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References

Published online by Cambridge University Press:  03 February 2022

Rolf K. Baltzersen
Affiliation:
Ostfold University

Summary

Type
Chapter
Information
Cultural-Historical Perspectives on Collective Intelligence
Patterns in Problem Solving and Innovation
, pp. 419 - 441
Publisher: Cambridge University Press
Print publication year: 2022
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/cclicenses/

References

Abelson, R. (2020, June 16). Why people are still avoiding the doctor (it’s not the virus). New York Times. Retrieved from www.nytimes.com/2020/06/16/health/coronavirus-insurance-healthcare.htmlGoogle Scholar
Abramovich, S., & McBride, M. (2018). Open education resources and perceptions of financial value. The Internet and Higher Education, 39, 3338.CrossRefGoogle Scholar
Aggarwal, I., Woolley, A. W., Chabris, C. F., & Malone, T. W. (2015). Cognitive diversity, collective intelligence, and learning in teams. In Proceedings of Collective Intelligence 2015, Santa Clara, CA.Google Scholar
Agogué, M., Berthet, E., Fredberg, T., Le Masson, P., Segrestin, B., Stoetzel, M., … Yström, A. (2017). Explicating the role of innovation intermediaries in the “unknown”: A contingency approach. Journal of Strategy and Management, 10(1), 1939.Google Scholar
Agur, C., & Frisch, N. (2019). Digital disobedience and the limits of persuasion: Social media activism in Hong Kong’s 2014 Umbrella Movement. Social Media + Society, 5(1). doi.org/10.1177/2056305119827002Google Scholar
Al Abri, M., & Dabbagh, N. (2018). Open educational resources: A literature review. Journal of Mason Graduate Research, 6(1), 83104.Google Scholar
Alag, S. (2009). Collective intelligence in action. New York: Manning.Google Scholar
Aleta, A., Martín-Corral, D., Pastore y Piontti, A., Ajelli, M., Litvinova, M., Chinazzi, M., … Moreno, Y. (2020). Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19. Nature Human Behaviour, 4(9), 964971. doi: 10.1038/s41562-020-0931-9.Google Scholar
Alexander, B. (2006). Web 2.0: A new wave of innovation for teaching and learning? Educause Review, 41(2), 32.Google Scholar
Alford, J., & Head, B. W. (2017). Wicked and less wicked problems: A typology and a contingency framework. Policy and Society, 36(3), 397–413. doi: 10.1080/14494035.2017.1361634Google Scholar
Algan, Y., Benkler, Y., Morell, M. F., & Hergueux, J. (2013). Cooperation in a peer production economy experimental evidence from Wikipedia [Paper presentation]. Workshop on Information Systems and Economics, Milan, Italy.Google Scholar
Alinejad, M. (n.d.) My stealthy freedom. Retrieved from www.facebook.com/StealthyFreedom/Google Scholar
Alizadeh, T. (2018). Crowdsourced smart cities versus corporate smart cities. studies. Paper presented at the the 4th PlanoCosmo International Conference, Bandung, Indonesia.CrossRefGoogle Scholar
Alizadeh, T., Sarkar, S., & Burgoyne, S. (2019). Capturing citizen voice online: Enabling smart participatory local government. Cities, 95, 102400.Google Scholar
Allen, N. (2018). $1 Billion in savings through open educational resources. Retrieved from sparcopen.org/news/2018/1-billion-in-savings-through-open-educational-resources/Google Scholar
Anderson, E. (2006). The epistemology of democracy. Episteme: A Journal of Social Epistemology, 3(1), 822.CrossRefGoogle Scholar
Argyris, C., & Schön, D. A. (1997). Organizational learning: A theory of action perspective. Reis, (77 /78), 345348.Google Scholar
Arnold, P. (2019a). Stunned by the breadth of expertise at an Idea Rally. Retrieved from www.ideaconnection.com/problem-solver-interviews/00405-Stunned-by-the-Breadth-of-Expertise-at-an-Idea-Rally.htmlGoogle Scholar
Arnold, P. (2019b). When you work in a team you truly think out of the box. Retrieved from www.ideaconnection.com/problem-solver-interviews/00391-When-You-Work-in-a-Team-You-Truly-Think-Out-of-the-Bo.htmlGoogle Scholar
Arnold, P. (2019c). Working on challenges is a “mind-opening experience.” Retrieved from www.ideaconnection.com/problem-solver-interviews/00400-Working-on-Challenges-is-a-Mind-Opening-Experience.htmlGoogle Scholar
Atanasov, P., Rescober, P., Stone, E., Swift, S. A., Servan-Schreiber, E., Tetlock, P., … Mellers, B. (2017). Distilling the wisdom of crowds: Prediction markets vs. prediction polls. Management Science, 63(3), 691706.CrossRefGoogle Scholar
Aulinger, A., & Miller, L. (2014). Collective intelligence versus team intelligence [Paper presentation]. Proceedings from Collective Intelligence 2014, Cambridge, MA.Google Scholar
Bailey, I., Myatt, J. P., & Wilson, A. M. (2013). Group hunting within the Carnivora: Physiological, cognitive and environmental influences on strategy and cooperation. Behavioral Ecology and Sociobiology, 67(1), 117.CrossRefGoogle Scholar
Baltzersen, R. K. (2013). The importance of metacommunication in supervision processes in higher education. International Journal of Higher Education, 2(2), 128140. doi: dx.doi.org10.5430/ijhe.v2n2p128Google Scholar
Baltzersen, R. K. (2017). Collective knowledge advancement as a pedagogical practice in teacher education. An explorative case study of student group work with Wiki assignments in the interplay between an offline and a global online setting (PhD dissertation, University of Oslo, Faculty of Educational Studies, Oslo).Google Scholar
Baltzersen, R. K. (2020). Creative problem solving in online innovation contests: What motivates top solvers to participate in the new collaborative economy? In Leon, R.-D. (Ed.), Strategies for Business Sustainability in a Collaborative Economy (pp. 239–264). Hershey, PA: IGI Global.Google Scholar
