Relevant bibliographies by topics / Blog data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Blog data'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Blog data"

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Hazzan, Orit, and Koby Mike. "A journal for interdisciplinary data science education." Communications of the ACM 64, no. 8 (2021): 10–11. http://dx.doi.org/10.1145/3469281.

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The Communications website, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications , we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter.com/blogCACM http://cacm.acm.org/blogs/blog-cacm Orit Hazzan and Koby Mike on the need for a journal to cover data science education exclusively.
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Zhou, Xue Mei, and Yi Zhe Liu. "Data Detection, Tracking and Sentiment Analysis Based on Micro-Blog Data." Advanced Materials Research 1079-1080 (December 2014): 609–13. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.609.

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With development of information technology and network technique, as information media micro-blog becomes more and more important. Micro-blog is noted for preeminent simple, convenient and interactivity. However with the help of micro-blog, fake information is rampant increasingly. The public opinion analysis of micro-blog data allows of no delay. This paper explicates the features of micro-blog text, and then describes text information extraction technology such as top detection, tracking in detail. The outcomes of information extraction can inform government department spot of internet public opinion in real time.
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Wiktorsson, Maria. "How hybrid is blog data? A comparison between speech, writing and blog data in Swedish." Nordic Journal of Linguistics 41, no. 3 (2018): 367–77. http://dx.doi.org/10.1017/s0332586518000185.

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The new forms of written online communication offer a great resource for researchers interested in language variation and use, but more large-scale systematic research into the nature of the data is needed. For instance, Swedish blog data is often described as more informal and spoken in nature than traditional edited written material but overall systematic comparisons are lacking. This short communication contributes systematic comparisons between blog data and spoken and written registers by comparing measures such as type/token ratios and word frequencies. Type/token ratios of blog texts are found to lie between those for interactive speech and formal edited writing, whereas the distribution of words from different frequency bands is closer to the written material. Comparison of the ten most frequent word forms indicates that blog data resembles formal edited writing from a structural perspective, but also suggests that further studies into features of personal involvement may provide additional insights.
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Pang, Xiongwen, Benshuai Wan, Huifang Li, and Weiwei Lin. "MR-LDA." International Journal of Grid and High Performance Computing 8, no. 4 (2016): 100–113. http://dx.doi.org/10.4018/ijghpc.2016100106.

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Latent Dirichlet Allocation(LDA) is an efficient method of text mining,but applying LDA directly to Chinese micro-blog texts will not work well because micro-blogs are more social, brief, and closely related with each other. Based on LDA, this paper proposes a Micro-blog Relation LDA model (MR-LDA), which takes the relations between Chinese micro-blog documents and other Chinese micro-blog documents into consideration to help topic mining in micro-blog. The authors extend LDA in the following two points. First, they aggregate several Chinese micro-blogs as a single micro-blog document to solve the problem of short texts. Second, they model the generation process of Chinese micro-blogs more accurately by taking relationship between micro-blog documents into consideration. MR-LDA is more suitable to model Chinese micro-blog data. Gibbs sampling method is borrowed to inference the model. Experimental results on actual datasets show that MR-LDA model can offer an effective solution to text mining for Chinese micro-blog.
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Devi, Svaradiva Anurdea, and Pinckey Triputra. "ETHICS AND DATA VERIFICATION ON PAID-CONTENT BLOG (INTERPRETIVE STUDY ON INDONESIAN BLOGGER)." Profetik: Jurnal Komunikasi 13, no. 1 (2020): 102. http://dx.doi.org/10.14421/pjk.v13i1.1900.

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Abstrak. Akhir-akhir ini popularitas penggunaan konten blog berbayar sebagai salah satu marketing konten digital meningkat. Para peneliti menemukan bahwa terdapat lebih dari 180 blogger Indonesia yang menawarkan layanan blogger di platform sociabuzz.com per 2019. Pengguna internet sering merujuk pada review produk di blog sebelum membeli produk. Fenomena ini disadari oleh praktisi humas yang menggunakan blog sebagai cara untuk memasarkan produk mereka. Namun, belum ada penelitian terkait penerapan etika blog kepada pembuat konten blog berbayar di Indonesia. Penelitian ini berupaya menganalisis penerapan etika blogger dalam proses pembuatan konten menggunakan empat prinsip etika blogger oleh Cenite dkk. (2009) sebagai unit analisis untuk penelitian ini. Penelitian ini menganalisis pengetahuan blogger akan etika blogger dengan mewawancarai dua pemimpin komunitas blogger di Indonesia dan mengamati cara mereka menulis blog konten berbayar dan konten tidak berbayar. Peneliti mewawancarai mereka tentang proses pembuatan konten, proses verifikasi data, dan empat prinsip etika blogger, yaitu atribusi, akuntabilitas, meminimalkan bahaya, dan pengungkapan kebenaran. Peneliti menemukan bahwa atribusi dianggap penting oleh kedua narasumber, dan proses pengungkapan kebenaran dihindari dalam membuat konten berbayar. Disimpulkan bahwa kedua informan menerapkan standar ganda antara konten berbayar dan tidak berbayar. Abstract. Lately, the popularity of using blog paid-content as one of digital content marketing has risen. Researchers found that there were more than 180 Indonesian bloggers offering blogger services on the sociabuzz.com platform per 2019. Internet users often refer to a product review on a blog before buying products. This phenomenon was realized by public relations practitioners in which using blogs as a way to market their products. However, there has been no research related to the application of blog ethics to the paid blog content creators in Indonesia. This research attempts to analyze the application of ethics as a blogger in the process of content creation using the four ethical principles of bloggers by Cenite et al. (2009) as the unit of analysis for this study. This research analyzed the awareness of bloggers about the ethics of bloggers by interviewing two leaders of the blogger community in Indonesia and observed the way they write a paid-content and non-paid-content blog. Researchers interviewed them about the process of creating content, the data verification process, and the four blogger ethical principles, namely attribution, accountability, minimizing danger, and truth-telling. Researchers found that attribution was considered important by the two speakers, and the truth-disclosure process was avoided in making paid content. It is concluded that both informants applied a double standard between paid and non-paid content.
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Jia, Keliang, and Zhinuo Li. "Study on the Influential Factors of Micro-blog Forwarding." E3S Web of Conferences 253 (2021): 03014. http://dx.doi.org/10.1051/e3sconf/202125303014.

