Social Sciences
RITA (Resource for Italian Tests Assessment), is a new NLP dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level.
RITA dataset is available for automatic processing in CSV and XML format, under an agreement of citation.
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396 Views
To test the effectiveness of different ambiguity models in representing real decision-making under ambiguity, we ran an incentivized experiment of choice under ambiguity. The study involved 310 participants recruited using the online international labor market, Amazon Mechanical Turk (MTurk), to participate in an experimental study implemented on the survey platform, Qualtrics. Each of the 310 subjects made 150 preference choices between two options involving variations of the four ambiguity problems with varying levels of ambiguity and risk.
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160 Views
This dataset was created and utilized for preparing an article submitted to the IEEE Transactions on Evolutionary Computtations. Based on critical review and experiment, the article intends to shed some light on the way crossover-mutation intraction balannce in GA could be comprehended in the view tthat current literature is short of providing generalized rule that guides determination of tha balance of the two operators across domains of problems.
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51 Views
Individuals tend to overstate privacy concerns concerning their online behaviors; however, users share more personal data than they realize when accepting terms and conditions. This research explores how contextual integrity -understood as privacy attitudes- often defined as social norms over privacy in a particular context (Nissenbaum 2004)- can be further explored through vignettes in social research.
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16 Views
As the world has entered the ‘era of limits’, it is quintessential to prioritize and emphasize the importance of limits to growth. Principles of system thinking along with the system dynamics methodology help delve into the roots of complex system behavior to better predict them. A system is an interconnection of independent but inter-related parts where a positive change in one part of the system may prove to be calamitous for some other part and thereby for the system as a whole.
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59 Views
The datasets are all EXCEL files, and the datasets include daily stock price changes of three listed companies from 2021.1.4 to 2021.12.31 and Shanghai banking borrowing rates from 2021.2.2 to 2021.12.28. The three listed companies are Xiaomi Group, Zijin Mining and Fuwei Film and TV, which are representative in their respective fields. Since most of the numerical simulation parameters are directly given artificially in the existing studies, which is not convincing.
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37 Views
This data collection focuses on capturing user-generated content from the popular social network Reddit during the year 2023. This dataset comprises 29 user-friendly CSV files collected from Reddit, containing textual data associated with various emotions and related concepts.
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2029 Views
Goal
The goal of this project is to leverage Amazon Web Service's machine learning services to create a dataset that automatically adds and updates files on IEEE DataPort's S3 storage. Through this process, we sought to learn and demonstrate how an ongoing data collection script can create a shared living dataset by streaming data to our IEEE DataPort dataset storage. In the process, we also hoped to gain further insights into areas including:
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200 Views
The following dataset contains social network (Vkontakte) profile characteristics of 1358 Russian-speaking subjects and measured psychological traits, verbal and fluid intelligence. The user’s profiles, posts and reposts were processed, emotional coloring, sentiment, intent characteristics were extracted from them. Each participant answered BigFive inventory, Raven’s advanced progressive matrices, Verbal intelligence test.
The Big Five Inventory in Russian adaptation7 was used for measuring five main domains.
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464 Views
It is widely believed that political news is often slanted to suit news publishers' ideology. Politically slanted news can influence its readers to focus on different aspects of contentious social and political issues and hinder effective discussions. To identify political slants in news and their influence on readers, we analyze Election-related news and user response to the news on Twitter. We collect Election-related news from six mainstream US news publishers covering the 2020 US Presidential Elections. We compute news publishers' political slants based on the favorability of news towa
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124 Views