Baltzersen, R. K., & Tolsby, H. L. (2008). En digital mappetenkning innenfor det wikipedianske klasserommet?: noen refleksjoner rundt hva som kjennetegner et radikalt gjennomsiktig læringsmiljø. In M. Allern & K. S. Engelsen (Eds.), Mapper i digitale læringskontekstar: erfaringar og perspektiv frå høgre utdanning (pp. 171–190). Tromsø: Norgesuniversitetet.Google Scholar
Baron-Cohen, S., Wheelwright, S., Hill, J., Raste, Y., & Plumb, I. (2001). The “Reading the Mind in the Eyes” Test revised version: A study with normal adults, and adults with Asperger syndrome or high-functioning autism. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 42(2), 241251.CrossRefGoogle ScholarPubMed
Barry, D. S., Marzouk, F., Chulak‐Oglu, K., Bennett, D., Tierney, P., & O’Keeffe, G. W. (2016). Anatomy education for the YouTube generation. Anatomical Sciences Education, 9(1), 9096.CrossRefGoogle ScholarPubMed
Bates, T. C., & Gupta, S. (2017). Smart groups of smart people: Evidence for IQ as the origin of collective intelligence in the performance of human groups. Intelligence, 60, 4656.CrossRefGoogle Scholar
Bateson, G. (1972). Steps to an ecology of mind. New York: Ballantine Books.Google Scholar
BBC. (2020, November 10). Covid: Mass testing for 67 local areas in England. BBC News. Retrieved from www.bbc.com/news/uk-54885657Google Scholar
Beck, J., Neupane, B., & Carroll, J. M. (2018). Managing Conflict in Online Debate Communities: Foregrounding Moderators’ Beliefs and Values on Kialo. SocArXiv (Preprint server for the social sciences).Google Scholar
Beck, K. (2000). Extreme programming explained: Embrace change: Boston, MA: Addison-Wesley Professional.Google Scholar
Becker, J., Brackbill, D., & Centola, D. (2017). Network dynamics of social influence in the wisdom of crowds. Proceedings of the National Academy of Sciences, 114(26), E5070E5076.CrossRefGoogle ScholarPubMed
Bellavista, P., Corradi, A., Foschini, L., Gomes, E. H., Lamberti, E., Klein, G., … Torello, M. (2020). Virtual environments as enablers of civic awareness and engagement. International Journal of Urban Planning and Smart Cities (IJUPSC), 1(1), 2234.Google Scholar
Bellavista, P., Corradi, A., Foschini, L., Noor, A., & Zanni, A. (2018). Participact for smart and connected communities: Exploiting social networks with profile extension in crowdsensing systems. Paper presented at the Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking.Google Scholar
Beni, G., & Wang, J. (1993). Swarm intelligence in cellular robotic systems. In Dario, P., Sandini, G., & Aebischer, P. (Eds.), Robots and biological systems: Towards a new bionics? (Vol. 102, pp. 703712): Springer Berlin Heidelberg.CrossRefGoogle Scholar
Benkler, Y. (2006). The wealth of networks: How social production transforms markets and freedom. New Haven, CT: Yale University Press.Google Scholar
Benkler, Y., Shaw, A., & Hill, B. M. (2015). Peer production: A form of collective intelligence. In Malone, T. & Bernstein, M. (Eds.), Handbook of Collective Intelligence (Vol. 175). Cambridge, MA: MIT Press.Google Scholar
Berdahl, A. M., Kao, A. B., Flack, A., Westley, P. A., Codling, E. A., Couzin, I. D., … Biro, D. (2018). Collective animal navigation and migratory culture: from theoretical models to empirical evidence. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1746), 20170009.Google Scholar
Berdahl, A. M., Torney, C. J., Ioannou, C. C., Faria, J. J., & Couzin, I. D. (2013). Emergent sensing of complex environments by mobile animal groups. Science, 339(6119), 574576.CrossRefGoogle ScholarPubMed
Bhuvana, N., & Aram, I. A. (2019). Facebook and Whatsapp as disaster management tools during the Chennai (India) floods of 2015. International Journal of Disaster Risk Reduction, 39, 101135.CrossRefGoogle Scholar
Bickerton, C. J., & Accetti, C. I. (2018). “Techno-populism” as a new party family: the case of the Five Star Movement and Podemos. Contemporary Italian Politics, 10(2), 132150.Google Scholar
Binet, A., Simon, T., & Kite, E. S. (1916). The development of intelligence in children: (The Binet-Simon Scale). New Jersey: Publications of the Training school at Vineland, Department of Research.CrossRefGoogle Scholar
Black, R. W. (2008). Adolescents and online fan fiction (Vol. 23): Peter Lang.Google Scholar
Blum, C., & Zuber, C. I. (2016). Liquid democracy: Potentials, problems, and perspectives. Journal of Political Philosophy, 24(2), 162182.Google Scholar
Bogers, M., Chesbrough, H., & Moedas, C. (2018). Open innovation: Research, practices, and policies. California Management Review, 60(2), 516.Google Scholar
Bonabeau, E. (2009). Decisions 2.0: The power of collective intelligence. MIT Sloan Management Review, 50(2), 4552.Google Scholar
Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. New York: Oxford University Press.Google Scholar
Bousquet, C. A., Sumpter, D. J., & Manser, M. B. (2011). Moving calls: A vocal mechanism underlying quorum decisions in cohesive groups. Proceedings of the Royal Society B: Biological Sciences, 278(1711), 14821488.Google Scholar
Brabham, D. C. (2013). Crowdsourcing. Cambridge, MA: MIT Press.Google Scholar
Breetzke, T., & Flowerday, S. V. (2016). The usability of IVRs for smart city crowdsourcing in developing cities. The Electronic Journal of Information Systems in Developing Countries, 73(1), 114.Google Scholar