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The secondary forwarding of micro-blog can realize the fission transmission of micro-blog information, so the researches on Influential Factors of micro-blog retweeting has become a research hotspot of current scholars. Based on Lasswell’s 5W model, this paper comprehensively analyzes the factors influencing micro-blog forwarding from the standpoint of disseminator, content, channel and audience, and puts forward 16 research hypotheses, then constructs an influential factors model of micro-blog retweeting, and finally verifies the hypothesis based on binary logistic regression analysis model. Data analysis results show that the count of the fans of a disseminator, count of micro-blogs of a disseminator, mean count of micro-blogs being forwarded of a disseminator, mean count of micro-blogs being commented and thumbed of a disseminator, length of micro-blog, popularity of micro-blog, followees count of an audience, activity of audience retweeting, an audience’s retweeting concern to his followee show a positive effect on the behavior of retweeting, while richness of micro-blog, emotion words, count of fans of the audience have a negative impact on the retweeting behavior.
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Lu, Junru, Le Chen, Kongming Meng, et al. "Identifying User Profile by Incorporating Self-Attention Mechanism based on CSDN Data Set." Data Intelligence 1, no. 2 (2019): 160–75. http://dx.doi.org/10.1162/dint_a_00009.

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With the popularity of social media, there has been an increasing interest in user profiling and its applications nowadays. This paper presents our system named UIR-SIST for User Profiling Technology Evaluation Campaign in SMP CUP 2017. UIR-SIST aims to complete three tasks, including keywords extraction from blogs, user interests labeling and user growth value prediction. To this end, we first extract keywords from a user's blog, including the blog itself, blogs on the same topic and other blogs published by the same user. Then a unified neural network model is constructed based on a convolutional neural network (CNN) for user interests tagging. Finally, we adopt a stacking model for predicting user growth value. We eventually receive the sixth place with evaluation scores of 0.563, 0.378 and 0.751 on the three tasks, respectively.
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Agustin, Nur Isnaini Wulan. "THE IMPLEMENTATION OF BLOG BASED LEARNING IN INTERPRETING CLASS AT THE SIXTH SEMESTER STUDENTS OF ENGLISH EDUCATION DEPARTMENT." Journal of Sustainable Development Education and Research 3, no. 1 (2019): 81. http://dx.doi.org/10.17509/jsder.v3i1.17174.

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Blogs Based Learning is one of media in teaching which bringssignificant role unexceptionally in interpreting class. This studyaims to describe the implementation of Blog Based Learningin interpreting class, which would become more sustainable by... of the use of currently popular technology. This research isconducted to gain insights into the implementation of BlogBased Learning, problems faced by the teacher, and solutionsto solve those problems. The researcher got the data fromscripton, event, information, and document. The techniques ofcollecting data are the observation, interview and documentationin teacher’s blogs to clarify the implementation of Blog BasedLearning. The finding showed that the implementation of Blog iswell executed although the uses of blogs are not fully carried outin interpreting class fully. The challenges faced by the teacherin implementing the blogs are mostly related to teacher’s lack ofmanagement to maximize Blog Based Learning and the difficultyin improving students’ awareness. There are several solutionsproposed by the teacher in the implementation of Blog BasedLearning are building a good management and communicatingthe importance of active participations in interpreting classthrough blogs. Some students have low awareness in accessingblogs for additional source for their learning. Both teacher andstudents required to collaborate each other in making goodmedia for teaching and learning process.
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Ou, Guo Hua, Chang Jian Xu, Hao Xun Zhan, Yong Qin, and Han Huang. "Interest Mining Algorithm Based on Blog Information." Applied Mechanics and Materials 423-426 (September 2013): 2712–15. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2712.

