Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Michael, Alvarez"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Free riders, who benefit from collective efforts to mitigate climate change but do not actively contribute, play a key role in shaping behavioral climate action. Using a sample of 2096 registered American voters, we explore the discrepancy b
Externí odkaz:
https://doaj.org/article/83d83385f9af4abd86d903e415f7a0d4
Do fossil fuel firms reframe online climate and sustainability communication? A data-driven analysis
Publikováno v:
npj Climate Action, Vol 2, Iss 1, Pp 1-12 (2023)
Abstract Identifying drivers of climate misinformation on social media is crucial to climate action. Misinformation comes in various forms; however, subtler strategies, such as emphasizing favorable interpretations of events or data or reframing conv
Externí odkaz:
https://doaj.org/article/c8e8913f9ab1465595114fbe91af1cc8
Autor:
Rafal Kocielnik, Zhuofang Li, Claudia Kann, Deshawn Sambrano, Jacob Morrier, Mitchell Linegar, Carly Taylor, Min Kim, Nabiha Naqvie, Feri Soltani, Arman Dehpanah, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Online competitive action games are a very popular form of entertainment. While most are respectfully enjoyed by millions of players, a small group of players engages in disruptive behavior, such as cheating and hate speech. Identifying and subsequen
Externí odkaz:
https://doaj.org/article/d1709191008846309925158854a4cd90
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0294047 (2024)
Leading up to the 2022 Congressional midterm elections, all predictions pointed to a Republican wave, given factors such as the incumbent president's low approval rate and a struggling national economy. Accordingly, the underwhelming performance of t
Externí odkaz:
https://doaj.org/article/f53c6c0eb0d6486a9898a6f2486876d1
Publikováno v:
Frontiers in Political Science, Vol 5 (2023)
Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content. While LLMs like GPT-3 have been used widely in many applications, the recent public r
Externí odkaz:
https://doaj.org/article/314da65ccbd54b3a9552b05449753b8a
Autor:
Ramit Debnath, Ronita Bardhan, Darshil U. Shah, Kamiar Mohaddes, Michael H. Ramage, R. Michael Alvarez, Benjamin K. Sovacool
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract The building and construction sector accounts for around 39% of global carbon dioxide emissions and remains a hard-to-abate sector. We use a data-driven analysis of global high-level climate action on emissions reduction in the building sect
Externí odkaz:
https://doaj.org/article/aa4353f37c5045db814f93fed58ecaed
Publikováno v:
Frontiers in Political Science, Vol 5 (2023)
Does collective identity drive protest participation? A long line of research argues that collective identity can explain why protesters do not free ride and how specific movement strategies are chosen. Quantitative studies, however, are inconsistent
Externí odkaz:
https://doaj.org/article/65e25ecc8f8c47d1b40aa9ef9245da39
Autor:
R. Michael Alvarez, J. Andrew Sinclair
Over the years, observers of American politics have noted the deleterious effects of party polarization in both the national and state legislatures. Reformers have tried to address this problem by changing primary election laws. A theory underlies th
In competitive and contested democratic elections, insuring integrity is critical. Evaluating Elections shows why systematic analysis and reporting of election performance is important and how data-driven performance management can be used by electio
Autor:
Rolando Ariel Martínez Socas, Michael Alvarez González, Yoandy Rodríguez Marín, Carlos Lázaro Castillo-García, Jorge Jiménez, Luciana das Dores de Jesus da Silva, Lisdelys González-Rodríguez
Publikováno v:
Water, Vol 15, Iss 10, p 1805 (2023)
Floods are a natural phenomenon that cause damage to structures and property as well as negatively affect human life. Assessing the extent, speed, power, and depth of flooding has always been a challenge for water resource planners. This research dev
Externí odkaz:
https://doaj.org/article/df18fb37a166407b9b504a7c51e5faba