Real-world indicators and the coverage of immigration and integration issues in Dutch newspapers

can be found at:European Journal of CommunicationAdditional services and information fo

Capturing a News Frame:Comparing Machine-Learning Approaches to Frame Analysis with Different Degrees of Supervision

The empirical identification of frames drawing on automated text analysis has been discussed intensely with regard to the validity of measurements. Adding to an evolving discussion on automated fra Capturing a News Frame – Comparing Machine-Learning Approaches to Frame Analysis with Different Degrees of Supervision identification, we systematically contrast different machine-learning approaches with a manually coded gold standard to shed light on the implications of using one or the other: (1) topic modeling, (2) keyword-assisted topic modeling (keyATM), and (3) supervised machine learning as three popular and/or promising approaches. Manual coding is based on the Policy Frames codebook, providing an established base that allows future research to dovetail our contribution. Analysing a large dataset of 12 Austrian newspapers’ EU coverage over 11 years (2009–2019), we contribute to addressing the methodological challenges that have emerged for social scientists interested in employing automated tools for frame analysis. While results confirm the superiority of supervised machine-learning, the semi-supervised approach (keyATM) seems unfit for frame analysis, whereas the topic model covers the middle ground. Results are extensively discussed regarding their implications for the validity of approaches

What News Outlets do People Have in Mind When They Answer Survey Questions about Trust in "Media?"

While ample research on audience trust in the news media uses survey questions that ask respondents about their trust in a generic "news media,"only scant research has investigated what types of news outlets respondents have in mind when answering such questions. These previous investigations originated mostly in the US and resulted in inconsistent findings. To further investigate this question, we use data from a large-scale survey (N=2,337), collected in Sweden, including both general media trust measures and specific measures about trust in 20 mainstream and nonmainstream news outlets. The results demonstrate that our respondents seemingly averaged across all mainstream sources when they formed their general evaluations of the news media's trustworthiness

A clearer picture: the contribution of visuals and text to framing effects

Visuals in news media help define, or frame issues, but less is known about how they influence opinions and behavior. The authors use an experiment to present image and text exemplars of frames from war and conflict news in isolation and in image-text congruent and incongruent pairs. Results show that, when presented alone, images generate stronger framing effects on opinions and behavioral intentions than text. When images and text are presented together, as in a typical news report, the frame carried by the text influences opinions regardless of the accompanying image, whereas the frame carried by the image drives behavioral intentions irrespective of the linked text. These effects are explained by the salience enhancing and emotional consequences of visuals

Video killed the news article? Comparing multimodal framing effects in news videos and articles

The recent proliferation of online videos captured at the scene of news events begs the question: Do news videos have a meaningful impact on citizens’ political opinions and behaviors that is different than that of news articles? This was examined in an experiment using carefully matched videos and articles about the European refugee crisis. Findings show that articles generated stronger intentions to help refugees than videos, and this was mediated by the depth with which the news story was processed. Despite their increasing prominence and intuitively impactful qualities, news videos do not deliver more powerful effects than news articles

What does fake look like? A review of the literature on intentional deception in the news and on social media

This paper focuses on the content features of intentional deceptive information in the news (i.e., fake news) and on social media. Based on an extensive review of relevant literature (i.e., political journalism and communication, computational linguistics), we take stock of existing knowledge and present an overview of the structural characteristics that are indicative of intentionally deceptive information. We discuss the strength of underlying empirical evidence and identify underdeveloped areas of research. With this paper, we aim to contribute to the systematic study of intentional deception in the news and on social media and to help setting up new lines of research in which intentionally deceptive news items can be operationalized in consistent ways