Semantic Network Analysis: Techniques for Extracting, Representing, and Querying Media Content

Harmelen, F.A.H. [Promotor]van Kleinnijenhuis, J. [Promotor]Schlobach, K.S. [Copromotor

Strategies for Improving Semi-automated Topic Classification of Media and Parliamentary documents

Since 1995 the techniques and capacities to store new electronic data and to make it available to many persons have become a common good. As of then, different organizations, such as research institutes, universities, libraries, and private companies (Google) started to scan older documents and make them electronically available as well. This has generated a lot of new research opportunities for all kinds of academic disciplines. The use of software to analyze large datasets has become an important part of doing research in the social sciences. Most academics rely on human coded datasets, both in qualitative and quantitative research. However, with the increasing amount of datasets and the complexity of the questions scholars pose to the datasets, the quest for more efficient and effective methods is now on the agenda. One of the most common techniques of content analysis is the Boolean key-word search method. To find certain topics in a dataset, the researcher creates first a list of keywords, added with certain parameters (AND, OR etc.). All keys are usually grouped in families and the entire list of keys and groups is called the ontology. Then the keywords are searched in the dataset, retrieving all documents containing the specified keywords. The online newspaper dataset, LexisNexis, provides the user with such a Boolean search method. However, the Boolean key-word search is not always satisfying in terms of reliability and validity. For that reason social scientists rely on hand-coding. Two projects that do so are the congressional bills project (www.congressionalbills.org ) and the policy agenda-setting project (see www.policyagendas.org ). They developed a topic code book and coded various different sources, such as, the state of the union speeches, bills, newspaper articles etcetera. The continuous improving automated coding techniques, and the increasing number of agenda setting projects (in especially European countries), however, has made the use of automated coding software a feasible option and also a necessity

The impact of the explosion of EU news on voter choice in the 2014 EU Elections

The European elections in 2014 were the first to be held after a long period in which EU-related news was prominent in the media. They were held after years of daily news about the euro crisis and after months of news about the popular uprising in the Ukraine against president Yanukovych, who had refused to sign the association agreement with the EU. This could have invited political parties to overcome the usual problem of low salience of EU issues by strongly profiling themselves on EU issues. Turnout at the 2014 EU elections, however, remained low, hinting that parties were unable to convert the attention for European issues into enthusiasm for their party at the European elections. This paper asks how vote choice was influenced by party campaigning on EU related issues. A news effects analysis based on a content analysis of Dutch newspapers and television, and on a panel survey among Dutch voters revealed that EU issues functioned as wedge issues: the more strongly parties were associated in the news with the euro crisis and the Ukraine, the less they succeeded in mobilizing voters

Everything You and Your Teachers Need to Know About the Learning Brain

Children go to school to learn, and learning takes place in the brain. In the age period of formal schooling, a child’s brain is still undergoing major developmental changes. For these reasons, neuroscience (the study of the brain) and education are closely connected. Learning is possible because the brain is plastic: plasticity refers to the capacity of the brain to reorganize its structure and thereby change function and behavior. But what exactly changes in the brain when we learn something new? What are optimal conditions for the brain to learn? Why do we also forget things? What developmental changes occur in the brain during childhood and adolescence, and how are these processes different or similar to the neural mechanisms of learning and memory? Neuro-imaging research, or ‘brain scanning’, has accelerated our current understanding of brain development, learning, memory and other school-related skills such as reading and math but also creativity, metacognition and learning-related emotions and anxieties. But what do these brain scanning techniques actually measure? What kind of questions can we address with neuro-imaging, and what are the limitations? In this Collection, we will provide an accessible overview of the current state-of-the-art insights into the mechanisms of brain development, learning and memory. The collection will help children understand how their brains learn and develop, and how these processes are shaped by their environment and their own efforts. Moreover, we will discuss why it is important that their teachers and other educational practitioners know about the brain and neuroscience methods. Finally, we will also explain what happens if wrong ideas about the brain circulate, or the correct knowledge is misinterpreted. Neuromyths such as ‘we only use 10 percent of our brain’ are persistent, but important to counter with explaining why they are false, and what is true instead. In sum, this Collection will provide children with all the relevant knowledge about the brain to understand themselves and their learning processes better, and to equip them to distinguish myths and facts

Error and post-error processing in children with attention-deficit/hyperactivity disorder:An electrical neuroimaging study

Objective: Inaccurate and inconsistent response styles in attention-deficit/hyperactivity disorder (ADHD) have been observed in a wide variety of cognitive tasks, in line with regulatory deficit models of ADHD. Event-related potential (ERP) studies of error processing have provided evidence for these models, but are limited in specificity. We aimed to improve the isolation, localization and identification of error (self-monitoring and adaptive control) and post-error (implementation of cognitive control) processing in ADHD. Methods: ERPs were obtained for 46 ADHD and 51 typically developing (TD) children using the stop-signal task. Response-locked error (Ne and Pe) and stimulus-locked post-error (N2) components were compared between groups. Ne/Pe were corrected for preceding stimulus overlap and group differences were localized. Results: Ne was intact, while Pe amplitude was markedly reduced in children with ADHD (ηp2 = 0.14). Pe differences were localized in the dorsal posterior/midcingulate (BA31/24) cortex. While the TD group showed increased N2 amplitude in post-error trials (ηp2 = 0.24), localized in the left ventrolateral prefrontal cortex (VLPFC) and angular gyrus, the ADHD group did not. Conclusions: Self-regulation deficits in ADHD are associated with later stages of error processing and subsequent implementation of cognitive control. Significance: We contribute to the literature by further specifying error processing deficits in ADHD

Toward open computational communication science: A practical road map for reusable data and code

Computational communication science (CCS) offers an opportunity to accelerate the scope and pace of discovery in communication research. This article argues that CCS will profit from adopting open science practices by fostering the reusability of data and code. We discuss the goals and challenges related to creating reusable data and code and offer practical guidance to individual researchers to achieve this. More specifically, we argue for integration of the research process into reusable workflows and recognition of tools and data as academic work. The challenges and road map are also critically discussed in terms of the additional burden they place on individual scholars, which culminates in a call to action for the field to support and incentivize the reusability of tools and data