What is the effect on memory when seemingly innocuous photos accompany false reports of the news? We asked people to read news headlines of world events, some of which were false. Half the headlines appeared with photographs that were tangentially related to the event; others were presented without photographs. People saw each headline only once, and indicated whether they remembered the event,...

News on electrical bulletin boards consist of high density expressions. Many sentences end with unique expressions that consist of nouns and case particles. This paper focuses on expressions used at the end of sentences and attempts to summarize them by forming noun or case particle endings. We summarize the news sentence through pattern matching approach. Our evaluation illustrates that the su...

This paper reports on a experiment to identify the emotional loading (the “valence”) of news headlines. The experiment reported is based on a resource-thrifty approach for valence annotation based on a word-space model and a set of seed words. The model was trained on newsprint, and valence was computed using proximity to one of two manually defined points in a highdimensional word space — one ...

This paper delineates the simultaneous impact of non-anticipated information on first and second moments of the intraday price process by including appropriate variables accounting for the news flow into both the mean and the variance function. This allows us to differentiate between the consistent price reaction to surprising news and traders’ uncertainty about the precise price impact of this...

Jacquelyn Bialo, MPH Candidate You can’t look to any news source these days without seeing at least one headline about health care reform. It’s unavoidable— the health care debate is ubiquitous. With the House having passed an initial reform bill and a 60-39 Senate vote opening a floor debate about the 2,074 page legislation, Public Health Rounds asked some of our Tufts experts to weigh in with...

Abstract Existing work generally classifies news headlines as a matter of short text classification. However, due to the strong domain nature and limited length headlines, their classification results are usually determined by several specific keywords, which makes traditional method ineffective. In this paper, we propose new identify keywords in expand features from sentence level word respect...

This paper delineates the simultaneous impact of non-anticipated information on mean and variance of the intraday return process by including appropriate variables accounting for the news flow into both the mean and the variance function. This allows us to differentiate between the consistent price reaction to surprising news and the traders’ uncertainty about the precise price impact of this i...

This study attempted to deploy a high performing natural language processing model which specifically trained on flagging clickbait Indonesian news headline. The deployed is accessible from any internet-connected device because it implements representational state transfer application programming interface (RESTful API). useful avoid often solely purposed rack money but not delivering trustwort...