Algorithmic News Versus Non-Algorithmic NewsTowards a Principle based Artificial Intelligence (AI) Theoretical Framework of News Media

  1. Rebecca Scheffauer 1
  2. Homero Gil de Zúñiga 2
  3. Teresa Correa 3
  1. 1 University of Salamanca, College of Law & Public Administration, Democracy Research Unit Political Science
  2. 2 Pennsylvania State University, Donald P. Bellisario College of Communications Film Production & Media Studies Department Media Effects Research Lab; University of Salamanca, College of Law & Public Administration
  3. 3 Universidad Diego Portales, Facultad de Comunicación y Letras Centro de Investigación en Comunicación, Literatura, y Observación Social (CICLOS)
Revista:
El profesional de la información

ISSN: 1386-6710 1699-2407

Año de publicación: 2024

Volumen: 33

Número: 1

Tipo: Artículo

DOI: 10.3145/EPI.2024.0009 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: El profesional de la información

Resumen

Technological media effects scholarship in the field of journalism and communication is experiencing a reinvigorated blooming due to the role of Artificial Intelligence (AI) and algorithm-based information. From news production to distribution and consumption, the whole journalistic chain of information media ecosystems and the principles that govern them have all been deeply transformed with the advent of AI and algorithmic tools. Drawing from well-established normative principles that have guided the journalistic profession, this paper seeks to synthesize the current state of research on AI and algorithm-based news by providing a principle-based theoretical framework of news media. In doing so, the paper organizes a comparison between algorithmic news versus non-algorithmic news according to three foundational pillars sustaining journalism research: news production, selection, and effects thereof.

Referencias bibliográficas

  • Ali, Waleed; Hassoun, Mohamed(2019). "Artificial Intelligence and Automated Journalism: Contemporary Challenges and New Opportunities". International Journal of Media, Journalism and Mass Communications,v. 5, n. 1, pp. 40-49. https://doi.org/10.20431/2454-9479.0501004
  • Allcott, Hunt; Gentzkow, Matthew(2017). "Social Media and Fake News in the 2016 Election". Journal of Economic Perspectives,v. 31, n. 2, pp. 211-236. https://doi.org/10.1257/jep.31.2.211
  • Baptista, João Pedro; Correia, Elisete; Gradim, Anabela; Piñeiro-Naval, Valeriano(2021). "The influence of political ideology on fake news belief: The Portuguese case". Publications,v. 9, n. 2, pp. 23. https://doi.org/10.3390/publications9020023
  • Bastian, Mariella; Makhortykh, Mykola; Dobber, Tom(2019). "News personalization for peace: how algorithmic recommendations can impact conflict coverage". International Journal of Conflict Management,v. 30, n. 3, pp. 309-328. https://doi.org/10.1108/IJCMA-02-2019-0032
  • Bengtsson, Stina(2022). "The relevance of digital news: Themes, scales and temporalities". Digital Journalism,pp. 1-19. https://doi.org/10.1080/21670811.2022.2150254
  • Bengtsson, Stina; Johansson, Sofia(2021). "A phenomenology of news: Understanding news in digital culture". Journalism,v. 22, n. 11, pp. 2873-2889. https://doi.org/10.1177/1464884919901194
  • Bessi, Alessandro; Zollo, Fabiana; Del Vicario, Michela; Puliga, Michelangelo; Scala, Antonio; Caldarelli, Guido; Uzzi, Brian; Quattrociocchi, Walter(2016). "Users polarization on Facebook and Youtube". PloS One,v. 11, n. 8, pp. e0159641. https://doi.org/10.1371/journal.pone.0159641
  • Blacklaws, Christina(2018). "Algorithms: transparency and accountability". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences,v. 376, n. 2128, pp. 20170351. https://doi.org/10.1098/rsta.2017.0351