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Recently, the amount of blogs on the Internet rises sharply. Hence, mining valuable information in blogs possesses realistic significance for improving user experience, network services, etc. This paper proposes a mining algorithm with blog authors' interests based on classification techniques, which introduces an evaluation standard of non-empty intersection. This algorithm can also improve the hit ratio of recommendation service based on blog authors' interests by means of the interest collection from expanding prediction; therefore, it can reach a higher degree of satisfaction. In addition, this paper performs experiments with the data set from Sina Blog and NetEase Blog, whose result illustrates the higher accuracy of our algorithm. Keywords: Blog mining; Interest mining; Classification algorithm; Non-empty intersection.
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Shan, Siqing, Jihong Shi, and Qi Yan. "Blog Recommendation and Management Implications in an Emergency Context: An Information Entropy Perspective." Asia-Pacific Journal of Operational Research 34, no. 01 (2017): 1740007. http://dx.doi.org/10.1142/s0217595917400073.

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A modeling methodology for blog recommendation and forecasting based on information entropy is presented. With the increasing popularity of smartphones and the rapid development of the mobile Internet, the amount of user-generated content such as blogs is increasing daily. Valuable information, such as bloggers’ opinions, feelings, and attitudes, is often part of this content. Particularly in the context of an emergency, this information should also be used to facilitate decision making. The current blog recommendation model examines primarily users’ interests or content similarity, whereas in this paper, the value of the blog is considered. The primary contribution of this paper is the proposal of an information-entropy-based blog recommendation model for finding valuable blogs to facilitate decision-making in an emergency context. A series of indicators for evaluating a blog in an emergency context are proposed. Using the method of information entropy, a blog recommendation model is developed. The model can also be used to forecast the value of emergency blogs in the future. The model has been tested and validated using crawled data from the Sina Blog, and the results have demonstrated that the proposed model can effectively determine the value of emergency-related blogs.
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Dissertations / Theses on the topic "Blog data"

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Koh, Kok Chuan. "Modeling Alcohol Consumption Using Blog Data." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc271843/.

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How do the content and writing style of people who drink alcohol beverages stand out from non-drinkers? How much information can we learn about a person's alcohol consumption behavior by reading text that they have authored? This thesis attempts to extend the methods deployed in authorship attribution and authorship profiling research into the domain of automatically identifying the human action of drinking alcohol beverages. I examine how a psycholinguistics dictionary (the Linguistics Inquiry and Word Count lexicon, developed by James Pennebaker), together with Kenneth Burke's concept of words as symbols of human action, and James Wertsch's concept of mediated action provide a framework for analyzing meaningful data patterns from the content of blogs written by consumers of alcohol beverages. The contributions of this thesis to the research field are twofold. First, I show that it is possible to automatically identify blog posts that have content related to the consumption of alcohol beverages. And second, I provide a framework and tools to model human behavior through text analysis of blog data.
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Rodrigues, Kelly De Conti [UNESP]. "Jornalismo de dados na web: estudo da produção de sentido na infografia do Blog do Estadão Dados e do La Nación Data Blog." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/144483.

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Submitted by KELLY DE CONTI RODRIGUES null (decontik@yahoo.com.br) on 2016-10-26T06:36:43Z No. of bitstreams: 1 Dissertação.pdf: 3539385 bytes, checksum: 160cbf009f07f415bf5b55483b84a52e (MD5)<br>Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-11-01T14:58:41Z (GMT) No. of bitstreams: 1 rodrigues_kc_me_bauru.pdf: 3539385 bytes, checksum: 160cbf009f07f415bf5b55483b84a52e (MD5)<br>Made available in DSpace on 2016-11-01T14:58:41Z (GMT). No. of bitstreams: 1 rodrigues_kc_me_bauru.pdf: 3539385 bytes, checksum: 160cbf009f07f415bf5b55483b84a52e (MD5) Previous issue date: 2016-08-30<br>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)<br>O estudo busca compreender a emergência da infografia em base de dados no jornalismo digital, a partir da investigação da estruturação discursiva dos dados textuais e imagéticos. Para isso, a análise empírica foca os casos do Blog Estadão Dados e La Nación Data Blog. Inicialmente, pretende-se definir, a partir de pesquisa bibliográfica e da análise dos casos específicos, o que pode ser considerado jornalismo de banco de dados, bem como as técnicas de composição e a evolução histórica da área da infografia. A pesquisa se guia, sobretudo, pela metodologia da análise do discurso para investigar a construção de sentido na organização de dados estatísticos no jornalismo digital, focando os casos das páginas do Blog Estadão Dados e La Nación Data Blog. A análise contempla as técnicas de organização dos infográficos na internet que são utilizadas para produção dos conteúdos gerados a partir de dados estatísticos, incluindo aqueles apresentados em tabelas e também os que estão dispostos em ilustrações, como mapas, gráficos e outros recursos imagéticos. Foram estudados como os processos de inovação tecnológica impactaram na produção e transmissão de mensagens na organização infográfica na internet analisando o impacto de recursos visuais e interativos que contribuem para a produção de sentido. A presente pesquisa espera contribuir para a reflexão sobre os efeitos semânticos e os processos argumentativos nos objetos selecionados, questionando a visão de narrativa objetiva e de interpretação única, costumeiramente atribuída a dados numéricos.<br>This research has the intention to understand the emergence of infographics that use databases in digital journalism. We will study the different composition techniques and effects of meaning in the combination between text and image. For this, the empirical analysis will focus on the cases of Estadão Data Blog and La Nación Data Blog . Initially, we intend to define, from literature search and analysis of specific cases, what can be considered data-driven journalism. The historical evolution of kinds of use of infographics in journalism will also be studied. The research uses the methodology of discourse analysis to investigate the construction of meaning in the organization of statistical data in digital journalism, focusing on the cases of Blog do Estadão Dados and La Nación Data Blog. The analysis will include the technical organization of infographics that are used for production of content generated from statistical data, including those organized in tables and also those who are willing to graphics, such as charts and any other pictorial resources. We will study how the processes of technological innovation impacted the production and transmission of messages on the internet, specially focusing organization of infographics, analyzing the impact of visual and interactive features that contribute to the production of meaning. This research hopes to contribute to studies about semantic effects and argumentative processes, challenging the point of view of unique interpretation customarily attributed to numerical data.<br>FAPESP: 2014/06386-0
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Rodrigues, Kelly De Conti. "Jornalismo de dados na web : estudo da produção de sentido na infografia do Blog do Estadão Dados e do La Nación Data Blog /." Bauru, 2016. http://hdl.handle.net/11449/144483.

