Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Thilo Schroeder"'
Autor:
Daniel Thilo Schroeder, Mirjam de Bruijn, Luca Bruls, Mulatu Alemayehu Moges, Samba Dialimpa Badji, Noëmie Fritz, Modibo Galy Cisse, Johannes Langguth, Bruce Mutsvairo, Kristin Skare Orgeret
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol 2023 (2023)
With the expansion of mobile communications infrastructure, social media usage in the Global South is surging. Compared to the Global North, populations of the Global South have had less prior experience with social media from stationary computers an
Externí odkaz:
https://doaj.org/article/21467a88a4a94fa0b48cd6dbe15b3505
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Online social networks are ubiquitous, have billions of users, and produce large amounts of data. While platforms like Reddit are based on a forum-like organization where users gather around topics, Facebook and Twitter implement a concept i
Externí odkaz:
https://doaj.org/article/c104197a106d4de4867bb79b57fa32ac
Autor:
Johannes Langguth, Konstantin Pogorelov, Stefan Brenner, Petra Filkuková, Daniel Thilo Schroeder
Publikováno v:
Frontiers in Communication, Vol 6 (2021)
We review the phenomenon of deepfakes, a novel technology enabling inexpensive manipulation of video material through the use of artificial intelligence, in the context of today’s wider discussion on fake news. We discuss the foundation as well as
Externí odkaz:
https://doaj.org/article/788b172455bc420db63bc9264e40de78
Autor:
Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, Konstantin Pogorelov
Publikováno v:
Journal of Computational Social Science.
The COVID-19 pandemic has been accompanied by a surge of misinformation on social media which covered a wide range of different topics and contained many competing narratives, including conspiracy theories. To study such conspiracy theories, we creat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::963c6f0af82f389f8866a034c79bd79b
https://doi.org/10.1007/s42001-023-00200-3
https://doi.org/10.1007/s42001-023-00200-3
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::849d241dc3ae14a3c208eceefc05a0b2
https://doi.org/10.1109/ipdpsw55747.2022.00016
https://doi.org/10.1109/ipdpsw55747.2022.00016
Autor:
Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb9832cdfaede012fd23ab7539cf721f
https://doi.org/10.1109/ipdpsw55747.2022.00189
https://doi.org/10.1109/ipdpsw55747.2022.00189
Autor:
Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov
Publikováno v:
International Journal of Data Science and Analytics (JDSA)
The COVID-19 pandemic has severely affected the lives of people worldwide, and consequently, it has dominated world news since March 2020. Thus, it is no surprise that it has also been the topic of a massive amount of misinformation, which was most l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34786ab643e37e4d72ebdc5e2e596178
https://hdl.handle.net/11250/3016343
https://hdl.handle.net/11250/3016343
Autor:
Konstantin Pogorelov, Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder
Publikováno v:
OASIS@HT
The COVID-19 pandemic has been accompanied by a flood of misinformation on social media, which has been labeled an "infodemic". While a large part of such fake news is ultimately inconsequential, some of it has the potential to real-world harm, but d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85206bfa7583a3e61759a69a328d8794
https://doi.org/10.1145/3472720.3483617
https://doi.org/10.1145/3472720.3483617
Autor:
Ferdinand S. Schaal, Petra Filkuková, Johannes Langguth, Daniel Thilo Schroeder, Konstantin Pogorelov
Publikováno v:
ICAART (2)
In the wake of the COVID-19 pandemic, a surge of misinformation has flooded social media and other internet channels, and some of it has the potential to cause real-world harm To counteract this misinformation, reliably identifying it is a principal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b447fbec1b3f583b2be9731167fe0f3
https://doi.org/10.5220/0010262802570266
https://doi.org/10.5220/0010262802570266
Publikováno v:
SNAMS
Sampling the network structure of online social networks is a widely discussed topic as it enables a wide variety of research in computational social science and associated fields. However, analyzing and sampling contentful messages still lacks effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a128043363b849bf1fca3b83672728e4
https://doi.org/10.1109/snams52053.2020.9336530
https://doi.org/10.1109/snams52053.2020.9336530