How Social Media Impacts Mass Media News Viewership in the Stock Market

2019 ◽  
Author(s):  
Jie Ren ◽  
Hang Dong ◽  
Gaurav Sabnis ◽  
Jeffrey V. Nickerson
Keyword(s):  
Social Media ◽  
Mass Media ◽  
Stock Market

Weibo vs Wall Street Journal: How are Social & Mass Media Different in the Stock Market?

2019 ◽  
Author(s):  
Hang Dong ◽  
Jie Ren ◽  
Balaji Padmanabhan ◽  
Jeffrey V. Nickerson
Keyword(s):  
Mass Media ◽  
Stock Market ◽  
Wall Street Journal ◽  
Wall Street

scholarly journals DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Suppawong Tuarob ◽  
Poom Wettayakorn ◽  
Ponpat Phetchai ◽  
Siripong Traivijitkhun ◽  
Sunghoon Lim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Data Collection ◽  
Stock Market ◽  
Real Time ◽  
Stock Prices ◽  
Contextual Information ◽  
Online News ◽  
Stock Prediction ◽  
Stock Market Prediction

AbstractThe explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous content. For example, a typical stock market investor reads the news, explores market sentiment, and analyzes technical details in order to make a sound decision prior to purchasing or selling a particular company’s stock. However, capturing a dynamic stock market trend is challenging owing to high fluctuation and the non-stationary nature of the stock market. Although existing studies have attempted to enhance stock prediction, few have provided a complete decision-support system for investors to retrieve real-time data from multiple sources and extract insightful information for sound decision-making. To address the above challenge, we propose a unified solution for data collection, analysis, and visualization in real-time stock market prediction to retrieve and process relevant financial data from news articles, social media, and company technical information. We aim to provide not only useful information for stock investors but also meaningful visualization that enables investors to effectively interpret storyline events affecting stock prices. Specifically, we utilize an ensemble stacking of diversified machine-learning-based estimators and innovative contextual feature engineering to predict the next day’s stock prices. Experiment results show that our proposed stock forecasting method outperforms a traditional baseline with an average mean absolute percentage error of 0.93. Our findings confirm that leveraging an ensemble scheme of machine learning methods with contextual information improves stock prediction performance. Finally, our study could be further extended to a wide variety of innovative financial applications that seek to incorporate external insight from contextual information such as large-scale online news articles and social media data.

FACTS, MYTHS AND INFODEMICS IN COVID-19 IN HEALTH CARE WORKERS AND GENERAL POPULATION: AN OBSERVATIONAL STUDY.

2021 ◽  
pp. 49-52
Author(s):  
Shrivastava P ◽  
Verma S ◽  
Khushboo Khushboo ◽  
Bhattacharya P K
Keyword(s):  
Health Care ◽  
Social Media ◽  
General Population ◽  
Mass Media ◽  
Observational Study ◽  
Health Care Workers ◽  
The Public ◽  
Care Workers ◽  
Health Related

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

MEDIA FAKES IN THE INFORMATION SPACE OF THE CORONAVIRUS PANDEMIC

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.

scholarly journals Social Media, News Media and the Stock Market

2016 ◽  
Author(s):  
Peiran Jiao ◽  
Ansgar Walther
Keyword(s):  
Social Media ◽  
Stock Market ◽  
News Media

scholarly journals Predicting Stock Market Movements with Social Media and Machine Learning

2021 ◽  
Author(s):  
Paraskevas Koukaras ◽  
Vasiliki Tsichli ◽  
Christos Tjortjis
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Stock Market

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

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.

scholarly journals A case study on the public knowledge and awareness of the Philippine Pangolin Manis culionensis (Mammalia: Pholidota: Manidae)

2019 ◽  
Vol 11 (12) ◽  
pp. 14484-14489
Author(s):  
Frances Mae Tenorio ◽  
Joselito Baril
Keyword(s):  
Social Media ◽  
Mass Media ◽  
Public Knowledge ◽  
High Demand ◽  
The Public ◽  
Illegal Market ◽  
Medicinal Value ◽  
The Social ◽  
High Degree

Pangolins are poorly known species despite their high demand in the illegal international trade.  This study has been conducted to analyze the awareness of Filipinos towards the endemic Philippine Pangolin Manis culionensis and how much they would be willing to contribute to its conservation.  The respondents were selected from the social media reach of the researchers.  The results showed that most of the respondents know about the pangolin from mass media such as news from television.  Social media is also a factor in their awareness of the animal.  They unanimously agreed that pangolins are important ecologically rather than its medicinal value in the illegal market trade.  Overall, the respondents showed a high degree of knowledge of pangolins and have favorable attitudes towards its conservation.

