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The purpose of this paper is to consolidate existing knowledge and provide a deeper understanding of the use of social media (SM) data for predictions in various areas, such as disease outbreaks, product sales, stock market volatility and elections outcome predictions.

The scientific literature was systematically reviewed to identify relevant empirical studies. These studies were analysed and synthesized in the form of a proposed conceptual framework, which was thereafter applied to further analyse this literature, hence gaining new insights into the field.

The proposed framework reveals that all relevant studies can be decomposed into a small number of steps, and different approaches can be followed in each step. The application of the framework resulted in interesting findings. For example, most studies support SM predictive power, however, more than one-third of these studies infer predictive power without employing predictive analytics. In addition, analysis suggests that there is a clear need for more advanced sentiment analysis methods as well as methods for identifying search terms for collection and filtering of raw SM data.

The proposed framework enables researchers to classify and evaluate existing studies, to design scientifically rigorous new studies and to identify the field's weaknesses, hence proposing future research directions.

The purpose of this paper is to introduce a process for developing a metadata element set that will describe e‐government resources in digital collections. The outcome of the process is a metadata schema that reuses as many elements as possible from existing specifications and standards (termed as an e‐government metadata application profile). The use of e‐government metadata is to facilitate the electronic categorization and storage of governmental resources, as well as to enhance users' electronic interactions with the public sector.

The paper extends an initial process presented in the context of the European Standardization Committee CEN/ISSS, proposing four steps for developing the application profile: determine the resources to be described by the metadata, identify the stakeholder groups who will use the metadata, determine the use of metadata for each stakeholder group, and specify the metadata elements corresponding to each use.

The steps of the proposed process are followed in order to develop an e‐government metadata application profile for a particular digital collection: a one‐stop governmental Web portal that enables discovery and access to e‐government services and documents residing at the Web sites of geographically dispersed public authorities.

The combination of existing metadata schemas, in order to create an e‐government application profile, requires a well‐defined process for identifying the context requirements. This paper presents such a process and reports its engagement in a real case study. It may serve as a roadmap for other interested researchers, managers or implementers of digital collections of e‐government resources.

The purpose of this paper is to develop a domain model for online community building and collaboration in e‐government and policy modelling.

The authors followed a structured approach including five distinct steps: define the domain to be investigated; collect domain knowledge from both existing online community building and collaboration platforms and domain experts; analyse the gathered knowledge; develop and evaluate the domain model.

A domain model was developed for community building and collaboration in eGovernment and policy modelling, including the domain definition, the domain lexicon and the conceptual models modelling its basic entities and functions of the domain. In particular, the UML class diagram was used for modelling the domain entities and the UML use cases diagram for modelling the domain functions.

A literature search revealed a lack of domain models for online community building and collaboration, not only in e‐government and policy modelling but also in general. The proposed model provides a better understanding of the domain. It can also be used in the development of relevant platforms, leading to the reduction of software development costs and delivery time, as well as the improvement of software quality and reliability, by minimising domain analysis errors.

In this paper, the aim is to develop a framework for evaluating the web sites of public authorities. The proposed framework consists of four axes: two for assessing the general characteristics and content of the web sites (namely general characteristics and e‐content); and two for assessing specific functionalities addressing their governmental character (namely e‐services and e‐participation).

The proposed framework is gradually built through a critical analysis of the two relevant domains, web site evaluation and e‐government. The methodology used in the case study includes the construction of an appropriate questionnaire for assessing the framework metrics. The practical use of the framework is demonstrated by means of a case study, namely evaluating the web sites of Greek public authorities at local and regional level.

The proposed framework presents a more holistic approach to e‐government web site evaluation, while the case study provides some interesting results with regards to the shortcomings of Greek public authority web sites.

The proposed framework could be further enhanced by incorporating an evaluation of the demand site of e‐government. Moreover, a more thorough approach with regard to privacy would have to include metrics to be answered directly by IT security personnel.

The proposed framework can be used for evaluating the web sites of public authorities in a more comprehensive way. As an example, the case study reveals significant results of practical importance by indicating overall progress, aspects that are under‐developed, etc.

This paper provides a novel framework to e‐government web site evaluation that also considers e‐government services and e‐participation. We anticipate that it will be of interest to both researchers and practitioners alike.