How does social media sentiment impact mass media sentiment? A study of news in the financial markets

Despite the ubiquity of health-related communications via social media, no consensus has emerged what information should be conveyed and how it should be conveyed to avoid creating panic among general population. With lockdowns social media, mass media became as a habit by people for news, information regarding COVID-19 and it is practiced even after lockdown. During the COVID-19 pandemic, mass media, social media and local news has become as the source of a toxic “infodemic” source for public. It contained both solicited and unsolicited advice. No conceptual model exists for examining the roles of media. It is important to rst assess the important mis-information, role of infodemics and prevalent casualness among the public regarding the COVID-19. Till mass vaccination is not commenced it is prudent to emphasize guidelines and practices as per COVID guidelines like social distancing, wearing mask, hand hygiene

Download Full-text

MEDIA FAKES IN THE INFORMATION SPACE OF THE CORONAVIRUS PANDEMIC

Voprosy Kognitivnoy Lingvistiki ◽

10.20916/1812-3228-2021-3-67-74 ◽

2021 ◽

pp. 67-74

Author(s):

A.G. Gurochkina ◽

◽

D.A. Makurova ◽

Keyword(s):

Social Media ◽

Mass Media ◽

Information Space ◽

Fake News ◽

Media Communication ◽

Information Distortion ◽

The Third ◽

Mechanisms Of Formation

The paper explores the grave issue for modern-day research of mass media communication - fake news. The study aims at identifying cognitive bases and mechanisms of formation of media fakes about coronavirus. The first part of the article defines fake news and delineates salient characteristics of fake news. The second part of the article reveals some common semantic macrostructures of media fakes about the virus based on the analysis of social media posts and news articles. The third part of the article presents and describes the key strategies and tactics of manipulation and information distortion typical of fake news about the virus. The analysis reveals essential cognitive and pragmalinguistic components of coronavirus media fakes. The results of the undertaken research are relevant to further exploring other features of fake news and can be implemented as a guide for identifying fake news in order to reduce the mass addressee’s susceptibility to fakes.

Download Full-text

Investigating the Impact of Media Sentiment and Investor Attention on Financial Markets

Lecture Notes in Business Information Processing - Enterprise Applications and Services in the Finance Industry ◽

10.1007/978-3-642-36219-4_1 ◽

2013 ◽

pp. 3-19 ◽

Cited By ~ 6

Author(s):

Michael Siering

Keyword(s):

Financial Markets ◽

Investor Attention ◽

Media Sentiment ◽

The Impact

Download Full-text

Social Media Sentiment Analysis: The Hajj Tweets Case Study

Journal of Computer Science ◽

10.3844/jcssp.2021.265.274 ◽

2021 ◽

Vol 17 (3) ◽

pp. 265-274

Author(s):

Mohammad Ashraf Ottom ◽

Khalid M.O. Nahar

Keyword(s):

Social Media ◽

Sentiment Analysis ◽

Media Sentiment

Download Full-text

Citizen Journalism and Public Participation in the Era of New Media in Indonesia: From Street to Tweet

Media and Communication ◽

10.17645/mac.v7i3.2094 ◽

2019 ◽

Vol 7 (3) ◽

pp. 79-90

Author(s):

Iswandi Syahputra ◽

Rajab Ritonga

Keyword(s):

Social Media ◽

Mass Media ◽

New Media ◽

Public Participation ◽

Salient Feature ◽

Political Polarization ◽

Primary Data ◽

Citizen Journalism ◽

Independent Information ◽

The Government

Citizen journalism was initially practiced via mass media. This is because citizens trusted mass media as an independent information channel, and social media like Twitter was unavailable. Following mass media’s affiliation to political parties and the rise of social media, citizens began using Twitter for delivering news or information. We dub this as citizen journalism from street to tweet. This study found that such process indicates the waning of mass media and the intensification of social media. Yet, the process neither strengthened citizen journalism nor increased public participation as it resulted in netizens experiencing severe polarization between groups critical and in support of the government instead. We consider this as a new emerging phenomenon caused by the advent of new media in the post-truth era. In this context, post-truth refers to social and political conditions wherein citizens no longer respect the truth due to political polarization, fake-news-producing journalist, hate-mongering citizen journalism, and unregulated social media activities. Primary data were obtained through in-depth interviews with four informants. While conversation data of netizens on Twitter were acquired from a Twitter conversation reader operated by DEA (Drone Emprit Academic), a big data system capable of capturing and analyzing netizen’s conversations, particularly on Twitter in real time. This study may have implications on the shift of citizen journalism due to its presence in the era of new media. The most salient feature in this new period is the obscurity of news, information, and opinions conveyed by citizens via social media, like Twitter.

Download Full-text