Lower levels of news use are generally understood to be associated with less political engagement among citizens. But while some people simply have a low preference for news, others avoid the news intentionally. So far little is known about the relationship between active news avoidance and civic engagement in society, a void this study has set out to fill. Based on a four-wave general population panel survey in the Netherlands, conducted between April and July 2020 (N = 1,084) during a crisis situation, this research-in-brief investigates the development of news avoidance and pro-social civic engagement over time. Results suggest that higher news topic avoidance results in higher levels of civic engagement. The study discusses different explanations for why less news can mean more engagement.
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This study investigates the degree of news avoidance during the first months of the Covid-19 pandemic in the Netherlands. Based on two panel surveys conducted in the period April–June 2020, this study shows that the increased presence of this behavior, can be explained by negative emotions and feelings the news causes by citizens. Moreover, news avoidance indeed has a positive effect on perceived well-being. These findings point to an acting balance for individual news consumers. In a pandemic such as Covid-19 news consumers need to be informed, but avoiding news is sometimes necessary to stay mentally healthy.
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The number of people that intentionally avoid the news is growing. This could have several personal and societal implications. Previous research exposed various motives to avoid news, which lead to different manifestations of news avoidance, and consequently different implications. However, so far less is known about the differences in news avoidance types. In this study, we aim to explore different profiles of news avoiders beyond demographics, based on their motives to avoid news, values in life and personality traits. We analyze how this relates to background characteristics, the degree of news avoidance (occasional, regular, consistent), and news consumption. We rely on a survey conducted in The Netherlands (N = 2798) in March 2022. We conducted a Latent Profile Analysis and found seven news avoiders’ profiles: (1) interested occasional avoider; (2) emotive occasional avoider; (3) critical occasional avoider; (4) status-driven occasional avoider; (5) skeptical frequent avoider; (6) news outsider; and (7) convinced frequent avoider. This provides a nuanced picture of news avoidance.
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This article offers an overview of 94 scientific studies (published between 2006 and 2022) to examine how young people (ages 10–36) define, consume, and evaluate news. Research on news and youth has exploded over the past decades, but what can we conclude from it, and how should journalism scholars move forward? The systematic literature review reveals that while young people remain interested in news, how they consume it has changed drastically. Social media platforms and algorithms now play a pivotal role in young people’s news consumption. Moreover, due to the overwhelming nature of today’s high-choice digital media landscape, youth engage both actively and passively with news, while sometimes exhibiting avoidance tendencies. The review also demonstrates how the impact of digitalization has reshaped young people’s ability to critically evaluate the credibility of news, often relying on social networks and technology platforms. The review concludes with a research agenda.
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The purpose of this literature study is to obtain information about educational approaches to teaching 11 to 12 years old children focusing on how to distinguish between real news and fake news. With this purpose we studied 16 academic papers about learning activities to make primary school children media-literate and able to recognise fake news. What we found is that having children create their own news messages seems to be the most effective approach. News messages that they create can be text messages as well as videos, audios, pictures and animations. Based on this conclusion, students from The Hague University of Applied Sciences Teacher Training Institute (PABO) have been asked to develop a set of learning materials that can be used for instruction in primary schools. The effectiveness of those materials is currently being tested at an elementary school in Rijswijk. The results of the literature and the field study will be shared in the Dutch centre of expertise for media literacy education, Mediawijzer.net.
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Despite the diplomatic activities and efforts between China and the EU, the news coverage generally paints a murky picture of the China-EU bilateral relations.
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Verifying information is one of the core activities of journalism. However, recent research shows that many stories derive from unchecked information from news agencies and PR material. That being said, reporters who do not use this pre-packaged material, but who instead produce original stories based on independent research, might be journalists who stay devoted to the verification of information. Therefore, this study focuses on in-depth stories that originated inside the newsroom. We expected that these kinds of stories would be checked and double-checked, because time constraints are less important and these stories are characteristic of independent, quality journalism. Contrary to this expectation, the results show that even these kinds of stories are not always vetted. The lack of time was seldom mentioned as an excuse. Our research points to avoidance mechanisms which inhibit journalists from verifying their information.
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The huge number of images shared on the Web makes effective cataloguing methods for efficient storage and retrieval procedures specifically tailored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for image tagging with a focus on the needs of database expansion for a news broadcasting company. First, we determine the feasibility of using AIA in such a context with the aim of minimizing an extensive retraining whenever a new tag needs to be incorporated in the tag set population. Then, an image annotation tool integrating a Convolutional Neural Network model (AlexNet) for feature extraction and a K-Nearest-Neighbours classifier for tag assignment to images is introduced and tested. The obtained performances are very promising addressing the proposed approach as valuable to tackle the problem of image tagging in the framework of a broadcasting company, whilst not yet optimal for integration in the business process.
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The studies in this thesis aim to increase understanding of the effects of various characteristics of scientific news about a common chronic disease, i.e., diabetes, on the cognitive responses (e.g., emotions, attitudes, intentions) of diabetes patients. The research questions presented in this thesis are guided by the Health Belief Model, a theoretical framework developed to explain and predict healthrelated behaviours based on an individual’s beliefs and attitudes. The model asserts that perceived barriers to a recommended health behavior, advantages of the behavior, self-efficacy in executing the behavior, and disease severity and personal susceptibility to the disease are important predictors of a health behavior. Communication is one of the cues to action (i.e., stimuli) that may trigger the decision-making process relating to accepting a medical or lifestyle recommendation.
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SMILES is an international project where six organisations from three countries are collaborating to develop and test innovative approaches to combating the spread of fake news. The project is led by KB, the National Library of the Netherlands and the other partners are the Institute of Sound and Vision and The Hague University of Applied Sciences from the Netherlands, Fundación Goteo/Platoniq from Spain, and Public Libraries 2030 and the Media and Learning Association both of whom will focus on the situation in Belgium. In this article I would like to report on the main results from the baseline study that was carried out in recent months regarding the spread of disinformation in Belgium, the Netherlands and Spain, and existing measures and interventions that have taken place in those countries in combating such disinformation. Detailed reports for each country can be found on the project website.
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