  • Bodó, Balázs(2019). "Selling News to Audiences–A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News Media". Digital Journalism,v. 7, n. 8, pp. 1054-1075. https://doi.org/10.1080/21670811.2019.1624185
  • Boerman, Sophie C.; Kruikemeier, Sanne; Zuiderveen Borgesius, Frederik J.(2021). "Exploring Motivations for Online Privacy Protection Behavior: Insights From Panel Data". Communication Research,v. 48, n. 7, pp. 953-977. https://doi.org/10.1177/0093650218800915
  • Büchi, Moritz; Festic, Noemi; Just, Natascha; Latzer, Michael(2021). "Digital inequalities in online privacy protection: effects of age, education and gender." In: Handbook of digital inequality.Hargittai, Eszter (Ed.), pp. 296-310. Edward Elgar Publishing. https://doi.org/10.4337/9781788116572.00029
  • Busuioc, Madalina(2021). "Accountable Artificial Intelligence: Holding Algorithms to Account". Public Administration Review,v. 81, n. 5, pp. 825-836. https://doi.org/10.1111/puar.13293
  • Calice, Mikhaila N.; Bao, Luye; Freiling, Isabelle; Howell, Emily; Xenos, Michael A.; Yang, Shiyu; Brossard, Dominique; Newman, Todd P.; Scheufele, Dietram A.(2023). "Polarized platforms? How partisanship shapes perceptions of “algorithmic news bias”". New Media & Society,v. 25, n. 11, pp. 2833-2854. https://doi.org/10.1177/14614448211034159
  • Carlson, Matt(2018). "Automating judgment? Algorithmic judgment, news knowledge, and journalistic professionalism". New Media & Society,v. 20, n. 5, pp. 1755-1772. https://doi.org/10.1177/1461444817706684
  • Castro, Laia; Strömbäck, Jesper; Esser, Frank; Van Aelst, Peter; de Vreese, Claes; Aalberg, Toril; Cardenal, Ana S; Corbu, Nicoleta; Hopmann, David Nicolas; Koc-Michalska, Karolina(2022). "Navigating high-choice European political information environments: A comparative analysis of news user profiles and political knowledge". The International Journal of Press/Politics,v. 27, n. 4, pp. 827-859. https://doi.org/10.1177/19401612211012572
  • Cheung, Ming; She, James; Junus, Alvin; Cao, Lei(2016). "Prediction of virality timing using cascades in social media". ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),v. 13, n. 1, pp. 1-23. https://doi.org/10.1145/2978771
  • Christiano, Thomas(2022). "Algorithms, Manipulation, and Democracy". Canadian Journal of Philosophy,v. 52, n. 1, pp. 109-124. https://doi.org/10.1017/can.2021.29
  • Clerwall, Christer(2014). "Enter the Robot Journalist". Journalism Practice,v. 8, n. 5, pp. 519-531. https://doi.org/10.1080/17512786.2014.883116
  • Covington, Paul; Adams, Jay; Sargin, Emre(2016). "Deep neural networks for youtube recommendations." In: Proceedings of the 10th ACM conference on recommender systems.pp. 191-198. ACM. https://doi.org/10.1145/2959100.2959190
  • Daucé, Françoise; Loveluck, Benjamin(2021). "Codes of conduct for algorithmic news recommendation: The Yandex. News controversy in Russia". First Monday,v. 26, n. 5. https://doi.org/10.5210/fm.v26i5.11708
  • Diakopoulos, Nicholas(2015). "Algorithmic Accountability". Digital Journalism,v. 3, n. 3, pp. 398-415. https://doi.org/10.1080/21670811.2014.976411
  • Diakopoulos, Nicholas (2019). Automating the News: How Algorithms Are Rewriting the Media. Harvard University Press. https://www.hup.harvard.edu/books/9780674976986
  • Diakopoulos, Nicholas; Koliska, Michael(2017). "Algorithmic Transparency in the News Media". Digital Journalism,v. 5, n. 7, pp. 809-828. https://doi.org/10.1080/21670811.2016.1208053
  • Ellis, Justin(2013). "The Guardian experiments with a robot-generated newspaper with The Long Good Read." NiemanLab. Accessed 5.8.23. https://www.niemanlab.org/2013/12/the-guardian-experiments-with-a-robot-generated-newspaper-with-the-long-good-read
