Acta Informatica Pragensia最新文献_第6页

Towards Re-Decentralized Future of the Web: Privacy, Security and Technology Development 走向网络的再去中心化未来:隐私、安全和技术发展

Acta Informatica Pragensia Pub Date : 2022-01-22 DOI: 10.18267/j.aip.169

Stanislav Vojíř, J. Kucera

引用次数: 3

Social Informatics Experience: A Case Study on Learning and Teaching Sociological Basics in a Technical Context 社会信息学经验:技术背景下社会学基础学习与教学的个案研究

Acta Informatica Pragensia Pub Date : 2022-01-22 DOI: 10.18267/j.aip.170

C. Wessel

{"title":"Social Informatics Experience: A Case Study on Learning and Teaching Sociological Basics in a Technical Context","authors":"C. Wessel","doi":"10.18267/j.aip.170","DOIUrl":"https://doi.org/10.18267/j.aip.170","url":null,"abstract":"To be able to play an active role in the design, creation and development of a networked society, students, scholars and practitioners need basic knowledge in social informatics. Students at a university of applied sciences attended a one-term seminar that consisted of eight two-day workshops. The students learned and used theories, concepts and methods of social informatics (SI), focusing on the sociological part of SI. The learning and teaching approach is grounded in competency-based learning. It enables students to explore a certain field. This is implemented by means of organization development, project-based learning, agile learning and teaching plus blended learning. It empowers teachers and students to work together efficiently, effectively and with joy. To learn how and why this approach worked, an embedded case study investigated the design, implementation and evaluation of the workshop series. Finally, the paper describes impediments to the communication and understanding of the term and the field of social informatics and sketches ideas how to deal with it concerning study programmes and the value social informatics can contribute to challenges like a pandemic.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47778364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What is Social Informatics from an International Perspective? 从国际角度看什么是社会信息学？

Acta Informatica Pragensia Pub Date : 2022-01-10 DOI: 10.18267/j.aip.173

Vasja Vehovar, Zdenek Smutný, A. Robbin

引用次数: 3

Personal Data as a Market Commodity in the GDPR Era: A Systematic Review of Social and Economic Aspects GDPR时代作为市场商品的个人数据：社会和经济方面的系统回顾

Acta Informatica Pragensia Pub Date : 2021-12-10 DOI: 10.18267/j.aip.168

Aleksei Zelianin

引用次数: 1

Image-based Product Recommendation Method for E-commerce Applications Using Convolutional Neural Networks 基于卷积神经网络的电子商务应用图像产品推荐方法

Acta Informatica Pragensia Pub Date : 2021-12-02 DOI: 10.18267/j.aip.167

Pegah Malekpour Alamdari, N. J. Navimipour, M. Hosseinzadeh, Ali Asghar Safaei, A. Darwesh

{"title":"Image-based Product Recommendation Method for E-commerce Applications Using Convolutional Neural Networks","authors":"Pegah Malekpour Alamdari, N. J. Navimipour, M. Hosseinzadeh, Ali Asghar Safaei, A. Darwesh","doi":"10.18267/j.aip.167","DOIUrl":"https://doi.org/10.18267/j.aip.167","url":null,"abstract":"Recommender systems (RS) are designed to eliminate the information overload problem in today's e-commerce platforms and other data-centric online services. They help users explore and exploit the system's information environment utilizing implicit and explicit data from internal e-commerce systems and user interactions. Today's product catalogues include pictures to provide visual detail at a glance. This approach can effectively convert potential buyers into customers. Since most e-commerce stores use product images to promote, arouse users' visual desires and encourage them to buy products, this paper develops an image-based RS using deep learning techniques. To perform the research, we use five convolutional neural network (CNN) models to extract the features of the products' images. Then, the system uses the features to calculate the similarity between images. The selected CNN models are VGG16, VGG19, ResNet50, Inception V3 and Xception. We also analysed four versions of the MovieLens dataset to demonstrate the accuracy improvement of the recommendations, including 100k, 1M, 10M and 20M. Results of the experiment showed a significant increase in accuracy compared with traditional approaches. Also, we express many related open issues including use of multiple images per item, different similarity metrics, other CNN models, and the hybridization of image-based and different RS techniques for future studies. This method also provides more accurate product recommendations on e-commerce platforms than traditional methods.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44593818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Body Image Esteem and Photo Manipulation Among Social Media Users 社交媒体用户的身体形象自尊与照片操纵

Acta Informatica Pragensia Pub Date : 2021-11-28 DOI: 10.18267/j.aip.166

Hai Chung Pham, Lien Nguyen, T. A. Vũ, Phuong Tran

{"title":"Body Image Esteem and Photo Manipulation Among Social Media Users","authors":"Hai Chung Pham, Lien Nguyen, T. A. Vũ, Phuong Tran","doi":"10.18267/j.aip.166","DOIUrl":"https://doi.org/10.18267/j.aip.166","url":null,"abstract":"When interacting with each other virtually on social media sites, users may potentially encounter their own “self-presence”. To improve their physical self-presence on social media, users might resolve to curate themselves to match their ideal perceptions of themselves and others. This study examines the intention to alter one’s factual self in real life whilst contemplating the on-line self on social media. Data were derived from a social survey of Vietnamese adults. The results indicate the remarkable mediating relationship from the level of editing self-images to three choices of intention to change the body image in real life. Nevertheless, this paper does not provide enough evidence to confirm any link connecting distal intentions (D-intentions), proximal intentions (P-intentions) and motor intentions (M-intentions) with private self-consciousness, with the latter as the moderator variable. This study, therefore, might provide an exclusive idea of how online behaviour can be related to one’s offline behaviour in terms of body image. With an understanding of this aspect, many implications can be found in regard to applications/programmes in research, development and marketing.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45129423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Impact of Social Media Application Qualities on Using Them for Daily News 社交媒体应用质量对日常新闻使用的影响

