The task of predicting entities and relations in Temporal Knowledge Graph (TKG)
extrapolation is crucial and has been studied extensively. Mainstream algorithms, such as …

With increased availability of disaggregated conflict event data for analysis, there are new
and old concerns about bias. All data have biases, which we define as an inclination …

Network science established itself as a prominent tool for modeling time series and complex
systems. This modeling process consists of transforming a set or a single time series into a …

Bots' ability to influence public discourse is difficult to estimate. Recent studies found that
hyperpartisan bots are unlikely to influence public opinion because bots often interact with …

Abstract While the European General Data Protection Regulation (GDPR) has received
significant attention in the information systems literature, concerns that it would adversely …

This paper presents a critical discussion of the processing, reliability and implications of free
big data repositories. We argue that big data is not only the starting point of scientific …

Purpose A small-world network is a type of network structure in which nodes are highly
clustered and at short distances without being directly linked. This article analyzes whether …

This study focuses on the long-term comparison of the city brand influence constructed and
reflected by global news media. Specifically, from the analytical perspective of two paths and …

Economic integration is underway in East Asia and the Asia-Pacific region, including the
Association of Southeast Asian Nations (ASEAN) community-building process, with the …

This book explores the phenomenon of distortion of information through media via the lens
of the COVID-19 pandemic, and the ways in which relevant information distortion and virality …