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Social and Behavioral Sciences Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
College Students’ Perspectives Of Bias In Their News Consumption Habits, Jolie C. Matthews
College Students’ Perspectives Of Bias In Their News Consumption Habits, Jolie C. Matthews
Journal of Media Literacy Education
This article builds off prior work on news consumption habits and perception of bias in the news by focusing on college students’ self-generated definitions of bias, and the strategies they employ to guard against how their personal bias potentially affects what news they choose to believe and consume. Through interviews with undergraduate students, findings show that while participants acknowledged they had personal bias to a degree, the majority still defined bias as an external issue imposed on them by others than as an internal issue shaping their thoughts about the sources they consumed. Some students attempted to mitigate any perceived …
Help Or Hindrance: How Social Media Affects The Selection And Hiring Processes Of Businesses, Alexandra Krska
Help Or Hindrance: How Social Media Affects The Selection And Hiring Processes Of Businesses, Alexandra Krska
Management Undergraduate Honors Theses
Continually, young people have been advised to be conscientious of the imagery they put on social media regarding their personal lives in preparation for employment selection. However, the use of social media in the selection process may cause Human Resource professionals to have inadvertent biases toward candidates among other moral and ethical issues. Through extensive research of the thoughts and actions of a plethora of different corporate professionals, I will analyze whether using social media as a tool in the selection process authentically produces positive unbiased results, or whether social media poses more ethical issues. With the hopes to create …
Blind Spot: Implicit Bias In Health Care And Its Awareness Among Nursing Students At The University Of Southern Mississippi, Debora Skaliks
Blind Spot: Implicit Bias In Health Care And Its Awareness Among Nursing Students At The University Of Southern Mississippi, Debora Skaliks
Doctoral Projects
While prejudice and bias are eminent topics in our society, implicit bias or unconscious bias is not as easily detected. Even though implicit bias may be a familiar concept to many, numerous healthcare workers frequently do not recognize the extent of harm such biases can impose on patients' health and outcomes. The Blind Spot DNP project exposed in this research paper explores the relentless question of the correlation between implicit bias awareness, implicit bias education, and its impact on health care. This Doctor of Nursing Project (DNP) project aimed to analyze whether implicit bias education and testing could increase unconscious …
Diabetes-Related Bias In Electronic Health Records And International Classification Of Diseases., Mihail Zilbermint
Diabetes-Related Bias In Electronic Health Records And International Classification Of Diseases., Mihail Zilbermint
Journal of Community Hospital Internal Medicine Perspectives
Diabetes mellitus is a chronic health condition that affects the body's ability to convert food into energy. People living with diabetes, as well as doctors and hospitals, struggle to handle the challenge. Among these challenges is that the field of diabetology is filled with bias. People living with diabetes will say that “diabetes does not define them,” yet they often refer to themselves as “diabetics.” Doctors are frequently “trained” to call people “diabetics,” and I am one of them. Psychological consequences associated with diabetes and obesity bias and stigma have been previously reported studied. People with diabetes may experience stigma …
“Be A Pattern For The World”: The Development Of A Dark Patterns Detection Tool To Prevent Online User Loss, Jordan Donnelly, Alan Downley, Yunpeng Liu, Yufei Su, Quanwei Sun, Lan Zeng, Andrea Curley, Damian Gordon, Paul Kelly, Dympna O'Sullivan, Anna Becevel
“Be A Pattern For The World”: The Development Of A Dark Patterns Detection Tool To Prevent Online User Loss, Jordan Donnelly, Alan Downley, Yunpeng Liu, Yufei Su, Quanwei Sun, Lan Zeng, Andrea Curley, Damian Gordon, Paul Kelly, Dympna O'Sullivan, Anna Becevel
Articles
Dark Patterns are designed to trick users into sharing more information or spending more money than they had intended to do, by configuring online interactions to confuse or add pressure to the users. They are highly varied in their form, and are therefore difficult to classify and detect. Therefore, this research is designed to develop a framework for the automated detection of potential instances of web-based dark patterns, and from there to develop a software tool that will provide a highly useful defensive tool that helps detect and highlight these patterns.
Women Are More Likely To Use Tentative Language, I Think: A Literary And Statistical Analysis Of Ulysses By James Joyce And Debate Speech, Cozette Blumenfeld, Claire Bracken, Tomas Dvorak
Women Are More Likely To Use Tentative Language, I Think: A Literary And Statistical Analysis Of Ulysses By James Joyce And Debate Speech, Cozette Blumenfeld, Claire Bracken, Tomas Dvorak
Honors Theses
Language and its utilization can provide valuable information about individuals and their cultural norms. Negotiation is a major factor of the gender wage gap, perpetuated by gender bias. This paper seeks to discover—does language influence gendered cultural norms? Or reflect it? This thesis is divided into eight sections that engage the relationship between gender and language in literature and debate speech. Through critical literary and statistical analysis of the “Penelope” and “Proteus” chapters of Ulysses by James Joyce, it is evident that the female chapter’s invalidation found in literary criticism is from the reception of her speech, and not the …