Brennen, J. S., Simon, F., Howard, P. N., & Nielsen, R. K. (2020). Types, sources, and claims of COVID-19 misinformation. Reuters Institute, 7, 3.1.Google Scholar
Briscoe, G., & Mulligan, C. (2014). Digital Innovation: The Hackathon Phenomenon (CreativeWorks London Working Paper No. 6). London, England: Queen Mary University of London.Google Scholar
Bruns, A. (2017). Echo chamber? What echo chamber? Reviewing the evidence. Paper presented at the 6th Biennial Future of Journalism Conference (FOJ17).Google Scholar
Buckley, P., & O’Brien, F. (2017). The effect of malicious manipulations on prediction market accuracy. Information Systems Frontiers, 19(3), 611623. doi:10.1007/s10796-015-9617-7CrossRefGoogle Scholar
Bullen, V., & Price, D. (2015). DebateGraph: A new way to address the complexity of obesity. British Journal of Obesity, 1, 5459.Google Scholar
Burgess, J., & Green, J. (2018). YouTube: Online video and participatory culture (2nd ed.). Cambridge: Polity Press.Google Scholar
Callaway, E. (2017, June 7). Oldest Homo sapiens fossil claim rewrites our species’ history. Nature News. Retrieved from www.nature.com/news/oldest-homo-sapiens-fossil-claim-rewrites-our-species-history-1.22114Google Scholar
Carleton, A., Musselman, C. A., Rust, A., Suiter, G. K., & Thorndike-Breeze, R. (2017). Working wikipedia: A year of meaningful collaboration. Double Helix, 5.Google Scholar
Carugati, F., Hadfield, G. K., & Weingast, B. R. (2015). Building legal order in ancient Athens. Journal of Legal Analysis, 7(2), 291324.Google Scholar
Carugati, F. (2015). In law we trust (each other): Legal institutions, democratic stability and economic development in classical Athens. (PhD dissertation, Stanford, CA: Stanford University).Google Scholar
Castells, M. (2010). The rise of the network society (2nd ed.). Chichester, West Sussex: Wiley-Blackwell.Google Scholar
Ceci, S. J. W., Wendy, M. (2020 , October 25). The psychology of fact-checking. Scientific American. Retrieved from www.scientificamerican.com/article/the-psychology-of-fact-checking1Google Scholar
Cesnulaityte, I. (2020). How Ostbelgien became a trailblazer in deliberative democracy. Participo series. Retrieved from medium.com/participo/how-ostbelgien-became-a-trailblazer-in-deliberative-democracy-62c3bb1fa560Google Scholar
Chan, A. K. M., Nickson, C. P., Rudolph, J. W., Lee, A., & Joynt, G. M. (2020). Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic. Anaesthesia, 75(12), 15791582. doi:10.1111/anae.15057CrossRefGoogle ScholarPubMed
Chesbrough, H. (2017). The future of open innovation. Research-Technology Management, 60(1), 3538.Google Scholar
Chilton, S. (2009). Crowdsourcing is radically changing the geodata landscape: Case study of OpenStreetMap. Paper presented at the Proceedings of the 24th International Cartographic Conference, Santiago de Chile.Google Scholar
Chwalisz, C. (2019, November 26). A new wave of deliberative democracy. Carnegie Europe. Retrieved from carnegieeurope.eu/2019/11/26/new-wave-of-deliberative-democracy-pub-80422Google Scholar
CoLab, C. (2020). About the project. Retrieved from www.climatecolab.org/page/aboutGoogle Scholar
Colfer, B. (2020). Herd‐immunity across intangible borders: Public policy responses to COVID‐19 in Ireland and the UK. European Policy Analysis, 6(2), 203–225.Google Scholar
Conard, N. J., Serangeli, J., Böhner, U., Starkovich, B. M., Miller, C. E., Urban, B., & Van Kolfschoten, T. (2015). Excavations at Schöningen and paradigm shifts in human evolution. Journal of Human Evolution, 89, 117.CrossRefGoogle ScholarPubMed
Cooper, C. (2016). Citizen science: How ordinary people are changing the face of discovery. London: Duckworth Overlook.Google Scholar
Cooper, S., Khatib, F., Treuille, A., Barbero, J., Lee, J., Beenen, M., … Players, F. (2010). Predicting protein structures with a multiplayer online game. Nature, 466(7307), 756760. doi:10.1038/nature09304Google Scholar
Corne, D. W., Reynolds, A., & Bonabeau, E. (2012). Swarm intelligence. In Rozenberg, G., Bäck, T., & Kok, J. N. (Eds.), Handbook of natural computing (pp. 15991622). Berlin: Springer.Google Scholar
Couzin, I. D. (2018). Synchronization: the key to effective communication in animal collectives. Trends in Cognitive Sciences, 22(10), 844846.Google Scholar
Cox, J. M. (2017). The source of a movement: making the case for social media as an informational source using Black Lives Matter. Ethnic and Racial Studies, 40(11), 18471854.Google Scholar
Credé, M., & Howardson, G. (2017). The structure of group task performance – A second look at “collective intelligence”: Comment on Woolley et al. (2010). Journal of Applied Psychology, 102(10), 1483–1492. doi.org/10.1037/apl0000176Google Scholar
Crowston, K., Mitchell, E., & Østerlund, C. (2018). Coordinating advanced crowd work: extending citizen science. Citizen Science: Theory and Practice, 4(1), 16. doi.org/10.5334/cstp.166CrossRefGoogle Scholar
Czeisler, M. É., Marynak, K., Clarke, K. E., Salah, Z., Shakya, I., Thierry, J. M., … Weaver, M. D. (2020). Delay or avoidance of medical care because of COVID-19–related concerns – United States, June 2020. Morbidity and Mortality Weekly Report, 69(36), 1250.Google Scholar
Dai, X. (2018). Toward a reputation state: The social credit system project of China. Available at SSRN 3193577.Google Scholar
Davis-Stober, C. P., Budescu, D. V., Dana, J., & Broomell, S. B. (2014). When is a crowd wise? Decision, 1(2), 79.Google Scholar
