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public perception and political decisions (e.g., through industry subsidies and grants) and should be reflected in political data sources. To investigate this hypothesis, we examine the AI trend ... propose a web mining approach to collect a novel data set consisting of business and political data sources combining 1.07 million articles and documents. We identify 246 AI-related buzzwords extracted from
positive cases and death rates between ethnic groups across the US and territories. The third hypothesis investigated if political party control and governmental policies affected the number of cases and ... , California, New Mexico, and the District of Columbia. The research findings also show that the rate of deaths and cases per ethnic group for policies and political factors were significant except for the mask
Ludwig von Mises’ economic philosophy. Rothbard held views far outside the accepted mainstream economics and he can be considered a radical heterodox political economist writing from a libertarian point of ... Austrian School of Economics and one of the major theoretical founder of libertarianism and anarcho-capitalism. Rothbard was a great adherent and supporter of Ludwig von Mises’ economic philosophy. Rothbard
conditions of varying sources providing belief-relevant information: a political leader (Trump/Biden), a health authority (Fauci/CDC), an anecdote (Democrat/Republican), a large group of prior participants ... was a generic group of people, irrespective of participants' political affiliation. We also found that while expert communications were most successful at increasing Democrats' vaccination intentions
accuracy by 33.34%, respectively. The purpose of this work is to explain our design philosophy and show that ensemble deep learning technologies can truly predict future stock price trends more effectively ... the quantity demanded decreases, the stock price probably would fall. Also people’s sentiment or belief plays a role in determining a stock price. Political situations or international affairs may also
. Retr. J . 20 ( 6 ), 606 - 634 ( 2017 ) 4. Binns , R.: Fairness in machine learning: lessons from political philosophy . CoRR arXiv:1712.03586 ( 2017 ) 5. Burke , R.: Multisided fairness for ... . International World Wide Web Conferences Steering Committee ( 2017 ) 21. Munson , S.A. , Resnick , P. : Presenting diverse political opinions: how and how much . In: Proceedings of the SIGCHI Conference on Human
thinking, research, innovation, or practice. These transformations may take place in AI/DS philosophy, thinking, goals, disciplines, paradigms, methodologies, technologies, or practices. AI/DS philosophical ... transformation pursues the transformation of the scientific philosophy. The philosophical transformations in AI/DS Drive new AI/DS thinking, goal, methodology, design, and development; Define basic concepts, such
thinking, research, innovation, or practice. These transformations may take place in AI/DS philosophy, thinking, goals, disciplines, paradigms, methodologies, technologies, or practices. AI/DS philosophical ... transformation pursues the transformation of the scientific philosophy. The philosophical transformations in AI/DS drive new AI/DS thinking, goal, methodology, design, and development; define basic concepts, such
be comparatively summarized [ 25 ]. Furthermore, the different opinions of several political parties can be summarized comparatively [ 6, 44 ]. Therefore, it is of great importance, in addition to ... differences between two political party programmes). Having this defined, we adopted a systematic literature research that uses the following logical expression as a means to obtain relevant literature to the
with classical accounts in the philosophy of science, verification has been based on the dictum that a statement is upheld by empirical observations [18, p. 121], and the observations are themselves ... philosophy and journalism had been critical of this due to potential epistemological bias [ 28,83 ]. This is especially pertinent for medical information, since public knowledge bases are known to be
capability limitations and gaps in understanding, quantifying, and managing the increasingly complex, uncertain, large-scale, and evolving natural, man-made, technological, and political crises and disasters ... , financial, political, national, security-related, safety-related, technological, machinery, AIDS-related, and health, medical, psychological, and mental health related emergencies, crises or disasters. Often
.: Fairness in machine learning: Lessons from political philosophy . In: Conference on Fairness, Accountability and Transparency , New York, NY, USA. pp. 149 - 159 ( 2018 ) 8. Bolukbasi , T. , Chang , K.W ... quantitative research especially in survey research [ 1 ]. King and colleagues show that approximately half of the respondents of political science surveys do not answer all of the questions [ 38 ]. Missing
fixed, deterministic, location. Recognizing the intricate interplay of political, social, and economic considerations in the process of fire station layout reconfiguration, we hope that this study may
Science (DS) SE, and Political Science (PS) SE, from their inception up until May 2021. The main reason we chose these datasets was that they represent distinct communities of users with different interests
how, why and where highly skilled individuals such as researchers move has attracted accelerating interest in recent decades due to the socio-political evolution, globalisation, and knowledge-based
of misinformation on society, as for the Brexit referendum when the massive diffusion of fake news has been considered one of the most relevant factors of the outcome of this political event. Examples ... political elections, natural and human-made disasters, popular national events, etc. [ 11 ]. This campaign can be carried out, specifying keywords, accounts, and geographical areas of interest. Nowcasting5
, spreads intentionally. Disinformation campaigns are often seen in a political context where state actors create them for political gains. In India, during the initial stage of COVID-19, there was reportedly ... media both business organizations and political parties have begun to share content that are ambiguous or fake to influence online users and their decisions for financial and political gains [ 9, 10
heavily recognized as having a significant impact on the reputation of political personas, parties and countries, on the results of various elections and referendums [ 1,2 ], and have sometimes ... from politics to health and from natural disasters to celebrity news. Fact-checking services focus mostly on verifying political claims and require costly human annotation. Automated detection systems
three features are political in nature, it is to be expected that they have less global appeal than the latter three which are health related. Among the US accounts, 11 out of 19 showed support for Trump ... political right. 3.2 Creation of the initial dataset We perform an extensive analysis of 5G- and COVID19-related Twitter data in order to better understand the misinformation event. Thus, the first step was
political authorities. All these developments are a fertile ground for conspiracy theories to thrive and disrupt the public discourse [ 4 ]. Public discourse University of Göttingen, Göttingen, Germany is ... a key component of the political decision-making process [ 24 ]. Conspiracy theories disrupt this process by misinforming public opinion [ 11 ]. Therefore, it is important for policy makers and
