Algoritmizace sociálních sítí a její vliv na konzumaci online zpráv

• Název práce v češtině: Algoritmizace sociálních sítí a její vliv na konzumaci online zpráv
• Název v anglickém jazyce: Algorithmization of social media and its effects on online media
• Klíčová slova: sociální sítě, gatekeeping, algoritmus, algoritmizace, Facebook, News Feed
• Klíčová slova anglicky: social networking sites, gatekeeping, algorithm, algorithmization, Facebook, News Feed
• Akademický rok vypsání: 2017/2018
• Typ práce: bakalářská práce
• Jazyk práce: čeština
• Ústav: Katedra žurnalistiky (23-KZ)
• Vedoucí / školitel: Mgr. Pavel Kasík
• Řešitel: skrytý - zadáno a potvrzeno stud. odd.
• Datum přihlášení: 21.05.2020
• Datum zadání: 21.05.2020
• Datum a čas obhajoby: 23.06.2020 00:00
• Místo konání obhajoby: Hollar - Smetanovo nábřeží 6,Praha 1, H108, Hollar - místn. č. 108
• Datum odevzdání elektronické podoby: 22.05.2020
• Datum proběhlé obhajoby: 23.06.2020
• Oponenti: PhDr. Mgr. Bc. Jan Jirků, Ph.D.

Seznam odborné literatury

ALEXANDER, Jeffrey C. (2015). The Crisis of Journalism Reconsidered: Cultural Power. In: Fudan Journal of the Humanities and Social Sciences. 8(1), 9-31. Dostupné z: https://link.springer.com/article/10.1007/s40647-014-0056-5
ALI, Muhammad et al. (2019). Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes. In: Proceedings of the ACM on Human-Computer Interaction 2019. Cornell University. Dostupné z: https://arxiv.org/abs/1904.02095
Associated Press (2020). Facebook refuses to restrict untruthful political ads and micro-targeting. In: The Guardian [online]. 9.1.2020 [cit: 9.5.2020]. Dostupné z: https://www.theguardian.com/technology/2020/jan/09/facebook-political-ads-micro-targeting-us-election
BAIL, Christopher A. et al. (2018). Exposure to opposing views on social media can increase political polarization. In: Proceedings of the National Academy of Sciences of the united States of America (PNAS). 115(37), 9216-9221. Dostupné z: https://www.pnas.org/content/115/37/9216
BARON, Jonathan (2008). Thinking and Deciding. Cambridge : Cambridge University Press.
BARZILAI-NAHON, Karine (2008). Toward a theory of network gatekeeping: A framework for exploring information control. In: Journal of the American Society for Information Science and Technology. 59(9), 1493–1512. Dostupné z: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.20857
BBC (2017). Is your phone listening in? Your stories. In: BBC [online]. 30.10.2017 [cit: 1.12.2019]. Dostupné z: https://www.bbc.com/news/technology-41802282
BOLAND, Brian (2014). Organic Reach on Facebook: Your Questions Answered. In: Facebook for Business [online]. 5.6.2014 [cit: 10.5.2020]. Dostupné z: https://www.facebook.com/business/news/Organic-Reach-on-Facebook
BOYD, Danah M. a ELLISON, Nicole B. (2008). Social Network Sites: Definition, History and Scholarhip. Journal of Computer-Mediated Communication. 13, 210-230. Dostupné z: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1083-6101.2007.00393.x
BOZDAG, Engin (2013). Bias in algorithmic filtering and personalization. Ethics and Information Technology. 15(3), 209-228. Dostupné z: https://www.researchgate.net/publication/257560404_Bias_in_algorithmic_filtering_and_personalization
BRADY, William J. et al. (2017) Emotion shapes the diffusion of moralized content in social networks. In: Proceedings of the National Academy of Sciences of the united States of America (PNAS). 114(28), 7313-7318) Dostupné z: https://www.pnas.org/content/114/28/7313.long
BROWN, Campbell (2019). Introducing Facebook News. In: Facebook [online]. 25.10.2019 [cit: 9.5.2020]. Dostupné z: https://about.fb.com/news/2019/10/introducing-facebook-news/
BUCHER, Taina (2018). If... Then. Algorithmic Power and Politics. New York : Oxford University Press.
