scholarly journals On Simulating the Propagation and Countermeasures of Hate Speech in Social Networks

2021 ◽  
Vol 11 (24) ◽  
pp. 12003
Author(s):  
Maite Lopez-Sanchez ◽  
Arthur Müller

Hate speech expresses prejudice and discrimination based on actual or perceived innate characteristics such as gender, race, religion, ethnicity, colour, national origin, disability or sexual orientation. Research has proven that the amount of hateful messages increases inevitably on online social media. Although hate propagators constitute a tiny minority—with less than 1% participants—they create an unproportionally high amount of hate motivated content. Thus, if not countered properly, hate speech can propagate through the whole society. In this paper we apply agent-based modelling to reproduce how the hate speech phenomenon spreads within social networks. We reuse insights from the research literature to construct and validate a baseline model for the propagation of hate speech. From this, three countermeasures are modelled and simulated to investigate their effectiveness in containing the spread of hatred: Education, deferring hateful content, and cyber activism. Our simulations suggest that: (1) Education consititutes a very successful countermeasure, but it is long term and still cannot eliminate hatred completely; (2) Deferring hateful content has a similar—although lower—positive effect than education, and it has the advantage of being a short-term countermeasure; (3) In our simulations, extreme cyber activism against hatred shows the poorest performance as a countermeasure, since it seems to increase the likelihood of resulting in highly polarised societies.

2021 ◽  
Author(s):  
Arthur Müller ◽  
Maite Lopez-Sanchez

Hate speech expresses prejudice and discrimination based on personal characteristics such as race or gender. Research has proven that the amount of hateful messages increases on online social media. If not countered properly, the spread of hatred can overwhelm entire societies. This paper proposes a multi-agent model of the spread of hatred. We reuse insights from previous research to construct and validate a baseline model. From this, three countermeasures are modelled and simulated to investigate their effectiveness in containing the spread of hatred: (1) The long-term measure of education is very successful, but it still cannot eliminate hatred completely; (2) Deferring hateful content has a similar positive effect with the advantage of being a short-term countermeasure; (3) Extreme cyber activism against hatred can worsen the situation and even increase the likelihood of high polarisation within societies.


2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Safriwan Safriwan ◽  
Idris Idris

Abstract : The study describes the effects on globalization population density andeconomic growth on environmental degradation in Indonesia. This research uses a timeseries data from year 1971 - 2017, with method Error Correction Model (ECM). Datasources from Global Carbon Project, KOF Swiss Economic Institute, and WorldBank. Research result explain that (1) Globalization in long term has a insignificantpositive effect on environmental degradation in Indonesia, but short term globalizationhas a insignificant negative effect on environmental degradation in Indonesia (2)Population density in long term has a significant positive , and short term has ainsignificant positive effect on environmental degradation in Indonesia (3) Economicgrowth in long and short term has a significant positive effect on environmentaldegradation in Indonesia.Keywords : Environmental Degradation, Globalization Population Density AndEconomic Growth.


2021 ◽  
Vol 4 (1) ◽  
pp. 406-414
Author(s):  
Amir Hamzah

The purpose of this research is to analyze the short term and long term relationship between ROI, EPS, PER ,inflation, SBI, exchange rate,and GDP on Stock Price. The data in this research is company financial statements which included Compas 100 Index on the Indonesia Stock Exchange. statistical analysis in this research used stasionarity test, The Classical Assumptions Test, Cointegration Test, Error Correction Model Test. This research found that partially ROI, EPS, PER variables a positive effect on stock prices in the short term and long term, KURS and SBI a positive effect on stock prices in the short term, but there is no effect in the long term, inflation and GDP do not affect the stock price both in the short term and long term. Simultaneously affected the stock prices significantly affect on stock price both in the short term and long term.


