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| Source: | Find a Tender Service (FTS) |
| Notice Type: | Planning update |
| Buyer: | Department for Culture, Media and Sport |
| Main Category: | Services |
| Procurement Method: | — |
| Tender Status: | Pre-tender |
Pipeline status
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Estimated Value
£1,500,000
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Book a free consultation →| Estimated Value (ex. VAT): |
| £1,500,000 |
| Estimated Value (inc. VAT): | £1,800,000 |
| Release Date: | 27 July 2026 |
| Application Deadline: | — |
| Contract Start Date: | 8 March 2027 (Estimated) |
| Contract End Date: | 7 March 2030 (Estimated) |
| Contract Duration: | 3.1 years |
| Procurement ID (OCID): | ocds-h6vhtk-06d487 |
| Notice Reference: | 070952-2026 |
All 2 notices for this procurement, oldest first.
105016 - Audience pathways to sources of content and information
105016 - Media Consumption Pathways and Trust
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Title change
DCMS is seeking to commission a two-phase research project to investigate UK media consumption habits and public trust in media. Phase 1 would consist of a behavioural cohort study (or another appropriate methodology) to map the specific "user pathways" audiences take to find, consume, and value information across different media sources, such as traditional news broadcasts and social media, across different demographics. Building on these findings, Phase 2 would explore how individuals perceive trust in different media sources due to their own perception of mis/disinformation, assess the broader effects of these consumption pathways on factors such as viewer retention and wider social cohesion, as well as overall integrity of the UK’s information ecosystem. This project will be commissioned either through a Competitive Flexible Procedure under the Procurement Act 2023, or through the RM6126 Research and Insights framework. This is part of the DCMS Science and Analysis R&D Programme, which supports R&D capability within the department. This project will run concurrently alongside three other large projects across 2027-2030; these include ‘what works’ research into AI adoption in DCMS sectors; a continuation of previous research to develop data-intensive approaches for capturing engagement at unticketed cultural, heritage, and sporting events/activities/locations, e.g. using mobile app data to model how people participate in our events; and a continuation of previous research to design and improve methods for holistically tracking the long-term impact of major events, tested on a major event.
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