Eine meinungsstarke Minderheit als Stimmungsbarometer?! Über die Persönlichkeitseigenschaften aktiver Twitterer

Hölig, Sascha

doi:10.5771/1615-634x-2018-2-140

Cited by 20 publications

(11 citation statements)

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“…Taken together, the considerable heterogeneity among the determinants of sharing performance on Facebook and Twitter highlights how SNSs cannot be treated as a homogeneous entity—all platforms follow their own logic based on their respective audiences (which are quite heterogeneous, see Hölig, 2018; Smith & Anderson, 2018). We might speculate that these logics are not just platform-specific, but rather platform-and-region-specific, because the audience structures of SNSs vary across regions and nations (e.g., Frees & Koch, 2018, as compared with Smith & Anderson, 2018).…”

Section: Discussionmentioning

confidence: 99%

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Karnowski

Leiner

Kümpel

et al. 2020

Journalism & Mass Communication Quarterly

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We investigated how sharing performance on Facebook and Twitter is influenced both by news articles’ content characteristics and the availability of additional news articles reporting on the same news topic. We conducted a multi-method study, integrating automated data collection and manual/automated content analyses of 1,764 German online news articles. Our findings show the influence of news factors and, more importantly, news outlets on sharing performance, while simultaneously highlighting differences between the logics of news sharing on Facebook and Twitter. We also find that the first article reporting on a news event is shared more often than subsequent articles.

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Section: Discussionmentioning

confidence: 99%

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Karnowski

Leiner

Kümpel

et al. 2020

Journalism & Mass Communication Quarterly

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“…In Kombination mit der im Cluster vorhandenen hohen Bildung führt dies zu einer vergleichsweise hohen Nutzung von Qualitätspresse und textlastigen Internetquellen wie Wikipedia, Blogs oder Internetseiten nicht-medialer Anbieter. Auch Twitter ist ein Medium, das eher von höher Gebildeten genutzt wird (Hölig, 2018).…”

Section: Beschreibung Der Clusterunclassified

Informationsrepertoires von Menschen mit Beeinträchtigungen

Haage¹

2021

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This study examines the participation of people with disabilities in public communication from a user's perspective. To this end, research instruments from two disciplines were combined: the ICF classification system from inclusion research and the scope of information approach from media studies. On the one hand, this approach enables the author to measure the diversity of media use in a user-centred way and, on the other hand, to include the entire range of context factors in the search for barriers to and facilitators of participation in public communication, not just barriers in the media. With the help of a cluster analysis of typical ranges of information, the author is able to identify constellations that particularly enable or disable such participation.

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“…The possibility of internet stardom in turn seems to appeal to certain individuals more than others. A recent comprehensive psychological study by the Hans Bredow Institute using standard narcissism questionnaires (Hölig 2018) found that Twitter users who tweet both frequently and regularly exhibit pronounced narcissistic traits. Hölig (2018) found that 10 % of Twitter subscribers produce 90 % of the content and that these particularly active users also score high on the standardised narcissism scale.…”

Section: Jfmlmentioning

confidence: 99%

“…A recent comprehensive psychological study by the Hans Bredow Institute using standard narcissism questionnaires (Hölig 2018) found that Twitter users who tweet both frequently and regularly exhibit pronounced narcissistic traits. Hölig (2018) found that 10 % of Twitter subscribers produce 90 % of the content and that these particularly active users also score high on the standardised narcissism scale. This begs the question whether the differences between heavy users (i. e. the minority who produces the majority of the content) and the less vocal majority (i. e. those who are predominantly consumers rather than content creators) also manifests in linguistic features (e. g. their choice of username, the focus of this article).…”

Section: Jfmlmentioning

confidence: 99%

Creating a Self-Image

Kersten

Lotze²

2020

jfml

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In this article, we build on research arguing that linguistic self-representation on social media can be viewed as a form of face-work and that the strategies employed by users are influenced by both a desire to connect with others and a need to preserve privacy. Drawing on our own analyses of usernames as well as that of others which were conducted as part of a large-scale project investigating usernames in 14 languages (Schlobinski/T. Siever 2018a), we argue that these conflicting goals of wanting to be recognised as an authentic member of an in-group while retaining a degree of anonymity are also observable in the choice of username. Online self-naming can thus be viewed as a key practice in the debate of face-work on social media platforms, because names and naming strategies can be studied more readily than broader and more complex aspects, such as stylistic variation or text-image interdependence, while at the same time forming part of these.

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Eine meinungsstarke Minderheit als Stimmungsbarometer?! Über die Persönlichkeitseigenschaften aktiver Twitterer

Cited by 20 publications

References 0 publications

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Informationsrepertoires von Menschen mit Beeinträchtigungen

Creating a Self-Image

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