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Journalism scholars have increasingly become concerned with how our changing media environment has shifted traditional understandings of how news outlets create trust with audiences. While many scholars have focused on broad avenues of building trust with audiences through transparency, community engagement, and funding, arguably less attention has been paid to how audience members’ social positionality—determined by factors such as race, class, and socioeconomic status—can shape their varying understanding of what makes a news source trustworthy. Thus, in this study, I conducted focus groups with US women of color, a community marginalized minimally along race and gender, to understand how their positionality shapes how they conceptualize news trust. Through eight focus groups with N = 45 women of color, I found while participants used known antecedents of news trust, these were often more specifically rooted in their own experiences with racism, heterosexism, and classism. Further, participants had varying conceptualizations around antecedents of trust, such as accuracy and bias. Through these findings, I suggest how news organizations can better establish trust across marginalized communities.

Social media platforms have increasingly become an important way for news organizations to distribute content to their audiences. As news organizations relinquish control over distribution, they may feel the need to optimize their content to align with platform logics to ensure economic sustainability. However, the opaque and often proprietary nature of platform algorithms makes it hard for news organizations to truly know what kinds of content are preferred and will perform well. Invoking the concept of algorithmic ‘folk theories,’ this article presents a study of in-depth, semi-structured interviews with 18 U.S.-based news journalists and editors to understand how they make sense of social media algorithms, and to what extent this influences editorial decision making. Our findings suggest that while journalists’ understandings of platform algorithms create new considerations for gatekeeping practices, the extent to which it influences those practices is often negotiated against traditional journalistic conceptions of newsworthiness and journalistic autonomy.