Robin Bartlett Rissi, Luis Terán, J. Fivaz, Daniel Schwarz
{"title":"Tutorial: Voting Advice Applications: Design, Implementation, and Impact","authors":"Robin Bartlett Rissi, Luis Terán, J. Fivaz, Daniel Schwarz","doi":"10.1109/ICEDEG48599.2020.9096852","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096852","url":null,"abstract":"Voting Advice Applications (VAAs) are web-based online tools that provide a voting recommendation by matching candidates and/or parties with voters. In summary users respond to questions on a wide range of current policy issues. Their answers are then compared with the answers of candidates and/or parties in order to calculate a ranking of how closely their positions match up. VAAs allow users to compare their own political views with those of candidates and parties reflect on their own political positions and learn more about the political programs of parties and candidates. The use and effects of VAAs have attracted growing research interest in recent years. In many countries a significant and still growing proportion of the electorate use VAAs. Moreover evidence has been found that voting intentions are influenced by the recommendations provided by VAA platforms (Ladner et al. [2010a] [2012] Walgrave et al. [2008b]). The development and implementation of VAAs is gaining increased attention from technical-oriented networks. In particular communities related to recommender systems data mining social computing eGovernment among others attract researchers with contributions related to VAA developments. In this tutorial we summarize the state of the art of VAA design implementation and impact in different projects in countries including Switzerland Ecuador and Australia.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037860","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}
Paulette Vázquez, J. C. Garcia, M. J. Luna, Carmen Vaca
{"title":"Temporal topics in online news articles: Migration crisis in Venezuela","authors":"Paulette Vázquez, J. C. Garcia, M. J. Luna, Carmen Vaca","doi":"10.1109/ICEDEG48599.2020.9096804","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096804","url":null,"abstract":"The migration process of citizens of a country in crisis can be extended by months or years depending on the social, economic, political, institutional situation of the country of origin. There are several articles that approach Venezuelan migration based on information provided by international organizations such as ONU and ACNUR. However, so far there is not a study that analyzes the information media offers about this issue, so we have temporarily analyzed online news to be able to obtain the topics that emerges from this social phenomenon. First, we extract 10K news articles published online in different newspapers across Latin America since 2015 until May 2019. Second, we build a binary classifier to discriminate whether the article is related to migration or not. Finally we apply topic modeling and word embeddings techniques to extract the most important issues discussed each year. The automatic text analysis, in time, reveals how the country moves from an intense migratory flow to an exodus of people of all ages and conditions who are welcomed by the host countries of the region starting with the closest neighbors. Our temporal analysis shows evidence that the migration process continues to increase and it is spreading throughout the continent mainly due to unemployment, insecurity and the lack of medicines and food.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125689274","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}
Manuella Maia Ribeiro, J. Macaya, Mayra Pizzott Rodrigues dos Santos, M. A. Cunha, M. Pitta
{"title":"ICT usage in Contexts of Regional Inequalities","authors":"Manuella Maia Ribeiro, J. Macaya, Mayra Pizzott Rodrigues dos Santos, M. A. Cunha, M. Pitta","doi":"10.1109/ICEDEG48599.2020.9096700","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096700","url":null,"abstract":"This short paper aims to identify the differences of ICT usage among municipalities in Brazil, especially in local governments. Thus, it intends to describe the characteristics of technology use among Brazilian municipalities. This first effort is looking for defining those characteristics through a quantitative analysis using secondary data from ICT Electronic Government Survey 2017 - a national survey conducted every two years by the Regional Center for Studies on the Development of Information Society (Cetic.br). Statistical analysis provided four clusters related to the dimensions defined for the study. The clusters enabled us to describe and analyze the main characteristics of ICT use by Brazilian local governments. They also pointed out the inequalities related to ICT access and adoption by the different municipalities in the country, including some initial insights about the level of usage.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127903436","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}
{"title":"Tech for Hire: Data Science-Related Jobs Signal Economic Growth","authors":"C. Fantoni, A. Mero, Carmen Vaca","doi":"10.1109/ICEDEG48599.2020.9096765","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096765","url":null,"abstract":"The Gross Domestic Product (GDP) of a certain country can be a window to a massive amount of information, as many assumptions can be made regarding economical, educational and technological aspects of said country with this value. However, a formal definition of said correlation is not always known in certain topics, such as technological advancements and job offer disponibility. In this study, we aim to compare technology-related job offers such as Data Scientist and Artificial Intelligence (AI) designer on various cities in the US with their respective GDP. To this aim, we collect data from the Indeed website about said job offers in different US cities, as well as their respective GDP values retrieved from the US Bureau of Economic Analysis (BEA) platform. Next we define a correlation matrix between job offers and GDP by metropolitan area, as well as implement a temporal analysis on the amount of said offers. Our results show an high increase in job offers on Machine Leaning (ML) compared to other jobs skills, in addition to establishing a strong positive correlation between Business Intelligence (BI), Data Analytics (DA) and Internet of Things (IoT) skills looked for in a metropolitan area with the GDP of said area.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121447878","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}
