Does Twitter affect Stock Market Decisions?Financial Sentiment Analysis in Pandemic Seasons: A Comparative Study of H1N1 and COVID-19

Abstract Backgroud:Investors are always playing with the fears and desires of buyers and sellers. Stock exchange markets are not the exception. Financial sentiment analysis allows us to understand the effect of reactions and emotions on social media in the stock market. In this research, we analyze Twitter data and financial indices to answer the question: How do polarity generated by the posts on Twitter influence financial indices behavior in pandemic seasons? Methods:The study is based on the sentiment analysis of influential Twitter accounts in this field and its relationship with the behavior of important financial indices. To achieve this, we tested four lexicons to detect polarity on Twitter. Results:Our findings shows that the period in which the markets reacted was 6 to 13 days after the information was shared and disseminated on Twitter in the COVID-19 season, and 1 to 2 day for H1N1 season. Furthermore, in our analysis, we found that the lexicons that got the best results for sentiment analysis on Twitter were S140 and Affin.Conclusions:Financial sentiment analysis is an important technique to forecasting stock market and polarity is the most widely used technique in the financial area. There is a relationship between the polarity in Twitter and the financial indexes behavior. The most influential Twitter accounts during the pandemic season were The New York Times, Bloomberg, CNN News, and Investing, presenting a very high relation between sentiments on Twitter and the stock market behavior.

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Absence of the weekend effect and industry-style portfolios

Journal of Financial Economic Policy ◽

10.1108/jfep-04-2019-0066 ◽

2019 ◽

Vol 12 (4) ◽

pp. 463-475

Author(s):

Selma Izadi ◽

Abdullah Noman

Keyword(s):

New York ◽

Stock Market ◽

Structural Breaks ◽

Stock Exchange ◽

Structural Break ◽

Weekend Effect ◽

Content Type ◽

Market Portfolio ◽

The Us ◽

Using Data

Purpose The existence of the weekend effect has been reported from the 1950s to 1970s in the US stock markets. Recently, Robins and Smith (2016, Critical Finance Review, 5: 417-424) have argued that the weekend effect has disappeared after 1975. Using data on the market portfolio, they document existence of structural break before 1975 and absence of any weekend effects after that date. The purpose of this study is to contribute some new empirical evidences on the weekend effect for the industry-style portfolios in the US stock market using data over 90 years. Design/methodology/approach The authors re-examine persistence or reversal of the weekend effect in the industry portfolios consisting of The New York Stock Exchange (NYSE), The American Stock Exchange (AMEX) and The National Association of Securities Dealers Automated Quotations exchange (NASDAQ) stocks using daily returns from 1926 to 2017. Our results confirm varying dates for structural breaks across industrial portfolios. Findings As for the existence of weekend effects, the authors get mixed results for different portfolios. However, the overall findings provide broad support for the absence of weekend effects in most of the industrial portfolios as reported in Robins and Smith (2016). In addition, structural breaks for other weekdays and days of the week effects for other days have also been documented in the paper. Originality/value As far as the authors are aware, this paper is the first research that analyzes weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

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GOVERNANCE OF THE FACEBOOK PRIVACY CRISIS

Pittsburgh Journal of Technology Law and Policy ◽

10.5195/tlp.2020.234 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Lawrence J. Trautman

Keyword(s):

