Acta Informatica Pragensia最新文献_第10页

The Digital Media in Lithuania: Combating Disinformation and Fake News 立陶宛的数字媒体：打击虚假信息和假新闻

Acta Informatica Pragensia Pub Date : 2020-08-14 DOI: 10.18267/j.aip.134

Aelita Skaržauskienė, M. Maciuliene, Ornela Ramasauskaite

{"title":"The Digital Media in Lithuania: Combating Disinformation and Fake News","authors":"Aelita Skaržauskienė, M. Maciuliene, Ornela Ramasauskaite","doi":"10.18267/j.aip.134","DOIUrl":"https://doi.org/10.18267/j.aip.134","url":null,"abstract":"The prevalence of so-called “fake news” is a relatively recent social phenomenon that is linked to disinformation, misinformation and other forms of networked manipulation facilitated by the rise of the Internet and online social media. The spread of misinformation is among the most pressing challenges of our time. Sources from which disinformation originates are constantly changing and present an enormous challenge for real-time detection algorithms and more targeted science based socio-technical interventions. The primary aim of this paper is to illuminate the practices and interpretations, focusing on three perspectives: general attitudes to fake news, perceived interaction with disinformation and opinion on counteraction with respect to fake news. The innovative character of the research is achieved by the focus on community solutions to combat disinformation and the collaboration between media users, media organizations, scientists, communication managers, journalists and other important actors in the media ecosystem. Based on insights from interviews with communication field experts, the paper sheds light on the efforts of Lithuanian society to confront the problem of fake news in digital media environment. Lithuania is also an interesting case study for fake news due to its status as a former Soviet state now in the EU. Our research indicates that not all media users are prepared and/or have the necessary competencies to combat fake news, so that citizen engagement might actually negatively influence the quality of the counteraction process. Indeed, proactive citizens’ organizations and NGOs could be an important catalyst fostering collaboration between stakeholders. The responsibility of governments could be to create the structures, methodologies and supporting educational activities to involve the stakeholders in collaborating activities combating disinformation.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43846426","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

Knowledge Management-Enabling Technologies: A Supplementary Classification 知识管理使能技术：一个补充分类

Acta Informatica Pragensia Pub Date : 2020-07-29 DOI: 10.18267/j.aip.130

Monika Dávideková, M. Greguš, M. Zanker, V. Bureš

{"title":"Knowledge Management-Enabling Technologies: A Supplementary Classification","authors":"Monika Dávideková, M. Greguš, M. Zanker, V. Bureš","doi":"10.18267/j.aip.130","DOIUrl":"https://doi.org/10.18267/j.aip.130","url":null,"abstract":"Scientific and technological developments in informatics enable intensive transformation of data into valuable information. Enriched with context, information may be turned into knowledge, allowing organizations to optimize their processes and profile themselves as learning knowledge organizations. Several classifications of knowledge and knowledge management are available in scientific literature and research publications. In this paper the implementation and application of information and communication technology in knowledge management is being assessed from the perspective of synchrony and mutual interaction among collaborating parties. Following the PRISMA scheme, a systematic review procedure using Scopus and Web of Science databases was conducted. Obtained manuscripts underwent manual content analysis. The outcome of this analysis represents the classification of widespread ICTs into diverse categories based on extensive literature research. It specifies an original type of classification by connecting intertwined synchronicity and interaction as the main classification criteria, and it provides examples of commonly used ICTs in business practice. The introduced classification aims to deepen the comprehension of ICTs, which may lead to improved efficiency and/or eligibility of technological implementations and applications of knowledge management based on the undeniably enormous benefits of the use of ICTs in processing of business operations.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41617038","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

Data Mining from the Banking Sector´s Data 银行业数据的数据挖掘

Acta Informatica Pragensia Pub Date : 2019-07-10 DOI: 10.18267/j.aip.123

Anna Biceková, Ludmila Pusztová

引用次数: 1

Kryptoměny 加密货币

Acta Informatica Pragensia Pub Date : 2018-12-31 DOI: 10.18267/j.aip.121

Petr Tesar

引用次数: 0

Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis 用于客户声音分析的潜在狄利克雷分配方法综述

Acta Informatica Pragensia Pub Date : 2018-12-31 DOI: 10.18267/j.aip.120

Lucie Sperková

{"title":"Review of Latent Dirichlet Allocation Methods Usable in Voice of Customer Analysis","authors":"Lucie Sperková","doi":"10.18267/j.aip.120","DOIUrl":"https://doi.org/10.18267/j.aip.120","url":null,"abstract":"The aim of the article is to detect and review existing topic modelling methods of Latent Dirichlet Allocation and their modifications usable in Voice of Customer analysis. Voice of Customer is expressed mainly through textual comments which often focus on the evaluation of products or services the customer consumes. The most studied data source are customer reviews which contain next to the textual comments also ratings in form of scales. The aim of the topic models is to mine the topics and their aspects the customers are evaluating in their reviews and assign to them a particular sentiment or emotion. The author completed a systematic literature review of peer-reviewed published journal articles indexed in leading databases of Scopus and Web of Science and concerning the current use of Latent Dirichlet Allocation model variants in Voice of Customer textual analysis for performing the tasks of aspect detection, emotion detection, personality detection and sentiment assignation. In total, 38 modifications of the LDA model were identified with the reference to their first application in the research of text analytics. The review is intended for researchers in customer analytics the field of sentiment or emotion detection, and moreover as results from the review, for studies in personality recognition based on the textual data. The review offers a basic overview and comparison of LDA modifications which can be considered as a knowledge baseline for selection in a specific application. The scope of the literature examination is limited to the period of years 2003–2018 with the application relevant to the analysis of Voice of Customer subjective textual data only which is closely connected to the area of marketing or customer relationship management.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41722959","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

