Machine Learning in Generation

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Local information challenged by platforms Local newspapers, in particular, have been hit hard by shifts in consumer behavior and business models, and the pandemic has only compounded the challenges. Commitment to local news is being challenged by growing competition from Big Tech platforms and specialized websites and apps that focus on providing a particular service, such as weather forecasts or job searches. Local governments, businesses, and politicians also often provide information on local issues using their own websites and social media. Traditional media – including newspapers, local TV and radio – are most popular for current topics such as local politics , crime , the economy or coronavirus , as well as local sports.



Between 50 and 60% of people think these outlets gambling data morocco offer the best information on these topics. Social media and search engines are most popular for information on shops and restaurants (49%), local services (47%) or things to do in the area (46%). Of course, search and social media can serve as a link to local news, but in most cases, the information sought is contained within the platform, making it a destination in its own right. New business models for the media Advertising revenue is increasingly going to Google, Facebook and a few other large platforms that have disrupted an industry already battered by the digital shift.



While some news organizations still generate significant offline and online advertising revenue, the share of advertising that goes to news media is declining. The first, and perhaps most important, point the study reveals is that media funding is not a particularly important issue for most people . This of course has implications for public support for reforms and business model changes, and may influence how policymakers prioritize these issues. Globally, slightly more people are subscribing to online news, particularly, unsurprisingly, in wealthy countries. In the United States, multiple subscriptions are increasingly common.