Search results for "Information Science"
showing 10 items of 3627 documents
Digital Trace Data in the Study of Public Opinion
2016
In this article, we examine the relationship between metrics documenting politics-related Twitter activity with election results and trends in opinion polls. Various studies have proposed the possibility of inferring public opinion based on digital trace data collected on Twitter and even the possibility to predict election results based on aggregates of mentions of political actors. Yet, a systematic attempt at a validation of Twitter as an indicator for political support is lacking. In this article, building on social science methodology, we test the validity of the relationship between various Twitter-based metrics of public attention toward politics with election results and opinion pol…
Social media overload, exhaustion, and use discontinuance : Examining the effects of information overload, system feature overload, and social overlo…
2020
While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collecte…
Mutual informing between IS Academia and Practice: Insights from KIWISR-5
2011
Publisher's version of an article published in the journal: Communications of the Association for Information Systems. Also available from the publisher at: http://aisel.aisnet.org/cais/vol29/iss1/7 The relationship between Information Systems (IS) scholars and IS practitioners has been debated since the birth of the IS discipline. How are academics interacting with practice, and how should we? In this article we propose that academia-practice collaboration, namely “mutual informing,” is an existential aspect of the Information Systems field. This article is based on presentations, discussions, group work, and a debate that took place during the Fifth Kristiansand International Workshop on …
An Ontology Model for Interoperability and Multi-organization Data Exchange
2020
Progress in the uptake and use of technologies such as Artificial Intelligence and the Internet of Things seems to be stalled by the colossal fragmentation of information and data standards. This complexity is compounded by issues of inter-organisational differences, hindering effective collaboration. There is a growing demand for cross-organizational integrations in regulated but decentralized environments. This paper introduces an ontology architecture where information is sliced into independent semantic layers, each focusing on a specific aspect of the data. By dissolving traditional monolithic data structures into layered, light semantic components, the necessity to maintain contextual…
Towards a critical understanding of data visualisation in democracy: a deliberative systems approach
2021
Data and data visualisations – in the forms of graphs, charts and maps – are becoming an increasingly important feature of social, public and political life. Yet within existing scholarship, the democratic significance of data visualisations has thus far received minimal attention. This article offers a first systematic attempt to make sense of and scrutinise the role of data visualisation in democracy. We apply deliberative systems theory in the analysis of three original case studies to elucidate how data visualisation can integrate into the overall anatomy of democracy, and to normatively assess how data visualisation contributes towards key democratic ideals. Conclusively, we highlight …
Capturing methodological trends in mobile communication studies
2013
This study investigates methodological trends in mobile communication studies. The articles published over the past 20 years in five journals (Communication Research, Journal of Communication, Journal of Computer-Mediated Communication, New Media & Society, and Information, Communication & Society) are analysed. The results show that the quantitative and qualitative studies have increased while theoretical accounts have remained few. The quantitative approach is the most applied. The studied articles reflect a structural problem of science communication that stems from the lack of cumulativity of scientific results and cross-national analyses and from the standard length of articles that po…
How Hadoop and Spark benchmarking algorithms can improve remote health monitoring and data management platforms?
2019
This chapter introduces the characteristics of e-care platform and the concept of ontology which helps the reader understand the system that will implement big data tools for its migration while also focusing on focuses on the most popular systems in the Hadoop ecosystem, emphasizing MapReduce and Spark.
Ontology-based state representation for intention recognition in cooperative human-robot environments
2012
In this paper, we describe a novel approach for representing state information for the purpose of intention recognition in cooperative human-robot environments. States are represented by a combination of spatial relationships in a Cartesian frame along with cardinal direction information. This approach is applied to a manufacturing kitting operation, where humans and robots are working together to develop kits. Based upon a set of predefined high-level states relationships that must be true for future actions to occur, a robot can use the detailed state information presented in this paper to infer the probability of subsequent actions occurring. This would enable the robot to better help th…
Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections
2014
A fast 3D/4D structure-sensitive procedure was developed and assessed for the chemical shift prediction of protons bonded to sp3carbons, which poses the maybe greatest challenge in the NMR spectral parameter prediction. The LPNC (Linear Prediction with Nonlinear Corrections) approach combines three well-established multivariate methods viz. the principal component regression (PCR), the random forest (RF) algorithm, and the k nearest neighbors (kNN) method. The role of RF is to find nonlinear corrections for the PCR predicted shifts, while kNN is used to take full advantage of similar chemical environments. Two basic molecular models were also compared and discussed: in the MC model the desc…
Elaborating the WARE Method for eParticipation Requirements
2010
Published version of a chapter in the book Information Systems Developement, 2010, 785-792. Also available from the publisher at: http://dx.doi.org/10.1007/b137171_82 eParticipation systems are often directly targeted at citizens. However, as a group of potential users, citizens form a heterogeneous and unpredictable group, which makes requirements elicitation a challenging issue. Based on recently developed ideas for wide audience requirement engineering (WARE), this chapter discusses and elaborates a method for eliciting citizen requirements for eParticipation. The method elaboration was conducted in connection with a project in southern Norway, where young people’s requirements for becom…