digital media | Alberto Acerbi

digital media

Machine Culture

The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of ‘machine culture’, culture mediated or generated by machines. We …

Large language models show human-like content biases in transmission chain experiment

As the use of large language models (LLMs) grows, it is important to examine whether they exhibit biases in their output. Research in cultural evolution, using transmission chain experiments, demonstrates that humans have biases to attend to, …

Negativity bias in the spread of voter fraud conspiracy theory tweets during the 2020 US election

During the 2020 US presidential election, conspiracy theories about large-scale voter fraud were widely circulated on social media platforms. Given their scale, persistence, and impact, it is critically important to understand the mechanisms that …

Sentiment analysis of the Twitter response to Netflix's Our Planet documentary

The role of nature documentaries in shaping public attitudes and behaviour towards conservation and wildlife issues is unclear. We analysed the emotional content of over two million tweets related to *Our Planet*, a major nature documentary released …

Digital Culture

The diffusion of digital technologies triggered a radical departure from previous modalities of cultural transmission but, at the same time, general characteristics of human cultural evolution and cognition influence these developments. This chapter …

People believe misinformation is a threat because they assume others are gullible

Alarmist narratives about the flow of misinformation and its negative consequences have gained traction in recent years. If these fears are to some extent warranted, the scientific literature suggests that many of them are exaggerated. Why are overly …

Misinformation on Misinformation: Conceptual and Methodological Challenges

Alarmist narratives about online misinformation continue to gain traction despite evidence that its prevalence and impact are overstated. Drawing on research questioning the use of big data in social science and reception studies, we identify six …

Why too much focus on online misinformation is a problem

Can't you just stop annoying them? They have good intentions!

From storytelling to Facebook

Some content spreads better in social media, but how can we know if it is *because* of social media?

From storytelling to Facebook. Content biases when retelling or sharing a story

Cultural evolution researchers use transmission chain experiments to investigate which content is more likely to survive when transmitted from one individual to another. These experiments resemble oral storytelling, where individuals need to …