• Ei tuloksia

USING ARTIFICIAL INTELLIGENCE TO MANIPULATE PEOPLE ON SOCIAL MEDIA

4. COUNTER-MEASURES

5.2 Worst case: Social media is used to control people

Social media has grown to be important aspect of our day-to-day life without us noticing it. This combined with the advancement of technology has made all these manipulation methods extremely effective. Efforts done for improving internet user's media literacy was out-paced by improvement of manipulation methods by capital corporations and po-litical organizations. At first laws were made to prevent manipulation, but eventually lob-byist and unstable political landscape forced politicians to use these methods instead of trying to stop them.

Manipulation was first only used to small and specific things. Like effecting what brand of cereal, we want for breakfast. Then for “small ethical” goals, like manipulating us to stop smoking and guiding us towards more ecological transportation habits. But slowly these turned into greater and greater effects. After a while all out opinions were formed through intentional manipulation.

Globalization of internet had to be reversed. After a few countries had been driven into civil war through manipulating citizens in social media, governments started to censor the internet connections crossing the national borders. In addition to preventing outside manipulation, it also gave full control to the own government and corporations working with them. Since this also limited access to foreign social media platforms, had countries themselves develop new state-run alternatives, which further enabled them to control all content shown.

Illusion of free will still exists. When you are not directly told what to do, but just manip-ulated to make that choice “yourself”, you don’t just fall in line, you stay happy while doing it. All information you see is selectively chosen, all controversial posts are flagged by AI and lot less likely to show up on anyone's feed. When needed you are shown only people with specific opinion about given agenda, even though you are not even looking for anything related. If these types of people do not exist, you are shown fake people who appear identical to other users. Authority of the state is abused to the extreme. And vari-ous psychological methods are used to ensure that your trust for their authority does not falter.

The above example strongly relates to legitimate fear, shown also through Cyberpunk type of science fiction. Cyberpunk focuses on high-tech future and blurred lines between reality and virtual spaces (Albright, 2016), which relates to the illusion of free will. If traditional governments fail to do their job, technological companies could indeed be the new norm, leading us in the absence of traditional forms of governance. In the worst case, technological innovations do not lead to exceptional advancements in society and quality of living, but diminishes our freedom to the minimum. If technology overpowers our ability to acknowledge our behavioral limitations, there is little technology cannot make us do.

6. REFERENCES

Albright, D. (2016). What Is Cyberpunk? An Introduction to the Sci-Fi Genre. [online]

MakeUseOf, available: https://www.makeuseof.com/tag/cyberpunk-introduction-sci-fi-genre/ [Accessed 6 Mar. 2019].

AdBlock. (n.d.). Available: https://chrome.google.com/webstore/detail/ad-block/gighmmpiobklfepjocnamgkkbiglidom

Alton, L. (2017). “The undeniable power of human emotions in marketing”. Cio, availa-ble: https://libproxy.tuni.fi/login?url=https://search-proquest-com.lib-proxy.tuni.fi/docview/1882371935?accountid=14242

Anand, A. (2019). Biases are creeping into the Internet’s AI systems. [online]

https://www.hindustantimes.com/. Available at: https://www.hindustantimes.com/analy-

sis/biases-are-creeping-into-the-internet-s-ai-systems/story-0SLAl7llpg2vPK8FsO9hwI.html [Accessed 21 Mar. 2019].

Artificial intelligence in advertising: Protecting consumers (2018), available:

https://phrasee.co/artificial-intelligence-in-advertising-protecting-consumers/

Ayres, S. (n.d.). The Facebook Algorithm Changes, AGAIN!.. Here's the Scoop. [online]

Postplanner.com. Available at: https://www.postplanner.com/the-facebook-algorithm-changes-again/ [Accessed 21 Mar. 2019].

Barnhart, B. (2018). 9 Effective Ways to Outsmart the Facebook Algorithm in 2018.

[online] Sprout Social, available: https://sproutsocial.com/insights/facebook-algorithm/

[Accessed 3 Mar. 2019].

Begg, R. (2017). “How AI and image recognition are transforming social media market-ing”, Martech, available: https://martechtoday.com/ai-image-recognition-transforming-social-media-marketing-202838

Benjamin, G. (2019). Deepfake videos could destroy trust in society – here’s how to re-store it. The Conversation. Available at: https://theconversation.com/deepfake-videos-could-destroy-trust-in-society-heres-how-to-restore-it-110999 [Accessed 8 Mar. 2019].

Bruell, A. (2018). “Are Advertisers Driving App Addiction?”, The Wall Street Journal, available: https://www.wsj.com/articles/are-advertisers-driving-app-addiction-1529419516

Chesney, R., & Citron, D. K. (2018). “Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security”. Available at: https://papers.ssrn.com/sol3/pa-pers.cfm?abstract_id=3213954. [Accessed 8 Mar. 2019].

Dredge, S. (2014). How does Facebook decide what to show in my news feed?. [online]

the Guardian, available: https://www.theguardian.com/technology/2014/jun/30/face-book-news-feed-filters-emotion-study [Accessed 4 Mar. 2019].

Fuentes, S. (2018). Why Social Media Deserves To Be Recognized On A Global Scale.

Available: https://www.imagineitstudios.com/social-media-marketing/social-media-day/

Garrett, R. (2009). Echo chambers online?: Politically motivated selective exposure among Internet news users. Journal of Computer-Mediated Communication, 14(2), pp.265-285.

