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Literature practices represent the process leading up to the citation of a source, and consist of the selection, reading and citing of sources. The purpose of this paper is to explore possible factors that might influence researchers during this process and discover possible consequences of researchers’ citation behaviours.

In this exploratory study, various factors which could influence literature practices were explored via a questionnaire amongst 112 researchers. Participants were first authors of articles published in 2016 in one of five different journals within the disciplines of experimental psychology, educational sciences and social psychology. Academic positions of the participants ranged from PhD student to full professor.

Frequencies and percentages showed that researchers seemed to be influenced in their literature practices by various factors, such as editors suggesting articles and motivation to cite. Additionally, a high percentage of researchers reported taking shortcuts when citing articles (e.g. using secondary citations and reading selectively). Logistic regression did not reveal a clear relationship between academic work experience and research practices.

Seeing that researchers seem to be influenced by a variety of factors in their literature practices, the scientific community might benefit from better citation practices and guidelines in order to provide more structure to the process of literature practices.

This paper provides first insights into researchers’ literature practices. Possible reasons for problems with citation accuracy and replicating research findings are highlighted. Opportunities for further research on the topic of citation behaviours are presented.

Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet users. Several features can be used for creating data mining and machine learning based spam classification models. Yet, spammers know that the longer they will use the same set of features for tricking email users the more probably the anti-spam parties might develop tools for combating this kind of annoying email messages. Spammers, so, adapt by continuously reforming the group of features utilized for composing spam emails. For that reason, even though traditional classification methods possess sound classification results, they were ineffective for lifelong classification of spam emails duo to the fact that they might be prone to the so-called “Concept Drift”. In the current study, an enhanced model is proposed for ensuring lifelong spam classification model. For the evaluation purposes, the overall performance of the suggested model is contrasted against various other stream mining classification techniques. The results proved the success of the suggested model as a lifelong spam emails classification method.

Although service-learning increases several important development and learning outcomes in college students (Yorio & Ye, 2012), it is not clear whether service-learning is better preparing these students for their future careers (Gray, Ondaatje, Fricker, & Geschwind, 2000). To better understand the influence of service-learning on student development, an exploration of a leadership service-learning course and an important workplace attribute, Positive Psychological Capital, are theoretically explored.