News consumption is evolving from offline newspapers to online news. Nevertheless, no profitable business model exists for online news, and publishers are still reporting drops in revenue. Personalized news aggregators (PNAs), which rely on new information and communication technologies, provide a new way to aggregate content that might provide the basis for a revenue model in order to design a...

We present a data-driven technique for acquiring domain-level importance of verbs from the analysis of abstract/article pairs of world news articles. We show that existing lexical resources capture some the semantic characteristics for important words in the domain. We develop a novel characterization of the association between verbs and personal story narratives, which is descriptive of verbs ...

In order to understand news, dependency patterns between objects in (economic) news items have to be detected. We propose a framework which makes it possible to discover these patterns, and support the observations with statistical analysis. Based on these patterns, alerts can be generated based on emerging news. These alerts can then be used to manage (equity) portfolios. We test our framework...

In recent years, scholars have raised concerns on the effects that unreliable news, or “fake news,” has our political sphere, and democracy as a whole. For example, propagation of fake news social media is widely believed to influenced outcome national elections, including 2016 U.S. Presidential Election, 2020 COVID-19 pandemic. What drives an individual level, which interventions could effecti...

In the era of short video, Tik Tok, Kuaishou and other video apps have become an important way for news media to spread information. This paper will analyze skills journalists should in by interpreting basic features positive negative effects reports.

We investigate the dynamics of return and liquidity (co) jumps for three most traded emerging market currencies vis-à-vis US dollar. Accordingly, an increase in average bid-ask spread (realized volatility) significantly reduces duration between consecutive (liquidity) jumps, while volatility only play a partial role on return-liquidity cojumps. There is also evidence vicious spirals views posit...

SocialNews seeks to enhance the news results returned by online news services such as Google News or Bing News by leveraging social networking information to provide more relevant results to the user. For example, Facebook profiles contain a wealth of information about the user’s interests, hobbies, personal history, and friends. We describe a system that analyzes the content in a user’s social...

We use quantitative media (blogs, and news as a comparison) data generated by a large-scale natural language processing (NLP) text analysis system to perform a comprehensive and comparative study on how company related news variables anticipates or reflects the company’s stock trading volumes and financial returns. Building on our findings, we give a sentiment-based market-neutral trading strat...