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Stefan Stieglitz
Researcher at University of Duisburg-Essen
Publications - 274
Citations - 6784
Stefan Stieglitz is an academic researcher from University of Duisburg-Essen. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 30, co-authored 241 publications receiving 5109 citations. Previous affiliations of Stefan Stieglitz include University of Münster & University of Potsdam.
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Journal ArticleDOI
Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stefan Stieglitz,Linh Dang-Xuan +1 more
TL;DR: It is found that emotionally charged Twitter messages tend to be retweeted more often and more quickly compared to neutral ones, and companies should pay more attention to the analysis of sentiment related to their brands and products in social media communication as well as in designing advertising content that triggers emotions.
Journal ArticleDOI
Social media analytics – Challenges in topic discovery, data collection, and data preparation
TL;DR: An extended and structured literature analysis is conducted through which the most important challenges for researchers are discussed and potential solutions proposed and used to extend an existing framework on social media analytics.
Journal ArticleDOI
Social media and political communication: a social media analytics framework
Stefan Stieglitz,Linh Dang-Xuan +1 more
TL;DR: A methodological framework for social media analytics in political context is proposed that summarizes most important politically relevant issues from the perspective of political institutions and corresponding methodologies from different scientific disciplines.
Proceedings ArticleDOI
Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior
Stefan Stieglitz,Linh Dang-Xuan +1 more
TL;DR: A positive relationship between the quantity of words indicating affective dimensions, including positive and negative emotions associated with certain political parties or politicians, in a tweet and its retweet rate is found.
Journal ArticleDOI
Towards more systematic Twitter analysis: metrics for tweeting activities
Axel Bruns,Stefan Stieglitz +1 more
TL;DR: This work outlines a catalogue of widely applicable, standardised metrics for analysing Twitter-based communication, with particular focus on hashtagged exchanges and points to potential uses for such metrics, presenting an indication of what broader comparisons of diverse cases can achieve.