CIAMPAGLIA, Givoanni L. et al. (2018). How algorithmic popularity bias hinders or promotes quality. In: Nature [online]. 29.10.2018 [cit: 1.5.2020]. Dostupné z: https://www.nature.com/articles/s41598-018-34203-2
CLEMENT, J. (2019). Number of monthly active Facebook users worldwide as of 3rd quarter 2019. Statista [online]. 19.11.2019 [cit: 15.12.2019]. Dostupné z: https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/
CRAWFORD, Kate a PAGLEN, Trevor (2019). Excavating AI: The Politics of Images in Machine Learning Training Sets. In: Excavating AI [online]. 2019 [cit: 10.5.2020]. Dostupné z: https://www.excavating.ai/
ČERMÁK, Miloš (2009). Nová média. Úvod a stručná historie. [autor knihy] In: OSVALDOVÁ, Barbora a TEJKALOVÁ, Alice. Žurnalistika v informační společnosti: digitalizace a internetizace žurnalistiky. Praha : Nakladatelství Karolinum, s. 7-41.
D'ALESSIO , Dave a ALLEN, Mike (2000). Media Bias in Presidential Elections: A Meta-Analysis. Journal of Communication. 50(3), 133-156. Dostupné z: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1460-2466.2000.tb02866.x
DeVITO, Michael A. (2016). From Editors to Algorithms: A values-based approach to understanding story selection in the Facebook news feed. Digital Journalism. 5(6), 753-773. Dostupné z: https://www.tandfonline.com/doi/full/10.1080/21670811.2016.1178592
DEUZE, Mark (2016). Media Life: Život v médiích. Praha : Karolinum.
DREYFUS, Emily (2019). Facebook Changes Its Ad Tech to Stop Discrimination. Wired [online]. 19.3.2019 [cit: 17.12.2019]. Dostupné z: https://www.wired.com/story/facebook-advertising-discrimination-settlement/
DOMINGOS, Pedro (2015). The Master Algorithm. Penguin Books.
EMC (2014). The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things. EMC [online]. Duben 2014 [cit: 29.11.2019]. Dostupné z: https://www.emc.com/leadership/digital-universe/2014iview/executive-summary.html
ESLAMI, Motahhare et al. (2016). First I "like" it, then I hide it: Folk Theories of Social Feeds. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. San Jose : ACM, s. 2371-2382.
Facebook (2012). Form 1 Registration Statement. Securities and Exchange Commision (SEC). Dostupné z: https://www.sec.gov/Archives/edgar/data/1326801/000119312512034517/d287954ds1.htm
Facebook (2015). #AskMark: Why do you wear the same shirt every day? In: Vimeo [online]. 2015 [cit: 10.5.2020]. Dostupné z: https://vimeo.com/111171647
Facebook (2019). Why Am I Seeing This? We Have an Answer for You. Facebook Newsroom [online]. 31.3.2019 [cit: 15.11.2019]. Dostupné z: https://about.fb.com/news/2019/03/why-am-i-seeing-this/
Facebook – Centrum nápovědy (2019a). Jaké druhy příspěvků se mi budou zobrazovat v kanálu vybraných příspěvků na Facebooku? Facebook - Centrum nápovědy [online]. 24.4.2019 [citace: 5.12.2019.] Dostupné z: https://www.facebook.com/help/166738576721085
Facebook – Centrum nápovědy (2019b). Co znamená, když se něco na Facebooku zobrazuje jako první? Facebook - Centrum nápovědy [online]. 31.10.2019 [cit: 16.12.2019]. Dostupné z: https://www.facebook.com/help/1188278037864643
FATTAL, Alex (2012). Facebook: Corporate Hackers, a Billion Users, and the Geo-politics of the "Social Graph". In: Anthropological Quarterly. 85(3), 927-955. Dostupné z: https://www.jstor.org/stable/41857277?seq=1
FLETCHER, Richard (2020). The truth behind filter bubbles: Bursting some myths. In: Reuters Institute [online]. 25.1.2020 [cit: 10.5.2020]. Dostupné z: https://reutersinstitute.politics.ox.ac.uk/risj-review/truth-behind-filter-bubbles-bursting-some-myths
FRIEDMAN, Batya a NISSENBAUM, Helen (1996). Bias in Computer Systems. ACM Transactions on Information Systems. 14(3), 330-347. Dostupné z: https://vsdesign.org/publications/pdf/64_friedman.pdf
GALTUNG, Johan a RUGE, Mari Holmboe (1965). The Structure of Foreign News. Journal of Peace Research. 2(1), 64-91. Dostupné z: https://journals.sagepub.com/doi/10.1177/002234336500200104
GANIELKOV, Maksym et al. (2016) Social Clicks: What and Who Gets Read on Twitter? In: SIGMETRICS '16: Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science. Antibes Juan-les-Pins : Francie, s. 179-192. Dostupné z: https://hal.inria.fr/hal-01281190/document
GIGERENZER, Gerd a SELTEN, Reinhard (2002). Bounded Rationality: The Adaptive Toolbox. Cambridge : MIT Press.
