The emerging use of Conversational Agents (CA) -such as Google Assistant- for information and news consumption foregrounds the question about the role that algorithmic gatekeeping power plays. Currently, we have very limited knowledge of the effects that CAs have on influencing important issues for the public (issue salience). In this study, we aim to examine the influence that CAs have on the transference of issue salience and compare these results with other channels for news consumption. Through a seven-day longitudinal survey, we compared the most important issues reported by users (N = 352) consuming different news channels, such as CA, social media, and news websites. Although our results were not significant, our analysis suggests that those consuming news via CAs have a lower probability of agreeing on what issues are more important to the country compared to participants consuming news on social media and news websites. The findings indicate that news consumption through CAs can decrease shared context compared to users consuming news in other channels. In addition, our results suggest that high trust in the channel and attention to political news in algorithmically driven channels decreases the probabilities of agreeing on what is important for society. The results pose important questions for further research such as the impact and democratic role of CAs in the overall news ecology.