  • Eslami, Motahhare; Aleyasen, Amirhossein; Karahalios, Karrie; Hamilton, Kevin; Sandvig, Christian(2015). "Feedvis: A path for exploring news feed curation algorithms." In: Proceedings of the 18th acm conference companion on computer supported cooperative work & social computing.pp. 65-68. ACM. https://doi.org/10.1145/2685553.2702690
  • Farley, Elizabeth; Grady, Fiona; Miller, Dean S; O'Connor, Rory; Schneider, Howard; Spikes, Michael; Constantinou, Constantia(2014). "SPJ Code of Ethics". The Power of Images. https://repo.library.stonybrook.edu/xmlui/bitstream/handle/11401/9251/spjethicscode.pdf
  • Fayyaz, Zeshan; Ebrahimian, Mahsa; Nawara, Dina; Ibrahim, Ahmed; Kashef, Rasha(2020). "Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities". Applied Sciences,v. 10, n. 21, pp. 7748. https://doi.org/10.3390/app10217748
  • Feezell, Jessica T.(2018). "Agenda Setting through Social Media: The Importance of Incidental News Exposure and Social Filtering in the Digital Era". Political Research Quarterly,v. 71, n. 2, pp. 482-494. https://doi.org/10.1177/1065912917744895
  • Feezell, Jessica T.; Wagner, John K.; Conroy, Meredith(2021). "Exploring the effects of algorithm-driven news sources on political behavior and polarization". Computers in Human Behavior,v. 116, pp. 106626. https://doi.org/10.1016/j.chb.2020.106626
  • Festic, Noemi(2022). "Same, same, but different! Qualitative evidence on how algorithmic selection applications govern different life domains". Regulation & Governance,v. 16, n. 1, pp. 85-101. https://doi.org/10.1111/rego.12333
  • Fjeld, Jessica; Achten, Nele; Hilligoss, Hannah; Nagy, Adam; Srikumar, Madhulika(2020). "Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI". Berkman Klein Center Research Publication,n. 2020-1. https://doi.org/10.2139/ssrn.3518482
  • Fletcher, Richard; Nielsen, Rasmus Kleis(2019). "Generalised scepticism: how people navigate news on social media". Information, Communication & Society,v. 22, n. 12, pp. 1751-1769. https://doi.org/10.1080/1369118X.2018.1450887
  • Flew, Terry; Martin, Fiona; Suzor, Nicolas(2019). "Internet regulation as media policy: Rethinking the question of digital communication platform governance". Journal of Digital Media & Policy,v. 10, n. 1, pp. 33-50. https://doi.org/10.1386/jdmp.10.1.33_1
  • Forman-Katz, N.; Matsa, K. E.(2022). "News Platform Fact Sheet." Pew Research Center’s Journalism Project. Accessed 5.8.23. https://www.pewresearch.org/journalism/fact-sheet/news-platform-fact-sheet
  • Fyfield, Matthew; Henderson, Michael; Phillips, Michael(2021). "Navigating four billion videos: teacher search strategies and the YouTube algorithm". Learning, Media and Technology,v. 46, n. 1, pp. 47-59. https://doi.org/10.1080/17439884.2020.1781890
  • Garz, Marcel; Szucs, Ferenc(2023). "Algorithmic selection and supply of political news on Facebook". Information Economics and Policy,v. 62, pp. 101020. https://doi.org/10.1016/j.infoecopol.2023.101020
  • Gielen, M.; Rosen, J.(2016). "Reverse Engineering The YouTube Algorithm." Tubefilter. Accessed 10.25.23. https://www.tubefilter.com/2016/06/23/reverse-engineering-youtube-algorithm
  • Gil de Zúñiga, Homero; Goyanes, Manuel; Durotoye, Timilehin(2023). "A Scholarly Definition of Artificial Intelligence (AI): Advancing AI as a Conceptual Framework in Communication Research". Political Communication,v. 41, n. 2, pp. 317-334. https://doi.org/10.1080/10584609.2023.2290497
  • Graefe, Andreas (2016). Guide to Automated Journalism. Tow Center for Digital Journalism, Columbia University. https://doi.org/10.7916/D80G3XDJ