GILLER, Emily (2016). Native Advertising: An International Perspective. Professional Projects from the College of Journalism and Mass Communications. Dostupné z: https://digitalcommons.unl.edu/journalismprojects/7/
GILLESPIE, Tarleton (2014a). The Relevance of Algorithms. In: GILLESPIE, Tarleton, BOCZKOWSKI, Pablo J. a FOOT, Kristen A. Media Technologies: Essays on Communication, Materiality, and Society. The MIT Press, s. 167-194. Dostupné z: https://www.researchgate.net/publication/281562384_The_Relevance_of_Algorithms
GILLESPIE, Tarleton (2014b). Facebook’s algorithm — why our assumptions are wrong, and our concerns are right. In: Culture Digitally [online]. 4.6.2014 [cit: 10.5.2020]. Dostupné z: http://culturedigitally.org/2014/07/facebooks-algorithm-why-our-assumptions-are-wrong-and-our-concerns-are-right/
GILLESPIE, Tarleton (2014c). Algorithm [draft] [#digitalkeywords]. In: Culture Digitally [online]. 25.6.2014 [cit: 10.5.2020]. Dostupné z: http://culturedigitally.org/2014/06/algorithm-draft-digitalkeyword/
GREY ELLIS, Emma (2019). Why Social Media Companies Frown on 'Gaming the Algorithm'. In: Wired [online]. 11.5.2019 [cit: 10.5.2020]. Dostupné z: https://www.wired.com/story/platforms-gaming-algorithm/
HAMILTON, Kevin et al (2014). A Path to Understanding the Effects of Algorithm Awareness. In: CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems. Toronto : Kanada, s. 631-642. Dostupné z: https://dl.acm.org/doi/10.1145/2559206.2578883
HANITZSCH, Thomas (2007). Deconstructing Journalism Culture: Toward a Universal Theory. In: Communication Theory. 17(4), 367-385. Dostupné z: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1468-2885.2007.00303.x
HARCUP, Tony a O’NEIL, Deirdre (2001). What Is News? Galtung and Ruge revisited. Journalism Studies. 2 (2), 261-280. Dostupné z: https://www.tandfonline.com/doi/abs/10.1080/14616700118449?journalCode=rjos20
HARDY, Quentin (2014). The Monuments of Tech. In: The New York Times [online]. 1.3.2014 [cit: 10.5.2020]. Dostupné z: https://www.nytimes.com/2014/03/02/technology/the-monuments-of-tech.html
HASELTON, Martie G., NETTLE, Daniel a ANDREWS, Paul W. (2005). The Evolution of Cognitive Bias. In: BUSS, David M. The Handbook of Evolutionary Psychology. Wiley, s. 724-746. Dostupné z: https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470939376.ch25
HELBERGER, Natali, KÖNIGSLÖW, Katherina Kleinen-von a NOLL, Rob van der (2015). Regulating the New Information Intermediaries as Gatekeepers of Information Diversity. In: Info. 17(6), 50-71. Dostupné z: https://www.ivir.nl/publicaties/download/1618.pdf
HENDL, Jan (2016). Kvalitativní výzkum: Základní teorie, metody a aplikace. Praha : Portál.
