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Everything You Need to Know About Facebook’s Controversial Emotion Experiment
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Author: Michelle N. Meyer; Publisher: Wired; Publication Year: 2014. The following article describes how for one week in 2012, Facebook data scientists tested the effect of making News Feeds both more positive and less positive. Although the statistically significant findings were of small order, they could matter given the number of daily active users on…
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How Data Brokers Sold My Identity
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Author: Madhumita Murgia; Publisher: TED; Publication Year: 2017. In the following talk, Madhumita discusses how data privacy is still a huge issue. Even though data is anonymized there are still key identifying information such as gender, zip code, etc. that can narrow down the potential people it could be. When this data is shared and…
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The Ethics of Using Social Media Data in Research: A New Framework
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Author: Leanne Townsend, Claire Wallace; Publisher: Emerald Insight; Publication Year: 2017. The following book chapter talks about how over the past decade, the number of people engaging with social media has grown rapidly. This means that social media platforms such as Twitter and Facebook are potentially good sources of rich, naturally occurring data. As a…
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WiDS podcast Episode 28, Karen Hao, Covering AI and Ethics Washing in the Tech Industry
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Author: Margo Gerritsen, Karen Hao; Publisher: Women in Data Science Podcast; Publication Year: N/A. In the following podcast episode, the focus is on Karen Hao who wrote an influential article in MIT Technology Review describing ethical tensions at Facebook. In this segment of the interview, Karen describes the conflict between Facebook’s need to grow and…
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Facebook’s Ad-Serving Algorithm Discriminates by Gender and Race
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Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article describes how people may have seen personalized Facebook advertisements on their feed. As it turns out, that algorithm, based on machine learning, is discriminatory. It locates patterns within data and re-applies them to make decisions, allowing bias to enter the equation. This…
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The Great Hack
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Author: Jehane Noujaim; Publisher: Netflix; Publication Year: 2019. The following documentary shows in detail how a company called Cambridge Analytics in the United Kingdom collaborated with Facebook’s Mark Zuckerburg and how they influenced the entire election of Trump in 2016. Later Facebook had to face a number of law suits in the United States of…
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Facebook Knows Instagram Is Toxic for Teen Girls, Company Documents Show
Author: Georgia Wells, Jeff Horwitz, Deepa Seetharaman; Publisher: The Wall Street Journal; Publication Year: N/A. The following article discusses how internal reports at Facebook found that Instagram presented real harm to teenage girls. About 1/3 of teen girls reported that when they felt insecure about their bodies, Instagram only made them feel worse. The findings…
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What Responsibilities Does Facebook Have With Our Private Data?
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Author: Elisa Celis; Publisher: Data Science Ethics; Publication Year: 2019. The following article discusses how Facebook is currently the largest social media platform and stores enormous amounts of data. Facebook has data from a user’s profile, their messages (public and private), who they interact with, what posts they like and news sources they read, and…
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The Great Hack on Netflix: Ethics of Data Use
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Author: Dan Wardrope; Publisher: Flexxable; Publication Year: N/A. The following article reviews people’s reactions to The Great Hack on Netflix. The Great Hack exposes the wrong-doing of mass data exploitation during the Cambridge Analytica scandal. In early 2018, it was learned that the analytics giant, Cambridge Analytica, collected millions of people’s data from Facebook accounts…
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17 Tech Companies That Lobby the Government Most
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Author: N/A; Publisher: Business Insider India; Publication Year: 2016. The following article lists down the total amount of money being spent by big tech corporations such as Google, Facebook, Amazon and others. It shows they spend from $430,000 to about 1.1 million dollars every year in order to influence IT rules. All of this is…
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