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388 results on '"Meckel, Miriam"'

1. An integrated view of Quantum Technology? Mapping Media, Business, and Policy Narratives

Author

Suter, Viktor, Ma, Charles, Poehlmann, Gina, Meckel, Miriam, and Steinacker, Lea

Subjects
Computer Science - Computers and Society
Abstract

Narratives play a vital role in shaping public perceptions and policy on emerging technologies like quantum technology (QT). However, little is known about the construction and variation of QT narratives across societal domains. This study examines how QT is presented in business, media, and government texts using thematic narrative analysis. Our research design utilizes an extensive dataset of 36 government documents, 165 business reports, and 2,331 media articles published over 20 years. We employ a computational social science approach, combining BERTopic modeling with qualitative assessment to extract themes and narratives. The findings show that public discourse on QT reflects prevailing social and political agendas, focusing on technical and commercial potential, global conflicts, national strategies, and social issues. Media articles provide the most balanced coverage, while business and government discourses often overlook societal implications. We discuss the ramifications for integrating QT into society and the need for wellinformed public discourse., Comment: Currently under review at HICSS

Published
2024

2. COVID-19's (mis)information ecosystem on Twitter: How partisanship boosts the spread of conspiracy narratives on German speaking Twitter

Author

Shahrezaye, Morteza, Meckel, Miriam, Steinacker, Léa, and Suter, Viktor

Subjects
Computer Science - Social and Information Networks
Abstract

In late 2019, the gravest pandemic in a century began spreading across the world. A state of uncertainty related to what has become known as SARS-CoV-2 has since fueled conspiracy narratives on social media about the origin, transmission and medical treatment of and vaccination against the resulting disease, COVID-19. Using social media intelligence to monitor and understand the proliferation of conspiracy narratives is one way to analyze the distribution of misinformation on the pandemic. We analyzed more than 9.5M German language tweets about COVID-19. The results show that only about 0.6% of all those tweets deal with conspiracy theory narratives. We also found that the political orientation of users correlates with the volume of content users contribute to the dissemination of conspiracy narratives, implying that partisan communicators have a higher motivation to take part in conspiratorial discussions on Twitter. Finally, we showed that contrary to other studies, automated accounts do not significantly influence the spread of misinformation in the German speaking Twitter sphere. They only represent about 1.31% of all conspiracy-related activities in our database.

Published
2020

3. Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination

Author

Steinacker, Léa, Meckel, Miriam, Kostka, Genia, and Borth, Damian

Subjects
Computer Science - Computers and Society, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

With rapid advances in machine learning (ML), more of this technology is being deployed into the real world interacting with us and our environment. One of the most widely applied application of ML is facial recognition as it is running on millions of devices. While being useful for some people, others perceive it as a threat when used by public authorities. This discrepancy and the lack of policy increases the uncertainty in the ML community about the future direction of facial recognition research and development. In this paper we present results from a cross-national survey about public acceptance, privacy, and discrimination of the use of facial recognition technology (FRT) in the public. This study provides insights about the opinion towards FRT from China, Germany, the United Kingdom (UK), and the United States (US), which can serve as input for policy makers and legal regulators., Comment: ICML 2020 - Law and Machine Learning Workshop, Vienna, Austria

Published
2020

4. Quantum computing

Author

Rietsche, Roman, Dremel, Christian, Bosch, Samuel, Steinacker, Léa, Meckel, Miriam, and Leimeister, Jan-Marco

Published
2022
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6. COVID-19’s (Mis)Information Ecosystem on Twitter: How Partisanship Boosts the Spread of Conspiracy Narratives on German Speaking Twitter

Author

Shahrezaye, Morteza, Meckel, Miriam, Steinacker, Léa, Suter, Viktor, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2021
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8. Kunst und Medien

Author

Mahler, Nicolas, Meckel, Miriam, Frei, Norbert, Stetter, Moritz, Finger, Evelyn, Haberer, Johanna, Grimm, Petra, Scheuble, Anna, Badea, Alexandra, Varatharajah, Senthuran, Antwi, Tracy, Fioretos, Aris, Genazino, Wilhelm, Dragomán, György, Gomringer, Nora, Schulze, Ingo, Feinberg, Anat, Sternberg, Thomas, Wetzel, Daniel, Spira, Katrin, Rau, Milo, and Genazino, Wilhelm, editor

Published
2016
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38. IT Driven Marketing

Author

Meckel, Miriam, Osl, Philipp, Österle, Hubert, Belz, Christian, editor, Schögel, Marcus, editor, and Tomczak, Torsten, editor

Published
2007
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