We thank the authors for the extensive and thoughtful replication of our paper "Negativity drives online news consumption" (Robertson et al 2023). The authors conducted two types of direct replications and two types of conceptual replications of our analyses, and in all cases, found our main...

Aggarwal et al. (2023) analyze the effects of an 8-month-long advertising program on voter turnout in the 2020 US presidential election. Therein, 2 million voters were exposed to pro-Biden and anti-Trump advertisements on social media in five battleground states. The study finds no average...

Digitization promotes the instant dissemination of news in financial markets. These news represent unprecedented amounts of unstructured data. This paper applies Big Data analytics to financial news related to the natural gas market. To date, we find evidence on 16 different variables as drivers...

We thank the authors for the extensive and thoughtful replication of our paper "Negativity drives online news consumption" (Robertson et al 2023). The authors conducted two types of direct replications and two types of conceptual replications of our analyses, and in all cases, found our main...

Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials. This represents a rich source of information from which one can create value for people, organizations and businesses. For instance, recommender systems can benefit from...

Aggarwal et al. (2023) analyze the effects of an 8-month-long advertising program on voter turnout in the 2020 US presidential election. Therein, 2 million voters were exposed to pro-Biden and anti-Trump advertisements on social media in five battleground states. The study finds no average...