2020 ◽  
Vol 12 (15) ◽  
pp. 6155
Author(s):  
Jiajia Hao ◽  
Chunling Li ◽  
Runsen Yuan ◽  
Masood Ahmed ◽  
Muhammad Asif Khan ◽  
...  

The purpose of innovation is to consume fewer natural resources in order to create sustainable performance; therefore, innovation can ease the pressure of the ecological load and promote the sustainable development of the economy. Taking the 269 enterprises listed on the main board of the electronic information industry from 2010 to 2019 as samples, using the threshold panel data model, the nonlinear relationship between the knowledge-based network structure hole and the short-term and long-term innovation performance of the enterprises were studied, and the threshold effect of R&D investment intensity was discussed. When the R&D investment intensity is from 1.96% to 15.96%, the knowledge-based network structure hole has a significant positive impact on short-term innovation performance. When the R&D investment intensity is from 5.72% to 10.64%, the knowledge-based network structure hole has a significant positive effect on long-term innovation performance. Lower R&D investment intensity can make the knowledge-based network structure hole promote the increase of short term innovation performance, but to make the knowledge-based network structure hole have a positive impact on long term innovation performance, the R&D investment intensity should be increased by more than 5.72%. When R&D investment intensity is not higher than 15.96%, the knowledge-based network structure hole has a significant positive impact on short term innovation performance, but to make the knowledge-based network structure hole maintain the positive effect on long term innovation performance, R&D investment intensity should not exceed 10.64%. Therefore, enterprises should be guided to optimize the knowledge-based network structure according to the R&D investment intensity in order to improve the short term and long-term innovation performance of an enterprise. These research results can help enterprises to save resources and promote the sustainable development of the economy.


2012 ◽  
Vol 2 (3) ◽  
pp. 210-224 ◽  
Author(s):  
Tor Brunzell ◽  
Sten Söderman

PurposeThe purpose of this paper is to study if and how the evaluation of the boards in the top Nordic male football clubs affects the boards’ composition and work.Design/methodology/approachThe study includes all the clubs in the two top divisions in each of the five Nordic countries (Denmark, Finland, Iceland, Norway and Sweden). The study makes use of a questionnaire where 66 (out of 145) chairmen answer 17 questions concerning the board composition and work on a five‐point Likert‐scale.FindingsThe responses were related to whether the board is annually evaluated or not. Descriptive statistics demonstrates that more than half of the clubs have an annual board evaluation. Most common is that the Chairman performs the evaluation himself/herself with help from designated board members; the evaluation being performed through informal discussions. A total of 44 clubs have a nominee committee. Almost all of the clubs transfer the result of the board evaluation to its nominee committee, most commonly verbally. Furthermore, results show that board evaluation has a significant positive effect on the following functions of football boards: review of business plan, strategy, objective and budget; discussion on short‐term development; discussion on long‐term development; and work efficiency.Originality/valueThe results of this study are consistent with a similar study of listed Nordic companies. The main difference between the results of the two studies is that clubs, unlike publicly listed companies, almost always perform the evaluation through internal interviews rarely using external consultants and individual anonymous questionnaires.


2021 ◽  
pp. 48-54
Author(s):  
Neva Sunba Dena ◽  
◽  
Suhel Suhel ◽  
Imam Asngari ◽  
◽  
...  

Indonesia has a significant and growing shortfall of housing. Existing supply is in poor condition and demand is rising for new units. Meanwhile, people's purchasing power to buy a house is still relatively low. Government overcomes added stock housing availability by collaborating with private developers to help meet the demand for housing needs. Islamic banks can provide funds to buy houses for the community. This study analyzes the effect of third-party fund (TPF), margin of homeownership financing (PPR), inflation, and household income on Islamic financing for homeownership. The analytical model used in this research is the ordinary least square with the Error Correction Model (ECM) method. The Ordinary Least Square (OLS) method in this study is used to see the relationship between the short-term and long-term effects of the independent variables on the dependent variable. The analytical tool used in this research is Econometric Views (EViews 10 Standard Edition for Windows). The study results show that in the short term, the TPF, PPR margin, inflation, and household income variables have a significant positive effect on homeownership financing in Islamic banks in Indonesia. The long term TPF, inflation, and household income variables have a significant positive effect on homeownership financing in Islamic banks in Indonesia, but the variable of PPR margin has a significant negative impact on sharia financing for homeownership.


