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| Funder | European Commission |
|---|---|
| Recipient Organization | Uniwersytet Warszawski |
| Country | Poland |
| Start Date | Dec 01, 2024 |
| End Date | Nov 30, 2029 |
| Duration | 1,825 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101126218 |
Populism, polarisation, and wavering support for democratic norms are pressing threats to the EU.
NEWSUSE seeks to explain and remedy these threats by bringing the problem of insufficient news consumption to the forefront.
Rather than focusing on echo chambers, misinformation, or filter bubbles, I argue that very low news use among citizens is a drastically overlooked problem, which leads to voting misaligned with individual interests and susceptibility to manipulative, populist and misinformed rhetoric. Brexit and the 2016 US election are key examples.
Because greater news exposure can make citizens more resilient to the various democratic threats, it is urgent to address the fundamental question: How to sustainably incentivize the use of quality news?
Toward this end, NEWSUSE advances a theoretically driven and applicable model that accounts for individual, algorithmic and social factors influencing news (non-)use and – therefore – also the approaches to promoting news intake.
Building on this model, NEWSUSE designs validated computational tools to increase people’s consumption of quality news, pinpoints whether it is the citizens, social contexts, and/or recommender systems that need to be tweaked, and tests the democratic effects of increased news use across political contexts and social media platforms.
NEWSUSE relies on cutting-edge multidisciplinary methods, combining quantitative and qualitative, observational and over-time experimental designs and incorporating the latest advances in computer and computational social science, the first project to apply these innovative approaches conjointly and comparatively.
NEWSUSE advances academic knowledge and its findings will be crucial for scholars across disciplines, (non-)governmental organizations, and policymakers working on algorithmic transparency.
It is only when we know how different factors together prevent or enhance news exposure, will we be able to make citizens and democracies more resilient.
Uniwersytet Warszawski
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