HILBERT, Martin (2012). Toward a Synthesis of Cognitive Biases: How Noisy Information Processing Can Bias Human Decision Making. Psychological Bulletin. 138(2), 211-237. Dostupné z: https://www.researchgate.net/publication/51831538_Toward_a_Synthesis_of_Cognitive_Biases_How_Noisy_Information_Processing_Can_Bias_Human_Decision_Making
HOFSTETTER, C. Richard (1976). Bias in the News: Network Television Coverage of the 1972 Election Compaign. Columbus : Ohio State University Press.
HUNT, Elle (2016). New algorithm-driven Instagram feed rolled out to the dismay of users. In: The Guardian [online]. 10.2.2016 [cit: 10.5.2020]. Dostupné z: https://www.theguardian.com/technology/2016/jun/07/new-algorithm-driven-instagram-feed-rolled-out-to-the-dismay-of-users
IGGERS, Jeremy (1999). Good News, Bad News: Journalism Ethics and the Public Interest. Westview Press.
INGRAM, Mathew (2018). The Facebook Armageddon: The social network’s increasing threat to journalism. In: Columbia Journalism Review [online]. Zima 2019 [cit: 10.5.2020]. Dostupné z: https://www.cjr.org/special_report/facebook-media-buzzfeed.php
ISAAC, Mike (2019). In New Facebook Effort, Humans Will Help Curate Your News Stories. In: The New York Times [online]. 20.8.2019 [cit: 14.12.2019]. Dostupné z: https://www.nytimes.com/2019/08/20/technology/facebook-news-humans.html
JIRÁK, Jan a KÖPPLOVÁ, Barbara (2015). Masová média. Praha : Portál.
JUST, Natascha a LATZER, Michael (2017). Governance by algorithms: reality construction by algorithmic selection on the Internet. Media, Culture & Society. 39(2), 238-258. Dostupné z: https://journals.sagepub.com/doi/abs/10.1177/0163443716643157?journalCode=mcsa
KARPF, David (2012). Social science research methods in internet time. Information, Communication & Society. 15(5), 639-661. Dostupné z: https://www.tandfonline.com/doi/abs/10.1080/1369118X.2012.665468
KASTRENAKES, Jacob (2018). Facebook will remove the Trending topics section next week. In: The Verge [online]. 1.6.2018 [cit: 29.11.2019]. Dostupné z: https://www.theverge.com/2018/6/1/17417428/facebook-trending-topics-being-removed
KOFMAN, Ava a TOBIN, Ariana (2019). Facebook Ads Can Still Discriminate Against Women and Older Workers, Despite a Civil Rights Settlement. In: ProPublica [online]. 13.12.2019 [cit: 10.5.2020]. Dostupné z: https://www.propublica.org/article/facebook-ads-can-still-discriminate-against-women-and-older-workers-despite-a-civil-rights-settlement
KRUG, Sammi (2016). Reactions Now Available Globally. In: Facebook Newsroom [online]. 24.2.2016 [cit: 1.12.2019]. Dostupné z: https://about.fb.com/news/2016/02/reactions-now-available-globally/
KUNCZIK, Michael (1995). Základy masové komunikace. Praha : Karolinum.
LaFRANCE, Adrienne (2015). Not Even the People Who Write Algorithms Really Know How They Work. In: The Atlantic [online]. 18.9.2015 [cit: 9.5.2020]. Dostupné z: https://www.theatlantic.com/technology/archive/2015/09/not-even-the-people-who-write-algorithms-really-know-how-they-work/406099/
LATZER, Michael et al. (2014). The economics of algorithmic selection on the Internet. Working Paper - Media Change & Innovation Division. Zurich : University of Zurich. Dostupné z: https://www.mediachange.ch/media//pdf/publications/Economics_of_algorithmic_selection_WP.pdf
LEE, Jong Hyuk (2009). News Values, Media Coverage, and Audience Attention: An Analysis of Direct and Mediated Cuasal Relationships. Journalism & Mass Media Communication Quarterly. 86 (1), 175-190.
