While there is substantial research on COVID-19’s general framing in the news, little known about antecedents and moderators of using moral language communicating disease to audiences. In this study, we rely Model Intuitive Morality Exemplars explore how news media’s attention COVID-19 moralizing vary with respect ultimate (historical pathogen prevalence) proximate (spread COVID-19) socio-psych...

newsgroups carry a wide enough spread of messages to make most individuals consider Usenet news to be a high noise information resource. Furthermore, each user values a different set of messages. Both taste and prior knowledge are major factors in evaluating news articles. For example, readers of the rec.humor newsgroup, a group designed for jokes and other humorous postings, value articles bas...

Managers are responsible for providing financial statements and they might try to make a good picture of their firm's conditions. Therefore, they try to delay the disclosure of bad news and release the good news as soon as possible. The ten-dency of managers toward hiding bad news increases the stock price crash risk. The protection of investor is one of the factors that can prevent from fallin...

Background and Objective: The ability of breaking bad news to patients, especially to patients diagnosed with cancer is one of the challengeable issues in the field of medicine. On this basis, this study was designed to assess physicianschr('39') performance as well as importance of their training on how to deliver bad news to patients diagnosed with cancer. Materials and Methods: This was a p...

The fake news “infodemic”, facilitated by social media and mobile message sharing platforms, has progressed from causing a nuisance to seriously impacting law order through deliberate large-scale manipulation of public sentiments. There are social, religious, political, economic dimensions the phenomenon, providing enough motivation for interested parties push biased opinions, cla...

This research scrutinizes the content, spread, and implications of disinformation in Brazil’s 2018 pre-election period. It focuses specifically on most widely shared fake news about Lula da Silva links these with preexisting polarization political radicalization, ascertaining role context. The relied a case study mixed-methods approach that combined an online data collection propagators, intera...

In this paper various ARCH models and relevant news impact curves including a partially nonparametric (PNP) one are compared and estimated with daily Iran stock return data. Diagnostic tests imply the asymmetry of the volatility response to news. The EGARCH model, which passes all the tests and appears relatively matching with the asymmetry in the data, seems to be the most adequate characteriz...