Davis, E. L., Lucas, T. C., Borlase, A., Pollington, T. M., Abbott, S., Ayabina, D., … Medley, G. F. (2020). An imperfect tool: COVID-19 “test & trace” success relies on minimising the impact of false negatives and continuation of physical distancing. MedRxiv (preprint server for health sciences). doi.org/10.1101/2020.06.09.20124008Google Scholar
Delgado, H., Delgado, M., & Hilton III, J. (2019). On the efficacy of open educational resources. The International Review of Research in Open and Distributed Learning, 20(1), 184203.Google Scholar
Deseriis, M. (2017). Direct Parliamentarianism: An Analysis of the Political Values Embedded in Rousseau, the “Operating System” of the Five STAR Movement. Paper presented at the 2017 Conference for E-Democracy and Open Government (CeDEM).CrossRefGoogle Scholar
Devaney, L., Torney, D., Brereton, P., & Coleman, M. (2020). Deepening public engagement on climate change: Lessons from the citizens’ assembly (314). Retrieved from Wexford, Ireland: www.epa.ie/pubs/reports/research/climate/Research_Report_314.pdfGoogle Scholar
Diamond, D. (2020, November 1). ‘A political thing’: How mask mandates became a defining issue in Iowa. Politico. Retrieved from www.politico.com/news/2020/11/01/iowa-mask-mandates-defining-issue-433763Google Scholar
Donald, M. (1991). Origins of the modern mind: Three stages in the evolution of culture and cognition. Cambridge, MA: Harvard University Press.Google Scholar
Dyer, J. R., Ioannou, C. C., Morrell, L. J., Croft, D. P., Couzin, I. D., Waters, D. A., & Krause, J. (2008). Consensus decision making in human crowds. Animal Behaviour, 75(2), 461470.Google Scholar
Eiben, C. B., Siegel, J. B., Bale, J. B., Cooper, S., Khatib, F., Shen, B. W., … Baker, D. (2012). Increased Diels-Alderase activity through backbone remodeling guided by Foldit players. Nature Biotechnology, 30, 190. doi:10.1038/nbt.2109 www.nature.com/articles/nbt.2109#supplementary-informationGoogle Scholar
Eisenstein, E. L. (1980). The printing press as an agent of change. New York: Cambridge University Press.CrossRefGoogle Scholar
Engel, D., Woolley, A. W., Jing, L. X., Chabris, C. F., & Malone, T. W. (2014). Reading the mind in the eyes or reading between the lines? Theory of mind predicts collective intelligence equally well online and face-to-face. PLoS ONE, 9(12), e115212.Google Scholar
Engelmann, S., Chen, M., Fischer, F., Kao, C.-y., & Grossklags, J. (2019). Clear sanctions, vague rewards: how China’s social credit system currently defines “good” and “bad” behavior. Paper presented at the Proceedings of the Conference on Fairness, Accountability, and Transparency.Google Scholar
Ennals, E. (2020, October 31). It’s not just adults, now children are being hit by long-term Covid too. MailOnline. Retrieved from www.dailymail.co.uk/health/article-8900501/Its-not-just-adults-children-hit-long-term-Covid-too.htmlGoogle Scholar
Epstein, R., & Robertson, R. E. (2015). The search engine manipulation effect (SEME) and its possible impact on the outcomes of elections. Proceedings of the National Academy of Sciences, 112(33), E4512E4521.Google Scholar
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological review, 100(3), 363.CrossRefGoogle Scholar
Farrell, D. M., Suiter, J., & Harris, C. (2019). “Systematizing” constitutional deliberation: the 2016–18 citizens’ assembly in Ireland. Irish Political Studies, 34(1), 113123.Google Scholar
Febvre, L., & Martin, H. J. (1976). The coming of the book: The impact of printing 1450–1800. London: Verso.Google Scholar
Fecher, B., & Friesike, S. (2014). Open science: one term, five schools of thought. In Opening science (pp. 1747): Springer.Google Scholar
Feinerman, O., & Korman, A. (2017). Individual versus collective cognition in social insects. Journal of Experimental Biology, 220(1), 7382.Google Scholar
Feldstein, A., Martin, M., Hudson, A., Warren, K., Hilton III, J., & Wiley, D. (2012). Open textbooks and increased student access and outcomes. European Journal of Open, Distance and E-Learning, 15(2). https://old.eurodl.org/?p=archives&year=2012&halfyear=2&article=533.Google Scholar
Fischer, S. R. (2003). History of writing. London, UK: Reaktion books.Google Scholar
Fishkin, J. S. (2018). Democracy when the people are thinking P: Revitalizing our politics through public deliberation. Oxford, UK: Oxford University Press.CrossRefGoogle Scholar
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American psychologist, 34(10), 906.Google Scholar
Flaxman, S., Goel, S., & Rao, J. M. (2016). Filter bubbles, echo chambers, and online news consumption. Public Opinion Quarterly, 80(S1), 298320.Google Scholar
Flick, U. (1998). The psychology of the social. Cambridge: Cambridge University Press.Google Scholar
Foa, R. S., & Mounk, Y. (2016). The danger of deconsolidation: The democratic disconnect. Journal of Democracy, 27(3), 517.Google Scholar
Foa, R. S., & Mounk, Y. (2017). The signs of deconsolidation. Journal of Democracy, 28(1), 515.Google Scholar
Franzoni, C., & Sauermann, H. (2014). Crowd science: The organization of scientific research in open collaborative projects. Research Policy, 43(1), 120.Google Scholar
Fujita, K., Ito, T., & Klein, M. (2017). Enabling large scale deliberation using ideation and negotiation-support agents. Paper presented at the 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).Google Scholar
Gallagher, J. (2020, October 5). ‘Long Covid’: Why are some people not recovering? BBC News. Retrieved from www.bbc.com/news/health-54296223Google Scholar
Galton, F. (1907). Vox populi. Nature, 75, 450451.Google Scholar
