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Drawing on cognitive theories of information and democracy, this paper argues that carefully designed voting advice applications (VAAs) strengthen voter competence by matching voters’ preferences on important policy issues with parties' relevant positions on those issues.

To examine the causal effect of information acquisition on voting willingness, we employed a lab experiment on the pioneering VAA program in Taiwan: iVoter. Our participants consisted of 120 undergraduates who were randomly assigned to be treated (two groups) or controlled (one group). Each participant of the respective treatment groups was provided with full or partial information. The purpose was to identify the ideological distance between the participant and the respective political parties. Individuals in the control group did not receive the respective information prior to their decision on whether to vote or not.

Those who received full relevant information were most willing to vote in the forthcoming elections. We furthermore found VAA utilization to be positively associated with other aspects of democracy, such as political enthusiasm, civic duty and political efficacy.

This paper aims to contribute to the development of VAAs and to democracy as a whole by confirming a causal link between receiving relevant information and voting willingness.

The purpose of this paper is to present a systematic literature review of empirical studies into online platforms for political participation. The objective was to diagnose the relationship between different types of digital participatory platforms, the real possibilities of participation generated by those initiatives and the impact of such participation on the decision-making process of governmental representatives.

A systematic literature review was conducted using pre-defined terms, expressions and criteria. A total of 434 articles from 1995 to 2015 were gathered from the Web of Science database. And, 32 studies were selected from those articles for meta-synthesis, and the cases investigated were evaluated according to the e-participation ladder model (Smyth, 2001).

The results indicated that online political participation worldwide remains timid both in quantity and quality. We have witnessed the growth of a kind of “rhetorical participation” promoted by policy-makers and the rise of a “participatory despotism”, in which only the privileged partake, while the majority remains silent.

The solutions found to promote increased participation and ensure its effectiveness ranged from shaping the platform design in accordance with citizens’ capacities and interests to a need for profound political–administrative change, which includes the world’s public agencies adopting a more transparent, inclusive and collaborative approach to decision-making.

This paper proposes a systematic review, mapping the studies on online platforms for political participation, analysing the questions, methods and conclusions found by the authors and evaluating each case study with a participation ladder.

Up to date development in sentiment analysis has resulted in a symbolic growth in the volume of study, especially on more subjective text types, namely, product or movie reviews. The key difference between these texts with news articles is that their target is defined and unique across the text. Hence, the reviews on newspaper articles can deal with three subtasks: correctly spotting the target, splitting the good and bad content from the reviews on the concerned target and evaluating different opinions provided in a detailed manner. On defining these tasks, this paper aims to implement a new sentiment analysis model for article reviews from the newspaper.

Here, tweets from various newspaper articles are taken and the sentiment analysis process is done with pre-processing, semantic word extraction, feature extraction and classification. Initially, the pre-processing phase is performed, in which different steps such as stop word removal, stemming, blank space removal are carried out and it results in producing the keywords that speak about positive, negative or neutral. Further, semantic words (similar) are extracted from the available dictionary by matching the keywords. Next, the feature extraction is done for the extracted keywords and semantic words using holoentropy to attain information statistics, which results in the attainment of maximum related information. Here, two categories of holoentropy features are extracted: joint holoentropy and cross holoentropy. These extracted features of entire keywords are finally subjected to a hybrid classifier, which merges the beneficial concepts of neural network (NN), and deep belief network (DBN). For improving the performance of sentiment classification, modification is done by inducing the idea of a modified rider optimization algorithm (ROA), so-called new steering updated ROA (NSU-ROA) into NN and DBN for weight update. Hence, the average of both improved classifiers will provide the classified sentiment as positive, negative or neutral from the reviews of newspaper articles effectively.

Three data sets were considered for experimentation. The results have shown that the developed NSU-ROA + DBN + NN attained high accuracy, which was 2.6% superior to particle swarm optimization, 3% superior to FireFly, 3.8% superior to grey wolf optimization, 5.5% superior to whale optimization algorithm and 3.2% superior to ROA-based DBN + NN from data set 1. The classification analysis has shown that the accuracy of the proposed NSU − DBN + NN was 3.4% enhanced than DBN + NN, 25% enhanced than DBN and 28.5% enhanced than NN and 32.3% enhanced than support vector machine from data set 2. Thus, the effective performance of the proposed NSU − ROA + DBN + NN on sentiment analysis of newspaper articles has been proved.

