Patterns of news dissemination through online news media: A case study in China

Wang, Youzhong; Zeng, Daniel; Zhu, Bin; Zheng, Xiaolong; Wang, Fei‐Yue

doi:10.1007/s10796-012-9358-9

Cited by 13 publications

(8 citation statements)

References 41 publications

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“…Oh et al (2013) also study Twitter data from three extreme events to find that information without any clear source is at the top, personal involvement comes second, with anxiety at third place in the list of rumour causing factors during social crisis events. Wang et al (2014) affirm that news spreads widely through online portals. They find that news first posted even on a small news portal can be picked and reposted by a major news portal, forming a hotspot event for the news to rapidly spread over the Internet.…”

Section: Role Of Social Media During Critical/extreme Eventsmentioning

confidence: 94%

Advances in Social Media Research: Past, Present and Future

et al. 2017

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Social media comprises communication websites that facilitate relationship forming between users from diverse backgrounds, resulting in a rich social structure. User generated content encourages inquiry and decision-making. Given the relevance of social media to various stakeholders, it has received significant attention from researchers of various fields, including information systems. There exists no comprehensive review that integrates and synthesises the findings of literature on social media. This study discusses the findings of 132 papers (in selected IS journals) on social media and social networking published between 1997 and 2017. Most papers reviewed here examine the behavioural side of social media, investigate the aspect of reviews and recommendations, and study its integration for organizational purposes. Furthermore, many studies have investigated the viability of online communities/social media as a marketing medium, while others have explored various aspects of social media, including the risks associated with its use, the value that it creates, and the negative stigma attached to it within workplaces. The use of social media for information sharing during critical events as well as for seeking and/ or rendering help has also been investigated in prior research. Other contexts include political and public administration, and the comparison between traditional and social media. Overall, our study identifies multiple emergent themes in the existing corpus, thereby furthering our understanding of advances in social media research. The integrated view of the extant literature that our study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field.

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Section: Role Of Social Media During Critical/extreme Eventsmentioning

confidence: 94%

Advances in Social Media Research: Past, Present and Future

et al. 2017

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“…This novelty of framework enables it to be applicable in many similar problems and not restricted to WVC problems only. It can equally be applicable to any text based document collection like emails, research papers, news collection [49] and many more. (f) In NGD, we consider frequency threshold for terms selection equal to 100, and get the participation of about 48% terms in semantic similarity model.…”

Section: Results Discussionmentioning

confidence: 99%

Semi-supervised evolutionary ensembles for Web video categorization

Mahmood

Yang

et al. 2015

Knowledge-Based Systems

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“…These preprocessing methods include data collection, web page content extraction, Chinese and English word segmentation, etc. Literature introduces the classi cation of news pages, so that users can browse news more conveniently and effectively [12]. In this paper, the classi cation method for target text is completed through system design, and the dimension of text can be reduced to reduce the system processing resource consumption [13].…”

Section: Related Workmentioning

confidence: 99%

Analysis of news communication strategy in all media era based on data mining

2023

Preprint

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In the process of information interaction, the information terminal will complete the integration of information in different media forms through conversion technology, including pictures, text, audio and other forms that can be converted into unified standard digital information. Therefore, in today's changing day by day, the material form of media is constantly evolving, and different media are starting to cooperate with each other to exchange information and weaken the industry boundaries, so that the media development has a trend of integration and transformation. In the process of continuous development of news communication technology, the information service structure is optimized according to the actual needs of the audience, so as to improve the user's attention. In the context of all media era, only a few media systems implement event representation based on LDA or n-gram model. In this paper, we introduce data mining technology to express the algorithm through vector space model, and further establish news model. Through the simulation experiment, it is concluded that the news model established in this paper can efficiently represent the target news. After a certain number of pages are retrieved, the original algorithm will arrange and represent irrelevant pages, and the relevance of the optimized algorithm is obviously better than the original algorithm. Therefore, text matching with the original HITS algorithm can perfectly improve the topic shift problem, so as to better achieve news expression, and further analyze the news communication strategy in the all media era. By introducing data mining technology, this paper completes the analysis of news communication strategies in the context of the all media era.

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Patterns of news dissemination through online news media: A case study in China

Cited by 13 publications

References 41 publications

Advances in Social Media Research: Past, Present and Future

Advances in Social Media Research: Past, Present and Future

Semi-supervised evolutionary ensembles for Web video categorization

Analysis of news communication strategy in all media era based on data mining

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