Description: Computational journalism has been an emerging discipline in recent years. A lot of inspiring data-driven studies on news production, distribution, and consumption have been published and discussed. Some conferences, such as computation+journalism symposium, have started to offer places for computer scientists and journalists to help each other to discover new research directions. The topic has recently received a great attention as it is relating to a few, but crucial societal problems, such as media bias, echo chamber, and filter bubble. On the other hand, social media has received a lot of attention from researchers who study public opinion. The data collected from social media is a valuable asset to see what people have in their minds about at the very moment or to examine the effect of information exposure. Election prediction based on Twitter is an exemplar of such efforts. In this workshop, we are trying to make these two disciplines meet. How news media formulate public opinion and how public opinion influences on news media are our questions to ask. For this, of course, the parallel efforts on the understanding of news media and public opinion are required first, and then based on the findings, we can look into the interplay between them. As a result, the workshop topics can be categorized into three groups: news, public opinion, and their interplay.