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Orientador: Eliza Bachega Casadei<br>Banca: Mauro de Souza Ventura<br>Banca: Elizabeth Nicolau Saad Corrêa<br>Resumo: O estudo busca compreender a emergência da infografia em base de dados no jornalismo digital, a partir da investigação da estruturação discursiva dos dados textuais e imagéticos. Para isso, a análise empírica foca os casos do Blog Estadão Dados e La Nación Data Blog. Inicialmente, pretende-se definir, a partir de pesquisa bibliográfica e da análise dos casos específicos, o que pode ser considerado jornalismo de banco de dados, bem como as técnicas de composição e a evolução histórica da área da infografia. A pesquisa se guia, sobretudo, pela metodologia da análise do discurso para investigar a construção de sentido na organização de dados estatísticos no jornalismo digital, focando os casos das páginas do Blog Estadão Dados e La Nación Data Blog. A análise contempla as técnicas de organização dos infográficos na internet que são utilizadas para produção dos conteúdos gerados a partir de dados estatísticos, incluindo aqueles apresentados em tabelas e também os que estão dispostos em ilustrações, como mapas, gráficos e outros recursos imagéticos. Foram estudados como os processos de inovação tecnológica impactaram na produção e transmissão de mensagens na organização infográfica na internet analisando o impacto de recursos visuais e interativos que contribuem para a produção de sentido. A presente pesquisa espera contribuir para a reflexão sobre os efeitos semânticos e os processos argumentativos nos objetos selecionados, questionando a visão de narrativa objetiva e de interpr... (Resumo completo, clicar acesso eletrônico abaixo)<br>Abstract: This research has the intention to understand the emergence of infographics that use databases in digital journalism. We will study the different composition techniques and effects of meaning in the combination between text and image. For this, the empirical analysis will focus on the cases of Estado Data Base Blog and La Nación Data Bolog. Initially, we intend to define, from literature search and analysis of specific cases, what can be considered data-driven journalism. The historical evolution of kinds of use of infographics in journalism will also be studied. The research users the methodology of discourse analysis to investigate the construction of meaning in the organization of statistical data in digital journalism, focusing on the cases of Blog do Estadão Dados and La Nación Data Blog. The analysis will include the technical organization of ingographics that are used for production of content generated from statistical data, including those organized in tables and also those who are willing to graphics, such as charts and any other pictorial resources. We will study how the processes of technological innovation impacted the production and transmission of messages on the internet, specially focusing organization of infographics, analyzing the impact of visual and interactive features that contribute to the production of meaning. This research hopes to contribute to studies about semantic effects and argumentatitve processes, challenging the point of view of unique interpretation customarily attributed to numerical data<br>Mestre
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Lutzky, Ursula, and Andrew Kehoe. ""I apologise for my poor blogging": Searching for Apologies in the Birmingham Blog Corpus." Springer Nature, 2017. http://dx.doi.org/10.1007/s41701-017-0004-0.

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This study addresses a familiar challenge in corpus pragmatic research: the search for functional phenomena in large electronic corpora. Speech acts are one area of research that falls into this functional domain and the question of how to identify them in corpora has occupied researchers over the past 20 years. This study focuses on apologies as a speech act that is characterised by a standard set of routine expressions, making it easier to search for with corpus linguistic tools. Nevertheless, even for a comparatively formulaic speech act, such as apologies, the polysemous nature of forms (cf. e.g. I am sorry vs. a sorry state) impacts the precision of the search output so that previous studies of smaller data samples had to resort to manual microanalysis. In this study, we introduce an innovative methodological approach that demonstrates how the combination of different types of collocational analysis can facilitate the study of speech acts in larger corpora. By first establishing a collocational profile for each of the Illocutionary Force Indicating Devices associated with apologies and then scrutinising their shared and unique collocates, unwanted hits can be discarded and the amount of manual intervention reduced. Thus, this article introduces new possibilities in the field of corpus-based speech act analysis and encourages the study of pragmatic phenomena in large corpora.
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Cheng, Wenqian. "Statistical data mining for Sina Weibo, a Chinese micro-blog : sentiment modelling and randomness reduction for topic modelling." Thesis, London School of Economics and Political Science (University of London), 2017. http://etheses.lse.ac.uk/3488/.

