethical approval from the Bristol University School of Management Research Ethics Committee. The survey was administered to a strategically targeted ‘river’ sample which included good representation across conceptually important categories, such as remote or local platform work, migrant or UK-born, male or female, younger or older and more or less educated. By doing so, it is possible to highlight where preferences for rights and policies seem unlikely to be influenced by such characteristics due to the absence of substantial differences between groups. Conversely, this approach allows to identify outcomes that are more likely to be sensitive to the actual makeup of the platform worker population. To generate our targeted sample, we advertised our survey directly to UK-based workers active on Facebook and Instagram using the advertising portal. (Facebook Ads Center) which allows the placement of advertisements on both social media platforms. The advantage of this approach is that Facebook and Instagram use is so widespread that self-selection into the sampling frame is not a concern. Recent estimates indicate that approximately 71 per cent of adults in the UK are active on Facebook and are not especially stratified by demographic characteristics. Using the platform advertising features, we directly targeted our survey at users who, for example, listed their interests as ‘Ubereats’, ‘delivery (commerce)’, ‘Uber (company)’, ‘Drive with Uber’, ‘Taxi Driver’, ‘Hybrid electric vehicle’, ‘TaskRabbit’, ‘Care.com’ or ‘Airtasker’; their employer as ‘Deliveroo’, or their job title as ‘delivery’ ‘Taxi Cab Driver’ or ‘Car Driver’. Users matching these interests, employer or job titles, were targeted with bespoke adverts designed for delivery, drivers and domestic platform workers on Facebook/Instagram. We recruited 257 local platform workers in this manner. Those who completed the survey were offered the chance to win an iPad. Previous quantitative research has demonstrated the potential for using platform-based adverts to effectively sample remote platform workers. We therefore followed this proven approach and recruited 253 remote platform workers from Upwork - a leading remote work platform. To do this we listed our survey as a job on the platform and in line with quotas for task and gender derived from the International Labour Organization’s (ILO) Online Labour Index. Those who completed the survey were compensated with a £10 payment. Between March and June 2022, 510 UK gig economy workers active on Facebook, Instagram or Upwork were surveyed. Key findings are strong support for labour rights, trade unions and co-determination. Low pay, insecurity, risk and lack of organizational voice provides a rationale for these preferences. Moreover, platform workers’ preferences are seemingly influenced by wider inequalities, with significant differences according to gender and country of birth.

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