With currently over one billion monthly active users, the Chinese social media and
multipurpose application WeChat (, Wēixìn, micro-message) has become one of the world's …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Algorithms in online platforms interact with users' identities in different ways. However, little
is known about how users understand the interplay between identity and algorithmic …

This research examines how individuals respond differently to recommendation options
generated by ChatGPT, an AI-powered language model, in five studies. In contrast to …

This article addresses questions of ideological polarization and the filter bubble in social
media. It develops a theoretical analysis of ideological polarization on social media by …

In this era of pervasive automation, Mark Andrejevic provides an original framework for
tracing the logical trajectory of automated media and their social, political, and cultural …

Donald Trump, the Arab Spring, Brexit: digital media have provided political actors and
citizens with new tools to engage in politics. These tools are now routinely used by activists …

We demonstrate that exposure to the news media causes Americans to take public stands
on specific issues, join national policy conversations, and express themselves publicly—all …

Abstract Machines are increasingly aiding or replacing humans in journalistic work, primarily
in news distribution. We examined whether news recommendation engines contribute to …

In this study, we investigate dysfunctional information sharing on WhatsApp and Facebook,
focusing on two explanatory variables—frequency of political talk and cross-cutting …