This report analyzes future trends, scenarios, and initiatives to enhance the value of news by 2030.
(Generated with the help of GPT-4)
The research method involved a three-step approach: defining the value of news, identifying developments to inform predictions and scenarios, and proposing initiatives to enhance news value. Over 30 expert interviews, surveys, and five interactive digital workshops were conducted with Deloitte network and industry professionals.
(Generated with the help of GPT-4)
The report by Deloitte Impact Foundation explores the future of news, focusing on its value within democracies and how it might evolve by 2030. It examines the dual roles of news as a forum for public debate and a watchdog over power, using six indicators: inclusivity, pluralism, accessibility, quality, independence, and transparency. The study identifies 96 developments that could impact the news ecosystem, categorizing them into social, technological, economic, environmental, and political (STEEP) groups. It predicts certain trends, such as the continued human nature of news reporting, indirect news consumption, AI content creation, innovative business models, disinformation challenges, and societal pressure on journalism. Four extreme yet plausible scenarios are presented: Multidimensional Tribes, News Utopia, Benevolent Tech Platforms, and Ignorance is Bliss. The report recommends six initiatives to strengthen the value of news, including media educational programs, critical thinking reminders, transparent algorithms, a pluriform news aggregator, proof of provenance, and funding for news outlets. It suggests forming an industry-wide coalition to implement these initiatives effectively.
(Generated with the help of GPT-4)
Categories: 2030 time horizon | 2030s time horizon | English publication language | Global geographic scope | Netherlands geographic scope | artificial intelligence | democratic societies | disinformation | eu regulation | global geographic scope | industry coalition | initiatives | internet | news | news indicators | scenarios | steep analysis | tech platforms | trust | trust levels | truth | value of news