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Data Mining: How You’re Revealing More Than You Think
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Author: N/A; Publisher: SciShow; Publication Year: 2018. The following video describes how when many people hear the phrase “data mining,” they think that is great and it can be, but can also cause issues due to how powerful it is. This video discusses instances such as the Target algorithm that led a father to find…
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Social Media Research: A Guide to Ethics
lnbressa
Author: Leanne Townsend, Claire Wallace; Publisher: Economic and Social Research Council; Publication Year: N/A. The following guide discusses how social media has enabled researchers to quickly obtain information about people’s attitudes in weeks rather than the years it took previously. They discuss how this can be problematic using examples like marijuana legalization. If a Twitter…
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Mining Social Media Data: How are Research Sponsors and Researchers Addressing the Ethical Challenges?
2017, Code of Ethics, Communities of Practice, Education & Training, Notable People, Research Articlelnbressa
Author: Joanna Taylor, Claudia Pagliari; Publisher: SAGE Journals; Publication Year: 2017. The following article explores the ways data is being mined on social media platforms. Data representing people’s behavior, attitudes, feelings, and relationships are being mined from social media platforms and used for research. This can be ethically problematic, even when the data is in…
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AI & Bioterrorism: An Overview of the Ethical Risks Involved
lnbressa
Author: Tristesse Erasmus; Publisher: Stellenbosch University; Publication Year: 2021. The following article discusses how artificial intelligence (AI) is many times known as a dual-sided sword, sometimes being beneficial, and other times being catastrophic. As the use of AI increases, as well as the amount of biological data being collected increases, there is a major concern…
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Ethical Data Collection
lnbressa
Author: Crash Course; Publisher: ClassHook; Publication Year: N/A. The following video provides real-life examples from all different time periods and industries of unethical data collection, which is one of the largest pillars of data ethics. This covers data privacy, transparency, and consent problems both in theoretical and computational statistics (model building, data mining) and experimental…
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