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Before the arrival of modern information and communication technology, it was not easy to capture people’s thoughts and sentiments; however, the development of statistical data mining techniques and the prevalence of mass social media provide opportunities to capture those trends. Among all types of social media, micro-blogs make use of the word limit of 140 characters to force users to get straight to thepoint, thus making the posts brief but content-rich resources for investigation. The data mining object of this thesis is Weibo, the most popular Chinese micro-blog. In the first part of the thesis, we attempt to perform various exploratory data mining on Weibo. After the literature review of micro-blogs, the initial steps of data collection and data pre-processing are introduced. This is followed by analysis of the time of the posts, analysis between intensity of the post and share price, term frequency and cluster analysis. Secondly, we conduct time series modelling on the sentiment of Weibo posts. Considering the properties of Weibo sentiment, we mainly adopt the framework of ARMA mean with GARCH type conditional variance to fit the patterns. Other distinct models are also considered for negative sentiment for its complexity. Model selection and validation are introduced to verify the fitted models. Thirdly, Latent Dirichlet Allocation (LDA) is explained in depth as a way to discover topics from large sets of textual data. The major contribution is creating a Randomness Reduction Algorithm applied to post-process the output of topic models, filtering out the insignificant topics and utilising topic distributions to find out the most persistent topics. At the end of this chapter, evidence of the effectiveness of the Randomness Reduction is presented from empirical studies. The topic classification and evolution is also unveiled.
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Nygren, Robert, and Martin Johansson. "Utveckling av moduler för DotNetNuke-baserade CMS/CRM-system." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-503.

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<p>INVID Jönköping AB is an IT-consultant company. They are a part of the INVID-group that employ about 140 people and are represented in ten different locations in Sweden. INVIDs business areas include development and customization of web applications. The company has been developing a web publishing tool, INVID Publisher.NET. Small- and medium sized companies are offered hosting of a complete web portal/platform with Content Management System/Customer Relationship Management (CMS/CRM) functionality. Customers can manage the content published on web pages. They can choose among a set of templates were there are modules for example text/html and news. To find the right template for the purpose can be a difficult task for the customer.</p><p>The purpose of our report is to an answer two main questions:</p><p>• How to develop modules for DotNetNuke?</p><p>• What is the foundation for the architecture and structure of DotNetNuke?</p><p>Our goal was to create modules with the programming language VB.NET and server technology ASP.NET. We would take advantage of the DotNetNuke web application framework for developing modules that offer the customer a way to easily and effectively build new web pages with INVID Publisher .NET. The starting point for the module we have developed is based on analysis of former existing module that INVID AB was not comfortable with. We analysed and discussed the problems that the old module constituted. During the development of the module we also received feedback on our work from our tutor on INVID and other members of the development team.</p><p>Our work has lead to a template module were the customer can create new web pages based on templates and also create new templates. INVID and we also consider our module to be graphically well designed.</p><p>In the future it’s possible to further develop our module to a great extent because we have followed the principles of DotNetNuke and have written program code that is object-oriented, reusable, and extensible and is based on good programming principles and prominent design patterns.</p><br><p>INVID Jönköping AB är ett IT-konsult bolag. De ingår i INVID-gruppen som totalt sysselsätter drygt 140 personer och finns representerade på tio orter i Sverige. De är verksamma inom ett flertal IT-områden, däribland utveckling och anpassning av webbapplikationer. Företaget har under en tid arbetat med att utveckla ett webbpubliceringsverktyg, INVID Publisher.NET. Små- och medelstora- företag erbjuds en komplett webbportalplattform med Content Management System/Customer Relationship Management (CMS/CRM) funktionalitet sammankopplat med webbhotelltjänster som företaget erbjuder. Kunder har möjlighet att själva påverka det innehåll som finns publicerat på webbsidor. De kan välja bland ett antal mallar där det finns moduler för bl.a. text/bild och nyheter. Att hitta rätt mall för ändamålet kan dock vara svårt för kunden.</p><p>Vårt examensarbetes frågeställningar var följande:</p><p>• Hur utvecklar man en modul för DotNetNuke?</p><p>• Vad ligger till grund för DotNetNukes arkitektur och uppbyggnad?</p><p>Vårt mål var att skapa en eller flera moduler med programmeringsspråket VB.NET och servertekniken ASP.NET. Vi avsedde också att lära oss webbapplikationsramverket DotNetNuke för att bygga modul(er) som erbjuder kunden att enkelt och effektivt bygga nya sidor i INVID Publisher .NET. Utgångspunkten för den modul som vi utvecklade bygger på analyser av tidigare existerande mallmodul som företaget (INVID AB) inte var nöjda med. Vi analyserade och diskuterade de problem som den gamla modulen medförde. Under utvecklingens gång fick vi feedback på vårt arbete från vår handledare på företaget och andra personer från utvecklingsavdelningen.</p><p>Examensarbetet har resulterat i en fungerande mallmodul där kunden kan med lätthet skapa nya sidor utifrån mallar och även skapa nya mallar. Uppdragsgivaren och vi anser att modulen som utvecklats är mycket grafiskt väldesignad.</p><p>I framtiden kan modulen vidareutvecklas framgångsfullt bl.a. tack vare att vi i vårt utvecklingsarbete har följt DotNetNuke-ramverket och dess principer strikt. Vi har även skrivit kod som bl.a. karakteriseras av att den är objektorienterad, återanvändbar, utbyggbar och bygger på goda programmeringsprinciper och framstående designmönster.</p>
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Riedel, Jana, Susann Berthold, and Kathrin Möbius. "Kommunikation und Zusammenarbeit mit digitalen Medien unterstützen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-217422.

