Machine Learning for Understanding the Relationship Between Political Participation and Political Culture

In The Civic Culture, perhaps the best known study of political culture, Almond and Verba say that ‘the relationship between political culture and political structure [is] one of the most significant researchable aspects of the problem of political stability and change’. I want to look at the way this relationship has been treated in one particular area, an area very relevant to questions of political stability and change in our own society; that is, in studies of political participation and apathy, especially research into the sense of political efficacy or competence. This is the area with which The Civic Culture itself is largely concerned, and it is now well established that individuals low in a sense of political efficacy tend to be apathetic about politics; indeed, Almond and Verba consider the sense of efficacy or competence to be a ‘key political attitude’.

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Perempuan dalam Kungkungan Budaya Politik Patriarkhis

MUWAZAH ◽

10.28918/muwazah.v10i2.1781 ◽

2018 ◽

Vol 10 (2) ◽

pp. 96

Author(s):

Nurbaity Prastyananda Yuwono

Keyword(s):

Political Participation ◽

Political Culture ◽

The Political ◽

Political Awareness ◽

Cultural Reconstruction ◽

Women's Participation ◽

The Government ◽

Gender Based ◽

Women's Networks ◽

Women's Political Participation

Women's political participation in Indonesia can be categorized as low, even though the government has provided special policies for women. Patriarchal political culture is a major obstacle in increasing women's political participation, because it builds perceptions that women are inappropriate, unsuitable and unfit to engage in the political domain. The notion that women are more appropriate in the domestic area; identified politics are masculine, so women are not suitable for acting in the political domain; Weak women and not having the ability to become leaders, are the result of the construction of a patriarchal political culture. Efforts must be doing to increase women's participation, i.e: women's political awareness, gender-based political education; building and strengthening relationships between women's networks and organizations; attract qualified women political party cadres; cultural reconstruction and reinterpretation of religious understanding that is gender biased; movement to change the organizational structure of political parties and; the implementation of legislation effectively.

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Delay Prediction of Aircrafts Based on Health Monitoring Data

International Journal of Business Analytics and Intelligence ◽

10.21863/ijbai/2016.4.1.015 ◽

2016 ◽

Vol 4 (1) ◽

Cited By ~ 1

Author(s):

B. A. Dattaram ◽

N. Madhusudanan

Keyword(s):

Machine Learning ◽

Health Monitoring ◽

Monitoring Data ◽

Machine Learning Techniques ◽

Learning Techniques ◽

Flight Delay ◽

Delay Prediction ◽

The Relationship

Flight delay is a major issue faced by airline companies. Delay in the aircraft take off can lead to penalty and extra payment to airport authorities leading to revenue loss. The causes for delays can be weather, traffic queues or component issues. In this paper, we focus on the problem of delays due to component issues in the aircraft. In particular, this paper explores the analysis of aircraft delays based on health monitoring data from the aircraft. This paper analyzes and establishes the relationship between health monitoring data and the delay of the aircrafts using exploratory analytics, stochastic approaches and machine learning techniques.

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Advances of ECG Sensors from Hardware, Software and Format Interoperability Perspectives

Electronics ◽

10.3390/electronics10020105 ◽

2021 ◽

Vol 10 (2) ◽

pp. 105

Author(s):

Khaleel Husain ◽

Mohd Soperi Mohd Zahid ◽

Shahab Ul Hassan ◽

Sumayyah Hasbullah ◽

Satria Mandala

Keyword(s):

Machine Learning ◽

Heart Attack ◽

Privacy Preservation ◽

Causes Of Death ◽

Clinical Settings ◽

Data Format ◽

Medical Institutions ◽

Comprehensive Survey ◽

Electrocardiogram Ecg ◽

The Relationship

It is well-known that cardiovascular disease is one of the major causes of death worldwide nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by cardiologists to diagnose and detect signs of heart disease with their patients. Since fast, prompt and accurate interpretation and decision is important in saving the life of patients from sudden heart attack or cardiac arrest, many innovations have been made to ECG sensors. However, the use of traditional ECG sensors is still prevalent in the clinical settings of many medical institutions. This article provides a comprehensive survey on ECG sensors from hardware, software and data format interoperability perspectives. The hardware perspective outlines a general hardware architecture of an ECG sensor along with the description of its hardware components. The software perspective describes various techniques (denoising, machine learning, deep learning, and privacy preservation) and other computer paradigms used in the software development and deployment for ECG sensors. Finally, the format interoperability perspective offers a detailed taxonomy of current ECG formats and the relationship among these formats. The intention is to help researchers towards the development of modern ECG sensors that are suitable and approved for adoption in real clinical settings.

