Blar i Handelshøyskolen BI på forfatter "Langguth, Johannes"
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COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
Langguth, Johannes; Schroeder, Daniel Thilo; Filkukova, Petra; Brenner, Stefan; Phillips, Jesper; Pogorelov, Konstantin (Journal article; Peer reviewed, 2023)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 ... -
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire
Langguth, Johannes; Filkukova, Petra; Brenner, Stefan; Schroeder, Daniel Thilo; Pogorelov, Konstantin (Peer reviewed; Journal article, 2022)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 ... -
Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks
Langedal, Kenneth; Langguth, Johannes; Manne, Fredrik; Schroeder, Daniel Thilo (Peer reviewed; Journal article, 2022)Minimum weighted vertex cover is the NP-hard graph problem of choosing a subset of vertices incident to all edges such that the sum of the weights of the chosen vertices is minimum. Previous efforts for solving this in ... -
Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis
Straume, Hans-Martin; Asche, Frank; Oglend, Atle; Abrahamsen, Eirik Bjorheim; Birkenbach, Anna M.; Langguth, Johannes; Lanquepin, Guillaume; Roll, Kristin Helen (Journal article; Peer reviewed, 2022)A rapidly growing literature investigates how the recent Covid-19 pandemic has affected international seafood trade along multiple dimensions, creating opportunities as well as challenges. This suggests that many of the ...