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Looking Competent Does Not Appeal to All Voters Equally: The Role of Social Class and Politicians’ Facial Appearance for Voting Likelihood
No full textVoters generally value competence in politicians. Four studies, all conducted in Germany, show that this is especially pronounced in people of higher compared with lower social class. The first study, with a representative sample (N1 = 2239), found that the reported importance of competence in politicians increased with increasing socioeconomic status (SES). This was mediated by self-perceived competence which was higher in participants of higher SES. In three further studies (two preregistered, N2a&2b = 396, N3 = 400) participants merely saw pictures of politicians’ faces. Perceived competence based on facial appearance increased the likelihood of voting for a politician. Again, this effect was stronger among participants of higher compared with lower SES. This moderation persisted after controlling for participants’ political orientation and politicians’ perceived warmth and dominance. We discuss implications for future research on the psychological underpinnings of social class as well as appearance effects in the political context
Preferences for the shared use of electric-powered vehicles in mobility packages: an empirical analysis of MaaS in a university context
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The Instrument of the Institutional Role Model in GAIA-X 4 moveID
No full textThe poster shows the approach of the institutional role model. This is used in the Gaia-X project to increase cooperation within the project and reduce time to market. The moveID project is concerned with the development of a decentralized digital identity infrastructure for mobility in Europe.The Gaix-X 4 Future Mobility project family is located in the mobility domain of the German Gaia-X Hub. The common focus of the projects in the family is on the Gaia-X-based implementation of future mobility applications with high product proximity, for which data-based networking with manufacturers, suppliers, service providers, and users is essential
Echo Chambers without Conversation? Enriching Research on Polarization and Fragmentation on Twitter with the Analysis of Reciprocal Communication
No full textEcho chambers on social media are described as homophilic clusters that are characterized by a repeated confirmation of users’ political opinions and a lack of confrontation with other opinions, a process that leads to the solidification and radicalization of beliefs. The empirical research literature on the existence and effects of echo chambers yields quite mixed results, with some studies finding evidence for the existence of echo chambers and others not. In this article, we argue that network analytic research about echo chambers on Twitter would benefit from an investigation of reciprocal communication. Current research finds evidence for echo chambers for political topics in retweet networks. However, such approaches may not adequately reflect the degree of fragmentation on Twitter because a retweet is a form of information diffusion that does not support the reciprocity necessary for political discussions. To capture reciprocal communication, we instead suggest to focus on replies. We then show that typical approaches to data collection based on hashtags or keywords capture only a small fraction of replies about any given topic. With the introduction of the conversation_ID by Twitter it is now possible to collect all replies to original tweets, resulting in much larger collections of replies. We illustrate an approach that focuses on reciprocal communication through replies with the construction of the #debate2020 dataset. Here, original tweets and replies are represented in a tree structure as threaded reciprocal communication. We argue that it is in threaded replies where we might find evidence for echo chambers in patterns of mutual affirmation or contestation and delegitimization of dissenting positions
