Modeling The Behavior Of Social Machines According To Cybernetics Research
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Abstract
The social machine refers to a combination of humans and communication technologies through the cooperation and interaction between which social structuration is formed. In this concept, machines represent technological communication tools, and humans represent people who have individual or social actions using these tools. In the ubiquitous computing era where artificial intelligence applications are used, social machines act as a powerful framework for understanding and interpreting interactions in social relations, leading to the addition of topics including socio-algorithmic ecosystems or computational social sciences to the social science literature. Moreover, researchers have largely used it to analyze interactions between people and model different levels of communication. On a more specific note, social machines can be used as a framework for policy-making in the field of communication and its relevant technologies. The present study provided a five-point framework for classifying influence processes in socio-algorithmic ecosystems and examined several aspects of social machines from a cybernetic perspective. For this purpose, the factors affecting the concept of social machines were extracted from different sources using an analytical-inferential method and then analyzed and combined. Next, a conceptual model was defined as a framework for structurally evaluating social machines according to the findings. Moreover, the interactions between people and algorithms were formed and categorized through the understanding of social machines according to cybernetics research. Case studies were used to explain how people and algorithms interact in online social networks and algorithmic decision-making systems and describe how this framework can guide scientists in further research and help managers in policy-making.
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References
Luhmann، Niklas. 1999. «Die gesellschaft der gesellschaft». Tijdschrift Voor Filosofie 61 (2).
McLuhan، H. M.، و Karl W. Deutsch. 1965. «The Nerves of Government: Models of Political Communication and Control». The University of Toronto Law Journal 16 (1): 226. https://doi.org/825125/10.2307.
Khalili, Azizollah, Aliasghar Pourezzat, and Mohammadhassan Jafari."The application of the "Inferential-analytical" method in management research". Islam and Management Research. 16 (7): 93-12
Ahlers, Dirk, Patrick Driscoll, Erica Löfström, John Krogstie, and Annemie Wyckmans. 2016. “Understanding Smart Cities as Social Machines.” In , 759-64. ACM Press. https://doi.org/10.1145/2872518.2890594.
Ajunwa, Ifeoma, Sorelle Friedler, Carlos E. Scheidegger, and Suresh Venkatasubramanian. 2016. “Hiring by algorithm: predicting and preventing disparate impact.” Available at SSRN 2746078.
Ashby, W. Ross. 1957. “An introduction to cybernetics.”
Bakshy, Eytan, Solomon Messing, and Lada A. Adamic. 2015. “Exposure to ideologically diverse news and opinion on Facebook.” Science 348 (6239): 1130-32.
Barberá, Pablo, John T. Jost, Jonathan Nagler, Joshua A. Tucker, and Richard Bonneau. 2015. “Tweeting from left to right: Is online political communication more than an echo chamber?” Psychological science 26 (10): 1531-42.
Barocas, Solon, Moritz Hardt, and Arvind Narayanan. 2017. “Fairness in machine learning.” Nips tutorial 1: 2.
Bateson, Gregory. 1972. “A theory of play and fantasy.” Semiotics: An Introductory Anthology, 131-44.
Beer, David. 2017. The social power of algorithms. Vol. 20. Taylor & Francis.
Bennett, W. Lance. 2012. “The personalization of politics: Political identity, social media, and changing patterns of participation.” The annals of the American academy of political and social science 644 (1): 20-39.
Benyon, David, Turner Phil, and Susan Turner. 2010. Designing interactive systems: A comprehensive guide to HCI and interaction design. Vol. 2. Addison Wesley Harlow.
Berners-Lee, Tim. 1999. Weaving the Web: The original design and ultimate destiny of the World Wide Web by its inventor. Harper San Francisco.
Bird, Sarah, Krishnaram Kenthapadi, Emre Kiciman, and Margaret Mitchell. 2019. “Fairness-aware machine learning: Practical challenges and lessons learned.” In Proceedings of the twelfth ACM international conference on web search and data mining, 834-35.
Bolukbasi, Tolga, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, and Adam T. Kalai. 2016. “Man is to computer programmer as woman is to homemaker? debiasing word embeddings.” Advances in neural information processing systems 29.
