Artificial intelligence, digital social networks, and climate emotions

npj Climate Action, Journal Year: 2025, Volume and Issue: 4(1)

Published: March 3, 2025

Abstract Emotions relate to climate change action in various ways. Here we elaborate on how the expansion of digital social networks and advances artificial intelligence, ranging from recommender systems generative AI, may affect way people perceive engage emotionally change. We develop a simple framework that links individual collective emotions, action, suggest three critical areas need further investigation.

Language: Английский

---

Emergence and Development of a News Hate Cycle About Immigrants: The Case of Immigrants Transferred from the Canary Islands to the Spanish Mainland

Journalism and Media, Journal Year: 2025, Volume and Issue: 6(1), P. 5 - 5

Published: Jan. 7, 2025

In this article, we present the findings of research focused on emergence and development an immigration-related news hate cycle in Spain. During period from 24 to 29 October 2023, there was unusual increase social media posts about Spanish government’s transfer immigrants Canary Islands mainland. Based monitoring 918 collected through AI media-monitoring software (Determ d.o.o), our study identify how speech against generated spread. particular, aim main actors influencers involved its creation, dissemination, transformation, these manipulate interpretative frameworks by introducing arguments a supposed comparative grievance between people order foment hatred strengthen attitudes rejection towards immigrants, presenting them as invaders, criminals, terrorists. cycle, reaches peak when press trustworthy information echoes disinformation. The analysis temporal sequence websites reveals they achieve this. It also allows us develop tools counter spread speech.

Language: Английский

---

COVID vaccine misinformation: Toward an integrated approach for predicting the cascade of disinformation

Information Services & Use, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

The COVID-19 pandemic has highlighted the powerful influence of social media in shaping public opinion, particularly spreading vaccine misinformation. This study investigates dynamics disinformation during pandemic, focusing on its unprecedented scale and rapid proliferation, as well implications for political stability trust. It emphasizes crucial role Information Systems (IS) addressing these challenges, utilizing advanced technologies such algorithms, data analytics, artificial intelligence real-time tracking, analysis, countermeasures against employs a analytics approach to analyze over 2 million vaccine-related tweets, classifying them misinformation reliable information. findings reveal that spikes often coincide with periods uncertainty, while central nodes—highly connected users—play key amplifying content. Despite users tend engage more trustworthy information, offering opportunities amplify factual By examining cascades reviewing existing counter strategies, this aims illuminate complexities managing today’s digital landscape. Furthermore, it underscores need an integrated, multidisciplinary combines insights from Political Science IS. fosters literacy, enhances transparency, promotes trust credible sources, thereby strengthening resilience information ecosystems threats.

Language: Английский

---

Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media

Published: April 25, 2025

Language: Английский

---