Gandini, A. (2016). The reputation economy: Understanding knowledge work in digital society. Basingstoke: Palgrave Macmillan.Google Scholar
Garcia, A. C., & Klein, M. (2017). pBOL: an idea filtering method based on negative multi-voting and Pareto aggregation.CrossRefGoogle Scholar
Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books.Google Scholar
Gastil, J., & Knobloch, K. (2019). Hope for democracy: How citizens can bring reason back into politics. New York: Oxford University Press.Google Scholar
Gee, J. P. (2005). Semiotic social spaces and affinity spaces. In D. Barton & K. Tusting (Eds.), Beyond communities of practice language power and social context (pp. 214–232). Cambridge, UK: Cambridge University Press.Google Scholar
Gergen, K. J. (1985). The social constructionist movement in modern psychology. American Psychologist, 40(3), 266.Google Scholar
Germain, T. (2020). How to record video during a protest. Retrieved from www.consumerreports.org/audio-video/how-to-record-video-during-a-protest/Google Scholar
Germonpré, M., Sablin, M., Khlopachev, G. A., & Grigorieva, G. V. (2008). Possible evidence of mammoth hunting during the Epigravettian at Yudinovo, Russian Plain. Journal of Anthropological Archaeology, 27(4), 475492. doi:doi.org/10.1016/j.jaa.2008.07.003Google Scholar
Gerwin, M. (2018). Citizens’ assemblies: guide to democracy that works. Kraków: Open Plan Foundation, Otwarty Plan.Google Scholar
Ghosh, P. (2017, June 7). ‘First of our kind’ found in Morocco. BBC News. Retrieved from www.bbc.com/news/science-environment-40194150Google Scholar
Giles, J. (2005). Internet encyclopaedias go head to head. Nature, 438(7070), 900901.Google Scholar
Giuggioli, L., Potts, J. R., Rubenstein, D. I., & Levin, S. A. (2013). Stigmergy, collective actions, and animal social spacing. Proceedings of the National Academy of Sciences, 110(42), 1690416909.Google Scholar
Gosch, S., & Stearns, P. (2007). Premodern travel in world history. London, UK: Routledge.Google Scholar
Gowers, T., & Nielsen, M. (2009). Massively collaborative mathematics. Nature, 461(7266), 879.Google Scholar
Graefe, A. (2017). Prediction market performance in the 2016 US presidential election. Foresight: The International Journal of Applied Forecasting (45), 38–42.Google Scholar
Graham, G., Cox, J., Simmons, B., Lintott, C., Masters, K., Greenhill, A., & Holmes, K. (2015). How is success defined and measured in online citizen science: a case study of Zooniverse projects. Computing in Science and Engineering (99), 22.Google Scholar
Graham, T., Bruns, A., Zhu, G., & Campbell, R. (2020). Like a virus: The coordinated spread of Coronavirus disinformation. Retrieved from Manuka, Australia: https://apo.org.au/node/305864Google Scholar
Greenwood, S. (2018). Public space or public sphere? An examination of Facebook as a new space for political talk through online ethnographic study of citizen engagement during a UK general election. (PhD dissertation), Staffordshire University, Staffordshire, England. Retrieved from https://ray.yorksj.ac.uk/id/eprint/4580/Google Scholar
Greenwood, S. (2020, September 25). How British grannies are spreading QAnon conspiracy theory memes on Facebook. The Conversation UK. Retrieved from ray.yorksj.ac.uk/id/eprint/4781/1/how-british-grannies-are-spreading-qanon-conspiracy-theory-memes-on-facebook-145820Google Scholar
Grönlund, K., Herne, K., & Setälä, M. (2015). Does enclave deliberation polarize opinions? Political Behavior, 37(4), 9951020.Google Scholar
Halavais, A. (2018). Search Engine Society (2nd ed.). Cambridge, UK: Polity Press.Google Scholar
Hansen, M. H. (1991). The athenian democracy in the age of demosthenes: Structure, principles, and ideologys. Oxford, UK: Blackwell.Google Scholar
Hansen, M. H. (1999). The athenian democracy in the age of demosthenes: Structure, principles, and ideologys. Norman, Oklahoma: University of Oklahoma Press.Google Scholar
Harari, Y. N. (2014). Sapiens: A brief history of humankind. London, UK: Vintage, Penguin Random House.Google Scholar
Haury, E. W., Antevs, E., & Lance, J. F. (1953). Artifacts with mammoth remains, Naco, Arizona. American Antiquity, 19(1), 124.Google Scholar
Hayek, F. A. (2011). The collected works of friedrich august Hayek: vol. 17: The constitution of liberty: The definitive edition (R. Hamowy, Ed.). London: Routledge.Google Scholar
Hecker, S., Bonney, R., Haklay, M., Hölker, F., Hofer, H., Goebel, C., … Richter, A. (2018). Innovation in citizen science–perspectives on science-policy advances. Citizen Science: Theory and Practice, 3(1), 114.Google Scholar
Heylighen, F. (2011). Conceptions of a Global Brain: an historical review. Evolution: Cosmic, Biological, and Social, eds. Grinin, LE, Carneiro, RL, Korotayev AV, Spier F, 274–289.Google Scholar
Heylighen, F. (2013). Self-organization in communicating groups: The emergence of coordination, shared references and collective intelligence. In Massip-Bonet, À. & Bastardas-Boada, A. (Eds.), Complexity Perspectives on Language, Communication and Society (pp. 117149). Berlin: Springer Heidelberg.Google Scholar
Heylighen, F. (2015). Stigmergy as a Universal Coordination Mechanism: components, varieties and applications. In T. Lewis & L. Marsh (Eds.), Human Stigmergy: Theoretical Developments and New Applications (pp. 1–43). New York: Springer.Google Scholar
Heylighen, F. (2017). Towards an intelligent network for matching offer and demand: From the sharing economy to the global brain. Technological Forecasting and Social Change, 114, 7485.Google Scholar
