The National News
One of Meta’s first major announcements of 2025, the move to phase out fact checkers and replace them with a community notes-based system, is still fueling debate in the tech world.
The National News
One of Meta’s first major announcements of 2025, the move to phase out fact checkers and replace them with a community notes-based system, is still fueling debate in the tech world.
Physical Review Letters
The global chaos caused by the July 19, 2024 technology meltdown highlights the need for a theory of what large-scale cohesive behaviors—dangerous or desirable—could suddenly emerge from future systems of interacting humans, machinery, and software, including artificial intelligence; when they will emerge; and how they will evolve and be controlled. Here, we offer answers by introducing an aggregation model that accounts for the interacting entities’ inter- and intraspecies diversities. It yields a novel multidimensional generalization of existing aggregation physics. We derive exact analytic solutions for the time to cohesion and growth of cohesion for two species, and some generalizations for an arbitrary number of species. These solutions reproduce—and offer a microscopic explanation for—an anomalous nonlinear growth feature observed in various current real-world systems. Our theory suggests good and bad “surprises” will appear sooner and more strongly as humans, machinery, artificial intelligence, and so on interact more, but it also offers a rigorous approach for understanding and controlling this.
Frank Yingjie Huo, Pedro Manrique, Neil Johnson
PsyPost
Online hate communities are not confined to isolated corners of the internet. In a new study published in npj Complexity shows how these groups are increasingly intersecting with mainstream online spaces.
Curious By Nature Podcast
The run-up to the 2024 U.S. presidential election has seen unprecedented levels of misinformation, division, and hate speech on social media. Even as election day comes and goes and the votes are being counted, the temperature of online discourse is only likely to rise. Online conversations about race, immigration, and other hot-button topics continue to attract extremist views that threaten to drown out anything resembling civil discourse. How do communities of hate operate? And how do they create their networks of users to infiltrate both the major platforms as well as the darker corners of the web? To understand complex systems such as this, one researcher at George Washington University is using his background in particle physics to map and analyze how hate speech flows on social media. We spoke before election day and before any of the votes were counted. So, without knowing the outcome, he gives a sobering warning that the biggest spike in online hate is likely to come after voters go to the polls.
Tech Policy Press
As the outcome of the 2024 US Presidential election hangs in the balance, it is worth looking at new academic research that explores the relationship between elections, political communications, and technology. This piece looks at three recent studies that provide insights into the efficacy of prebunking election misinformation using AI, the resilience and growth of online hate networks, and the shortcomings of political communication research in addressing threats of illiberalism from the far-right.
New York Times
Leading Republican politicians and lax social media controls have contributed to a proliferation of hate rhetoric and anti-immigrant sentiment.
Pressetext
Exemplary study by George Washington University on the 2020 US presidential election
Scientias
A new study shows how elections not only fuel new forms of online hate, but also bring existing hate groups closer together.
IFL Science
Noticed the internet getting more hateful recently? It’s not just you.