Funding of journalism has become a critical part of journalism and digital journalism studies because no single business model has emerged to solve revenue problems for print and digital news outlets. Despite newspapers’ efforts to expand their income sources, they have remained print reliant in terms of revenue. In 2017, approximately 80% of global news publishers’ revenue still came from print products. While some large news corporations such as The New York Times Co. and News Corp have reported substantial increases in their digital subscription numbers, revenue from subscriptions and digital advertising has not been substantial enough to fund their newsroom structures and journalism. In this context, academia has started to produce more research on news payment systems. Recent studies of payment systems have largely concentrated on people’s willingness to pay for news. Academic researchers have also studied paywall models, content, and revenue. Additionally, crowdfunding as a source of revenue for news has been investigated, and the research on membership models is expanding. Most of the studies about news payment systems have concluded that none of the news payment systems—including paywalls, micropayments, donations, and memberships—is (on its own) sustainable for funding future journalism. Paywall can be understood as a subscription model that limits the public’s access to all or to some digital news content without a payment. Micropayments allow readers to pay per article or per view. Memberships allow the public to access certain content (premium content) or extra services such as events for a fee. Donations refer to the public’s voluntary monetary contributions to produce news articles or projects to the news sites. News publishers have become increasingly dependent on social media platforms such as Facebook for their content distribution. However, there is still very little academic research about news payment systems related to Facebook or other social media companies. This may well be because there is no transparent information about this kind of revenue as the news industry itself is not reporting on it.
Advances in digital technologies and participatory culture have enabled the efficient use of crowdsourcing in a broad range of contexts, including journalism. Journalism is increasingly deploying crowdsourcing as a knowledge-search method and a means of engaging readers. Through crowdsourcing, journalists can tap into the collective intelligence of large online crowds. The knowledge-search mechanism is based on access to the information held by the crowd. Using crowdsourcing, journalists can find otherwise inaccessible information that contributes to their investigations. In several countries, crowdsourced investigations have uncovered important news, including lawbreaking and corruption. Crowdsourcing can also unveil a broader range of perspectives about a story topic, leading to more inclusive and objective journalism. As a result, crowdsourcing can support the journalistic norms of accurate, objective, and transparent reporting. Moreover, it engages participants and fosters a stronger relationship between readers and journalists. Finally, in its use of crowdsourcing journalism can enact more efficiently in its monitorial role in society. At the same time, however, crowdsourcing may compromise the journalistic goals of accuracy and objectivity. A crowd is a self-selected group, so its input reflects a participant bias. If this fact is overlooked, crowdsourcing can lead to biased reporting. Moreover, a direct connection with the crowd can increase pressure on journalists to conform to the crowd’s wishes instead of pursuing journalistic norms and news values. This pressure can be especially strong in crowdfunding, a subtype of crowdsourcing.