Hilton III, J., Larsen, R., Wiley, D., & Fischer, L. (2019). Substituting open educational resources for commercial curriculum materials: Effects on student mathematics achievement in elementary schools. Research in Mathematics Education, 1–17.Google Scholar
Himanen, P. (2001). The hackerh ethic. New York: Random House.Google Scholar
Holler, R. (2017). Coalitional hunting. In K. Shackelford & V. A. Weekes-Shackelford (Eds.), Encyclopedia of Evolutionary Psychological Science. Berlin, Germany: Springer.Google Scholar
Hong, L., & Page, S. E. (2004). Groups of diverse problem solvers can outperform groups of high-ability problem solvers. Proceedings of the National Academy of Sciences of the United States of America, 101(46), 1638516389. doi:10.1073/pnas.0403723101Google Scholar
Hong, S., & Kim, N. (2018). Will the internet promote democracy? Search engines, concentration of online news readership, and e-democracy. Journal of Information Technology & Politics, 15(4), 388399. doi:10.1080/19331681.2018.1534703Google Scholar
Horowitz, S., Koepnick, B., Martin, R., Tymieniecki, A., Winburn, A. A., Cooper, S., … Hailu, T. T. (2016). Determining crystal structures through crowdsourcing and coursework. Nature Communications, 7(1), 111.Google Scholar
Horton, C. (2018, August 21). The simple but ingenious system Taiwan uses to crowdsource its laws. MIT Technology Review. Retrieved from www.technologyreview.com/2018/08/21/240284/the-simple-but-ingenious-system-taiwan-uses-to-crowdsource-its-laws/Google Scholar
Hossain, M. (2018). Motivations, challenges, and opportunities of successful solvers on an innovation intermediary platform. Technological Forecasting and Social Change, 128, 6773.Google Scholar
Hsu, C.-C., & Sandford, B. A. (2007). The Delphi technique: making sense of consensus. Practical Assessment, Research, and Evaluation, 12(1), 10.Google Scholar
Humanitarian OSM Team. (2020). Retrieved from wiki.openstreetmap.org/wiki/Humanitarian_OSM_TeamGoogle Scholar
IdeaConnection. (2019a). Become a SOLVER. Retrieved from www.ideaconnection.com/solve-problems.htmlGoogle Scholar
IdeaConnection. (2019b). Confidential. Retrieved from www.ideaconnection.com/innovation.htmlGoogle Scholar
IdeaConnection. (2019c). Idea Ralley. Retrieved from www.ideaconnection.com/idea-rally/Google Scholar
IdeaConnection. (2019d). Learning from teammates and by applying knowledge.Google Scholar
IdeaConnection. (2019e). Problem solver FAQ. Retrieved from www.ideaconnection.com/problem-solver-faq.htmlGoogle Scholar
Initiative, T. D. (2020). Test, trace, isolate. No. 2. Retrieved from rs-delve.github.io/reports/2020/05/27/test-trace-isolate.htmlGoogle Scholar
Innocent, M., Gabriel, P., & Divard, R. (2017). Understanding the participation experience of the top contributors in a crowdsourcing of inventive activities context. Recherche et Applications en Marketing (English Edition), 32(1), 220.Google Scholar
Innocentive. (2019a). Diverse perspectives and effective problem solving. Retrieved from www.innocentive.com/offering-overview/#innocentive-at-work-sectionGoogle Scholar
Innocentive. (2019b). Polio eradication: Addressing anti-vaccination propaganda on social media in Pakistan. Retrieved from www.innocentive.com/ar/challenge/9934241Google Scholar
Innocentive. (2019c). Premium challenge types. Retrieved from www.innocentive.com/challenge-center/premium-challenge-types/Google Scholar
Intelligence, A. C. (2020, June 18). ACM collective intelligence 2020. Virtual conference. Retrieved from ci2020.weebly.com/Google Scholar
Ioannou, C. C. (2017). Swarm intelligence in fish? The difficulty in demonstrating distributed and self-organised collective intelligence in (some) animal groups. Behavioural Processes, 141, 141151.Google Scholar
Ismagilova, E., Hughes, L., Dwivedi, Y. K., & Raman, K. R. (2019). Smart cities: Advances in research – An information systems perspective. International Journal of Information Management, 47, 88100.Google Scholar
Jefferies, S., French, N., Gilkison, C., Graham, G., Hope, V., Marshall, J., … Paine, S. (2020). COVID-19 in New Zealand and the impact of the national response: a descriptive epidemiological study. The Lancet Public Health, 5(11), e612-e623. doi.org/10.1016/S2468-2667(20)30225-5Google Scholar
Jenkins, H. (2009). Confronting the challenges of participatory culture: Media education for the 21st century. Cambridge, MA: MIT Press.Google Scholar
Jeppesen, L. B., & Lakhani, K. R. (2010). Marginality and problem-solving effectiveness in broadcast search. Organization Science, 21(5), 10161033.Google Scholar
Jhangiani, R. S., Dastur, F. N., Le Grand, R., & Penner, K. (2018). As good or better than commercial textbooks: Students’ perceptions and outcomes from using open digital and open print textbooks. Canadian Journal for the Scholarship of Teaching and Learning, 9(1), n1.CrossRefGoogle Scholar
Jolles, J. W., King, A. J., & Killen, S. S. (2020). The role of individual heterogeneity in collective animal behaviour. Trends in Ecology & Evolution, 35(3), 278291.Google Scholar
Jorm, A. F. (2015). Using the Delphi expert consensus method in mental health research. Australian & New Zealand Journal of Psychiatry, 49(10), 887897.Google Scholar
Kankanamge, N., Yigitcanlar, T., Goonetilleke, A., & Kamruzzaman, M. (2019). Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature. International Journal of Disaster Risk Reduction, 35, 101097.Google Scholar
