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| http://dx.doi.org/10.1073/pnas.2001649117 | DOI Listing |
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Background: Social media has become a new channel for information exchange in recent years. WeChat official account (WOA) is now widely adopted by the Center for Disease Control and Prevention (CDC) for successful information distribution and diffusion online. We aimed to identify features of the most popular articles pushed by WOAs of the China's CDC that are associated with article influence.
View Article and Find Full Text PDFEmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.
Behav Res Methods
January 2025
CogNosco Lab, Department of Psychology and Cognitive Sciences, University of Trento, Trento, Italy.
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically validated lexicons for detecting the eight emotions in Plutchik's theory. We show that EmoAtlas can match or surpass transformer-based natural language processing techniques, BERT or large language models like ChatGPT 3.
View Article and Find Full Text PDFIntroduction: Systemic lupus erythematosus (SLE) is a chronic inflammatory autoimmune disease that affects various body systems, including the skin and facial features. Estrogen promotes lupus in human and mouse models of SLE. In this study, we conducted an in vivo study to investigate the relationship between two estrogen receptors (ERα and ERβ) and platelet-activating factor acetylhydrolase (PAF-AH) on the symptoms of SLE.
View Article and Find Full Text PDFDo people prefer to share political information that boosts their ingroup or derogates the outgroup?
J Exp Psychol Gen
January 2025
Department of Psychology, Cornell University.
Recent analyses of social media activity indicate that outgroup animosity drives user engagement more than ingroup favoritism, with content that derogates the outgroup tending to generate more viral responses online. However, it is unclear whether those findings are due to most people's underlying preferences or structural features of the social media landscape. To address this uncertainty, we conducted three experimental studies ( = 609) to examine how intended impact (ingroup favoritism/outgroup derogation) influences intentions to share both true and false news posts among U.
View Article and Find Full Text PDFCPJN: News recommendation with a content and popularity joint network.
Neural Netw
January 2025
School of Information Management and Engineering, Shanghai University of Finance and Economics, 200433 Shanghai, PR China. Electronic address:
Users may click on a news because they are interested in its content or because the news contains important information and is very popular. Modeling these two aspects is crucial for accurate news recommendation. Most existing studies focused on capturing users' preferences towards news content, and thus they are limited in investigating in depth users' preferences towards news popularity and independently capturing user content and popularity preferences.
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