This study conducted a content analysis of 639 news articles about e-cigarettes in China from 2004-2019 to examine longitudinal changes in media frames and media tones about e-cigarettes in Chinese newspapers. Results indicated that policy frame was the most frequently used frame, followed by human impact frame, information frame, and uncertainty frame. Dividing the time period of 2004-2019 into four phases (i.e., 2004-2006, 2007-2010, 2011-2017 and 2018-2019), the study found that the frequency of the information frame significantly decreased over time, while the policy frame and uncertainty frame significantly increased, with the policy frame being the dominant frame in recent years. In contrast, the use of the economic frame and morality frame fluctuated, both reaching peaks in the phase of 2007-2010 and decreasing in the most recent phase. Overall, the tone of the large majority of news articles was unfavorable, and the turning point occurred in the phase of 2007-2010 when the percentage of news articles with negative tone exceeded those with positive tone for the first time. Framing of e-cigarette news articles in China demonstrated the pivotal role of policy makers in defining the e-cigarette issue, and the influence of the international public health community, as an important and reliable information source, on defining the health risk of e-cigarettes, which has implication for not only e-cigarette control, but tobacco control in China in general.
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http://dx.doi.org/10.1093/her/cyab019 | DOI Listing |
Zookeys
January 2025
Laboratório de Ecologia e Biogeografia de Mamíferos, Universidade Estadual de Goiás, Avenida Brasil, Setor Helio Leao, Quirinópolis, GO, Brazil Universidade Estadual de Goiás Quirinópolis Brazil.
The continuous growth of the urban population, coupled with habitat loss, has resulted in unanticipated interactions between animals and humans in urban centers. In this study, we investigated the presence of mammals in urban centers through newspaper reports on websites. Specifically, we examined: i) the frequency of photographic records, ii) the temporal trends (2001 to 2021) and spatial trends (Brazilian Federative regions and states) of the records, and iii) the orders, families, and species most frequently reported in urban centers.
View Article and Find Full Text PDFBehav 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 PDFPsychol Trauma
January 2025
Department of Medicine, Section of General Internal Medicine, University of Chicago.
Objective: From the beginning of the COVID-19 pandemic, there has been a proliferation of anti-Asian racism. In addition to being personal targets of racism, members of the Asian American community have also been vicariously exposed to repeated news and social media stories about anti-Asian racism. Emerging research suggests that vicarious exposure to racism during the pandemic is associated with decreased well-being, although mechanisms of action are not yet clear.
View Article and Find Full Text PDFJ 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.
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