Facebook has access to extensive data about its millions of users across the world, but what exactly can they learn from that information?
Hosted by: Hank Green ———- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ———- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, alexander wadsworth, سلطا الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Bader AlGhamdi, James Harshaw, Patrick D. Ashmore, Candy, Tim Curwick, charles george, Saul, Mark Terrio-Cameron, Viraansh Bhanushali, Kevin Bealer, Philippe von Bergen, Chris Peters, Justin Lentz ———- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ———- Sources: https://www.vox.com/policy-and-politics/2017/10/16/15657512/cambridge-analytica-facebook-alexander-nix-christopher-wylie https://www.vox.com/policy-and-politics/2018/3/21/17141428/cambridge-analytica-trump-russia-mueller http://www.pnas.org/content/110/15/5802 http://www.pnas.org/content/112/4/1036 https://www.demenzemedicinagenerale.net/pdf/2011%20-%20Predicting%20Personality%20from%20Twitter.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885844/ https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/ http://www.pnas.org/content/114/48/12714 http://www.pnas.org/content/111/24/8788 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142390 http://www.pnas.org/content/114/28/7313 https://www.ncbi.nlm.nih.gov/pubmed/26445854