Acta Informatica Pragensia Pub Date : 2021-11-22 DOI: 10.18267/j.aip.164

Davod Farhadi, A. Maroosi

{"title":"Impact of Social Media Application Qualities on Using Them for Daily News","authors":"Davod Farhadi, A. Maroosi","doi":"10.18267/j.aip.164","DOIUrl":"https://doi.org/10.18267/j.aip.164","url":null,"abstract":"A model is introduced to investigate the effect of social media application qualities on the using of these applications for daily news. A standard questionnaire was designed and distributed among randomly selected social media users in the city of Neyshabur in Iran. The content of the questionnaire was validated by experts and its reliability verified using Cronbach's alpha. Random sampling was used identify participants. The SmartPLS software was used to investigate the research findings. Structural equation modelling is used for data analysis. The results show that the factors of system quality, information quality, service quality and personalization of applications affect their perceived usefulness. System quality and service quality affect the perceived ease of use of applications. However, information quality does not affect perceived ease of use. Also, the results show that perceived usefulness has a greater effect (with a path coefficient of 45%) on the attitude in respect of perceived ease of use (path coefficient of 26%). Personalization has the most positive impact on perceived usefulness and service quality has a great impact on perceived ease of use. Facilitating conditions have a positive impact on the use of social media and their use for news. Furthermore, the results show that the factors that affect the use of applications in Telegram are better than those in Viber. These findings justify why Iranian people migrate from Viber to Telegram as their social media application.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44843691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Mortality in Patients with Stroke Using Data Mining Techniques 使用数据挖掘技术预测脑卒中患者死亡率

Acta Informatica Pragensia Pub Date : 2021-11-21 DOI: 10.18267/j.aip.163

Zahra Hadianfard, Hadi Lotfnezhad Afshar, S. Nazarbaghi, B. Rahimi, T. Timpka

{"title":"Predicting Mortality in Patients with Stroke Using Data Mining Techniques","authors":"Zahra Hadianfard, Hadi Lotfnezhad Afshar, S. Nazarbaghi, B. Rahimi, T. Timpka","doi":"10.18267/j.aip.163","DOIUrl":"https://doi.org/10.18267/j.aip.163","url":null,"abstract":"The mortality due to stroke is increasing. Accurate prediction of stroke-caused death is very important for healthcare. Data mining methods are novel ways to predict these mortality risks. The aim of this study is to employ popular data mining algorithms to predict the survival of stroke patients and extract decision rules. The data on stroke patients (n=4149) were collected from paper medical records. Missing data were managed using the multiple imputation method. Also, the target variable was balanced using methods such as over-sampling, under-sampling and Synthetic Minority Oversampling (SMOTE). The support vector machine (SVM), decision tree, and logistic regression (LR) algorithms were employed to predict the survival of stroke patients. Also, the Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was used to extract the decision rules from the main dataset. LR outperformed other algorithms in terms of accuracy (76.96%), sensitivity (79.06%) and kappa (33.34). However, specificity (65.35%) and AUC (0.77) scores were lower than those of other algorithms. An independent dataset with 234 records was selected to challenge the LR algorithm with the best performance from the main dataset. After employing this algorithm on the external validation dataset, its performance was improved in accuracy (79.91%), sensitivity (83.94%), kappa (39.26) and AUC (0.8), but not in specificity (60.98%). The constructed model predicted the survival of stroke patients with high scores and useful rules were extracted for clinical usage.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43406333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hateful and Other Negative Communication in Online Commenting Environments: Content, Structure and Targets 网络评论环境中的仇恨和其他负面交流：内容、结构和目标

Acta Informatica Pragensia Pub Date : 2021-11-21 DOI: 10.18267/j.aip.165

Vasja Vehovar, D. Jontes

{"title":"Hateful and Other Negative Communication in Online Commenting Environments: Content, Structure and Targets","authors":"Vasja Vehovar, D. Jontes","doi":"10.18267/j.aip.165","DOIUrl":"https://doi.org/10.18267/j.aip.165","url":null,"abstract":"Information and communication technologies are increasingly interacting with modern societies. One specific manifestation of this interaction concerns hateful and other negative comments in online environments. Various terms appear to denote this communication, from flaming, indecency and intolerance to hate speech. However, there is still a lack of an umbrella term that broadly captures this communication. Therefore, this paper introduces the concept of socially unacceptable discourse, which serves as the basis for an empirical study that evaluated online comments scraped from the Facebook pages of the three most-visited Slovenian news outlets. Machine-learning algorithms were used to narrow the focus to topics related to refugees and LGBT rights. Ten thousand comments were manually coded to identify and structure socially undesirable discourse. The results show that about half of all comments belonged to this type of discourse, with a surprisingly stable level and structure across media (i.e., right-wing versus mainstream) and topics. Most of these comments could also be considered a potential violation of hate speech legislation. In the context of these findings, the political and ideological consequences and implications of mediatised emotions are discussed.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41823874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Book Review: Sozioinformatik - Von Menschen & Computern … und Bibern 书评：社会信息学

Acta Informatica Pragensia Pub Date : 2021-10-24 DOI: 10.18267/j.aip.156

F. Wolff

引用次数: 2