Pablo Sánchez-Núñez, Estela R. Yanez, F. Cabrera, Andrea Peláez-Repiso
{"title":"Government Communication Management in Digital Ecosystems: A Real Case of Country Brand Analysis","authors":"Pablo Sánchez-Núñez, Estela R. Yanez, F. Cabrera, Andrea Peláez-Repiso","doi":"10.1109/ICEDEG48599.2020.9096861","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096861","url":null,"abstract":"The Open Government emerges as a new paradigm and model of relationship between society, administrations and governors: collaborative, multidirectional, transparent and oriented to the participation of citizens, both in monitoring and in public decision-making. Communication is one of the main axes where this new paradigm is sustained, since it helps governments to show and justify the actions carried out, and which, on many occasions, are discussed by citizens. Government communication, therefore, is framed within political communication itself and refers to the exercise that determines the management agenda of institutions, attitudes and processes, its main objective being to generate a consensus leaving aside particular interests of political parties and personalities, to focus on management and public administration, because without a general acceptance of the principles there can be no successful management. In this context, the country brand is one of the items where consensus is fundamental, a bad management of the communication around it, can cause discrepancy that affects the Open Government. This paper analyzes a real case of communication in relation to the Spanish Country brand (España Global) and how it has affected the commitment and belonging of citizens.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130172946","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}
{"title":"E-government Adoption: the Role of Perception of Digital Technology in the Public Service of Ghana","authors":"John Djomaakwei Quaye, E. Sneiders","doi":"10.1109/ICEDEG48599.2020.9096759","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096759","url":null,"abstract":"Despite the benefits of e-government in transforming the public sectors across the world, its implementation in Africa experiences numerous setbacks. Human aspects have been identified as an underwriting factor leading to such setbacks; still, the role of the human aspects has been only partially studied. This research investigates how perception of digital technology by public servants in Ghana may have influenced the adoption of e-government in Ghana. We have discovered 13 relationships between 8 technology perception factors and 5 e-government adoption factors. Analysis of these relationships allowed us suggesting recommendations regarding e-government adoption to the government, public administration managers, and e-government designers in developing countries.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134490551","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}
{"title":"Tutorial: Towards Human-Centered Smart City Solutions","authors":"Moreno Colombo, Minh Tue Nguyen, Jhonny Pincay","doi":"10.1109/ICEDEG48599.2020.9096669","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096669","url":null,"abstract":"There are many perspectives and conceptions about “Smart Cities”. One thing they have in common is the enrichment of city functions through the use of information technologies. However, often smart solutions are developed following a “top-down” approach [7] and besides, it seems that prioritizing efficiency and sustainability are not often the best way to address the needs of the citizens [11]. Thus, human-centered methods are necessary towards developing solutions that truly answer to the needs of the people. The scope of this tutorial is that of introducing smart cities (e.g., [1], [3], [4], [8], [10]) and ways of making them smarter - especially from the perspective of citizens - with a human-centered [9] approach. Methods for collecting people's opinions and data regarding the city ecosystem, as well as guidelines on how to use this information to go from raw data to useful, concrete and human-centered solutions, are fundamental for improving the livability of a city. In this tutorial, some of these methods will be presented, enriched by various practical examples and some basic information about smart cities. The participants of the tutorial will be able to test some of the proposed methods in interactive and hands-on sessions.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116939502","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}
Marcos Orellana, Andrea Trujillo, María-Inés Acosta
{"title":"A methodology to predict emergency call high-priority: Case study ECU-911","authors":"Marcos Orellana, Andrea Trujillo, María-Inés Acosta","doi":"10.1109/ICEDEG48599.2020.9096829","DOIUrl":"https://doi.org/10.1109/ICEDEG48599.2020.9096829","url":null,"abstract":"Accurate categorization of emergency calls is essential to determine the most appropriate action towards the solution of an emergency event. There are risks during the caller's attention because the event could be classified incorrectly related to its priority level. In order to reduce the error in classifying those types of calls, a high-priority prediction method of emergencies is proposed. For this, a computational model is presented using text mining techniques, which reduces the high-priority alerts cases wrongly classified as lower-priority alerts. For this, preprocessing techniques were organizing, such as elimination of stop words, lemmatization, and pruning of words according to the frequency in the documents. Inside the validation stage, the Support Vector Machine (SVM) algorithm is proposed, it is focused on confusion matrix optimization in order to reduce cases of false negatives. In other words, the aim is to improve the recall measure in the classification model. The experimentation process revealed that the proposed model improves the prediction of high-priority alerts.","PeriodicalId":261509,"journal":{"name":"2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633364","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}