  • Groot Kormelink, Tim; Costera Meijer, Irene(2014). "Tailor-made news: Meeting the demands of news users on mobile and social media". Journalism Studies,v. 15, n. 5, pp. 632-641. https://doi.org/10.1080/1461670X.2014.894367
  • Head, Alison J; Fister, Barbara; MacMillan, Margy(2020). "Information Literacy in the Age of Algorithms". Project Information Literacy,pp. 55. https://projectinfolit.org/pubs/algorithm-study/pil_algorithm-study_2020-01-15.pdf
  • Hoffmann-Riem, Wolfgang(2020). "Artificial Intelligence as a Challenge for Law and Regulation." In: Regulating Artificial Intelligence.Wischmeyer, Thomas; Rademacher, Timo (Eds.), pp. 1-29. Springer International Publishing. https://doi.org/10.1007/978-3-030-32361-5_1
  • Joris, Glen; Grove, Frederik De; Van Damme, Kristin; De Marez, Lieven(2021). "Appreciating News Algorithms: Examining Audiences’ Perceptions to Different News Selection Mechanisms". Digital Journalism,v. 9, n. 5, pp. 589-618. https://doi.org/10.1080/21670811.2021.1912626
  • Jung, Jaemin; Song, Haeyeop; Kim, Youngju; Im, Hyunsuk; Oh, Sewook(2017). "Intrusion of software robots into journalism: The public's and journalists' perceptions of news written by algorithms and human journalists". Computers in Human Behavior,v. 71, pp. 291-298. https://doi.org/10.1016/j.chb.2017.02.022
  • Kabiljo, M.; Ilic, A.(2015). "Recommending Items to More Than a Billion People." Engineering at Meta. Accessed 5.9.23. https://engineering.fb.com/2015/06/02/core-data/recommending-items-to-more-than-a-billion-people
  • Kantar Media(2017). "Fake News Reinforces Trust in Mainstream News." [WWW Document]. Kantar Media. Accessed 10.8.20. https://www.kantar.com/inspiration/advertising-media/fake-news-reinforces-trust-in-mainstream-news-brands
  • Kappeler, Kiran; Festic, Noemi; Latzer, Michael; Rüedy, Tanja(2023). "Coping with Algorithmic Risks". Journal of Digital Social Research,v. 5, n. 1, pp. 23-47. https://doi.org/10.5167/uzh-234617
  • Kemper, Jakko; Kolkman, Daan(2019). "Transparent to whom? No algorithmic accountability without a critical audience". Information, Communication & Society,v. 22, n. 14, pp. 2081-2096. https://doi.org/10.1080/1369118X.2018.1477967
  • Knobloch-Westerwick, Silvia; Meng, Jingbo(2011). "Reinforcement of the Political Self Through Selective Exposure to Political Messages". Journal of Communication,v. 61, n. 2, pp. 349-368. https://doi.org/10.1111/j.1460-2466.2011.01543.x
  • Kopf, Susanne(2020). "“Rewarding good creators”: corporate social media discourse on monetization schemes for content creators". Social Media + Society,v. 6, n. 4, pp. 2056305120969877. https://doi.org/10.1177/2056305120969877
  • Kotenidis, Efthimis; Veglis, Andreas(2021). "Algorithmic Journalism—Current Applications and Future Perspectives". Journalism and Media,v. 2, n. 2, pp. 244-257. https://doi.org/10.3390/journalmedia2020014
  • Latzer, Michael; Hollnbuchner, Katharina; Just, Natascha; Saurwein, Florian(2016). "The economics of algorithmic selection on the Internet." In: Handbook on the Economics of the Internet.Bauer, Johannes M.; Latzer, Michael (Eds.), pp. 395-425. Edward Elgar Publishing. https://doi.org/10.4337/9780857939852.00028
  • Lee, Hyunwoo; Yang, Jungae(2014). "Political Knowledge Gaps Among News Consumers With Different News Media Repertoires Across Multiple Platforms". International Journal of Communication,v. 8, pp. 597–617. https://ijoc.org/index.php/ijoc/article/view/2455
  • Lee, Terry(2019). "The global rise of “fake news” and the threat to democratic elections in the USA". Public Administration and Policy,v. 22, n. 1, pp. 15-24. https://doi.org/10.1108/PAP-04-2019-0008
