Conflict framing is key in political communication. Politicians use conflict framing in their online messages (e.g., criticizing other politicians) and journalists in their political coverage (e.g., reporting on political tensions). Conflicts can take a variety of forms and can provoke different reactions. However, the literature still lacks a systematic and theoretically-grounded conceptual framework that accounts for the multi-dimensionality of political conflict frames. Based on literature from political epistemology, political communication, and related fields such as psychology, we present four conceptual dimensions (...) of political conflicts: (1) the style (civil/uncivil); (2) the subject (personal/substantive); (3) whether it is about underlying moral/epistemic principles or not (deep/superficial conflict); and (4) whether it concerns a normative or factual issue. Results of a content analysis of newspaper articles and politicians’ tweets confirm the usage of these conflict dimensions in the Netherlands during a non-election period. Interestingly, most of the conflicts are civil, substantive, and do not highlight deep fundamental clashes. In light of the current societal concerns about the lack of respect in political debates and the deepening of our political divides, these findings can be considered encouraging. (shrink)

Conflict framing is key in political communication. Politicians use conflict framing in their online messages (e.g., criticizing other politicians) and journalists in their political coverage (e.g., reporting on political tensions). Conflicts can take a variety of forms and can provoke different reactions. However, the literature still lacks a systematic and theoretically-grounded conceptual framework that accounts for the multi-dimensionality of political conflict frames. Based on literature from political epistemology, political communication, and related fields such as psychology, we present four conceptual dimensions (...) of political conflicts: (1) the style (civil/uncivil); (2) the subject (personal/substantive); (3) whether it is about underlying moral/epistemic principles or not (deep/superficial conflict); and (4) whether it concerns a normative or factual issue. Results of a content analysis of newspaper articles and politicians’ tweets confirm the usage of these conflict dimensions in the Netherlands during a non-election period. Interestingly, most of the conflicts are civil, substantive, and do not highlight deep fundamental clashes. In light of the current societal concerns about the lack of respect in political debates and the deepening of our political divides, these findings can be considered encouraging. (shrink)

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. (shrink)

Social media are increasingly important in the news menu of media users. Differences in news production processes between traditional and social media may lead to differences in how political and social issues are depicted, and this may, eventually, have consequences for the information that reaches citizens about an issue. Against this background, this study compares content across the two media types to examine whether and how the framing of a sociopolitical issue differs between newspaper articles and posts on social media. (...) The empirical analyses are based on a content analysis of newspaper articles (n = 414) and social media messages (n = 2,771) conducted in the context of the socially contested issue of raising the retirement age in the Netherlands. Findings suggest that different content production processes can still lead to similar outcomes as both media types emphasize problems with (instead of solutions to) the retirement age issue. Our findings also confirm differences across traditional and social media, although these differences are substantially relatively small. While traditional news media emphasize conflict-related frames more often than social media, social media present more frame diversity in solutions. (shrink)

This study applies agenda setting theory to understand how firms’ financial performance is affected by both the news media and the public agenda. Using content and time-series analysis for the data of five Dutch firms, we demonstrate that media attention and public attention for a firm affect stock market ratings. As hypothesized, the effect of media attention was found to be negative whereas the effect of public attention was positive.

In this article, we discuss the use of time series models in communication research. More specifically, we consider autoregressive and moving-average processes, which together constitute the autoregressive integrated moving average-framework. This approach provides a comprehensive framework to deal with the essential issue of stationarity and to model the dynamics of any time series by estimating the autocorrelation structure. Underlying the models are questions as to what extent news tends to reproduce itself and how news flows adjust after deviations from the (...) normal news stream. The data illustrating the models consist of visibility-scores of the immigration issue in Dutch national newspapers. The empirical analysis demonstrates that the impact of immigration figures on this visibility is not significant when the ARIMA-framework is applied, while an analysis using OLS suggests a positive influence. (shrink)