This study is focused on how social media activism is politicized over time, attending to diverse groups of users and their response to real-world events on social media. Extending the scholarship ...

Extending existing research on right-wing populism and how the news media handles right-wing populists and their media-bashing rhetoric, this study examines how such rhetoric is amplified by politi...

Researchers show that large language models exhibit social identity biases similar to humans, having favoritism toward ingroups and hostility toward outgroups. These biases persist across models, trai...

A review of the literature on artificial intelligence systems to examine openness reveals that open AI systems are actually closed, as they are highly dependent on the resources of a few large corpora...

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Two Postdoctoral Research Positions in Human(e) AI

Facing historically low levels of public trust, journalists had been increasingly interested in the potential of artificial intelligence to produce news content...

A new Pew Research Center report also found nearly 40% of U.S. adults under 30 regularly get news from news influencers.

Graham, Timothy & Andrejevic, Mark (2024) A computational analysis of potential algorithmic bias on platform X during the 2024 US election. [Working Paper] (Unpublished)

A few months after ChatGPT was released, the neural network pioneer Terrence Sejnowski wrote about coming to grips with the shock of what large language models (LLMs) could do: “Something is beginning...

Exploratory notebooks for data science using Bluesky data - brianckeegan/bluesky-datascience