AIMC Topic: Politics

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Can biased search results change people's opinions about anything at all? a close replication of the Search Engine Manipulation Effect (SEME).

PloS one Mar 26, 2024
In previous experiments we have conducted on the Search Engine Manipulation Effect (SEME), we have focused on the ability of biased search results to shift voting preferences. In three new experiments with a total of 1,137 US residents (mean age = 33...
Humans Artificial Intelligence Adult Politics Attitude Voting Search Engine
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Who are the publics engaging in AI?

Public understanding of science (Bristol, England) Jan 28, 2024
Given the importance of public engagement in governments' adoption of artificial intelligence systems, artificial intelligence researchers and practitioners spend little time reflecting on who those publics are. Classifying publics affects assumption...
Community Participation Humans Artificial Intelligence Public Opinion Politics
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Donor activity is associated with US legislators' attention to political issues.

PloS one Sep 20, 2023
Campaign contributions are a staple of congressional life. Yet, the search for tangible effects of congressional donations often focuses on the association between contributions and votes on congressional bills. We present an alternative approach by ...
Humans Politics Tissue Donors Metadata Machine Learning Policy
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A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification.

Sensors (Basel, Switzerland) Oct 16, 2022
Manual or traditional industrial product inspection and defect-recognition models have some limitations, including process complexity, time-consuming, error-prone, and expensiveness. These issues negatively impact the quality control processes. There...
Records Artifacts Politics Policy Deep Learning
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Beliefs and Practice Evaluation Based on Artificial Intelligence Models under the IP Environment.

Journal of environmental and public health Sep 27, 2022
The digitization of thought theory is not yet sufficient to meet the needs of the students. It is very necessary to strengthen the construction of ideological and political (IP) courses, strengthen the education of mainstream ideology, and occupy the...
Students Politics Humans Artificial Intelligence
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Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.

Computational intelligence and neuroscience May 4, 2022
The study aims to explore the online teaching design of ideological and political education (IPE). Based on the relevant theories of deep learning (DL) and visual sensing, the students of a Chinese University are taken as the research samples and inv...
Curriculum Politics Humans Technology Deep Learning Universities
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Conservatism predicts aversion to consequential Artificial Intelligence.

PloS one Dec 20, 2021
Artificial intelligence (AI) has the potential to revolutionize society by automating tasks as diverse as driving cars, diagnosing diseases, and providing legal advice. The degree to which AI can improve outcomes in these and other domains depends on...
Educational Status Adult Artificial Intelligence Female Risk Politics Male Trust Humans Attitude to Computers
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Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0.

Sensors (Basel, Switzerland) Nov 10, 2021
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge Information and Communication Technologies in existing operations. Various cyber threats related to the aforementioned integration have attracted increasing inter...
Machine Learning Algorithms Cluster Analysis Agriculture Politics
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A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis.

Journal of medical Internet research Jan 6, 2021
BACKGROUND: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare...
COVID-19 SARS-CoV-2 Health Communication Cluster Analysis Machine Learning Pandemics Humans Workflow Politics Health Policy Social Media
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GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms.

BMC bioinformatics Nov 18, 2020
BACKGROUND: Biological data has grown explosively with the advance of next-generation sequencing. However, annotating protein function with wet lab experiments is time-consuming. Fortunately, computational function prediction can help wet labs formul...
Drosophila melanogaster Computational Biology Politics Proteins Gene Ontology Algorithms Animals
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