A Users' Awareness Study and Influence of Socio-Demography Perception of Anti-Phishing Security Tips 用户对反钓鱼安全提示的认知研究及社会人口学认知的影响

Acta Informatica Pragensia Pub Date : 2018-12-31 DOI: 10.18267/j.aip.119

A. A. Orunsolu, O. Afolabi, A. Sodiya, A. Akinwale

{"title":"A Users' Awareness Study and Influence of Socio-Demography Perception of Anti-Phishing Security Tips","authors":"A. A. Orunsolu, O. Afolabi, A. Sodiya, A. Akinwale","doi":"10.18267/j.aip.119","DOIUrl":"https://doi.org/10.18267/j.aip.119","url":null,"abstract":"Security tips are now used as a method of priming online users from falling prey for fraudulent scams. These security tips usually come as email, SMS or online posts where they can be easily accessed by the users. In this work, phishing attacks are simulated with varying cues that are available in such fraudulent email messages, SMS and web pages were used to investigate the effectiveness of the security tips used by Nigerian banks to prime their customers of online threats. A total of 427 respondents, purposively selected from three tertiary institutions in Ogun State, participated in the study. Each respondent was asked to identify five messages with varying phishing cues to evaluate their understanding of the security tips messages. The results which were computed at 95% Confidence Interval, indicated that 58.91% failed on the first attribute, 58.59% failed on the second attribute while 58.73% failed on the third attribute. 74.24% of the participant could not correctly identify a fake email message (fourth attribute) while 76.71% could not correctly identify a phished bank verification number update message (fifth attribute). Using the Mann Whitney Test, the result further showed that overall, those who failed the test are significantly more than those who passed. Moreover, a regression model is proposed to evaluate the influence of the socio demographic factors used in the study. This result indicated that gender, academic qualification and user's computer knowledge significantly influences their ability to recognize phished messages.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45333056","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: 6

Analyzing Social Media Data for Recruiting Purposes 出于招聘目的分析社交媒体数据

Acta Informatica Pragensia Pub Date : 2018-06-30 DOI: 10.18267/j.aip.111

L. Bohmova, David Chudán

引用次数: 6

Classification and Evaluation of Cloud-Based Testing Tools: The Case Study of Web Applications' Security Testing 基于云的测试工具分类与评估——以Web应用程序安全测试为例

Acta Informatica Pragensia Pub Date : 2018-06-30 DOI: 10.18267/j.aip.113

Martin Lnenicka, J. Čapek

引用次数: 2

Přehled přístupů k vyhodnocování inteligence umělých systémů

Acta Informatica Pragensia Pub Date : 2018-06-30 DOI: 10.18267/j.aip.115

Ondrej Vadinský

{"title":"Přehled přístupů k vyhodnocování inteligence umělých systémů","authors":"Ondrej Vadinský","doi":"10.18267/j.aip.115","DOIUrl":"https://doi.org/10.18267/j.aip.115","url":null,"abstract":"Obecna uměla inteligence usiluje o vytvořeni umělých systemů schopných řesit mnoho různých, a to i během vývoje nepředvidaných, uloh, což takove systemy cini svou inteligenci srovnatelne s lidmi. To vsak vyžaduje existenci vhodných metod vyhodnocujicich, zda a nakolik jsou uměle systemy inteligentni. Tento přehledový clanek hleda pravě takove evaluacni metody. Provadi proto rozsahlou resersi literatury pokrývajici jak filosoficke a kognitivni předpoklady inteligence, tak i formalni definice a prakticke testy vychazejici z algoritmicke teorie informace. Na zakladě porovnani představených metod clanek odhaluje dvě rozdilne skupiny přistupů založene na principialně odlisných předpokladech. Zatimco starsi přistupy, jako např. Turingův test, jsou založeny na předpokladu, že uspěch v komplexni cinnosti je postacujici pro přiznani inteligence, nove přistupy, jako např. test algoritmickeho IQ, kromě toho vyžaduji i důkladne ověřeni uspěsnosti v jednoduchých cinnostech. V důsledku tohoto zjistěni clanek dochazi k zavěru, že test algoritmickeho IQ založený na definici univerzalni inteligence je v soucasne době nejlepsim kandidatem na vhodný prakticky proveditelný test obecne inteligence umělých systemů. Ackoliv i tento test ma několik znamých limitů.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43679999","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

Data Mining from Open Fiscal Data 开放财政数据的数据挖掘

Acta Informatica Pragensia Pub Date : 2018-06-30 DOI: 10.18267/j.aip.114

David Chudán, V. Svátek, Jaroslav Kuchař, Stanislav Vojíř

引用次数: 0