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Die vorliegende Broschüre ist Teil einer Publikationsserie, die einen Überblick über verschiedene Medienformate von digitalen Texten über elektronische Tests und Wikis bis hin zu digitalen Simulationen gibt. Dieses Heft widmet sich schwerpunktmäßig der Verwendung von Kommunikationsmedien, die die Lehre in den bereichen Organisation, Betreuung und Zusammenarbeit unterstützen können. Anhand von Ergebnissen einer Online-Befragung im Jahr 2016 und Interviews, die Beispiele aus der Lehre sächsischer Hochschullehrender vorstellen, wird aufgezeigt, welche Einsatzmöglichkeiten derzeit an den sächsischen Hochschulen genutzt werden. Sie bieten Inspiration für die Entwicklung eigener mediengestützter Lehrkonzepte. Hinweise auf Werkzeuge zur Erstellung digitaler Lehrangebote und Antworten zu häufigen Fragen bei der Nutzung der einzelnen Medienformate bieten Anregungen und Informationen, wie der Einstieg in die digital gestützte Lehre möglichst ohne großen Initialaufwand gestaltet werden kann. Antworten auf häufig gestellte Fragen, praktische Tipps und rechtliche Hinweise geben eine erste Orientierung und Sicherheit bei der Nutzung digitaler Medien. Dabei erfahren Sie auch, wie Sie die einzelnen medial gestützten Formate mit der klassischen Präsenzlehre verbinden und wie unterschiedliche Einsatzszenarien miteinander kombiniert werden können.
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Riedel, Jana, Susan Berthold, and Kathrin Möbius. "Kommunikation und Zusammenarbeit mit digitalen Medien unterstützen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-231759.

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Die vorliegende Broschüre ist Teil einer Publikationsserie, die einen Überblick über verschiedene Medienformate von digitalen Texten über elektronische Tests und Wikis bis hin zu digitalen Simulationen gibt. Dieses Heft widmet sich schwerpunktmäßig der Verwendung von Kommunikationsmedien, die die Lehre in den bereichen Organisation, Betreuung und Zusammenarbeit unterstützen können. Anhand von Ergebnissen einer Online-Befragung im Jahr 2016 und Interviews, die Beispiele aus der Lehre sächsischer Hochschullehrender vorstellen, wird aufgezeigt, welche Einsatzmöglichkeiten derzeit an den sächsischen Hochschulen genutzt werden. Sie bieten Inspiration für die Entwicklung eigener mediengestützter Lehrkonzepte. Hinweise auf Werkzeuge zur Erstellung digitaler Lehrangebote und Antworten zu häufigen Fragen bei der Nutzung der einzelnen Medienformate bieten Anregungen und Informationen, wie der Einstieg in die digital gestützte Lehre möglichst ohne großen Initialaufwand gestaltet werden kann. Antworten auf häufig gestellte Fragen, praktische Tipps und rechtliche Hinweise geben eine erste Orientierung und Sicherheit bei der Nutzung digitaler Medien. Dabei erfahren Sie auch, wie Sie die einzelnen medial gestützten Formate mit der klassischen Präsenzlehre verbinden und wie unterschiedliche Einsatzszenarien miteinander kombiniert werden können.
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Riedel, Jana, Susan Berthold, and Kathrin Möbius. "Kommunikation und Zusammenarbeit mit digitalen Medien unterstützen." Technische Universität Dresden, 2017. https://tud.qucosa.de/id/qucosa%3A30701.

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Die vorliegende Broschüre ist Teil einer Publikationsserie, die einen Überblick über verschiedene Medienformate von digitalen Texten über elektronische Tests und Wikis bis hin zu digitalen Simulationen gibt. Dieses Heft widmet sich schwerpunktmäßig der Verwendung von Kommunikationsmedien, die die Lehre in den bereichen Organisation, Betreuung und Zusammenarbeit unterstützen können. Anhand von Ergebnissen einer Online-Befragung im Jahr 2016 und Interviews, die Beispiele aus der Lehre sächsischer Hochschullehrender vorstellen, wird aufgezeigt, welche Einsatzmöglichkeiten derzeit an den sächsischen Hochschulen genutzt werden. Sie bieten Inspiration für die Entwicklung eigener mediengestützter Lehrkonzepte. Hinweise auf Werkzeuge zur Erstellung digitaler Lehrangebote und Antworten zu häufigen Fragen bei der Nutzung der einzelnen Medienformate bieten Anregungen und Informationen, wie der Einstieg in die digital gestützte Lehre möglichst ohne großen Initialaufwand gestaltet werden kann. Antworten auf häufig gestellte Fragen, praktische Tipps und rechtliche Hinweise geben eine erste Orientierung und Sicherheit bei der Nutzung digitaler Medien. Dabei erfahren Sie auch, wie Sie die einzelnen medial gestützten Formate mit der klassischen Präsenzlehre verbinden und wie unterschiedliche Einsatzszenarien miteinander kombiniert werden können.:Grußwort 3 Kommunikationsanlässe in der Lehrveranstaltung 4 Nutzung von Web 2.0 und Social Media für das Studium 6 Video-/Audio-/Chatkonferenzen 7 Foren 17 Blogs 23 Wikis 29 Trend: weitere Tools für die Online-Zusammenarbeit 37 Ausblick 38 Unterstützung, Services, Kontakt 39
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Riedel, Jana, Susann Berthold, and Kathrin Möbius. "Kommunikation und Zusammenarbeit mit digitalen Medien unterstützen." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A30113.

