Research



My interdisciplinary research program examines the social implications of emerging technologies, with a particular emphasis on what such developments mean for journalism — for how news is made, how it moves in the world, and how people make sense of it.

For more than a decade, my research has been at the forefront of the field in both empirically exploring and conceptually modeling the changing nature of journalism in relation to sociotechnical phenomena such as social media, algorithms, artificial intelligence, big data, open-source software, and digital audience metrics. In studying these issues, I draw upon a diverse mix of perspectives — from my home field of journalism studies and communication research broadly, in addition to fields such as sociology, social psychology, science and technology studies, and management theory. I also combine qualitative, quantitative, and mixed methods, allowing the research question to guide the research design. And, I collaborate with an international set of experts, enabling me to extend my research agenda far beyond what would otherwise be possible working alone. This wide-angle approach has allowed me to contribute to various literatures even while maintaining focus on a core question that animates my work within the field of journalism studies: How are emerging technologies associated with the changing character of news — and, in turn, what do such developments mean for how people learn about and make sense of the world?

Current Projects


Why don’t people trust news?

We explore this question in various ways, including through a study that compares how people think about doctors in comparison to journalists.

Journalism, AI, and ChatGPT

We examine journalists’ use of (and reactions to) AI chatbots such as ChatGPT, toward understanding broader dynamics in machines, media, and labor.

What does ‘media bias’ mean?

A key theme in how people talk about news is the complaint that journalists are “biased.” We explore what this fuzzy term actually means to people.

Select Publications


  • News After Trump: Journalism’s Crisis of Relevance in a Changed Media Culture

    The first major book-length scholarly examination of Donald Trump’s relationship with the U.S. press — and what it portends for the future of media. (Read the first chapter free here.)

  • Online harassment and its implications for the journalist–audience relationship

    We explore how the experience of online harassment may complicate the way that journalists think about and act toward their audiences, offering a window into the downsides of encountering audiences online.

  • Artificial intelligence and communication: A Human–Machine Communication research agenda

    Several years before ChatGPT, Andrea Guzman and I introduce the concept of “communicative AI” and develop a three-part framework for studying the future of human–machine communication in a world of AI communicators.

  • Automation, Journalism, and Human–Machine Communication: Rethinking Roles and Relationships of Humans and Machines in News

    This article offers a theoretical reorientation to advance our understanding of humans, machines, and news for an oncoming era of AI technologies

  • Only “sheep” trust journalists? How citizens’ self-perceptions shape their approach to news

    Jacob L. Nelson and I explore people’s experience with news during the early months of the covid pandemic, finding that one’s approach to and trust in news is as dependent on what they bring to the news as it is on what news brings to them.

  • News is ‘Toxic:’ Exploring the Non-Sharing of News Online

    We find that non-sharers tend to believe that news is “toxic” and potentially damaging to their reputations as well as their relationships. Not sharing news is a protective mechanism for identity maintenance, even as it brings worries about one’s voice being silenced in the process.