LICHTENBERG, Judith (2000). In defence of objectivity revisited. In: GUREVITCH, Michael a CURRAN, James. Mass Media and Society, s. 225-242. Dostupné z: https://www.academia.edu/491896/In_defence_of_objectivity_revisited
LICHTER, S. Robert (2017). Theories of Media Bias. In: KENSKI, Kate a JAMIESON, Kathleen Hall. The Oxford Handbook of Political Communication. Dostupné z: https://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199793471.001.0001/oxfordhb-9780199793471-e-44/version/0
MANJOO, Farhad (2017). Can Facebook Fix Its Own Worst Bug? In: The New York Times [online]. 25.4.2017 [cit: 15.11.2019]. Dostupné z: https://www.nytimes.com/2017/04/25/magazine/can-facebook-fix-its-own-worst-bug.html
McCOMBS, Maxwell (2009). Agenda setting : nastolování agendy - masová méédia a veřejné mínění. Praha : Portál.
McGEE, Matt (2013). EdgeRank Is Dead: Facebook’s News Feed Algorithm Now Has Close To 100K Weight Factors. In: MarketingLand [online]. 16.8.2013 [cit: 10.12.2019]. Dostupné z: https://marketingland.com/edgerank-is-dead-facebooks-news-feed-algorithm-now-has-close-to-100k-weight-factors-55908
McNAIR, Brian (2004). Sociologie žurnalistiky. Praha : Portál.
McQUAIL, Denis (2009). Úvod do teorie masové komunikace. Praha : Portál.
McQUAIL, Denis (2016). Žurnalistika a společnost. Praha : Nakladatelství Karolinum.
METZ, Cade (2019). ‘Nerd,’ ‘Nonsmoker,’ ‘Wrongdoer’: How Might A.I. Label You? In: The New York Times [online]. 20.11.2019 [cit: 10.11.2019]. Dostupné z: https://www.nytimes.com/2019/09/20/arts/design/imagenet-trevor-paglen-ai-facial-recognition.html
MITTELSTADT, Brent D. et al (2016). The ethics of algorithms: Mapping the debate. In: Big Data & Society. 3(2), 1-21. Dostupné z: https://journals.sagepub.com/doi/full/10.1177/2053951716679679
MOSSERI, Adam (2018a). News Feed Ranking in Three Minutes Flat. In: Facebook Newsroom [online] 22.5.2018 [cit: 2.12.2019]. Dostupné z: https://about.fb.com/news/2018/05/inside-feed-news-feed-ranking/.
MOSSERI, Adam (2018b). Bringing People Closer Together. In: Facebook [online]. 15.5.2018 [cit: 13.5.2020]. Dostupné z: https://about.fb.com/news/2018/01/news-feed-fyi-bringing-people-closer-together/
NAUGHTON, John (2016). Here is the news – but only if Facebook thinks you need to know. In: The Guardian [online]. 15.5.2016 [cit: 13.5.2020]. Dostupné z: https://www.theguardian.com/commentisfree/2016/may/15/facebook-instant-articles-news-publishers-feeding-the-beast
NEWTON, Casey (2016). Twitter begins rolling out its algorithmic timeline around the world. In: The Verge [online]. 10.2.2016 [cit: 10.5.2020]. Dostupné z: https://www.theverge.com/2016/2/10/10955602/twitter-algorithmic-timeline-best-tweets
NG, Alfred (2019). Facebook isn't secretly listening in on your phone conversations. Really. CNET [online]. 15.5.2019 [cit: 15.12.2019]. Dostupné z: https://www.cnet.com/news/facebook-isnt-secretly-listening-in-on-your-phone-conversations-really/
NOYES, Dan (2019). The Top 20 Valuable Facebook Statistics – Updated November 2019. In: Zephoria Digital Marketing [online]. Listopad 2019 [cit: 2.12.2019]. Dostupné z: https://zephoria.com/top-15-valuable-facebook-statistics/
O’NEIL, Deirdre a HARCUP, Tony (2009). News Values and Selectivity. In: WAHL-JORGENSEN, Karin a HANITZSCH, Thomas. The Handbook of Journalism Studies. ProQuest Ebook Central, s. 161-174.
PARISER, Eli (2012). The Filter Bubble: What the Internet is Hiding from You. místo neznámé : Penguin Books, 2012.