PEMILIHAN UMUM INDONESIA 2014 DAN PENGGUNAAN MEDIA SOSIAL

2014 ◽  
Vol 2 (1) ◽  
pp. 222-237
Author(s):  
Muhammad Edy Susilo
Keyword(s):  
Social Media ◽  
Political Parties ◽  
Mass Media ◽  
Open Space ◽  
Physical Space ◽  
Virtual Space ◽  
National Elections ◽  
Active Audience ◽  
The Media ◽  
Use Of Social Media

AbstrakPemilihan umum merupakan salah satu Peristiwa penting yang akan menentukan arah perjalanan sebuahnegara. Ada 12 parti politik yang bertanding dalam pemilihan umum 2014. Pelaksanaan pemilihan umumtidak dapat dipisahkan dengan media,kerana media menjadi salah satu cara bagi parti politik untukmendapatkan pemilih. Di Indonesia, hubungan antara politik dengan media menjadi lebih rumit keranasebahagian besar ahli politik parti juga merupakan pemilik media massa nasional. Sudah menjadi sifatmedia, untuk selalu akan menyuarakan kepentingan pemiliknya. Namun, pada pemilihan umum 2014ada fenomena yang menarik iaitu luasnya penggunaan media sosial, seiring dengan meningkatnyapenggunaan internet di Indonesia. Maka, kempen politik bergeser dari ruang fizik menuju ruang maya.Jika pada pemilihan umum sebelum ini kempen politik selalu melibatkan massa yang besar, pawai atauorasi di tempat, terbuka, namun kali ini kempen yang dilakukan adalah lebih bersifat individu. Kempendilakukan melalui telefon pintar, komputer riba dan gajet yang lain. Dengan media sosial, masyarakatbukan lagi penonton yang pasif tetapi aktif. Masyarakat boleh menjadi penyampai maklumat dan bukanhanya sebagai penonton, sehingga dominasi media massa konvensional runtuh. Salah satu fenomenayang menonjol adalah munculnya Tokoh Joko Widodo, yang popular dengan nama Jokowi, sebagai salahsatu calon presiden dari Parti Demokrasi Indonesia Perjuangan. Jokowi berjaya menggunakan mediasosial untuk bekempen, walaupun partinya tidak memiliki media massa. Abstract General election is one of the crucial moments that will determine the development of a country. Thereare 12 political parties competing in the 2014 Indonesian national elections. The elections cannot beseparated with the media, because political parties use media in their campaign to influence voters. InIndonesia, the relationship between politics and the media becomes more complicated because most ofthe party’s political elites are also the owner of the national mass media. It is the nature of media, to alwaysbe voicing the interests of its owner. However, in the 2014 elections there is an interesting phenomenon:the increasing use of social media, along with the increasing penetration of the Internet in Indonesia. Thus,the political campaign shifted from physical space to the virtual space. If in the previous elections, politicalcampaigns always involve huge masses and rhetorics in the open space; in this election the campaigncarried more personal. Now, campaigns are conducted through smart phones, laptops and other gadgets.With social media, people are no longer passive but active audience. People can be a message producerand not just as an audience, so the conventional media dominance collapsed. One of the prominentphenomenon is the rising popularity of the president candidates from the Partai Demokrasi IndonesiaPerjuangan, Joko Widodo, who is popularly known as Jokowi. Jokowi has successfully used social mediafor the campaign, even though his political party does not have the mass media.

Analyzing Blending Social and Mass Media Audiences through the Lens of Computer-Mediated Discourse

2015 ◽  
pp. 1281-1304
Author(s):  
Asta Zelenkauskaite
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Mass Media ◽  
Large Scale ◽  
Automated Analysis ◽  
Media Content ◽  
Media Audiences ◽  
Audience Analysis ◽  
Computer Mediated ◽  
Mediated Discourse

In recent years, mass media content has undergone a blending process with social media. Large amounts of text-based social media content have not only shaped mass media products, but also provided new opportunities to access audience behaviors through these large-scale datasets. Yet, evaluating a plethora of audience contents strikes one as methodologically challenging endeavor. This study illustrates advantages and applications of a mixed-method approach that includes quantitative computer-mediated discourse analysis (CMDA) and automated analysis of content frequency. To evaluate these methodologies, audience comments consisting of Facebook comments and SMS mobile texting to Italian radio-TV station RTL 102.5 were analyzed. Blended media contents through computer-mediated discourse analysis expand horizons for theoretical and methodological audience analysis research in parallel to established audience analysis metrics.

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