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Die vorliegende Broschüre ist Teil einer Publikationsserie, die einen Überblick über verschiedene Medienformate von digitalen Texten über elektronische Tests und Wikis bis hin zu digitalen Simulationen gibt. Dieses Heft widmet sich schwerpunktmäßig der Verwendung von Kommunikationsmedien, die die Lehre in den bereichen Organisation, Betreuung und Zusammenarbeit unterstützen können. Anhand von Ergebnissen einer Online-Befragung im Jahr 2016 und Interviews, die Beispiele aus der Lehre sächsischer Hochschullehrender vorstellen, wird aufgezeigt, welche Einsatzmöglichkeiten derzeit an den sächsischen Hochschulen genutzt werden. Sie bieten Inspiration für die Entwicklung eigener mediengestützter Lehrkonzepte. Hinweise auf Werkzeuge zur Erstellung digitaler Lehrangebote und Antworten zu häufigen Fragen bei der Nutzung der einzelnen Medienformate bieten Anregungen und Informationen, wie der Einstieg in die digital gestützte Lehre möglichst ohne großen Initialaufwand gestaltet werden kann. Antworten auf häufig gestellte Fragen, praktische Tipps und rechtliche Hinweise geben eine erste Orientierung und Sicherheit bei der Nutzung digitaler Medien. Dabei erfahren Sie auch, wie Sie die einzelnen medial gestützten Formate mit der klassischen Präsenzlehre verbinden und wie unterschiedliche Einsatzszenarien miteinander kombiniert werden können.:Grußwort 3 Kommunikationsanlässe in der Lehrveranstaltung 4 Nutzung von Web 2.0 und Social Media für das Studium 6 Video-/Audio-/Chatkonferenzen 7 Foren 17 Blogs 23 Wikis 29 Trend: weitere Tools für die Online-Zusammenarbeit 37 Ausblick 38 Unterstützung, Services, Kontakt 39
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Books on the topic "Blog data"

1

1958-, Liu Huan, ed. Modeling and data mining in blogosphere. Morgan & Claypool Publishers, 2009.

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Baert, Theo. Emploi d'un microordinateur dans les essais en bloc randomisés. ISABU, 1985.

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Dialogar en la Red: La lengua española en chats, e-mails, foros y blogs. P. Lang, 2008.

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Pano, Ana. Dialogar en la Red: La lengua española en chats, e-mails, foros y blogs. P. Lang, 2008.

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author, Gaier Meg C., ed. Literacy lessons for a digital world: Using blogs, wikis, podcasts, and more to meet the demands of the Common Core. Scholastic, 2014.

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Personalisierungsstrategien im E-Commerce: Die Webloganalyse als Instrument der Personalisierung im Rahmen des eCRM. Lang, 2007.

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Ltd, Gulf Resources (Kakap). Revisi rencana pengelolaan lingkungan dan rencana pemantauan lingkungan pengembangan lapangan minyak dan gas bumi Blok Kakap di Kabupaten Dati II Natuna, Propinsi Dati I Riau. Pertamina, 2000.

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Loewenstein, Antony. The blogging revolution. Melbourne University Press, 2008.

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Pole, Antoinette. Blogging the political: Politics and participation in a networked society. Routledge, 2009.

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Blogosphere: The new political arena. Lexington Books, 2007.

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Book chapters on the topic "Blog data"

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Attardi, Joe. "Sourcing Blog Data." In Using Gatsby and Netlify CMS. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6297-9_6.

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Obadimu, Adewale, Muhammad Nihal Hussain, and Nitin Agarwal. "Blog Data Analytics Using Blogtrackers." In Lecture Notes in Social Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67044-3_6.

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Feng, Shi, Daling Wang, Ge Yu, Chao Yang, and Nan Yang. "Chinese Blog Clustering by Hidden Sentiment Factors." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03348-3_16.

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Tsai, Flora S. "Blogger-Link-Topic Model for Blog Mining." In New Frontiers in Applied Data Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28320-8_3.

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Charitonidis, Christos, Awais Rashid, and Paul J. Taylor. "Predicting Collective Action from Micro-Blog Data." In Lecture Notes in Social Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51049-1_7.

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Wan, Shuo, Bohan Li, Anman Zhang, Kai Wang, and Xue Li. "Vertical and Sequential Sentiment Analysis of Micro-blog Topic." In Advanced Data Mining and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05090-0_30.

