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Which news topics drive economic prosperity in China? [PDF]
PLoS ONE, 2023 Precise and real-time measurements of economic prosperity are vital to a country's economic system. This study aims to identify news topics that promoted economic prosperity in China from 2011-2021.
Wanbo Lu, Yifu Wang, Xingjian Zhang
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Topic-driven toxicity: Exploring the relationship between online toxicity and news topics. [PDF]
PLoS ONE, 2020 Hateful commenting, also known as 'toxicity', frequently takes place within news stories in social media. Yet, the relationship between toxicity and news topics is poorly understood.
Joni Salminen +4 more
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Fake News: Is it Made for Men or Women?
Філологічні студії, 2023 Fake news has become an integral part of modern life. It represents a distinct genre within news discourse, characterized by manipulation and the dissemination of deceptive information through mass media.
Galyna Tsapro +1 more
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News Values on Instagram: A Comparative Study of International News
Journalism and Media, 2021 This study employs the news values theory and method in the examination of a large dataset of international news retrieved from Instagram. News values theory itself is subjected to critical examination, highlighting its strengths and weaknesses.
Ahmed Al-Rawi +2 more
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An Adaptive LDA Optimal Topic Number Selection Method in News Topic Identification
IEEE Access, 2023 Nowadays, news text information is exploding, and people need more and more heterogeneous news content. Therefore, news text topic identification is needed to help viewers quickly and accurately screen and filter news related to their interests to save ...
Mingming Zheng +3 more
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Ontologie des sujets d’actualité
Communication, 2022 The noted lack of research on news topics seems to be due to the challenges involved in defining and identifying them. This article attempts to eliminate those two obstacles.
Patrick Bourgne
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Topic identification from news blog in Spanish language
Informática y Sistemas, 2022 Currently exist a large amount of news in a digital format that need to be classified or labeled automatically according to their content. LDA is an unsupervised technique that automatically creates topics based on words in documents.
Lizbeth Pacheco-Guevara +2 more
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Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework
Frontiers in Artificial Intelligence, 2021 We present a topic modelling and data visualization methodology to examine gender-based disparities in news articles by topic. Existing research in topic modelling is largely focused on the text mining of closed corpora, i.e., those that include a fixed ...
Prashanth Rao, Maite Taboada
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Des voix plurielles dans l’écriture de la recherche
Communication, 2022 The approach I develop here is situated between information and communication sciences and science studies. It sets up a dialogue between my thoughts on writing about the fieldwork I did over several years, on clowning, and the way fieldwork can “take ...
Philippe Hert
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A computer-assisted textual analysis of 10,191 rape news headlines shared on social media
Social Sciences and Humanities Open, 2023 Although rape is prevalent in Bangladesh, we have limited knowledge about how the media reports rape news. This study analyzed 10,191 headlines of rape news shared on ten Bangladeshi media's Facebook pages between 2013 and 2021.
Md. Sayeed Al-Zaman
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