2021 ◽  
Vol 2 (2) ◽  
pp. 88-99
Author(s):  
Feby Kinanda

This study aims to analyze the effect of macroeconomic variables including the open unemployment rate, trade balance, inflation rate and the rupiah exchange rate against the dollar on Indonesian economic growth by using the ECM error correction model approach to see the long-term and short-term relationships that influence macro variables on economic growth. , in the long term the open unemployment rate variable, the trade balance, the inflation rate have a negative effect while the exchange rate has a positive effect, while in the short term the open unemployment rate, the inflation rate and the exchange rate have a negative effect while the trade balance has a positive effect.   Keywords: Economic Growth, Open Unemployment Rate, Trade Balance, Inflation, Exchange Rate


2018 ◽  
Vol 7 (2) ◽  
pp. 1-6
Author(s):  
Atif Ghayas ◽  
Javaid Akhter

This study aims to empirically examine and analyze the impact of capital structure decision on the firm’s profitability by using a sample of 35 Indian pharmaceutical companies listed on Bombay Stock Exchange (BSE) during the period of 5 years from 2012 to 2016. Regression Analysis is used to measure the extent and nature of the relationship. Capital structure variables used in the study are ratio of long-term debt to total assets (LDA), ratio of short-term debt to total assets (SDA) and ratio of Total debt to total assets (DA) while profitability has been measure by Return on Equity (ROE). Firms Size (SIZE)and Salesgrowth(GROW) are also used as control variables. Results reveal a positive effect of SDA and DA on ROE, while a weak-to-no effect was found of LDA on ROE.


Author(s):  
Heni Swastika ◽  
Titik Aryati

<p class="Style1"><em>This Thesis is done in order to give empirical prove about Corporate Social </em><em>Responsibily (CSR) related to Company Financial Performance (productivity and value </em><em>of a company). In this Thesis, company's performance devided in short term </em><em>performance and long term performance. Company's short term performance is company's productivy based on Asset Turnover (ATO), while Company's long term </em><em>pe</em><em>4</em><em>formance </em><em>is company's value </em><em>based on Price to Book Value (PBV). Corporate Social Reponsibility (CSR) performance is measured with Sustainability Report Disclosure Index (SRDI). Population used in this thesis is the company that have been registered in Bursa Efek Indonesia (BEI) in a certain period between 2012 until 2014. Total sample for this Thesis are 31 Banking company which is chosen using purposive sampling method. The data for this thesis is analyzed using classical assumption test and hypothesis test using Doubled Linear Regression. This research proves that Corporate Social Responsibility (CSR) brings positive effect related to Productivity of a Company and Value of a Company.</em></p>


2019 ◽  
Vol 1 (1) ◽  
pp. 55-66
Author(s):  
Irene Rini Demi Pangestuti ◽  
Dinar Nur Septiyanto

Purpose- The study was conducted to examine the effect of capital structure on profitability. Variables of the capital structure are Long-term Debt to total assets (LTD), Short-term Debt to total assets (STD) and Debt to Equity Ratio (DER) while profitability is proxied by Return on Assets (ROA. Research is conducted on all Non-Financial companies listed on the Indonesia Stock Exchange (IDX) in the period 2014-2016. Methods- Use the Purposive Random Sampling technique to take samples. Samples taken from Bloomberg. The sample used amounted to 175 companies using multiple regression analysis SPSS program assistance. Finding- The results of the study note that LTD and STD have a significant negative effect on ROA. DER has not a significant positive effect on ROA.


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