Global digital population 2019 Statistic. (n.d.). available: https://www.statista.com/statis-tics/617136/digital-population-worldwide/

Global social media ranking 2018 Statistic. (n.d.). available: https://www.sta-tista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

Guera, D. & Delp, E. (2018). Deepfake Video Detection Using Recurrent Neural Net-works. 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Haran, S. (2017). Selective Exposure In The Era Of Social Media: What Is It And Why Does It Matter?. [online] The Odyssey Online. Available at: https://www.theodys-seyonline.com/selective-exposure-the-age-social-media-what-and-why-does-matter [Ac-cessed 4 Mar. 2019].

Inglis, J. (2018). Remember, you're being manipulated on social media: 4 essential reads.

Available: http://theconversation.com/remember-youre-being-manipulated-on-social-media-4-essential-reads-106742

Martin, N. (2018). “How AI Is Revolutionizing Digital Marketing”, Forbes, available:

https://www.forbes.com/sites/nicolemartin1/2018/11/12/how-ai-is-revolutionizing-digi-tal-marketing/#e7e9bd61f624 [Accessed 5 Mar. 2019]

Martines, A. (2018). The Blockchain Solution to Our Deepfake Problems. Wired Maga-zine. Available at: https://www.wired.com/story/the-blockchain-solution-to-our-deep-fake-problems/. [Accessed 8 Mar. 2019].

Messing, S. and Westwood, S. (2012). Selective Exposure in the Age of Social Media.

Communication Research, 41(8), pp.1042-1063.

Jacob, R. (2018). “AI Is About to Make Video Ads a Lot Less Annoying”, Fortune, avail-able: http://fortune.com/2018/06/26/artificial-intelligence-video-ads-augmented-reality/

[Accessed 4 Mar. 2019]

Kaput, M. (2017). How Facebook Uses Artificial Intelligence and What It Means for Marketers. [online] Marketingaiinstitute.com. Available at: https://www.marketingai- institute.com/blog/how-facebook-uses-artificial-intelligence-and-what-it-means-for-marketers [Accessed 21 Mar. 2019].

Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... & Schudson, M. (2018). The science of fake news. Science, 359(6380), 1094-1096.

Lemieux, P. (2003). Following the herd. Regulation, 26, 16.

Liu, S.H., Chou, C.H., & Liao H.L. (2015). “An exploratory study of product placement in social media”, Internet Research, 25(2), 300-316.

McKelvey, F., & Dubois, E. (2017). Computational propaganda in Canada: The use of political bots. The Computational Propaganda Project Working Paper Series.

Mind Matters. (2018). AI Social Media Could Totally Manipulate You. Available:

https://mindmatters.ai/2018/11/ai-social-media-could-totally-manipulate-you/

Pierson, M. (2018). How Technology Is Changing The Future Of Social Media. Availa-ble: http://www.bitrebels.com/social/technology-changing-future-social-media/

Product Placement: Why It Matters and How to Get It. (n.d.). Available: https://us.ac-cion.org/resource/product-placement-why-it-matters-and-how-get-it/

Raafat, R. M., Chater, N., & Frith, C. (2009). Herding in humans. Trends in cognitive sciences, 13(10), 420-428.

RoBhat labs, (2017), https://medium.com/@robhat/identifying-propaganda-bots-on-twit-ter-5240e7cb81a9 [Accessed 3 Mar. 2019]

Sas.com. (n.d.). What is Big Data and why it matters. [online] Available at:

https://www.sas.com/en_us/insights/big-data/what-is-big-data.html [Accessed 21 Mar.

2019].

Schaap, J. (2016). “How Social Media is Changing the Landscape for Millennials”, Crow-dynews, available: https://www.crowdynews.com/blog/how-social-media-is-changing-the-landscape-for-millennials/ [Accessed 3 Mar. 2019]

The Nation. (2012). “Social Media now a Part of Everyday Life”, available:

http://www.nationmultimedia.com/technology/SOCIAL-MEDIA-NOW-A-PART-OF-EVERYDAY-LIFE-30174386.html

Singh, P. (2018). AI Capabilities in Image Recognition. Available: https://towardsdata-science.com/ai-capabilities-in-image-recognition-7d79aec5222f

Stout, D. W. (2019). Social Media Statistics 2019: Top Networks by the Numbers. Avail-able: https://dustn.tv/social-media-statistics/

Stroud, N. (2014). Selective Exposure Theories. Oxford Handbooks Online. [online]

Available at: http://www.oxfordhandbooks.com/view/10.1093/ox-

fordhb/9780199793471.001.0001/oxfordhb-9780199793471-e-009#oxfordhb-9780199793471-e-009-bibItem-58 [Accessed 3 Mar. 2019].

Van den Oord, A., Dieleman, S. and Zen, H. (2016). WaveNet: A Generative Model for Raw Audio. [online] DeepMind. Available at: https://deepmind.com/blog/wavenet-gen-erative-model-raw-audio/. [Accessed 8 Mar. 2019].

Watts, C. (2018). Artificial intelligence is transforming social media. Can American de-mocracy survive?. [online] Washington Post. Available at: https://www.washing- tonpost.com/news/democracy-post/wp/2018/09/05/artificial-intelligence-is-transform-

ing-social-media-can-american-democracy-survive/?noredi-rect=on&utm_term=.469cb4f7ee00 [Accessed 21 Mar. 2019].

Zack Whittaker, (2019), techcrunch, https://techcrunch.com/2019/02/17/openai-text-gen-

erator-dangerous/?guccounter=1&guce_refer- rer_us=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_cs=hWevgBZWIg-MAchUCOSRWPA

ARTIFICIAL INTELLIGENCE, AUGMENTED REALITY AND MIXED