Anna-Katharina Jung

ORCID: 0000-0002-0905-4932
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About
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Research Areas
  • Misinformation and Its Impacts
  • Impact of Technology on Adolescents
  • Digital Marketing and Social Media
  • Spam and Phishing Detection
  • Ethics and Social Impacts of AI
  • Media, Religion, Digital Communication
  • Hate Speech and Cyberbullying Detection
  • Digital Communication and Language
  • Focus Groups and Qualitative Methods
  • Archaeology and Historical Studies
  • Digitalization, Law, and Regulation
  • Media Influence and Politics
  • Social Media and Politics
  • Law, AI, and Intellectual Property
  • Big Data and Business Intelligence
  • Vaccine Coverage and Hesitancy
  • Advanced Malware Detection Techniques
  • Complex Network Analysis Techniques
  • Public Relations and Crisis Communication

University of Duisburg-Essen
2017-2025

So-called 'social bots' have garnered a lot of attention lately. Previous research showed that they attempted to influence political events such as the Brexit referendum and US presidential elections. It remains, however, somewhat unclear what exactly can be understood by term bot'. This paper addresses need better understand intentions bots on social media develop shared understanding how 'social' differ from other types bots. We thus describe systematic review publications researched bot...

10.48550/arxiv.1710.04044 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Abstract Generative Artificial Intelligence (genAI) holds immense potential in revolutionizing journalism and media production processes. By harnessing genAI, journalists can streamline various tasks, including content creation, curation, dissemination. Through already automate the generation of diverse news articles, ranging from sports updates financial reports to weather forecasts. However, this raises ethical questions high relevance for organizations societies especially when genAI is...

10.1007/s44206-024-00151-w article EN cc-by Deleted Journal 2025-01-16

Clickbait to make people click on a linked article is commonly used social media. We analyze the impact of clickbait user interaction Facebook in form liking, sharing and commenting. For this, we use data set more than 4,400 posts from 10 different news sources how post headlines text influences engagement. The results our study revealed that certain features (e.g., unusual punctuation common phrases) increase interaction, whereas others decrease engagement with posts. further discuss...

10.1371/journal.pone.0266743 article EN cc-by PLoS ONE 2022-06-29

As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development rumors after they are debunked, various user groups who involved in process, and their network structures. crisis situations highly sensitive to rumors, Twitter posts from during 2017 G20 summit examined. Tweets regarding five that were this event manually coded following categories: rumor, debunking message,...

10.1177/2053951720980127 article EN cc-by-nc-nd Big Data & Society 2020-07-01

Since February 2020, the world has been facing a global pandemic of SARS-CoV2 virus. All over world, people have urged to take protective measures. It is hoped that implementation widespread vaccination campaigns will defeat in long term. While many are eager be vaccinated against Covid-19, other voices population highly critical and measures, circulating much misinformation on social media. The movements opposing response measures heterogeneous, including right-wing groups, spiritualists...

10.17645/mac.v10i2.5037 article EN cc-by Media and Communication 2022-05-26

The framing of events in various media and discourse spaces is crucial the era misinformation polarization. Many studies, however, are limited to specific or networks, disregarding importance cross-platform diffusion. This study overcomes that limitation by conducting a multi-platform analysis on Twitter, YouTube, traditional analyzing 2019 Koran burning Kristiansand, Norway. It examines policy frames uncovers network connections through shared URLs. findings show online news emphasizes...

10.48550/arxiv.2407.12968 preprint EN arXiv (Cornell University) 2024-07-17

En route to the unravelling of today’s multiplicity societal challenges, making sense social data has become a crucial endeavour in Information Systems (IS) research. In this context, Social Media Analytics (SMA) evolved promising field data-driven approaches, guiding researchers process collecting, analysing, and visualising media data. However, handling such sensitive requires careful ethical considerations protect subjects, online communities, researchers. Hitherto, lacks consensus on how...

10.3127/ajis.v26i0.3121 article EN cc-by-nc AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems 2022-07-02
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