  • Liang, Hai(2018). "Broadcast Versus Viral Spreading: The Structure of Diffusion Cascades and Selective Sharing on Social Media". Journal of Communication,v. 68, n. 3, pp. 525-546. https://doi.org/10.1093/joc/jqy006
  • Litt, Eden; Zhao, Siyan; Kraut, Robert; Burke, Moira(2020). "What Are Meaningful Social Interactions in Today’s Media Landscape? A Cross-cultural Survey". Social Media + Society,v. 6, n. 3, pp. 2056305120942888. https://doi.org/10.1177/2056305120942888
  • McBride, Kelly; Rosenstiel, Tom (2013). The new ethics of journalism: Principles for the 21st century. CQ Press. https://doi.org/10.4135/9781071934098
  • Micheli, Marina; Lutz, Christoph; Büchi, Moritz(2018). "Digital Footprints: An Emerging Dimension of Digital Inequality". Journal of Information, Communication and Ethics in Society,v. 16, n. 3, pp. 242-251. https://doi.org/10.1108/JICES-02-2018-0014
  • Min, Seong Jae(2019). "From algorithmic disengagement to algorithmic activism: Charting social media users’ responses to news filtering algorithms". Telematics and Informatics,v. 43, pp. 101251. https://doi.org/10.1016/j.tele.2019.101251
  • Mittelstadt, Brent(2016). "Automation, algorithms, and politics| auditing for transparency in content personalization systems". International Journal of Communication,v. 10, pp. 4991–5002. https://ijoc.org/index.php/ijoc/article/view/6267
  • Monzer, Cristina; Moeller, Judith; Helberger, Natali; Eskens, Sarah(2020). "User Perspectives on the News Personalisation Process: Agency, Trust and Utility as Building Blocks". Digital Journalism,v. 8, n. 9, pp. 1142-1162. https://doi.org/10.1080/21670811.2020.1773291
  • Mosseri, Adam(2018). "News Feed FYI: Bringing People Closer Together." [WWW Document]. Meta for Business. Accessed 10.25.23. https://www.facebook.com/business/news/news-feed-fyi-bringing-people-closer-together
  • Napoli, Philip M(2015). "Social media and the public interest: Governance of news platforms in the realm of individual and algorithmic gatekeepers". Telecommunications Policy,v. 39, n. 9, pp. 751-760. https://doi.org/10.1016/j.telpol.2014.12.003
  • Narayanan, Arvind (2023). Understanding Social Media Recommendation Algorithms. Knight First Amendment Institute. https://doi.org/10.7916/khdk-m460
  • Newton, Lisa H; Hodges, Louis; Keith, Susan(2004). "Accountability in the Professions: Accountability in Journalism". Journal of Mass Media Ethics,v. 19, n. 3-4, pp. 166-190. https://doi.org/10.1080/08900523.2004.9679687
  • Nguyen, Tien T; Hui, Pik-Mai; Harper, F Maxwell; Terveen, Loren; Konstan, Joseph A(2014). "Exploring the filter bubble: the effect of using recommender systems on content diversity." In: Proceedings of the 23rd international conference on World wide web.pp. 677-686. ACM. https://doi.org/10.1145/2566486.2568012
  • Ohme, Jakob(2021). "Algorithmic Social Media Use and Its Relationship to Attitude Reinforcement and Issue-specific Political Participation–the Case of the 2015 European Immigration Movements". Journal of Information Technology & Politics,v. 18, n. 1, pp. 36-54. https://doi.org/10.1080/19331681.2020.1805085
  • Ojala, Markus(2021). "Is the Age of Impartial Journalism Over? The Neutrality Principle and Audience (Dis)trust in Mainstream News". Journalism Studies,v. 22, n. 15, pp. 2042-2060. https://doi.org/10.1080/1461670X.2021.1942150
  • Park, Chang Sup; Kaye, Barbara K(2019). "Mediating Roles of News Curation and News Elaboration in the Relationship between Social Media Use for News and Political Knowledge". Journal of Broadcasting & Electronic Media,v. 63, n. 3, pp. 455-473. https://doi.org/10.1080/08838151.2019.1653070
