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.