The discrepancy between science and media has been affecting the effectiveness of science communication. Original findings from science publications may be distorted with altered claim strength when reported to the public, causing misinformation spread. This study conducts an NLP analysis of exaggerated claims in science news, and then constructed prediction models for identifying claim strengt...

News headlines are a vital source of information for the masses. Identifying diseases that are being spread or discovered is important to take necessary steps for their prevention and cure. Our system uses a syntactic and lexical constraint-based approach which then goes through a frequency analysis phase to extract meaningful disease names. In the task of top-150 (unique) disease mention recog...

This paper reports on the Event StoryLine Corpus (ESC) v0.9, a new benchmark dataset for the temporal and causal relation detection. By developing this dataset, we also introduce a new task, the StoryLine Extraction from news data, which aims at extracting and classifying events relevant for stories, from across news documents spread in time and clustered around a single seminal event or topic....

The online content market for news and music is changing rapidly with the spread of technology and innovative business models (e.g. the online delivery of music, specialised subscription news services). It is correspondingly hard for suppliers of online content to anticipate developments and the effects of their businesses. The paper describes a prototype multiagent simulation to model possible...

Reports on what users experience when interacting with currently available news aggregator services. Five news aggregator services were chosen as the most representatives of emerging trends in this area of research and a combination of quantitative and qualitative methods were used for data collection involving users from the academic and research community. Forty-five responses were received f...

Purpose: The aim of present research was the comparative study of white marriage news based on effective news components in the Persian section of Al-Alam, Persian BBC and Voice of America news sites. Methodology: This study in terms of purpose was applied and in terms of implementation method was quantitative. The research community was the white marriage news of Persian section of Al-Alam, P...

We investigated online diffusion of information, spread of fear, and perceived risk of infection to Middle East Respiratory Syndrome (MERS) as cases of MERS spread rapidly and dozens of fatalities occurred in South Korea in May-June of 2015. This study retrieved 8,671,695 MERS-related online documents from May 20 to June 18, 2015, from 171 Korean online channels and analyzed such documents by u...

OBJECTIVES The Zika virus (ZIKV) outbreak in the Americas in 2015-2016 posed a novel global threat due to the association with congenital malformations and its rapid spread. Timely information about the spread of the disease was paramount to public health bodies issuing travel advisories. This paper looks at the online interaction with a national travel health website during the outbreak and co...

Social media has quickly established itself as an important means that people, NGOs and governments use to spread information during natural or man-made disasters, mass emergencies and crisis situations. Given this important role, real-time analysis of social media contents to locate, organize and use valuable information for disaster management is crucial. In this paper, we propose self-learni...

We use the Meme-tracking system to understand how phrases spread across news sources [3]. We have observed how a meme gains momentum and loses popularity, and observed how the category of the meme affects its life. We begin by looking at various statistics from the frequency data to understand differences between the lifetime of memes across subject matter and media source, and look for methods...