Pew Research Center (2014). Political Polarization & Media Habits - From Fox News to Facebook, How Liberals and Conservatives Keep Up with Politics. In: Pew Research Center: Journalism & Media [online] 23.7.2019 [cit: 1.12.2019]. Dostupné z: https://www.journalism.org/2014/10/21/political-polarization-media-habits/
Pew Research Center (2017). Partisan Conflict and Congressional Outreach. In: Pew Research Center: U.S. Politics & Policy [online]. 23.1.2017 [cit: 10.5.2020]. Dostupné z: https://www.people-press.org/2017/02/23/partisan-conflict-and-congressional-outreach/
Pew Research Center (2019). Digital and non-digital advertising revenue. In: Pew Research Center: Journalism & Media [online]. 23.7.2019 [cit: 1.12.2019]. Dostupné z: https://www.journalism.org/chart/sotnm-digital-and-non-digital-advertising-revenue/
POSTMAN, Neil (1985). Ubavit se k smrti. Praha : Mladá fronta.
POWERS, Elia (2017). My News Feed is Filtered? Digital Journalism. 5 (10), 1315-1335. Dostupné z: https://www.tandfonline.com/doi/abs/10.1080/21670811.2017.1286943?journalCode=rdij20
RADER, Emilee a GRAY, Rebecca (2015). Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Soul : Korejská republika, s. 173-182. Dostupné z: https://dl.acm.org/doi/10.1145/2702123.2702174
Reuters Institute (2016). Digital News Report. Reuters Institute for the Study of Journalism, 2016. Dostupné z: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/research/files/Digital%2520News%2520Report%25202016.pdf
Reuters Institute (2018). Digital News Report. Reuters Institute for the Study of Journalism, 2018. Dostupné z: http://media.digitalnewsreport.org/wp-content/uploads/2018/06/digital-news-report-2018.pdf
ROSENBERG, Matthew, CONFESSORE, Nicholas a CADWALLADR, Carole (2018). How Trump Consultants Exploited the Facebook Data of Millions. In: The New York Times [online]. 17.3.2018 [cit: 3.12.2019]. Dostupné z: https://www.nytimes.com/2018/03/17/us/politics/cambridge-analytica-trump-campaign.html
ROSE-STOCKWELL, Tobias (2017). This Is How Your Fear and Outrage Are Being Sold for Profit. In: Medium [online]. 15.7.2017 [cit: 15.12.2019]. Dostupné z: https://medium.com/@tobiasrose/the-enemy-in-our-feeds-e86511488de
SANDVIG, Christian et a. (2014). Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms. In: Data and Discrimination: Converting Critical Concerns into Productive Inquiry. Seattle : USA. Dostupné z: https://www.semanticscholar.org/paper/Auditing-Algorithms-%3A-Research-Methods-for-on-Sandvig-Hamilton/b7227cbd34766655dea10d0437ab10df3a127396
SAPIEZYNSKI, Piotr et al (2019). Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences. In: arXiv [online]. 16.12.2019 [cit: 10.5.2020]. Dostupné z: https://arxiv.org/abs/1912.07579
SELLIER, Anne-Laure, SCOPELLITI, Irene a MOREWEDGE, Carey K. (2019). Debiasing Training Improves Decision Making in the Field. Psychological Science. 30 (9), 1371-1379. Dostupné z: https://journals.sagepub.com/doi/10.1177/0956797619861429
SCHMIDT, Tracy S. (2006). Inside the Backlash Against Facebook. In: Time [online]. 6.9.2006 [citace: 13.12.2019]. Dostupné z: http://content.time.com/time/nation/article/0,8599,1532225,00.html
SCHULTZ, Ida (2007). The journalistic gut feeling. Journalism Practice. 1 (2), 190-207. Dostupné z: https://www.tandfonline.com/doi/abs/10.1080/17512780701275507
SHAW, Aaron (2012). Centralized and Decentralized Gatekeeping in an Open Online Collective. Politics & Society. 40 (3), 349-388. Dostupné z: https://journals.sagepub.com/doi/abs/10.1177/0032329212449009
SHOEMAKER, Pamela a COHEN, Akiba A. (2006). News around the world : content, practitioners, and the public. New York : Taylor & Francis Group.
