Correlations between the selection of topics by news media and scientific journals.

The aim of this study is to reveal a robust correlation between the amount of attention international journalism devotes to scientific papers and the amount of attention scientific journals devote to the respective topics. Using a Mainstream-Media-Score (MSM) ≥ 100 (which we regard as an indicator for news media attention) from the altmetrics provider Altmetric, we link 983 research articles with 185,166 thematically similar articles from the PubMed database (which we use to operationalize attention from scientific journals). The method we use is to test whether there is a concomitant increase in scientific attention after a research article has received popular media coverage. To do so, we compare the quotient of the number of thematically similar articles published in scientific journals during the period before and after the publication of an MSM ≥ 100 article. Our main result shows that in 59 percent of cases, more thematically similar articles were published in scientific journals after a scientific paper received noteworthy news media coverage than before (p < 0.01). In this context, we neither found significant differences between various types of scientific journal (p = 0.3) nor between scientific papers that were originally published in renowned opinion-leading journals or in less renowned, non-opinion-leading journals (p = 0.1). Our findings indicate a robust correlation between the choice of topics in the mass media and in research. However, our study cannot clarify whether this correlation occurs because researchers and/or scientific journals are oriented towards public relevance (publicity effect) or whether the correlation is due to the parallelism of relevance attributions in quality journalism and research (earmark hypothesis). We infer that topics of social relevance are (more) likely to be picked up by popular media as well as by scientific journals. Altogether, our study contributes new empirical findings to the relationship between topic selection in journalism and in research.

Selected by expertise? Scientific experts in German news coverage of COVID-19 compared to other pandemics.

At the time of the COVID-19 pandemic, scientific expertise was and is more in demand than perhaps ever before. Scientific "experts" serve as an important source of information for journalists and for society. Our study analyzes, which experts get a chance to speak in German news coverage of COVID-19 compared to other pandemics, how diverse the spectrum of selected experts is and how their scientific expertise is to be assessed. Our findings show that the COVID-19 coverage is dominated by actors from the political executive and less than in previous pandemics by scientific experts. In addition, the coronavirus debate is characterized by a greater diversity of expert voices and the journalistic selection of scientific experts is biased in favor of those who have a high scientific expertise. On average, COVID-19 coverage seems to be biased more pronouncedly in favor of reputable scientific experts compared to previous debates on pandemics.

Frequency distribution of journalistic attention for scientific studies and scientific sources: An input-output analysis.

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tailed distribution, a power law. Mathematically, this distribution can be described with a function of the form C*x-α. We argue that the exponent of such power law distributions can potentially be an indicator to describe selectivity in journalism on a high aggregation level. In our input-output analysis, we look for such patterns in the coverage of all scientific results published in the database Scopus over four years. To get an estimate of the coverage of these results, we use data from the altmetrics provider Altmetric, more precisely their Mainstream-Media-Score (MSM-Score). Based on exploratory analyses, we define papers with a score of 50 or above as Social Impact Papers (SIPs). Over our study period, we identified 5,833 SIPs published in 1,236 journals. For both the distribution of the source selection and the distribution of the selection of single results, an exponentially truncated power law is a better fit than the power law, mostly because we find a steeper decline in the tail of the distributions.

Coverage of Antimicrobial Resistance in the German Press: 1993-2013.

The present study explores the coverage of antimicrobial resistance (AMR) and its associated risks in the German press between 1993 and 2013. Using quantitative content analysis, we explored the corpus of newspaper articles to evaluate the quality of risk reporting. Our findings show an overall increase in the quality of risk-related information: articles contain more substantiating statements describing objectively cognizable phenomena with absolute numbers, prevalences, estimations, and tendencies over time. There is also an increase in the level of precision of such statements. On the other hand, the results suggest that there is little contextualization of risk information and mortality data is often communicated in absolute numbers, which makes it harder to understand and interpret the information. While the debate about the risks of AMR is led by the scientific community, the overall tone of the coverage is alarmist, which can result in growing skepticism of scientific expertise.

Constructing (un-)certainty: An exploration of journalistic decision-making in the reporting of neuroscience.

Based on 21 individual case studies, this article inventories the ways journalism deals with scientific uncertainty. The study identifies the decisions that impact a journalist's perception of a truth claim as unambiguous or ambiguous and the strategies to deal with uncertainty that arise from this perception. Key for understanding journalistic action is the outcome of three evaluations: What is the story about? How shall the story be told? What type of story is it? We reconstructed the strategies to overcome journalistic decision-making uncertainty in those cases in which they perceived scientific contingency as a problem. Journalism deals with uncertainty by way of omission, by contrasting the conflicting messages or by acknowledging the problem via the structure or language. One finding deserves particular mention: The lack of focus on scientific uncertainty is not only a problem of how journalists perceive and communicate but also a problem of how science communicates.

Audience reach of science on television in 10 European countries: An analysis of people-meter data.

Beginning with a differentiation of science programmes into five different editorial concepts, this article explores the audience reach of science on television in 10 European countries with a special emphasis on young audiences aged between 14 and 29 years. In relation to the share of this age group in the entire population, science programmes in all countries reach a considerably smaller proportion of younger viewers. Specific preferences for science content on television do not seem to be relevant in explaining aggregated viewing behaviours especially of young audiences. Unlike all other segments, the young science viewer segment is almost intangible as an aggregated group, as a definable segment of a mass audience that can be targeted by science programme makers.

Scheduling science on television: A comparative analysis of the representations of science in 11 European countries.

This article explores the factors that influence the volume and structure of science programming by European television broadcasters, focussing on differences among channel patterns. It proposes three factors as relevant to understanding differences in science programming: A) the segmentation/fragmentation of television markets; B) the presence of middle sized commercial channels; C) the dependency of public service TV channels on commercial income (trading/advertising). We identified countries whose channel patterns encourage a varied picture of science - namely Sweden, Finland and Germany. They are distinguished from those which show a less differentiated picture and present a smaller volume of science content on television - such as Great Britain and Ireland. Finally, we identified countries whose channel patterns don't encourage a varied picture of science - namely Spain, Greece, Bulgaria and Estonia - and these countries present their small volume of science content at off-peak hours, in contrast to patterns in Great Britain and Ireland.

Congruency within rural social networks as an indicator of interpersonal influence on risk judgments: the great stir caused by BSE in a village in northern Germany.

In the following survey, congruency within a sample of 150 rural social networks ascertained by comparing independently gathered data is used as an indicator of interpersonal influence concerning BSE-related current knowledge and consumption habits. Our findings suggest that friends, relatives and acquaintances mutually orientated each other about what was worth knowing about BSE. Concerning the behavioral dimension of risk judgments, our findings indicate that social networks obtained within the village explored have activated collective resistance against fear. This is explained by the character of the risk source. Positive attitudes towards conventional farming obviously contributed to the social identity of villagers. The devaluation of conventional farming as a source of societal threat by the mass media touched on an integral part of the self-definitions of villagers and activated resistance within their social networks. It is argued that a central point in explaining the role of interpersonal influence in risk judgments is not only the dimension of risk judgments but the character of the risk source. If attitudes concerning a risk source contribute positively to one's identity, the devaluation of the risk source by mass media coverage may enhance the probability of collective resistance against fear.