Bozdag, Engin. 2013. “Bias in algorithmic filtering and personalization.” Ethics and information technology 15 (3): 209-27.
Buntain, Cody, Richard Bonneau, Jonathan Nagler, and Joshua A. Tucker. 2021. “YouTube recommendations and effects on sharing across online social platforms.” Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1): 1-26.
Buolamwini, Joy, and Timnit Gebru. 2018. “Gender shades: Intersectional accuracy disparities in commercial gender classification.” In Conference on fairness, accountability and transparency, 77-91. PMLR.
Burégio, Vanilson, Silvio Meira, and Nelson Rosa. 2013. “Social machines: A unified paradigm to describe social web-oriented systems.” In Proceedings of the 22nd international conference on World Wide Web, 885-90.
Chouldechova, Alexandra, and Aaron Roth. 2018. “The frontiers of fairness in machine learning.” arXiv preprint arXiv:1810.08810.
Cristianini, Nello, and Teresa Scantamburlo. 2020. “On social machines for algorithmic regulation.” AI & SOCIETY 35 (3): 645-62.
Dalton, Craig M., Linnet Taylor, and Jim Thatcher. 2016. “Critical data studies: A dialog on data and space.” Big Data & Society 3 (1): 2053951716648346.
De Roure, David, Clare Hooper, Kevin Page, Ségolène Tarte, and Pip Willcox. 2015. “Observing social machines part 2: How to observe?” In Proceedings of the ACM Web Science Conference, 1-5.
De Saussure, Ferdinand. 2011. Course in general linguistics. Columbia University Press.
Del Vicario, Michela, Alessandro Bessi, Fabiana Zollo, Fabio Petroni, Antonio Scala, Guido Caldarelli, H. Eugene Stanley, and Walter Quattrociocchi. 2016. “The spreading of misinformation online.” Proceedings of the National Academy of Sciences 113 (3): 554-59.
Dressel, Julia, and Hany Farid. 2018. “The accuracy, fairness, and limits of predicting recidivism.” Science advances 4 (1): eaao5580.
Effing, Robin, Jos van Hillegersberg, and Theo Huibers. 2011. “Social media and political participation: are Facebook, Twitter and YouTube democratizing our political systems?” In International conference on electronic participation, 25-35. Springer.
Endres, Kyle. 2016. “The accuracy of microtargeted policy positions.” PS: Political Science & Politics 49 (4): 771-74.
Engelmann, Severin, Jens Grossklags, and Orestis Papakyriakopoulos. 2018. “A democracy called Facebook? Participation as a privacy strategy on social media.” In Annual Privacy Forum, 91-108. Springer.
Ensign, Danielle, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian. 2018. “Runaway feedback loops in predictive policing.” In Conference on Fairness, Accountability and Transparency, 160-71. PMLR.
Erickson, Bradley J., Panagiotis Korfiatis, Zeynettin Akkus, and Timothy L. Kline. 2017. “Machine learning for medical imaging.” Radiographics 37 (2): 505.
Faris, Robert, Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017. “Partisanship, propaganda, and disinformation: Online media and the 2016 US presidential election.” Berkman Klein Center Research Publication 6.
Ferrara, Emilio, Onur Varol, Clayton Davis, Filippo Menczer, and Alessandro Flammini. 2016. “The rise of social bots.” Communications of the ACM 59 (7): 96-104.
Gorham, Ashley E. 2020. “Anonymous’s Glory.” International Journal of Communication 14: 19.
Gustafsson, Nils. 2012. “The subtle nature of Facebook politics: Swedish social network site users and political participation.” New Media & Society 14 (7): 1111-27.
Hendler, James A., and Alice M. Mulvehill. 2016. Social machines: The coming collision of artificial intelligence, social networking, and humanity. New York: Apress.
Hendler, Jim, and Tim Berners-Lee. 2010. “From the Semantic Web to social machines: A research challenge for AI on the World Wide Web.” Artificial intelligence 174 (2): 156-61.
Hersh, Eitan D. 2015. Hacking the electorate: How campaigns perceive voters. Cambridge University Press.
Iliadis, Andrew, and Federica Russo. 2016. “Critical data studies: An introduction.” Big Data & Society 3 (2): 2053951716674238.