SHOEMAKER, Pamela J. (1997). A New Gatekeeping Model. In: BERKOWITZ, Daniel A. Social Meanings of News: A Text-Reader. Sage, s. 57-62.
SHOEMAKER, Pamela a VOS, Tim P. (2009). Gatekeeping Theory. New York : Routledge.
SHOEMAKER, Pamela J. a REESE, Stephen D. (1996). Mediating the Message. New York : Longman Publishers.
SIMON, Herbert A. (1955). A Behavioral Model of Rational Choice. The Quarterly Journal of Economics. 69(2), 99-118. Dostupné z: https://www.suz.uzh.ch/dam/jcr:ffffffff-fad3-547b-ffff-fffff0bf4572/10.18-simon-55.pdf
SINTEF (2013). Big Data, for better or worse: 90% of world's data generated over last two years. In: Science Daily [online]. 22.5.2013 [cit: 15.12.2019]. Dostupné z: https://www.sciencedaily.com/releases/2013/05/130522085217.htm
SUNDAR, S. Shyam a NASS, Clifford (2001). Conceptualizing sources in online news. In: Journal of Communication. 51(1), 52-72. Dostupné z: https://onlinelibrary.wiley.com/doi/10.1111/j.1460-2466.2001.tb02872.x
SUNDAR, S. Shyam (2008). The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility. In: METZGER, Miriam J. a FLANAGIN, Andrew J. Digital Media, Youth, and Credibility, s. 73-100. Dostupné z: https://www.issuelab.org/resources/875/875.pdf
TANGEL, Andrew a HAMILTON, Walter (2012). Stakes are high on Facebook's first day of trading. Los Angeles Times [online]. 17.5.2012 [cit: 1.12.2019]. Dostupné z: https://www.latimes.com/business/la-fi-facebook-pricing-20120518,0,3426310.story
THURMAN, Neil et al. (2019). My Friends, Editors, Algorithms, and I. Digital Journalism. 7(4), 447-469. Dostupné z: https://www.tandfonline.com/doi/full/10.1080/21670811.2018.1493936
TOFFLER, Alvin (1970). Future Shock. New York : Random House.
TOLAN, Songül (2018). Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges. JRC Digital Economy Working Paper 2018-10. JRC Technical Reports. Dostupné z: https://www.researchgate.net/publication/330409917_Fair_and_Unbiased_Algorithmic_Decision_Making_Current_State_and_Future_Challenges
TONKELOWITZ, Mark (2011). Interesting News, Any Time You Visit. In: Facebook Newsroom [online]. 20.9.2011 [cit: 15.12.2019]. Dostupné z: https://about.fb.com/news/2011/09/interesting-news-any-time-you-visit/
TRAMPOTA, Tomáš (2006). Zpravodajství. Praha : Portál.
TUCHMAN, Gaye (1972). Objectivity as Strategic Ritual: An Examination of Newsmen's Notions of Objectivity. American Journal of Sociology. 77(4), 660-679. Dostupné z: https://www.researchgate.net/publication/246988634_Objectivity_as_Strategic_Ritual_An_Examination_of_Newsmen's_Notions_of_Objectivity
VOS, Tim P. (2015). Revisiting Gatekeeping Theory During a Time of Transition. In: VOS, Tim P. a HEINDERYCKX, Francois. Gatekeeping in Transition. New York : Routledge, s. 3-24.
