Media

The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence. The Fact Extraction and VERification (FEVER) dataset provides such a resource for evaluating end-to-end fact-checking, requiring retrieval of evidence from Wikipedia to validate a veracity prediction.

An information system is a primitive structure that defines which agents can initially get information and how such information is then distributed to others. From political and organizational economics to privacy, information systems arise in various contexts and, unlike information itself, can be easily observed empirically. We introduce a methodology to characterize how information systems affect strategic behavior. This involves proving a revelation principle result for a novel class of constrained information design problems.

We examine the microeconomics of using algorithms to nudge decision-makers towards particular social outcomes. We refer to this as "algorithmic social engineering." In this article, we apply classic strategic communication models to this strategy. Manipulating predictions to express policy preferences strips the predictions of informational content and can lead decision-makers to ignore them. When social problems stem from decision-makers’ objectives (rather than their information sets), algorithmic social engineering exhibits clear limitations.

Technological advances have resulted in a hyperconnected world, requiring a reassessment of branding research from the perspectives of firms, consumers, and society. Brands are shifting away from single ownership to shared ownership, as heightened access to information and people is allowing more stakeholders to cocreate brand meanings and experiences alongside traditional brand owners and managers.

We explored the balance between societal benefits that negatively affect firms' financial performance by eroding their competitive advantage and positive effects that enhanced their reputations as technological leaders to study the effects of forward citations upon firms' financial performance.

In this research, we investigate the prevalence, robustness and possible reasons underlying the polarity of online review distributions with the majority of the reviews at the positive end of the rating scale, a few reviews in the mid-range and some reviews at the negative end of the scale.

Once artificial intelligence (AI) is indistinguishable from human intelligence, and robots are highly similar in appearance and behavior to humans, there should be no reason to treat AI and robots differently from humans. However, even perfect AI and robots may still be subject to a bias (referred to as speciesism in this article), which will disadvantage them and be a barrier to their commercial adoption as chatbots, decision and recommendation systems, and staff in retail and service settings.

The Emerging Video Cloud System

Few questions are fraught with more long-term implications than the way we shape our communications system. If the medium is indeed the message, and if these messages influence people and institutions, then tomorrow’s media, and today’s media policies, will govern future society, culture, and economy.

Over the past decade, data has transformed everyday life. While it has changed the way people shop and businesses operate (Goldfarb and Tucker, 2019), it has only just begun to permeate economists thinking about the aggregate economy. In the early twentieth century, economists like Schultz (1943) analyzed agrarian economies and land-use issues. As agricultural productivity improved, production shifted more to manufacturing. Modern macroeconomics adapted with models featuring capital and labor, markets for goods, and equilibrium wages (Solow, 1956).