The World Wide Web (the Web) has become part of people’s daily lives. Although the Web, like the Internet itself, was designed as a decentralized network, hand in hand with the increase in its interactivity Web users gradually concentrated on a limited number of platforms. As a result, providers of these large international platforms have become centres of power that can easily influence users’ behaviour and what information they can access. This paper is based on an integrative literature review and its aim is to describe the development of the Web from its beginnings to the present. This development is viewed from the perspective of centralization of the Web and the reactions that this centralization has provoked, especially the current trends towards the so-called re-decentralized Web. More specifically, the paper focuses on the privacy imperative that might act as a driving force for the re-decentralized Web, and on the technological innovations enabling development of truly decentralized platforms and applications. This paper contributes to the discussion of implications that a wider adoption of the re-decentralized Web could bring in the near future.
{"title":"Towards Re-Decentralized Future of the Web: Privacy, Security and Technology Development","authors":"Stanislav Vojíř, J. Kucera","doi":"10.18267/j.aip.169","DOIUrl":"https://doi.org/10.18267/j.aip.169","url":null,"abstract":"The World Wide Web (the Web) has become part of people’s daily lives. Although the Web, like the Internet itself, was designed as a decentralized network, hand in hand with the increase in its interactivity Web users gradually concentrated on a limited number of platforms. As a result, providers of these large international platforms have become centres of power that can easily influence users’ behaviour and what information they can access. This paper is based on an integrative literature review and its aim is to describe the development of the Web from its beginnings to the present. This development is viewed from the perspective of centralization of the Web and the reactions that this centralization has provoked, especially the current trends towards the so-called re-decentralized Web. More specifically, the paper focuses on the privacy imperative that might act as a driving force for the re-decentralized Web, and on the technological innovations enabling development of truly decentralized platforms and applications. This paper contributes to the discussion of implications that a wider adoption of the re-decentralized Web could bring in the near future.","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":"46514100","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}
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.
{"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}
This editorial aims to summarise the special issue entitled Perspectives of Social Informatics that builds on the current international view of social informatics. The special issue consists of eight scientific articles and one book review.
{"title":"What is Social Informatics from an International Perspective?","authors":"Vasja Vehovar, Zdenek Smutný, A. Robbin","doi":"10.18267/j.aip.173","DOIUrl":"https://doi.org/10.18267/j.aip.173","url":null,"abstract":"This editorial aims to summarise the special issue entitled Perspectives of Social Informatics that builds on the current international view of social informatics. The special issue consists of eight scientific articles and one book review.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48217948","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}
With the development of modern data processing, mining and collection technologies, various companies and institutions will have more opportunities to make these data operations faster and more efficiently. From the economic perspective, processing personal data is evidently lucrative and companies would therefore like to obtain as much data as possible. This paper analyses and summarizes existing and emerging social and economic trends, implications and issues caused by clashes between European legislation on personal data protection (the GDPR) and current data processing practices. Utilizing both quantitative and qualitative data, the article attempts to scrutinize the implications of the conflict between the rising demand for privacy and personal data protection on the one hand and the ever-growing need to process and store personal data, especially by commercial organizations, on the other. Analysing databases, legislation, reports, statistical data and surveys, the paper attempts to provide an estimate of the value of personal data and the consequences of poor handling of personal data.
{"title":"Personal Data as a Market Commodity in the GDPR Era: A Systematic Review of Social and Economic Aspects","authors":"Aleksei Zelianin","doi":"10.18267/j.aip.168","DOIUrl":"https://doi.org/10.18267/j.aip.168","url":null,"abstract":"With the development of modern data processing, mining and collection technologies, various companies and institutions will have more opportunities to make these data operations faster and more efficiently. From the economic perspective, processing personal data is evidently lucrative and companies would therefore like to obtain as much data as possible. This paper analyses and summarizes existing and emerging social and economic trends, implications and issues caused by clashes between European legislation on personal data protection (the GDPR) and current data processing practices. Utilizing both quantitative and qualitative data, the article attempts to scrutinize the implications of the conflict between the rising demand for privacy and personal data protection on the one hand and the ever-growing need to process and store personal data, especially by commercial organizations, on the other. Analysing databases, legislation, reports, statistical data and surveys, the paper attempts to provide an estimate of the value of personal data and the consequences of poor handling of personal data.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46970074","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}
Pegah Malekpour Alamdari, N. J. Navimipour, M. Hosseinzadeh, Ali Asghar Safaei, A. Darwesh
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.
{"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}
Hai Chung Pham, Lien Nguyen, T. A. Vũ, Phuong Tran
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.
{"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}
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.
{"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}
Zahra Hadianfard, Hadi Lotfnezhad Afshar, S. Nazarbaghi, B. Rahimi, T. Timpka
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.
{"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}
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.
{"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}
The 2021 book on social informatics by Christa Weßel “Sozioinformatik: von Menschen & Computern ... und Bibern” [Social Informatics: About People & Computers ... and Beavers] is a contemporary and reflective overview on social informatics written in German. It is based upon the author’s rich professional experience of diverse aspects of research and development, consulting and teaching social informatics and related areas. On about two hundred pages, the book comprises a thorough survey on related and relevant disciplines, a critical assessment of the current status and diverse interpretations of the goals of social informatics.
{"title":"Book Review: Sozioinformatik - Von Menschen & Computern … und Bibern","authors":"F. Wolff","doi":"10.18267/j.aip.156","DOIUrl":"https://doi.org/10.18267/j.aip.156","url":null,"abstract":"The 2021 book on social informatics by Christa Weßel “Sozioinformatik: von Menschen & Computern ... und Bibern” [Social Informatics: About People & Computers ... and Beavers] is a contemporary and reflective overview on social informatics written in German. It is based upon the author’s rich professional experience of diverse aspects of research and development, consulting and teaching social informatics and related areas. On about two hundred pages, the book comprises a thorough survey on related and relevant disciplines, a critical assessment of the current status and diverse interpretations of the goals of social informatics.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47930878","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}
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