WALLACE, Julian (2017). Modelling Contemporary Gatekeeping. Digital Journalism. 6 (3), 274-293. Dostupné z: https://www.tandfonline.com/doi/abs/10.1080/21670811.2017.1343648?journalCode=rdij20
Wallaroo (2019). Facebook Newsfeed Algorithm History. In: Wallaroo [online]. 11.11.2019 [cit: 29.11.2019]. Dostupné z: https://wallaroomedia.com/facebook-newsfeed-algorithm-history/
WESTERSTÅHL, Jörgen (1983). Objective News Reporting: General Premises. In: Communication Research. 10(3), 403-424. Dostupné z: https://journals.sagepub.com/doi/abs/10.1177/009365083010003007
WHITE, David Manning (1950). The "Gate Keeper": A Case Study in the Selection of News. Journalism Quarterly. 27(4), 383-390. Dostupné z: https://journals.sagepub.com/doi/abs/10.1177/107769905002700403
Wired (2012). Mark Zuckerberg's Letter to Investors: 'The Hacker Way'. Wired [online] 2.1.2012 [cit: 29.11.2019]. Dostupné z: https://www.wired.com/2012/02/zuck-letter/
ZUCKERBERG, Mark (2017). Building Global Community. Facebook – osobní profil Marka Zuckerberga [online]. 16.2.2017 [cit: 2.12.2019]. Dostupné z: https://www.facebook.com/notes/mark-zuckerberg/building-global-community/10154544292806634/
ZUCKERBERG, Mark (2018a). A Blueprint for Content Governance and Enforcement. Facebook – osobní profil Marka Zuckerberga [online]. 15.11.2018 [cit: 5.5.2020]. Dostupné z: https://www.facebook.com/notes/mark-zuckerberg/a-blueprint-for-content-governance-and-enforcement/10156443129621634/
ZUCKERBERG, Mark (2018b). Testimony of Mark Zuckerberg. In: Legislativní výbor Senátu Spojených států amerických [online]. 10.4.2018 [cit: 10.5.2020]. Dostupné z: https://www.judiciary.senate.gov/meetings/facebook-social-media-privacy-and-the-use-and-abuse-of-data
ZUIDERVEEN BORGESIUS, Frederik J. et al (2016). Should we worry about filter bubbles? In: Internet Policy Reviw. 5(1), 1-16. Dostupné z: https://policyreview.info/articles/analysis/should-we-worry-about-filter-bubbles

Předběžná náplň práce

Vzestup sociálních sítí proměnil způsoby, jímž se vzrůstající počet jejich uživatel dostává ke zpravodajským obsahům. Na sociálních sítích na rozdíl od tradičních médií neexistují žádné univerzální informace, které jsou shodné pro všechny uživatele. Namísto toho každý jednotlivec je příjemcem specifického vzorku obsahu, který mu na míru vybírá filtrační algoritmus na základě jeho preferencí. Právě o principech fungování těchto dvou způsobů informačního výběru pojednává tato práce. Prostřednictvím teorie gatekeepingu zde představuji obecný model výběru zpráv novinovými editory a porovnávám jej s výběrem algoritmickým. Srovnávám přitom rozdílné hodnoty, jimiž se při výběru řídí lidští a algoritmičtí gatekeepeři a představuji také koncept objektivity a jeho specifická omezení v rámci obou modelů. Ve druhé části následně představuji vlastní kvalitativní výzkum povědomí o algoritmizaci Facebooku. Formou polostrukturovaných rozhovorů se vzorkem sedmi uživatelů Facebooku se pokouším nabídnout sadu specifických příkladů toho, jak uživatelé používají Facebook jako informační zdroj, do jaké míry chápou jeho algoritmizovanou podstatu a jaký k ní mají celkový postoj. Cílem této práce je prozkoumat, zda se ve zkušenostech konkrétních uživatelů projevují možná omezení algoritmického modelu informačního výběru a do jaké míry si jich jsou uživatelé vědomi.

Předběžná náplň práce v anglickém jazyce

The rise of social media has changed how growing numbers of internet users get their news. Unlike traditional media, there is no universal information for everyone on social networking sites. Instead, each user receives a personalized sample of posts picked for him by a filtering algorithm. The workings of those two types of information selection are the main topic of this paper. Based on the gatekeeping theory, I offer models of editorial and algorithmic news selection and their comparison. I also compare different values of human and algorithmic gatekeepers and introduce the concept of objectivity and its limits in both cases. In the second part of this thesis, I present qualitative research on the awareness of the Facebook algorithm. Using semi-structured interviews with seven Facebook users I present a set of specific examples of how users use Facebook as an information source, how much they understand its algorithmic nature, and how satisfied are they with it. The main aim of this theses is to find out, if the possible limits of algorithmic information selection model manifest themselves in the experience of particular users and to what extent are those users aware of it.