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The relationship between trust in AI and trustworthy machine learning technologies

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency ◽

10.1145/3351095.3372834 ◽

2020 ◽

Cited By ~ 2

Author(s):

Ehsan Toreini ◽

Mhairi Aitken ◽

Kovila Coopamootoo ◽

Karen Elliott ◽

Carlos Gonzalez Zelaya ◽

...

Keyword(s):

Machine Learning ◽

Learning Technologies ◽

The Relationship

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Algorithmic and human prediction of success in human collaboration from visual features

Scientific Reports ◽

10.1038/s41598-021-81145-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Martin Saveski ◽

Edmond Awad ◽

Iyad Rahwan ◽

Manuel Cebrian

Keyword(s):

Machine Learning ◽

Visual Cues ◽

Success Factors ◽

Group Performance ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Adventure Game ◽

Group Success ◽

The Relationship ◽

Better Than

AbstractAs groups are increasingly taking over individual experts in many tasks, it is ever more important to understand the determinants of group success. In this paper, we study the patterns of group success in Escape The Room, a physical adventure game in which a group is tasked with escaping a maze by collectively solving a series of puzzles. We investigate (1) the characteristics of successful groups, and (2) how accurately humans and machines can spot them from a group photo. The relationship between these two questions is based on the hypothesis that the characteristics of successful groups are encoded by features that can be spotted in their photo. We analyze >43K group photos (one photo per group) taken after groups have completed the game—from which all explicit performance-signaling information has been removed. First, we find that groups that are larger, older and more gender but less age diverse are significantly more likely to escape. Second, we compare humans and off-the-shelf machine learning algorithms at predicting whether a group escaped or not based on the completion photo. We find that individual guesses by humans achieve 58.3% accuracy, better than random, but worse than machines which display 71.6% accuracy. When humans are trained to guess by observing only four labeled photos, their accuracy increases to 64%. However, training humans on more labeled examples (eight or twelve) leads to a slight, but statistically insignificant improvement in accuracy (67.4%). Humans in the best training condition perform on par with two, but worse than three out of the five machine learning algorithms we evaluated. Our work illustrates the potentials and the limitations of machine learning systems in evaluating group performance and identifying success factors based on sparse visual cues.

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MARGINALIZED YET MOBILIZED

Du Bois Review Social Science Research on Race ◽

10.1017/s1742058x19000031 ◽

2019 ◽

Vol 16 (1) ◽

pp. 131-156 ◽

Cited By ~ 1

Author(s):

Alecia J. McGregor ◽

Laura M. Bogart ◽

Molly Higgins-Biddle ◽

Dara Z. Strolovitch ◽

Bisola Ojikutu

Keyword(s):

Sexual Behavior ◽

Political Participation ◽

Original Data ◽

Preliminary Evidence ◽

Same Sex ◽

Electoral Outcomes ◽

Marginalized Groups ◽

Nationally Representative ◽

Lgbt People ◽

The Relationship

AbstractBoth African American and LGBT voters can prove pivotal in electoral outcomes, but we know little about civic participation among Black LGBT people. Although decades of research on political participation has made it almost an article of faith that members of dominant groups (such as White people and individuals of higher socioeconomic status) vote at higher rates than their less privileged counterparts, recent work has suggested that there are circumstances under which members of marginalized groups might participate at higher rates. Some of this research suggests that political participation might also increase when groups perceive elections as particularly threatening. We argue that when such threats are faced by marginalized groups, the concern to protect hard-earned rights can activate a sense of what we call “political hypervigilance,” and that such effects may be particularly pronounced among members of intersectionally-marginalized groups such as LGBT African Americans. To test this theory, we use original data from the 2016 National Survey on HIV in the Black Community, a nationally-representative survey of Black Americans, to explore the relationship among same-sex sexual behavior, attitudes toward LGBT people, and respondent voting intentions in the 2016 presidential election. We find that respondents who reported having engaged in same-sex sexual behavior were strongly and significantly more likely to say they “definitely will vote” compared to respondents who reported no same-sex sexual behavior. More favorable views of LGBT individuals and issues (marriage equality) were also associated with greater intention to vote. We argue that these high rates provide preliminary evidence that political hypervigilance can, in fact, lead to increased political engagement among members of marginalized groups.