  • Park, Yong Jin (2021). The future of digital surveillance: Why digital monitoring will never lose its appeal in a world of algorithm-driven AI. University of Michigan Press. https://doi.org/10.3998/mpub.10211441
  • Phillips, Angela(2009). "Old Sources: New Bottles." In: New Media, Old News: Journalism and Democracy in the Digital Age.Fenton, Natalie (Ed.), pp. 87-101. SAGE Publications. https://research.gold.ac.uk/id/eprint/5898
  • Phillips, Angela(2010). "Transparency and the New Ethics of Journalism". Journalism Practice,v. 4, n. 3, pp. 373-382. https://doi.org/10.1080/17512781003642972
  • Poell, Thomas; Van Dijck, José(2015). "Social Media and Activist Communication." In: The Routledge Companion to Alternative and Community Media.Atton, Chris (Ed.), pp. 527-537. Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781315717241-53
  • Poell, Thomas; van Dijck, José(2018). "Social Media and New Protest Movements." In: The Sage Handbook of Social Media.Burgess, Jean; Marwick, Alice; Poell, Thomas (Eds.), pp. 546-561. Sage Publications. https://hdl.handle.net/11245.1/c69e856d-c7c8-4a9a-94e5-899b5b0e8fbb
  • Rader, Emilee; 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.pp. 173-182. ACM. https://doi.org/10.1145/2702123.2702174
  • Rainie, Lee; Funk, Cary; Anderson, Monica; Tyson, Alec(2022). "3. Mixed Views About Social Media Companies Using Algorithms to Find False Information." Pew Research Center: Internet, Science & Tech. Accessed 5.4.23. https://www.pewresearch.org/internet/2022/03/17/mixed-views-about-social-media-companies-using-algorithms-to-find-false-information
  • Romei, Andrea; Ruggieri, Salvatore(2014). "A Multidisciplinary Survey on Discrimination Analysis". The Knowledge Engineering Review,v. 29, n. 5, pp. 582-638. https://doi.org/10.1017/S0269888913000039
  • Saldaña, Magdalena; McGregor, Shannon C; Gil de Zúñiga, Homero(2015). "Social Media as a Public Space for Politics: Cross-national Comparison of News Consumption and Participatory Behaviors in the United States and the United Kingdom". International Journal of Communication,v. 9, n. 1, pp. 3304-3326. https://ijoc.org/index.php/ijoc/article/view/3238
  • Santos, Fernando P; Lelkes, Yphtach; Levin, Simon A(2021). "Link recommendation algorithms and dynamics of polarization in online social networks". Proceedings of the National Academy of Sciences,v. 118, n. 50, pp. e2102141118. https://doi.org/10.1073/pnas.2102141118
  • Sawant, P B(2003). "Accountability in Journalism". Journal of Mass Media Ethics,v. 18, n. 1, pp. 16-28. https://doi.org/10.1207/S15327728JMME1801_03
  • Schwartz, Sander Andreas; Mahnke, Martina Skrubbeltrang(2021). "Facebook use as a communicative relation: exploring the relation between Facebook users and the algorithmic news feed". Information, Communication & Society,v. 24, n. 7, pp. 1041-1056. https://doi.org/10.1080/1369118X.2020.1718179
  • Shao, Chengcheng; Ciampaglia, Giovanni Luca; Varol, Onur; Yang, Kai-Cheng; Flammini, Alessandro; Menczer, Filippo(2018). "The spread of low-credibility content by social bots". Nature Communications,v. 9, n. 1, pp. 4787. https://doi.org/10.1038/s41467-018-06930-7
  • Shehata, Adam; Strömbäck, Jesper(2021). "Learning political news from social media: Network media logic and current affairs news learning in a high-choice media environment". Communication Research,v. 48, n. 1, pp. 125-147. https://doi.org/10.1177/0093650217749354
  • Shin, Donghee; Park, Yong Jin(2019). "Role of fairness, accountability, and transparency in algorithmic affordance". Computers in Human Behavior,v. 98, pp. 277-284. https://doi.org/10.1016/j.chb.2019.04.019