Just, Natascha, and Michael Latzer. 2017. “Governance by algorithms: reality construction by algorithmic selection on the Internet.” Media, culture & society 39 (2): 238-58.
King, Rochelle, Elizabeth F. Churchill, and Caitlin Tan. 2017. Designing with data: Improving the user experience with A/B testing. O’Reilly Media, Inc.
Kreiss, Daniel. 2016. Prototype politics: Technology-intensive campaigning and the data of democracy. Oxford University Press.
Kruikemeier, Sanne, Minem Sezgin, and Sophie C. Boerman. 2016. “Political microtargeting: relationship between personalized advertising on Facebook and voters’ responses.” Cyberpsychology, Behavior, and Social Networking 19 (6): 367-72.
Larus, James, Chris Hankin, Siri Granum Carson, Markus Christen, Silvia Crafa, Oliver Grau, Claude Kirchner, Bran Knowles, Andrew McGettrick, and Damian Andrew Tamburri. 2018. When computers decide: European recommendations on machine-learned automated decision making. ACM.
Latour, Bruno. 2005a. An introduction to actor-network-theory. Reassembling the Social. Oxford University Press Nova York.
———. 2005b. Reassembling the social: An introduction to actor-network-theory. Clarendon lectures in management studies. Oxford ; New York: Oxford University Press.
Lazer, David. 2015. “The rise of the social algorithm.” Science 348 (6239): 1090-91.
Leskovec, Jure, Daniel Huttenlocher, and Jon Kleinberg. 2010. “Governance in social media: A case study of the Wikipedia promotion process.” In Fourth international AAAI conference on weblogs and social media.
Martin, Ursula, and Alison Pease. 2013. “Mathematical practice, crowdsourcing, and social machines.” In International Conference on Intelligent Computer Mathematics, 98-119. Springer.
Mead, Margaret. 1968. Cybernetics of cybernetics. éditeur non identifié.
Mehrabi, Ninareh, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021. “A survey on bias and fairness in machine learning.” ACM Computing Surveys (CSUR) 54 (6): 1-35.
Meira, Silvio RL, Vanilson AA Buregio, Leandro M. Nascimento, Elaine Figueiredo, Misael Neto, Bruno Encarnação, and Vinícius Cardoso Garcia. 2011. “The emerging web of social machines.” In 2011 IEEE 35th Annual Computer Software and Applications Conference, 26-27. IEEE.
Mol, Annemarie. 2010. “Actor-network theory: Sensitive terms and enduring tensions.” Kölner Zeitschrift für Soziologie und Sozialpsychologie 50 (1): 253-69.
Mosier, Kathleen L., and Linda J. Skitka. 2018. “Human decision makers and automated decision aids: Made for each other?” In Automation and human performance: Theory and applications, 201-20. CRC Press.
Murray-Rust, Dave, Alan Davoust, Petros Papapanagiotou, Areti Manataki, Max Van Kleek, Nigel Shadbolt, and Dave Robertson. 2018. “Towards executable representations of social machines.” In International conference on theory and application of diagrams, 765-69. Springer.
Norman, Donald A., and Pieter Jan Stappers. 2015. “DesignX: complex sociotechnical systems.” She Ji: The Journal of Design, Economics, and Innovation 1 (2): 83-106.
Novikov, D. A. 2016. “Cybernetics: From Past to Future.” книга.
Palermos, Spyridon Orestis. 2017. “Social machines: A philosophical engineering.” Phenomenology and the Cognitive Sciences 16 (5): 953-78.
Papakyriakopoulos, Orestis. 2022a. “Political machines: A framework for studying politics in social machines.” AI & SOCIETY, 1-18.
———. 2022b. “Political machines: A framework for studying politics in social machines.” AI & SOCIETY 37 (1): 113-30.
Papakyriakopoulos, Orestis, Juan Carlos Medina Serrano, and Simon Hegelich. 2020. “The spread of COVID-19 conspiracy theories on social media and the effect of content moderation.” The Harvard Kennedy School (HKS) Misinformation Review 18.
Papapanagiotou, Petros, Alan Davoust, Dave Murray-Rust, Areti Manataki, Max Van Kleek, Nigel Shadbolt, and Dave Robertson. 2018. “Social machines for all.” In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 1208-12.
