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Article
Causal machine learning for predicting treatment outcomes
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment outcomes including efficacy and toxicity, thereby supporting the assessment and safety of drugs. A key benefit of caus...
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Article
Open AccessGenerative AI
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Article
Open AccessMessage framing to promote solar panels
Green technologies, such as solar panels, foster the use of clean energy, yet often involve large-scale investments. Hence, adoption by retail consumers has been a key barrier. Here, we show that message frami...
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Article
Research can help to tackle AI-generated disinformation
Generative artificial intelligence (AI) tools have made it easy to create realistic disinformation that is hard to detect by humans and may undermine public trust. Some approaches used for assessing the reliab...
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Article
Building open-source AI
Artificial intelligence (AI) drives innovation across society, economies and science. We argue for the importance of building AI technology according to open-source principles to foster accessibility, collabor...
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Article
Open AccessRussian propaganda on social media during the 2022 invasion of Ukraine
The Russian invasion of Ukraine in February 2022 was accompanied by practices of information warfare, yet existing evidence is largely anecdotal while large-scale empirical evidence is lacking. Here, we analyz...
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Article
Open AccessNegativity drives online news consumption
Online media is important for society in informing and sha** opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on ...
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Article
Open AccessThe methodologies to assess the effectiveness of non-pharmaceutical interventions during COVID-19: a systematic review
Non-pharmaceutical interventions, such as school closures and stay-at-home orders, have been implemented around the world to control the spread of SARS-CoV-2. Their effectiveness in improving health-related ou...
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Article
Bringing artificial intelligence to business management
Artificial intelligence (AI) can support managers by effectively delegating management decisions to AI. There are, however, many organizational and technical hurdles that need to be overcome, and we offer a fi...
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Article
Open AccessThe Cost of Fairness in AI: Evidence from E-Commerce
Contemporary information systems make widespread use of artificial intelligence (AI). While AI offers various benefits, it can also be subject to systematic errors, whereby people from certain groups (defined ...
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Article
Monitoring global development aid with machine learning
Monitoring global development aid provides important evidence for policymakers financing the Sustainable Development Goals (SDGs). To overcome the limitations of existing monitoring, we develop a machine learn...
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Article
Open AccessEstimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19
To control the COVID-19 pandemic, countries around the world have implemented non-pharmaceutical interventions (NPIs), such as school closures or stay-at-home orders. Previous work has estimated the effectiven...
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Article
Open AccessEmotions explain differences in the diffusion of true vs. false social media rumors
False rumors (often termed “fake news”) on social media pose a significant threat to modern societies. However, potential reasons for the widespread diffusion of false rumors have been underexplored. In this w...
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Article
Open AccessEmotions in online rumor diffusion
Emotions are regarded as a dominant driver of human behavior, and yet their role in online rumor diffusion is largely unexplored. In this study, we empirically study the extent to which emotions explain the di...
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Article
Open AccessMitigating bias in machine learning for medicine
Several sources of bias can affect the performance of machine learning systems used in medicine and potentially impact clinical care. Here, we discuss solutions to mitigate bias across the different developmen...
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Article
Open AccessFair AI
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Chapter and Conference Paper
Affective Information Processing of Fake News: Evidence from NeuroIS
False information such as “fake news” threatens the credibility of social media and is widely believed to affect public opinion. So far, IS literature lacks a theoretical foundation on what leads humans to cla...
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Chapter and Conference Paper
Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS
False information such as “fake news” is widely believed to influence the opinions of individuals. So far, information systems (IS) literature is lacking a theoretical understanding of how users react and resp...
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Chapter and Conference Paper
Bringing Advanced Analytics to Manufacturing: A Systematic Map**
Advanced analytics has the potential to redefine manufacturing. However, practical implementation is in its infancy. One reason is a lack of management tools that enable decision-makers to choose suitable tech...
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Chapter
Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data
Financial investors face an increasing information abundance when making their valuation decisions of financial assets. As Information Systems research demonstrated, valuation not only builds on quantitative f...