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“Mind the gap”: to succeed in marketing politics, think of social media innovation

Journal of Consumer Marketing ◽

10.1108/jcm-10-2017-2409 ◽

2019 ◽

Vol 36 (6) ◽

pp. 806-817

Author(s):

Patrick Amfo Anim ◽

Frederick Okyere Asiedu ◽

Matilda Adams ◽

George Acheampong ◽

Ernestina Boakye

Keyword(s):

Social Media ◽

Factor Analysis ◽

Political Participation ◽

Political Efficacy ◽

Customer Relationship ◽

Political Marketing ◽

Content Type ◽

Young Voters ◽

Mediating Role ◽

The Relationship

Purpose This paper aims to explore the relationships between political marketing via social media and young voters’ political participation in Ghana. Additionally, this study examines the mediating role political efficacy plays in enhancing the relationship. Design/methodology/approach With a positivist mindset, and adopting the survey strategy, data gathered from the questionnaire administered from the sampled 320 young voters (18-29 years) in Greater Accra were quantitatively analyzed. An exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to assess and confirm the proposed scales validity and the relationships of the research model. Findings The study revealed that a political party or candidate’s ability to achieve political participation from Ghanaian young voters’ is dependent on how effective they build customer relationship or gaining visibility through social media. In addition, the study showed that political efficacy mediates the relationship between customer relationship building or gaining visibility through social media and political participation among Ghana young voters. Thus, young voters in Ghana must see themselves to have a say in the affairs of political parties through the political messages they gather from social media platforms to enhance their political participation activities. Practical implications The results of this paper will enable political marketers and politicians not only in Ghana but across the globe, to better understand how social media as a communication tool could be used to positively influence users’ political participation. Originality/value Considering the uniqueness of this study in a Ghanaian context, this paper is the first of its kind to use the social capital theory in examining the mediating role political efficacy plays in enhancing the relationship between political marketing on social media and young voters’ political participation.

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‘ARE YOU PLANTING TREES OR ARE YOU PLANTING PEOPLE?’ SQUATTER RESISTANCE AND INTERNATIONAL DEVELOPMENT IN THE MAKING OF A KENYAN POSTCOLONIAL POLITICAL ORDER (c. 1963–78)

The Journal of African History ◽

10.1017/s0021853714000668 ◽

2015 ◽

Vol 56 (1) ◽

pp. 99-118 ◽

Cited By ~ 4

Author(s):

KARA MOSKOWITZ

Keyword(s):

Political Culture ◽

International Development ◽

World Bank ◽

Development Program ◽

Political Authority ◽

Political Order ◽

The Political ◽

Development Projects ◽

Political Elites ◽

The Relationship

AbstractThis article examines squatter resistance to a World Bank-funded forest and paper factory project. The article illustrates how diverse actors came together at the sites of rural development projects in early postcolonial Kenya. It focuses on the relationship between the rural squatters who resisted the project and the political elites who intervened, particularly President Kenyatta. Together, these two groups not only negotiated the reformulation of a major international development program, but they also worked out broader questions about political authority and political culture. In negotiating development, rural actors and political elites decided how resources would be distributed and they entered into new patronage-based relationships, processes integral to the making of the postcolonial political order.

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Radical Political Unionism as a Strategy for Revitalization in Argentina

Latin American Perspectives ◽

10.1177/0094582x17736042 ◽

2017 ◽

Vol 45 (6) ◽

pp. 97-113

Author(s):

Lucila D’Urso ◽

Julieta Longo

Keyword(s):

Decision Making ◽

Political Culture ◽

Direct Action ◽

The State ◽

Social Organizations ◽

Toma De Decisiones ◽

Automotive Parts ◽

The Relationship

The grassroots union experiment undertaken at the Lear automotive parts factory in Argentina can be seen as a paradigmatic struggle for an understanding of the relationship between unionism and politics. The Lear case reveals that the distinctiveness of radical political unionism lies in the democratic elements of its decision making and its appeal to direct action, its construction of alliances with other social organizations, its linkage of economic demands with broader political objectives, its identification of the management, the state, and the union bureaucracy as adversaries, and its transmission of a leftist political culture. La experiencia sindical de la fábrica de autopartes Lear en Argentina puede ser analizada como un conflicto paradigmático para comprender la relación entre sindicalismo y política. El caso de Lear revela que el carácter distintivo del sindicalismo político radical se encuentra en los mecanismos democráticos de toma de decisiones y en la apelación a medidas de acción directa, la construcción de alianzas con otras organizaciones sociales, la vinculación de las demandas económicas con objetivos políticos más amplios, la identificación de la empresa, el Estado y la burocracia sindical como adversarios y la transmisión de una cultura política de izquierda.

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