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Analisis Faktor Model Trust Antar Pengguna Media Sosial Dalam Menerima Berita Dengan Pendekatan Ergonomi Kognitif dan Agent-Based Modeling
Get PDFTeknologi informasi dan komunikasi terus berkembang pesat dengan meningkatnya minat setiap individu atas pencarian informasi secara digital. Namun dari informasi yang tersebar di Indonesia, sebesar 62, 8% berita hoax disebarkan melalui media sosial. Dengan tingginya angka persebaran berita hoax pada media sosial, membuat banyak pengguna pemula yang menggunakan internet terancam mendapat informasi tidak benar. Sehingga untuk dapat memahami proses penyebaran informasi ini perlu dilakukan permodelan proses berpikir manusia dalam menerima informasi. Proses ini dikenal dengan human information processing model yang terdiri atas perceptual encoding, memory, dan attention resources. Kemudian untuk dapat memahami proses manusia dalam mempercayai berita perlu dilakukan analisis kogntitf trust untuk dapat memahami bagaimana seseorang dapat percaya suatu berita di media sosial. untuk dapat memahami bagaimana informasi dapat viral, perlu dilakukan pendekatan agent-based modeling dengan memodelkan interaksi tiap individu dalam kasus penyebaran informasi. Dua agen yang berperan dalam penyebaran informasi adalah trustee sebagai penyebar informasi dan trustor sebagai penerima informasi. Informasi yang diterima oleh trustor akan diolah melalui pikiran manusia dan akan memunculkan trust. Terdapat empat faktor pembentuk trust, familiarity, shared preference, information quality, dan reputasi. Setelah dilakukan permodelan simulasi, maka terdapat dua faktor yang dilakukan eksperimentasi, jumlah trustor dan tingkat pendidikan. Sehingga dilakukan enam skenario untuk jumlah trustor yaitu 50, 100, 150, 155, 160, dan 170 trustor. Lalu dilakukan satu tingkat pendidikan kondisi normal dan empat skenario untuk kondisi ekstrem SMA, S1, S2, dan S3. Berdasarkan hasil estimasi perbandingan antar skenario jumlah trustor didapatkan jumlah trustor tidak sensitif pada trustor berjumlah 150 dengan nilai rata-rata trust sebesar 0,41702. Sedangkan pada perbandingan skenario tingkat pendidikan, ditemukan perbedaan pada semua skenario, selain skenario ekstrem S1 dan S2. kemudian disimpulkan bahwa semakin tinggi tingkat pendidikan seseorang maka semakin menurun pula nilai trustnya terhadap suatu informasi yang diterima.========================================================Information and communication technology have developed rapidly with the emergence of the internet. However, the digital information has some threats. The fake informations (hoax) begins to emerge with the increases of information technology. About 62,8 % hoax information in Indonesia spread with social media. With the high number of news hoax spread on social media, making a lot of novice users who use the Internet threatened to be harmed. Therefore, this research aim to understand the process of how this information spread with modeling the human information processing on the social media. The human information-processing model consist of perceptual encoding, memory, and attention resources. The cognitive evaluation of trust is used to understand how human trusting the news that shared by other people in social media. Agent-based modeling simulations used to capture the system behavior with modeling each people in social media. There are two agent in this context, trustee the informers and trustor the information receiver. When trustors receive an information from trustee, trustor will process the information and emerging the trust. Trust is consist of four factors, familiarity, shared preference, information quality. After modeling the simulation model, there are two experiments should be done to understanding the effect of each factors, number of trustors and level of education. There are six scenarios for number of trustors experiment; it is 50, 100, 150, 155, 160, and 170 trustors. For level of education, there are five scenarios for 100% extreme condition, it is Normal condition, highschool, undergraduate, master, and doctorate level. Based on estimation result of boferroni inequality trust level will not sensitive at 150 or higher number of trustors with the average value of trust level is 0,41702 . For the level of education, there are differences for all scenario except the comparison between scenario 3 and 4. So it can be concluded that level of education will affect to information trust. The higher level of education users will have a low level of trust, and the users with low level of education will have a high trust
A Trust Model with Personality Factors for Information Dissemination in Social Networking Service
Get PDF奈良先端科学技術大学院大学博士(工学)doctoral thesi
A Trust Model with Personality Factors for Information Dissemination in Social Networking Service
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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