Kendall, M., Milsom, L., Abeler-Dorner, L., Wymant, C., Ferretti, L., Briers, M., … Fraser, C. (2020). COVID-19 incidence and R decreased on the Isle of Wight after the launch of the Test, Trace, Isolate programme. MedRxiv (preprint posted online on July 14, 2020).Google Scholar
Khatib, F., DiMaio, F., Foldit Contenders, G., Foldit Void Crushers, G., Cooper, S., Kazmierczyk, M., … Baker, D. (2011). Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nature Structural & Molecular Biology, 18(10), 11751177. doi:10.1038/nsmb.2119CrossRefGoogle ScholarPubMed
Kim, M. S. (2020, March 6). South Korea is watching quarantined citizens with a smartphone app. MIT Technology Review. Retrieved from www.technologyreview.com/2020/03/06/905459/coronavirus-south-korea-smartphone-app-quarantine/Google Scholar
Kim, Y. J., Engel, D., Woolley, A. W., Lin, J. Y.-T., McArthur, N., & Malone, T. W. (2017). What makes a strong team? using collective intelligence to predict team performance in league of legends. Paper presented at the Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing.Google Scholar
Kim, Y. J., Gupta, P., Glikson, E., Woolley, A., & Malone, T. (2018). Enhancing collective intelligence of human-machine teams. Paper presented at the Proceedings for 2018 ACM Collective Intelligence Conference, University of Zürich, Switzerland.Google Scholar
Kittur, A., & Kraut, R. E. (2008). Harnessing the wisdom of crowds in Wikipedia: quality through coordination. Paper presented at the Proceedings of the 2008 ACM conference on Computer-Supported Cooperative Work.Google Scholar
Klein, M. (2012). Enabling large-scale deliberation using attention-mediation metrics. Computer Supported Cooperative Work (CSCW), 21(4), 449473. doi:10.1007/s10606-012-9156-4Google Scholar
Klein, M. (2017). Towards Crowd-Scale Deliberation. Retrieved from https://ssrn.com/abstract=2987624Google Scholar
Klobas, J. E., McGill, T. J., Moghavvemi, S., & Paramanathan, T. (2019). Problematic and extensive YouTube use: First hand reports. Online Information Review, 43(2), 265282.Google Scholar
Kloumann, I. M., Tan, C., Kleinberg, J., & Lee, L. (2016). Internet collaboration on extremely difficult problems: Research versus olympiad questions on the Polymath site. Paper presented at the Proceedings of the 25th International Conference on World Wide Web.Google Scholar
Koepnick, B., Flatten, J., Husain, T., Ford, A., Silva, D.-A., Bick, M. J., … Baker, D. (2019). De novo protein design by citizen scientists. Nature, 570(7761), 390394. doi:10.1038/s41586-019-1274-4Google Scholar
Krause, J., Ruxton, G. D., & Krause, S. (2010). Swarm intelligence in animals and humans. Trends in Ecology & Evolution, 25(1), 2834.Google Scholar
Kuppuswamy, V., & Bayus, B. L. (2017). Crowdfunding creative ideas: The dynamics of project backers in Kickstarter. Retrieved from https://ssrn.com/abstract=2234765Google Scholar
Lackaff, D. (2016). Better Reykjavik – open municipal policymaking. In E. Gordon & P. Mihailidis (Eds.), Civic media: Technology, design, practice (pp. 229–234). Cambridge, MA: MIT Press).Google Scholar
Lakhani, K. R., Jeppesen, L. B., Lohse, P. A., & Panetta, J. A. (2007). The value of openness in scientific problem solving. Harvard Business School Working Paper No. 07-050. Boston, Massachusetts: Harvard University.Google Scholar
Landemore, H. (2013). Democratic reason: Politics, collective intelligence, and the rule of the many. Princeton, NJ: Princeton University Press.Google Scholar
Landemore, H. (2015). Inclusive constitution‐making: The Icelandic experiment. Journal of Political Philosophy, 23(2), 166191.Google Scholar
Landemore, H. (2020). Open democracy and digital technologies. Retrieved from https://pacscenter.stanford.edu/wp-content/uploads/2020/12/Chapte-2_9780226748436_1stPages_Mktg-2-1.pdfGoogle Scholar
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge: Cambridge University Press.Google Scholar
Lee, C. S., Osop, H., Goh, D. H.-L., & Kelni, G. (2017). Making sense of comments on YouTube educational videos: A self-directed learning perspective. Online Information Review, 41(5), 611625.Google Scholar
Lévy, P. (1999). Collective intelligence: Mankind’s emerging world in cyberspace. Cambridge, MA: Perseus Books.Google Scholar
Lévy, P. (2010). From social computing to reflexive collective intelligence: The IEML research program. Information Sciences, 180(1), 7194.Google Scholar
Levy, S. (2001). Hackers: Heroes of the computer revolution (Vol. 4). New York: Penguin Books.Google Scholar
Linder, D. (2002). The trial of Socrates. Retrieved from cutt.ly/AhUQ8nGGoogle Scholar
List, B. (2017). Crowd-based peer review can be good and fast. Nature News, 546(7656), 9.Google Scholar
Lollini, M., Farley, A., & Levy, P. (2019). Collective intelligence, the future of Internet and the IEML. Humanist Studies & the Digital Age, 6(1), 531.Google Scholar
López-Rabatel, L. (2019). Mots et outils du tirage au sort en Grèce ancienne. [Drawing lots in ancient Greece – vocabulary and tools]. Participations, Hors Série(HS), 35–80. doi:10.3917/parti.hs01.0035Google Scholar
Lorenz, J., Rauhut, H., Schweitzer, F., & Helbing, D. (2011). How social influence can undermine the wisdom of crowd effect. Proceedings of the National Academy of Sciences, 108(22), 90209025.Google Scholar
Loveland, J., & Reagle, J. (2013). Wikipedia and encyclopedic production. New Media & Society, 15(8), 12941311.Google Scholar
Lykourentzou, I., Ahmed, F., Papastathis, C., Sadien, I., & Papangelis, K. (2018). When crowds give you lemons: Filtering innovative ideas using a diverse-bag-of-lemons strategy. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 115.Google Scholar