United States ◽

New York ◽

Social Media ◽

Audit Committee ◽

New York Times ◽

The United States ◽

Front Page ◽

Select Committee ◽

The New York Times ◽

Social Media Platforms

In November 2018, The New York Times ran a front-page story describing how Facebook concealed knowledge and disclosure of Russian-linked activity and exploitation resulting in Kremlin led disruption of the 2016 and 2018 U.S. elections, through the use of global hate campaigns and propaganda warfare. By mid-December 2018, it became clear that the Russian efforts leading up to the 2016 U.S. elections were much more extensive than previously thought. Two studies conducted for the United States Senate Select Committee on Intelligence (SSCI), by: (1) Oxford University’s Computational Propaganda Project and Graphika; and (2) New Knowledge, provide considerable new information and analysis about the Russian Internet Research Agency (IRA) influence operations targeting American citizens.By early 2019 it became apparent that a number of influential and successful high growth social media platforms had been used by nation states for propaganda purposes. Over two years earlier, Russia was called out by the U.S. intelligence community for their meddling with the 2016 American presidential elections. The extent to which prominent social media platforms have been used, either willingly or without their knowledge, by foreign powers continues to be investigated as this Article goes to press. Reporting by The New York Times suggests that it wasn’t until the Facebook board meeting held September 6, 2017 that board audit committee chairman, Erskin Bowles, became aware of Facebook’s internal awareness of the extent to which Russian operatives had utilized the Facebook and Instagram platforms for influence campaigns in the United States. As this Article goes to press, the degree to which the allure of advertising revenues blinded Facebook to their complicit role in offering the highest bidder access to Facebook users is not yet fully known. This Article can not be a complete chapter in the corporate governance challenge of managing, monitoring, and oversight of individual privacy issues and content integrity on prominent social media platforms. The full extent of Facebook’s experience is just now becoming known, with new revelations yet to come. All interested parties: Facebook users; shareholders; the board of directors at Facebook; government regulatory agencies such as the Federal Trade Commission (FTC) and Securities and Exchange Commission (SEC); and Congress must now figure out what has transpired and what to do about it. These and other revelations have resulted in a crisis for Facebook. American democracy has been and continues to be under attack. This article contributes to the literature by providing background and an account of what is known to date and posits recommendations for corrective action.

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Study of Automotive Brands Popularity in Indonesia Using Twitter Data

Journal of Applied Information, Communication and Technology ◽

10.33555/ejaict.v3i1.91 ◽

2016 ◽

Vol 3 (1) ◽

pp. 23-33

Author(s):

Stevent Efendi ◽

Alva Erwin ◽

Kho I Eng

Keyword(s):

Social Media ◽

Social Network ◽

Sentiment Analysis ◽

Automotive Industry ◽

Real World ◽

The Internet ◽

Brand Preference ◽

Twitter Data ◽

Wide Range ◽

Widespread Phenomenon

Social media has been a widespread phenomenon in the recent years. People shared a lot of thought in social media, and these data posted on the internet could be used for study and researches. As one of the fastest growing social network, Twitter is a particularly popular social media to be studied because it allows researchers to access their data. This research will look the correlation between Twitter chatter of a brand and the sales of brands in Indonesia. Factors such as sentiment and tweet rate are expected to be able to predict the popularity of a brand. Being one of the biggest industries in Indonesia, automotive industry is an interesting subject to study. A wide range of people buys vehicles, and even gather as communities based on their car or motorcycle brand preference. The Twitter results of sentiment analysis and tweet rate will be compared with real world sales results published by GAIKINDO and AISI.

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IFRS and Stock Returns: An Empirical Analysis in Brazil

Binus Business Review ◽

10.21512/bbr.v7i2.1593 ◽

2016 ◽

Vol 7 (2) ◽

pp. 179 ◽

Cited By ~ 1

Author(s):

Rodrigo F. Malaquias ◽

Anderson Martins Cardoso ◽

Gabriel Alves Martins

Keyword(s):

New York ◽

Stock Market ◽

Stock Returns ◽

Stock Exchange ◽

Relevant Information ◽

Graphic Analysis ◽

Accounting Numbers ◽

Before And After ◽

Accounting Reports ◽

Accounting Convergence

In recent years, the convergence of accounting standards has been an issue that motivated new studies in the accounting field. It is expected that the convergence provides users, especially external users of accounting information, with comparable reports among different economies. Considering this scenario, this article was developed in order to compare the effect of accounting numbers on the stock market before and after the accounting convergence in Brazil. The sample of the study involved Brazilian listed companies at BM&FBOVESPA that had American Depository Receipts (levels II and III) at the New York Stock Exchange (NYSE). For data analysis, descriptive statistics and graphic analysis were employed in order to analyze the behavior of stock returns around the publication dates. The main results indicate that the stock market reacts to the accounting reports. Therefore, the accounting numbers contain relevant information for the decision making of investors in the stock market. Moreover, it is observed that after the accounting convergence, the stock returns of the companies seem to present lower volatility.

