The relationship between public opinion and journalism has long been a considered a cornerstone of modern functioning democracies. This important relationship has been the focus of scholarship across broad disciplines such as journalism studies, communication, sociology, philosophy, and political science. One hundred and twenty years ago, French sociologist Gabrielle Tarde outlined the press–conversation–opinion–action model to illustrate the role that the press and journalists have on initiating conversation among citizens, forming public opinion, and how this opinion translates into civic action that fosters social change. Highly related to Tarde’s press–conversation–opinion–action model are current theories of journalism and public opinion such as agenda-setting, priming, the two-step flow hypothesis, diffusion of innovation, and the spiral of silence. All of these theories relate to how the press can inform citizens, foster interactions with others, shape their opinions, and mobilize citizens into civic engagement and political action. However, in today’s mobile, digital, and highly segmented communication landscape defined by “post-truth” and “alternative facts” and where emotions resonate more than evidence because of audience biases and identity protective cognition, the problem of the spread of misinformation has caused a great deal of consternation among journalists, pundits, and public opinion scholars, leading to a global rise in fact-checking. But because much of the misleading and deceptive claims in today’s communication environment appear first on social media, there is currently a fervent quest for automated computational fact-checking.