Brands and consumers alike have become creators and distributors of digital words, thus
generating increasing interest in insights to be gained from text-based content. This work …

The advent of Large Language Models (LLMs) has ushered in a new era for design science
in Information Systems, demanding a paradigm shift in tailoring LLMs design for business …

Finding attackable sentences in an argument is the first step toward successful refutation in
argumentation. We present a first large-scale analysis of sentence attackability in online …

Curb space is one of the busiest areas in urban road networks. Especially in recent years,
the rapid increase of ride-hailing trips and commercial deliveries has induced massive pick …

Status is widely used to incentivize user engagement online. However, visible status
indicators could inadvertently bias online deliberation to favor high-status users. In this work …

Researchers in social sciences are increasingly using surveys that require written
responses from participants. Because of the small sample size and short answers, it is …

Making sense of massive, individual-level data is challenging: marketing researchers and
analysts need flexible models that can accommodate rich patterns of heterogeneity and …

This research commentary introduces Double/Debiased Machine Learning (DML), a novel
methodological framework, to the Information Systems (IS) research community, showcasing …

In the dynamic landscape of modern business, empowering brands goes beyond
conventional marketing strategies—it delves into the art of persuasive marketing and the …

The rapid growth in e-commerce has led to a concomitant increase in consumers' reliance
on digital word-of-mouth to inform their choices. As such, there is an increasing incentive for …