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Gao, Jing, and Wei Lai. "Formal Concept Analysis Based Clustering for Blog Network Visualization." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17316-5_38.

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Sriphaew, Kritsada, Hiroya Takamura, and Manabu Okumura. "Cool Blog Classification from Positive and Unlabeled Examples." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01307-2_9.

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Jiang, Peng, Chunxia Zhang, Qing Yang, and Zhendong Niu. "Blog Opinion Retrieval Based on Topic-Opinion Mixture Model." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13672-6_25.

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Saravanakumar, K., and K. Deepa. "Hybrid Approach for Construction of Summaries and Clusters of Blog Data for Improved Blog Search Results." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29216-3_75.

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Conference papers on the topic "Blog data"

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Hurst, Matthew, and Alexey Maykov. "Social Streams Blog Crawler." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.146.

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Obadimu, Adewale, Muhammad Nihal Hussain, and Nitin Agarwal. "Blog data analytics using blogtrackers." In ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining. ACM, 2019. http://dx.doi.org/10.1145/3341161.3343707.

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Shen, Dou, Jian-tao Sun, Qiang Yang, and Zheng Chen. "Latent Friend Mining from Blog Data." In Sixth International Conference on Data Mining (ICDM'06). IEEE, 2006. http://dx.doi.org/10.1109/icdm.2006.95.

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Dalal, Mita K., and Mukesh A. Zaveri. "Automatic Text Classification of sports blog data." In 2012 Computing, Communications and Applications Conference (ComComAp). IEEE, 2012. http://dx.doi.org/10.1109/comcomap.2012.6154802.

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Faralli, Stefano, Giovanni Stilo, and Paola Velardi. "A Semantic Recommender for Micro-blog Users." In 2015 IEEE International Congress on Big Data (BigData Congress). IEEE, 2015. http://dx.doi.org/10.1109/bigdatacongress.2015.18.

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Hsu, Pei-ling, Po-ching Liu, and Yi-shin Chen. "Using Ontology to Map Categories in Blog." In 2006 International Workshop on Integrating AI and Data Mining. IEEE, 2006. http://dx.doi.org/10.1109/aidm.2006.17.

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Singh, Lisa, and Raghu Pemmaraju. "EOS: A multilingual text archive of international newspaper & blog articles." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258559.

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Cong, Minzhang, Zhao Xiao, and Kang Zhang. "GPU acceleration of micro-blog diffusion visualization." In 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). IEEE, 2017. http://dx.doi.org/10.1109/icbda.2017.8078740.

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Yao, Junjie, Bin Cui, Zijun Xue, and Qingyun Liu. "Provenance-based Indexing Support in Micro-blog Platforms." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.36.

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Lu, Yu, and Hong Lee. "Blog Community Discovery Based on Tag Data Clustering." In 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA). IEEE, 2008. http://dx.doi.org/10.1109/paciia.2008.144.

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Reports on the topic "Blog data"

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Rudyk, Myroslava. COMMUNICATIVE FEATURES OF UKRAINIAN VIDEO BLOGS ON THE EXAMPLE OF YOUTUBE-CHANNELS OF «TORONTO TV», YANINA SOKOLOVA, AND OSTAP DROZDOV. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11111.

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The article is devoted to the study of the Ukrainian segment of video blogging as one of the most popular types of the functioning of the modern blogosphere. The content and statistics of popular video blogs were studied on the example of YouTube channels of Ukrainian bloggers and famous journalists. Today we are witnessing the rapid development of technologies that help journalists become better, and the creators of media content to work more quickly and ensure the completeness of the information. With the help of Internet communication, new ways of disseminating information have appeared in journalism. Journalists more often create their blogs on various platforms. Blogosphere video content has become very popular among the Ukrainian audience on YouTube because today the video format is the most effective in terms of communication. The YouTube social network partially replaces television, and the variety of thematic content is ably adapted to a wide audience. The paper analyzes Ukrainian blogs managed by journalists, where they publish different content formats. Therefore, the presentation of various examples of video blogs in our work helps to understand the specifics of Ukrainian blogging at its current stage of development. After all, videos of popular people such as Michael Shchur, Yanina Sokolova, Ostap Drozdov demonstrate the peculiarities of Ukrainian popular video content. For the research, we chose those blogs that are currently relevant to Ukrainian YouTube and have their specifics and uniqueness. The main objective of a blogger is to react quickly to the flow of information because the rating of the channel being monetized depends on it. With the help of statistical data, we can conclude that the Ukrainian audience is interested in a wide range of different information. Viewers now value the independent opinion of bloggers and more often listen to it. Every important event is covered by bloggers promptly. And the format in which it is presented depends on the individual style of the author and the concept of his channel. We can conclude that the video content of the modern blogosphere is developing rapidly. This provides the audience with information for different tastes.
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“What young people think matters; a qualitative approach to the study of protective factors for mental well-being”. ACAMH, 2020. http://dx.doi.org/10.13056/acamh.12214.

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This blog shares findings from a new study comprising of two parts. Part one outlines a typology of profiles of adolescent reported protective factors in relation to mental well-being and the risk of mental disorder, using qualitative data. Part two applied the typology to identify trajectories of change in type membership occurring over one year, based on adolescent reports.
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