Social Sciences
In recent years, many agent-based models of human groups have implemented a mechanism of emotion contagion, yet empirical validation is lagging behind. The aim of the present paper is to validate an agent-based model of emotion contagion at the level of group emotion, by comparing simulations against the emotional development of real people in small groups. To study the effect of emotion contagion, the participants interacted via a video call, where they were virtually placed in different social environments while they played a quiz.
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Several fields of study can benefit from a large, structured, and accurate dataset of historical figures. Due to a lack of such a dataset, in this paper, we aim to use machine learning and text mining models to collect, predict, and cleanse online data with a focus on age and gender. We developed a five-step method and inferred birth and death years, binary gender, and occupation from community-submitted data to all language versions of the Wikipedia project.
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・The first question (Q1) is to choose between the pedestrian-first setting and the driver-first setting of an autonomous car they are to drive.
・The second question (Q2) is to probe the aspect of the accident the participants focus on in the case of an unavoidable accident involving an autonomous car with a victim.
・The third question (Q3) was about the ideal car production for all groups, asking whether car companies should produce pedestrian- or driver-first-setting cars.
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The dataset shows the decisions of the participants in a dictator game split into two rounds. The participants faced an android as their opponent. Round 1 represents their decision in the game after they met the android and listened to its introductory speech. Round 2 is their decision in the game after having an interactive conversation with the android.
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Dataset for ICSE2023
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In the last few years, several organizations have manifested their concern over the increase in use of Hateful Speech or Hate Speech for short, this concept refers to forms of expression or audio-visual content that encourage discrimination or violence against individuals or groups solely based on their gender, sexual orientation, ethnicity, religion or nationality.
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The dataset includes the responses of the healthcare professionals towards the role of information technology in the healthcare centers. In addiition, the dataset provides the participants' perception on the recent technologies and its impact on the disease detection.
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This article was results based on the interview phase in the English language
course of even semester [the academic year 2021-2022] Institut Agama Kristen
Negeri Ambon. The majority concern is how the students of English courses respond
during even semester conducted. Moreover, only a few students are encouraged to
finish their course with moderate achievement, and half of the students are stated on
lower achievement following unconscious narration to be absent during English
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Normal
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21
false
false
false
EN-IN
X-NONE
X-NONE
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Lists of male and female names have been drawn up to determine the gender affiliation of the authors of scientific publications. Feminine Given Names and Masculine Given Names were taken from Wikipedia's free encyclopedia for the listing of the lists. These lists are supplemented by names specific to the research of countries. As a result, the list of male names contains 2515 records and a list of female names - 1461 records. The following was to check the lists for the coincidence of names. 218 names coincided withdrawn from both lists.
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