  • Shin, Jieun; Valente, Thomas(2020). "Algorithms and Health Misinformation: A Case Study of Vaccine Books on Amazon". Journal of Health Communication,v. 25, n. 5, pp. 394-401. https://doi.org/10.1080/10810730.2020.1776423
  • Stroud, Natalie Jomini(2010). "Polarization and Partisan Selective Exposure". Journal of Communication,v. 60, n. 3, pp. 556-576. https://doi.org/10.1111/j.1460-2466.2010.01497.x
  • Swart, Joëlle(2021). "Experiencing Algorithms: How Young People Understand, Feel About, and Engage With Algorithmic News Selection on Social Media". Social Media + Society,v. 7, n. 2, pp. 20563051211008828. https://doi.org/10.1177/20563051211008828
  • Thorson, Kjerstin; Wells, Chris(2016). "Curated Flows: A Framework for Mapping Media Exposure in the Digital Age". Communication Theory,v. 26, n. 3, pp. 309-328. https://doi.org/10.1111/comt.12087
  • Trilling, Damian; Van Klingeren, Marijn; Tsfati, Yariv(2017). "Selective exposure, political polarization, and possible mediators: Evidence from the Netherlands". International Journal of Public Opinion Research,v. 29, n. 2, pp. 189-213. https://doi.org/10.1093/ijpor/edw003
  • Valkenburg, Patti M; Peter, Jochen(2013). "The Differential Susceptibility to Media Effects Model". Journal of Communication,v. 63, n. 2, pp. 221-243. https://doi.org/10.1111/jcom.12024
  • Van der Velden, Mariken; Loecherbach, Felicia(2021). "Epistemic Overconfidence in Algorithmic News Selection". Media and Communication,v. 9, n. 4, pp. 182-197. https://doi.org/10.17645/mac.v9i4.4167
  • Van Drunen, Max Z; Helberger, Natali; Bastian, Mariella(2019). "Know your algorithm: what media organizations need to explain to their users about news personalization". International Data Privacy Law,v. 9, n. 4, pp. 220-235. https://doi.org/10.1093/idpl/ipz011
  • Volek, Jaromír; Krausová, Alžběta; Moravec, Václav(2023). "Between Benefits and Threats of the Algorithmic News Personalization". Observatorio (OBS*),v. 17, n. 1, pp. 1-18. https://doi.org/10.15847/obsOBS17120232063
  • Wojcieszak, Magdalena E; Mutz, Diana C(2009). "Online groups and political discourse: Do online discussion spaces facilitate exposure to political disagreement?". Journal of Communication,v. 59, n. 1, pp. 40-56. https://doi.org/10.1111/j.1460-2466.2008.01403.x
  • Yamamoto, Masahiro; Yang, Fan(2022). "Does news help us become knowledgeable or think we are knowledgeable? Examining a linkage of traditional and social media use with political knowledge". Journal of Information Technology & Politics,v. 19, n. 3, pp. 269-283. https://doi.org/10.1080/19331681.2021.1969611
  • Yeomans, Michael; Shah, Anuj; Mullainathan, Sendhil; Kleinberg, Jon(2019). "Making Sense of Recommendations". Journal of Behavioral Decision Making,v. 32, n. 4, pp. 403-414. https://doi.org/10.1002/bdm.2118
  • Yoon, Gunwoo; Li, Cong; Ji, Yi; North, Michael; Hong, Cheng; Liu, Jiangmeng(2018). "Attracting Comments: Digital Engagement Metrics on Facebook and Financial Performance". Journal of Advertising,v. 47, n. 1, pp. 24-37. https://doi.org/10.1080/00913367.2017.1405753
  • Zimmer, Franziska; Scheibe, Katrin; Stock, Mechtild; Stock, Wolfgang G(2019). "Echo Chambers and Filter Bubbles of Fake News in Social Media. Man-made or Produced by Algorithms." In: 8th Annual Arts, Humanities, Social Sciences & Education Conference.pp. 1-22. https://huichawaii.org/wp-content/uploads/2018/12/Zimmer-Franziska-2019-AHSE-HUIC.pdf
  • Zuiderveen Borgesius, Frederik; Trilling, Damian; Möller, Judith; Bodó, Balázs; De Vreese, Claes H; Helberger, Natali(2016). "Should We Worry about Filter Bubbles?". Internet Policy Review. Journal on Internet Regulation,v. 5, n. 1, pp. 1-16. https://doi.org/10.14763/2016.1.401