Pariser, Eli. 2011. The filter bubble: How the new personalized web is changing what we read and how we think. Penguin.
Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, and Matthew O. Jackson. 2019. “Machine behaviour.” Nature 568 (7753): 477-86.
Rainie, Lee, Aaron Smith, Kay Lehman Schlozman, Henry Brady, and Sidney Verba. 2012. “Social media and political engagement.” Pew Internet & American Life Project 19 (1): 2-13.
Ribeiro, Manoel Horta, Raphael Ottoni, Robert West, Virgílio AF Almeida, and Wagner Meira Jr. 2020. “Auditing radicalization pathways on YouTube.” In Proceedings of the 2020 conference on fairness, accountability, and transparency, 131-41.
Rosenblueth, Arturo, Norbert Wiener, and Julian Bigelow. 1943. “Behavior, purpose and teleology.” Philosophy of science 10 (1): 18-24.
Ruesch, Jurgen, Gregory Bateson, Eve C. Pinsker, and Gene Combs. 2017. Communication: The social matrix of psychiatry. Routledge.
Ruppert, Evelyn, Engin Isin, and Didier Bigo. 2017. “Data politics.” Big data & society 4 (2): 2053951717717749.
Schipper, Burkhard C., and Hee Woo. 2018. “Political awareness, microtargeting of voters, and negative electoral campaigning.” Microtargeting of Voters, and Negative Electoral Campaigning (September 17, 2018).
Seaver, Nick. 2019. Knowing algorithms. In digitalSTS—A field guide for Science & Technology Studies, Hrsg. Janet Vertsi und David Ribes, 412–422. Princeton: Princeton University Press.
Selbst, Andrew D., Danah Boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, and Janet Vertesi. 2019. “Fairness and abstraction in sociotechnical systems.” In Proceedings of the conference on fairness, accountability, and transparency, 59-68.
Shadbolt, Nigel, Kieron O’Hara, David De Roure, and Wendy Hall. 2019. The Theory and Practice of Social Machines. Lecture Notes in Social Networks. Cham: Springer International Publishing.
Shahrezaye, Morteza, Orestis Papakyriakopoulos, Juan Carlos Medina Serrano, and Simon Hegelich. 2019. “Measuring the ease of communication in bipartite social endorsement networks: A proxy to study the dynamics of political polarization.” In Proceedings of the 10th International Conference on Social Media and Society, 158-65.
Shneiderman, Ben, Catherine Plaisant, Maxine S. Cohen, Steven Jacobs, Niklas Elmqvist, and Nicholas Diakopoulos. 2016. Designing the user interface: strategies for effective human-computer interaction. Pearson.
Smart, Paul, Elena Simperl, and Nigel Shadbolt. 2014. “A taxonomic framework for social machines.” In Social collective intelligence, 51-85. Springer.
Stieglitz, Stefan, and Linh Dang-Xuan. 2013. “Social media and political communication: A social media analytics framework.” Social network analysis and mining 3 (4): 1277-91.
Taylor, Linnet. 2017. “What is data justice? The case for connecting digital rights and freedoms globally.” Big Data & Society 4 (2): 2053951717736335.
Tufekci, Zeynep, and Christopher Wilson. 2012. “Social media and the decision to participate in political protest: Observations from Tahrir Square.” Journal of communication 62 (2): 363-79.
Von Foerster, Heinz. 2007. Understanding understanding: Essays on cybernetics and cognition. Springer Science & Business Media.
Vosoughi, Soroush, Deb Roy, and Sinan Aral. 2018. “The spread of true and false news online.” science 359 (6380): 1146-51.
Wachter, Sandra, Brent Mittelstadt, and Chris Russell. 2017. “Counterfactual explanations without opening the black box: Automated decisions and the GDPR.” Harv. JL & Tech. 31: 841.
Wiener, Norbert. 1961. “Cybernetics: Control and Communication in the Animal and the Machine--2nd.”
Yang, JungAe. 2016. “Effects of popularity-based news recommendations (‘most-viewed’) on users’ exposure to online news.” Media Psychology 19 (2): 243-71.
Zuckerman, E. 2014. New media, new civics? Policy & Internet, 6 (2), 151–168.