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My Work is Yours to Do What I Want

Media-N ◽

10.21900/j.median.v17i1.485 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Rebekah Modrak

Keyword(s):

New York ◽

Social Media ◽

Consumer Culture ◽

New York Times ◽

The Real ◽

Fictitious Character ◽

A Company ◽

Parasitic Manipulations

My Work is Yours to Do What I Want narrates the trajectory of two companies, one of them actual (Best Made Co.), and the second (Re Made Co.), an artwork posing as a company that uses remix to strategically confuse, conflate, and disrupt consumer culture. Re Made appears to be an online company founded by the fictitious character Peter Smith-Buchanan, and selling $350 hand-painted plungers. The entire event of Re Made offers an alternate universe—both digital and real—for Best Made Company, which was founded by (the real) Peter Buchanan-Smith, and specializes in $350 artisanal axes. Like a cloned twin or digital virus, Re Made and Buchanan-Smith mimic Best Made and Smith-Buchanan. If Best Made posts a decapitated pig’s head with an axe in its mouth on social media, Re Made’s BBQ pig gnashes a plunger on Instagram. When a New York Times feature refers to the Best Made axe as “manly,” a divergent NYTimes article heralds the masculine plunger. Peter Buchanan-Smith declares the axe to be “embedded in men’s DNA,” and Smith-Buchanan proclaims the plunger an extension of men’s bodies. The real Peter Buchanan-Smith emails Re Made’s CEO Peter Smith-Buchanan insisting he stop this plunder of reality. Acting as Smith-Buchanan’s intern, I (the female creator of the artwork) reply. Best Made’s lawyers send Re Made’s lawyers a 32-page cease-and-desist documenting the paths converging too closely for their liking. Just as the artwork Re Made uses remix via a media-based platform to intentionally confuse “original” content and appropriated material, My Work is Yours to Do What I Want playfully narrates the impulses and parasitic manipulations

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Predicting the French Stock Market Using Social Media Analysis

International Journal of Virtual Communities and Social Networking ◽

10.4018/ijvcsn.2015040104 ◽

2015 ◽

Vol 7 (2) ◽

pp. 70-84

Author(s):

Vincent Martin ◽

Emmanuel Bruno ◽

Elisabeth Murisasco

Keyword(s):

Neural Network ◽

Social Media ◽

Stock Market ◽

Sentiment Analysis ◽

Media Analysis ◽

Percentage Error ◽

Social Media Analysis ◽

Single Output ◽

The Neural Network ◽

Simple Neural Network

In this article, the authors try to predict the next-day CAC40 index. They apply the idea of Johan Bollen et al. from (Bollen, Mao, & Zeng, 2011) on the French stock market and they conduct their experiment using French tweets. Two analyses are applied on tweets: sentiment analysis and subjectivity analysis. Results of these analyses are then used to train a simple neural network. The input features are the sentiment, the subjectivity and the CAC40 closing value at day-1 and day-0. The single output value is the predicted CAC40 closing value at day+1. The authors propose an architecture using the JEE framework resulting in a better scalability and an easier industrialization. The main experiments are conducted over 5 months of data. The authors train their neural network on the first of the data and they test predictions on the remaining quarter. Their best run gives a direction accuracy of 80% and a mean absolute percentage error (MAPE) of 2.97%. In another experiment, the authors retrain the neural network each day which decreases the MAPE to 1.14%.

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Using the president’s tweets to understand political diversion in the age of social media

Nature Communications ◽

10.1038/s41467-020-19644-6 ◽

2020 ◽

Vol 11 (1) ◽

Author(s):

Stephan Lewandowsky ◽

Michael Jetter ◽

Ullrich K. H. Ecker

Keyword(s):

New York ◽

Social Media ◽

Agenda Setting ◽

Media Coverage ◽

New York Times ◽

Political Agenda ◽

Mainstream Media ◽

The Media ◽

Increased Activity

Abstract Social media has arguably shifted political agenda-setting power away from mainstream media onto politicians. Current U.S. President Trump’s reliance on Twitter is unprecedented, but the underlying implications for agenda setting are poorly understood. Using the president as a case study, we present evidence suggesting that President Trump’s use of Twitter diverts crucial media (The New York Times and ABC News) from topics that are potentially harmful to him. We find that increased media coverage of the Mueller investigation is immediately followed by Trump tweeting increasingly about unrelated issues. This increased activity, in turn, is followed by a reduction in coverage of the Mueller investigation—a finding that is consistent with the hypothesis that President Trump’s tweets may also successfully divert the media from topics that he considers threatening. The pattern is absent in placebo analyses involving Brexit coverage and several other topics that do not present a political risk to the president. Our results are robust to the inclusion of numerous control variables and examination of several alternative explanations, although the generality of the successful diversion must be established by further investigation.

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