This paper adopts the latest optimization algorithm called the NSU-ROA to effectively recognize the sentiments of the newspapers with NN and DBN. This is the first work that uses NSU-ROA-based optimization for accurate identification of sentiments from newspaper articles.

This work highlights the potential of blockchain from a public management (PM) angle. Given the limited presence of blockchain's broad-spectrum, empirical-applicative evidence in the public sector, as well as theoretical systematisations that can exemplify its potential within this scope, the authors have concentrated their efforts on structuring a referring model.

After identifying a gap and conducting a preliminary literature review related to public administration (PA), the authors propose a paradigm focused on a conceptual synthesis methodology, starting from a longitudinal analysis and a coding activity that are able to structure a clear framework of theoretical parallelism regarding blockchain's main functionalities, as well as future perspectives in the public sector.

The main results yielded a specific longitudinal literature review and constitute a referring model of blockchain's systematised functionalities through a conceptualised matrix. The outcome of the conceptualisation process frames and systematises a rapidly growing controversial phenomenon, furnishing a specific referring paradigm for the issue as it relates to policymakers.

The study's originality resides in the two views the authors created, both from the literature review and from the conceptual synthesis for public sector operative practice via an anthropocentric lens, conveyed by a three-year range of analysis.

The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.

To investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.

The authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.

Based on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.

This chapter addresses the stage at which entrepreneurs figure out that they have reached their level of incompetence (Peter & Hull, 1969) and how they might overcome it. Recommendations are made to aid entrepreneurs realize when this key moment has arrived, as well as to lay out an action plan to help them either become a professional Chief Executive Officer (CEO) or move aside and let a professional CEO run their company. Based on a state of the art review, this chapter identifies the most valued personality traits and skills, as well as leadership styles, for both entrepreneurs and professional CEOs. Those attributes are summarized as ideal job descriptions to help CEOs detect gaps between their current personality profile and the one that best meets company needs at each stage of the business’ lifecycle.

The purpose of this research paper is to address the main research gap related to the lack of sufficient information regarding the role of information and communication technologies (ICTs) in second Arab Spring wave in comparison to the first one. The authors analysed the role of ICTs via data regarding the access to ICTs and its influence on organization and spread of the anti-regime protests, i.e. regime change.

Crisis situations are unpredictable, complex and unexpected. The consequences produced by the crisis situations or events may be negative for an individual, community, organization or society as a whole. In the new millennium, ICTs have an important role in deep social crises. The new technologies enable not only the rapid spread of certain political ideas, spin information, but also the spread of misinformation. The control over ICTs in the crisis situations is crucial. The aim of this paper is to indicate effect of the use of ICTs in the crisis situations, i.e. political upheavals in 11 countries of the “Arab Spring”. The contribution of this paper is based on the development of a special theoretical model of analysis that represents the combination of the theoretical considerations in the field of ICTs, as well as the analysis in the field of transitology, i.e. democratization. The first part of the paper is focussed on the development of ICT transition theory of ICTs’ impact on the process of political change, setting the hypotheses and the explanation of methodological approach of the paper. The second part is related to the review and description of data regarding ICTs use, while the third one discusses the impact of the use of ICTs in organizing and spreading protests in the Arab world, in line with the defined theoretical framework. Finally, there are given the research results in terms of confirming or refuting the hypotheses through the analysis of Arab transition cases.

The authors confirmed the main hypothesis of the paper that the factors that determined the role of ICTs in first Spring, also, have determined the role of ICTs in second Spring wave. These factors include high access to ICT tools, weak regime's control over ICTs’ use and important cross-border networking with regional and international audience. All that formed the promotional role of ICTs in regime change in 8 of the 11 countries mentioned in the paper.

Apart from the developed special theoretical model and the analysis of new wave Arab Spring cases, the significance and originality of this paper is reflected in a comprehensive and multidisciplinary approach that connects political changes and the use of ICTs in disseminating certain policies and ideas.

In the Foreword to the first Annual Report of the Commissioner for the Rights of Trade Union Members, Mrs.Gill Rowlands says “As Commissioner I am able to provide material assistance to union members contemplating or taking certain proceedings in connection with … matters specified [in] … the 1988 Act. If assistance is granted, the applicant will know that he/she will not be placed at a disadvantage by a lack of ability to obtain legal advice or pay legal costs in connection with those proceedings.”

In the last monograph an attempt was made at giving a short historical background of the trade union movement; at defining a trade union; at discussing the closed shop and at looking towards its future.