Author topic model for co-occurring normal documents and short texts to explore individual user preferences

Yang, Yang; Wang, Feifei

doi:10.1016/j.ins.2021.04.060

Cited by 8 publications

(5 citation statements)

References 23 publications

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“…This result shows that students' high attitudes toward information and learning may improve media literacy, which would benefit the quality of information and learning. Such a result is consistent with the research findings of Wang et al (2020) and Yang et al (2021). Media literacy means that students can acquire various multimedia messages to use, analyze, evaluate, and create a multimedia message to communicate.…”

Section: Discussionsupporting

confidence: 89%

“…Similarly, university students with good performance reflecting on audience meaning show better critical thinking skills. The result is consistent with the research findings of Wang (2020) and Yang and Wang (2021). University students' critical thinking would actively and skillfully conceptualize messages through observation, experience, reflection, inference, or communication and apply the intelligence training process of analysis, synthesis, or assessment.…”

Section: Discussionsupporting

confidence: 87%

“…Male university students scored higher on media literacy than female college students, possibly because males placed more emphasis on rationality while females focused more on emotion. In another recent study, Yang and Wang (2021) indicated that most university students exhibited positive internet behaviors, although interpersonal breadth seemed to differ significantly in email use. Considering interpersonal relationships on the Internet as an extension of real-life interpersonal relationships, dissatisfaction with real-life interpersonal relationships would be replaced by interpersonal relationships on the Internet.…”

Section: Research Hypothesismentioning

confidence: 94%

“…It involved helping individuals think critically about the essence of public multimedia, the technology used and the implications, and the multimedia content to create additional personal texts (Murakami & Chakraborty, 2022). Accordingly, media literacy establishes relationships among the following three elements under historical and cultural conditions (Yang et al, 2021):…”

Section: Research Hypothesismentioning

confidence: 99%

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Effects of motivation to use social networking sites on students’ media literacy and critical thinking

Shieh,

Nasongkhla

2024

ONLINE J COMMUN MEDIA TECHNOL

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Participation in social networking sites offers many potential benefits for university students. Online interaction on these sites provides various opportunities for them to learn and improve self-control, tolerate and respect the viewpoints of others, express emotions in healthy and orderly ways, and think and make decisions critically. These sites also provide them with a virtual space to execute time, form close connections with friends without being spatially restricted and provide space for young people’s self-development. However, the number of studies examining university students’ social networking sites, media literacy, and critical thinking is very limited in the literature. Therefore, this research examined the effects of motivation to use social networking sites on students’ media literacy and critical thinking. The research also examined the relationships between students’ motivation for using social networks, media literacy, and critical thinking. The data were collected using three data collection instruments. The participants were 211 university students enrolled at two universities in Bangkok, Thailand. The results showed significant positive correlations between motivation to use social networking sites, and critical thinking, that university students with better performance in information and learning show better performance in critical thinking and reflection skills. The results also showed remarkable positive correlations between motivation for using social networking sites and media literacy, indicating that university students with better performance in information and learning show better performance in multimedia messages and multimedia organization and analysis. In addition, the results also revealed positive correlations between critical thinking and media literacy. The implications are made based on the results obtained from this research.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 87%

Section: Research Hypothesismentioning

confidence: 94%

Section: Research Hypothesismentioning

confidence: 99%

See 2 more Smart Citations

Effects of motivation to use social networking sites on students’ media literacy and critical thinking

Shieh,

Nasongkhla

2024

ONLINE J COMMUN MEDIA TECHNOL

View full text Add to dashboard Cite

show abstract

“…Lastly, the K-means clustering was realized with the use of the distance function obtained from the linear fusion of the two similarities. Yang and Wang (2021) presented propose a new TM called AOTM (Author co-Occurring Topic Model) for extracting the topics from short user comments and normal text. By taking authorship into account, AOTM provides each author of short text with a probability distribution over a collection of themes exemplified solely short texts.…”

Section: Global Word Co-occurrences Based Asttm Modelsmentioning

confidence: 99%

Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis

et al. 2022

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Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly embraced by individuals, groups, and organizations as a valuable source of information. This social media generated information comes in the form of tweets or posts, and normally characterized as short text, huge, sparse, and low density. Since many real-world applications need semantic interpretation of such short texts, research in Short Text Topic Modeling (STTM) has recently gained a lot of interest to reveal unique and cohesive latent topics. This article examines the current state of the art in STTM algorithms. It presents a comprehensive survey and taxonomy of STTM algorithms for short text topic modelling. The article also includes a qualitative and quantitative study of the STTM algorithms, as well as analyses of the various strengths and drawbacks of STTM techniques. Moreover, a comparative analysis of the topic quality and performance of representative STTM models is presented. The performance evaluation is conducted on two real-world Twitter datasets: the Real-World Pandemic Twitter (RW-Pand-Twitter) dataset and Real-world Cyberbullying Twitter (RW-CB-Twitter) dataset in terms of several metrics such as topic coherence, purity, NMI, and accuracy. Finally, the open challenges and future research directions in this promising field are discussed to highlight the trends of research in STTM. The work presented in this paper is useful for researchers interested in learning state-of-the-art short text topic modelling and researchers focusing on developing new algorithms for short text topic modelling.

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External information enhancing topic model based on graph neural network

Song,

Lu,

Hong

et al. 2025

Expert Systems with Applications

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Author topic model for co-occurring normal documents and short texts to explore individual user preferences

Cited by 8 publications

References 23 publications

Effects of motivation to use social networking sites on students’ media literacy and critical thinking

Effects of motivation to use social networking sites on students’ media literacy and critical thinking

Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis

External information enhancing topic model based on graph neural network

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