“…The effects of these social characteristics that commonly accompany journalistic news in contemporary media environments were tested alongside more traditional news use predictors, especially political interest, with regards to three outcome-measures of selective exposure: visibility time as a first-level indicator and click decision as well as exposure time as second-level indicators of selective exposure to journalistic news, in comparison to equally available entertainment contents. Based on this new methodological approach, our findings support suggestions to conceive of selective exposure in more realistic exposure settings as less straightforward than implied by more traditional empirical designs (e.g., Trilling and Schoenbach 2015).…”
On social media, journalistic news products compete with entertainment-oriented and user-generated contents on two different stages of news use: First, users navigate their attention through a continuous stream of information in their newsfeed and, second, they potentially click on some of these posts to spend time with the actual full-contents. The present study conceptualizes these two types of news use behaviors in social media environments as firstand second-level selective exposure. Based on this new approach, we investigated main drivers of journalistic news exposure on both exposure levels in an online survey experiment before the German federal election in 2017 (N = 210). To achieve high ecological validity, we developed a Newsfeed Exposure Observer (NEO)-Framework to recreate realistic user settings for online experiments studying selective exposure in the digital era, where news posts are complemented by popularity cues like social endorsements or individual recommendations. Findings show that, at the first level of selective exposure, attention to journalistic news posts is particularly affected by political interest. However, the decision to click on posts in the newsfeed and to spend time with the linked contents seems more strongly driven by social factors than by individual predispositions.
“…The effects of these social characteristics that commonly accompany journalistic news in contemporary media environments were tested alongside more traditional news use predictors, especially political interest, with regards to three outcome-measures of selective exposure: visibility time as a first-level indicator and click decision as well as exposure time as second-level indicators of selective exposure to journalistic news, in comparison to equally available entertainment contents. Based on this new methodological approach, our findings support suggestions to conceive of selective exposure in more realistic exposure settings as less straightforward than implied by more traditional empirical designs (e.g., Trilling and Schoenbach 2015).…”
On social media, journalistic news products compete with entertainment-oriented and user-generated contents on two different stages of news use: First, users navigate their attention through a continuous stream of information in their newsfeed and, second, they potentially click on some of these posts to spend time with the actual full-contents. The present study conceptualizes these two types of news use behaviors in social media environments as firstand second-level selective exposure. Based on this new approach, we investigated main drivers of journalistic news exposure on both exposure levels in an online survey experiment before the German federal election in 2017 (N = 210). To achieve high ecological validity, we developed a Newsfeed Exposure Observer (NEO)-Framework to recreate realistic user settings for online experiments studying selective exposure in the digital era, where news posts are complemented by popularity cues like social endorsements or individual recommendations. Findings show that, at the first level of selective exposure, attention to journalistic news posts is particularly affected by political interest. However, the decision to click on posts in the newsfeed and to spend time with the linked contents seems more strongly driven by social factors than by individual predispositions.
“…Co-existence of the FMP and HME would still be unlikely in a fully predetermined world in which the choice of friendly media implies a guarantee in advance that each future news item will be friendly. Media choice is, however, not fully governed by the FMP, especially not for news avoiders, but also not for fanatic partisan news seekers who behave like media omnivores (Prior, 2013; Trilling & Schoenbach, 2015; Trilling, van Klingeren, & Tsfati, 2017). Media content is not fully governed by prior media choice either.…”
Section: Compatibility Of the Fmp And Hmementioning
The hostile media effect (HME) entails that partisanship incites hostile perceptions of media content. However, other research underscores that partisans selectively turn to like-minded media, resulting in a friendly media phenomenon (FMP). The present study suggests that the HME and FMP co-exist, and, furthermore, jointly affect people’s voting behavior. More specifically, based on a media content analysis and a long-term panel survey surrounding the 2014 election for the European Parliament in the Netherlands, we find that people selectively turn to like-minded friendly media (FMP), but perceive coverage about the EU (European Union) in these media as relatively unsupportive of their own position (HME). In this context, the FMP and HME appear to jointly influence voting behavior. People cast votes in line with the objectively partisan-friendly media tone of their self-selected media. However, to a certain extent they do so, because they seem motivated to counteract the seemingly unfair or insufficient coverage about the EU.
“…Individuals' selection criteria are personal, difficult to predict and potentially based on topic-specific and changing predispositions, attitudes and emotions (Nguyen et al 2014;Picone, Wolf, and Robijt 2016). Selections may be more socially oriented; for instance, selection could be based on status among digital peers (Lee and Ma 2012) or what others consume most (Trilling and Schoenbach 2014). Moreover, the affiliations of strategic professionals to non-journalistic organisations or individual amateur's interests in topics may guide their selections (Trilling, Tolochko, and Burscher 2016).…”
Gatekeeping theory struggles to describe the rise of algorithms and users as information selectors in digital spaces. Algorithms and users may co-exist as decision-makers and reach high visibility through decentralised gatekeeping mechanisms. Classic gatekeeping theory is no longer adequate in describing contemporary news selection processes online and recent gatekeeping approaches at theorybuilding are isolated and have not been synthesised in a coherent gatekeeping theory. This theoretical paper addresses this issue and develops a digital gatekeeping model in three steps. First, four gatekeeper archetypes are identified that differ in access, selection criteria and publication choices. Second, gatekeeping frequently involves platforms on which gatekeepers operate. These platforms either apply gatekeeping mechanisms controlled by a central authority or rely on collaborations between many microlevel interactions to publish news. Third, a digital gatekeeping model is derived to model the four gatekeeper archetypes and their selection processes in relation to platforms employing collaborative gatekeeping mechanisms. This proposed digital gatekeeping model extends previous research on gatekeeping by synthesising classic gatekeeping theory with contemporary approaches and by providing a framework for future research on information control and dissemination.
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