Advances in Social Behavior Research
(ASBR) is an international
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December 6, 2021
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February 22, 2023, Good News! Welcome Dr. Nafhesa Ali from Northumbria University to give a speech at The 2nd International Conference on Interdisciplinary Humanities and Communication Studies (ICIHCS 2023)!
The International Conference on Social Psychology and Humanity Studies (ICSPHS 2023) will be held online on April 24, 2023.
February 21, 2023, Good News! Welcome Dr. Nafhesa Ali from Northumbria University to give a speech at The International Conference on Social Psychology and Humanity Studies (ICSPHS 2023)!
The 4th International Conference on Educational Innovation and Philosophical Inquiries (ICEIPI 2023) will be held on August 7, 2023.
November 30, 2022, Good News! The International Conference on Interdisciplinary Humanities and Communication Studies (ICIHCS 2022) will be held on December 18, 2022.
In recent years, some influential mainstream media and new media have launched “warm-story” programme, which is favored by the masses of the people. However, there are many problems with the spread of warm stories, such as clickbait, superficial content, fake news, and the vague concept of rules of law. How to overcome these problems, how to write warm stories so that they can spread legally, how to develop warm stories in the future, and how to conduct legal communication with warm stories are all critical issues that must be addressed right now. This paper looks at what warm-story is, how it works, and what it says. It also talks about how warm-story is used in legal communication and what strategies can be used.
At present, with the rapid development of science and technology in China and the continuous strengthening of international strategic cooperation, the number of undergraduate students from abroad is increasing year by year. It is increasingly important to carry out curriculum ideological and political education for foreign students and cultivate all-around friendly and patriotic foreign students. Taking engineering mechanics as an example, this paper explores the methods and means of organically integrating curriculum ideological and political education into the course in the process of engineering teaching. This paper analyzes in detail the role of teaching method design, teaching technology innovation, and ideological and political scheme selection in the curriculum ideological and political education of foreign students. This paper demonstrates the organic combination of engineering teaching and foreign students' ideological and political education and explores new methods of curriculum ideological and political education for foreign students in the future.
The Hispanic vote in America has traditionally leaned more Democrat in the United States. Appealing to the Hispanic vote as a political tactic has been popular ever since Kennedy’s “Viva Kennedy” campaign to reach out to Mexican Americans, which formed a large part of his victory. This trend will only continue as Hispanic-Americans are the fastestgrowing demographic in America. This paper analyzes the influence of four factors on Hispanic voting in the United States to try and create hypotheses to predict on what considerations must be made when predicting the Hispanic vote.
Algorithmic discrimination is a kind of unreasonable, unequal treatment based on algorithms, which is widely existing in all areas of our social and economic life. Compared with traditional discrimination, algorithmic discrimination is inherent, professional and concealed. In practice, both market forces and government regulation have certain limitations in regulating algorithmic discrimination. On the one hand, enterprise autonomy often fails due to benefit considerations, while industry self-discipline lacks a set of mature and effective rules. On the other hand, in addition to the lack of complete algorithm review mechanisms and accountability systems, government supervision is also limited by technical regulatory difficulties. Therefore, it is necessary to further improve the legislation of algorithmic discrimination, set up algorithm review institutions, establish algorithm review mechanisms and strengthen industry and enterprise self-discipline.