Malone, T. W. (2018). Superminds: The surprising power of people and computers thinking together. New York: Little, Brown and Company.Google Scholar
Malone, T. W., & Bernstein, M. S. (2015). Handbook of collective intelligence. Cambridge, MA: MIT Press.Google Scholar
Malone, T. W., Laubacher, R., & Dellarocas, C. (2009). “Harnessing crowds: Mapping the genome of collective intelligence.” MIT Sloan School Working Paper 4732-09. doi: dx.doi.org/10.2139/ssrn.1381502Google Scholar
Malone, T. W., Nickerson, J. V., Laubacher, R. J., Fisher, L. H., De Boer, P., Han, Y., & Towne, W. B. (2017). Putting the pieces back together again: contest webs for large-scale problem solving. Paper presented at the Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing.Google Scholar
Manavi, K., Gould, E., Smith, C., Thorp, J., & Guerin, S. (2020). Realtime. Earth: collective intelligence from distributed imagery while maximizing privacy for wildland fire. Paper presented at the ACM Collective Intelligence 2020 Virtual Conference.Google Scholar
Manucci, L., & Amsler, M. (2018). Where the wind blows: Five Star Movement’s populism, direct democracy and ideological flexibility. Italian Political Science Review/Rivista Italiana di Scienza Politica, 48(1), 109132.Google Scholar
Marsh, L., & Onof, C. (2008). Stigmergic epistemology, stigmergic cognition. Cognitive Systems Research, 9(1–2), 136149.Google Scholar
Martin, M., Belikov, O., Hilton, J., Wiley, D., & Fischer, L. (2017). Analysis of student and faculty perceptions of textbook costs in higher education. Open Praxis, 9(1), 7991.Google Scholar
Mashayekhi, R. (2020, October 21). How to bet on the presidential election – and why prediction markets might be better than polls. Fortune. Retrieved from fortune.com/2020/10/21/election-betting-predictions-odds-how-to-bet-on-2020-trump-biden-polling/Google Scholar
McDonald, T., & Dan, L. (2020). Alipay’s “Ant Credit Pay” meets China’s factory workers: The depersonalisation and re-personalisation of online lending. Journal of Cultural Economy, 114.Google Scholar
Merkley, K. (Producer). (2016). Open textbook summit. Retrieved from https://vimeo.com/163662273Google Scholar
Michelucci, P., & Dickinson, J. L. (2016). The power of crowds. Science, 351(6268), 3233.Google Scholar
Micu, A. (2018, February 8). Democracy is failing in the West, scientists warn. ZME Science. Retrieved from www.zmescience.com/science/news-science/democracy-failing-west-18092017/Google Scholar
Miller, C. (2019, November 26). Taiwan is making democracy work again. It’s time we paid attention. Wired. Retrieved from www.wired.co.uk/article/taiwan-democracy-social-mediaGoogle Scholar
Miller, C. (2020, September 27). How Taiwan’s “civic hackers” helped find a new way to run the country. Guardian. Retrieved from www.theguardian.com/world/2020/sep/27/taiwan-civic-hackers-polis-consensus-social-media-platformGoogle Scholar
Miller, V. (2017). Phatic culture and the status quo: Reconsidering the purpose of social media activism. Convergence, 23(3), 251269.Google Scholar
Moll, H., & Tomasello, M. (2007). Cooperation and human cognition: The Vygotskian intelligence hypothesis. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1480), 639648.Google Scholar
Moon, M. J. (2020). Fighting against COVID‐19 with agility, transparency, and participation: Wicked policy problems and new governance challenges. Public Administration Review, 80(4), 651–656.Google Scholar
Moreno, C., Wykes, T., Galderisi, S., Nordentoft, M., Crossley, N., Jones, N., … Carr, S. (2020). How mental health care should change as a consequence of the COVID-19 pandemic. The Lancet Psychiatry, 7(9), 813–824.Google Scholar
Mueller, J., Lu, H., Chirkin, A., Klein, B., & Schmitt, G. (2018). Citizen Design Science: A strategy for crowd-creative urban design. Cities, 72, 181188.Google Scholar
Mueller, J. F. (2018). Epistemic democracy: Beyond knowledge exploitation. Philosophical Studies, 175(5), 12671288.Google Scholar
Mulgan, G. (2014). True collective intelligence? A sketch of a possible new field. Philosophy & Technology, 27(1), 133142.Google Scholar
Mulgan, G. (2018). Big mind: How collective intelligence can change our world. Princeton, NJ: Princeton University Press.Google Scholar
Mumford, L. (1970). The pentagon of power (Vol. 2). Boston, MA: Houghton Mifflin Harcourt.Google Scholar
Murray, H. (2019). More than 2 billion pairs of eyeballs: Why aren’t you sharing medical knowledge on Wikipedia? BMJ Evidence-Based Medicine, 24(3), 9091.Google Scholar
Murthy, D. (2013). Twitter: Social communication in the Twitter age. Cambridge, UK: Polity Press.Google Scholar
Neis, P., & Zielstra, D. (2014). Recent developments and future trends in volunteered geographic information research: The case of OpenStreetMap. Future Internet, 6(1), 76106.Google Scholar
Nevett, J. (2020, June 11). George Floyd: The personal cost of filming police brutality. BBC News. Retrieved from www.bbc.com/news/world-us-canada-52942519Google Scholar
Neville, S., & Dombey, D. (2020, October 29). Surge in Covid-19 cases exposes limits of test and trace programmes. Financial Times. Retrieved from www.ft.com/content/84f53141-5495-447c-b857-ae00526c98c6Google Scholar
Nguyen, T. M. (2018, November 26). The case for crowd peer review. Chemical & Engineering News. Retrieved from cen.acs.org/articles/96/i47/case-crowd-peer-review.htmlGoogle Scholar
Nicholas, D., Clark, D., & Herman, E. (2016). ResearchGate: reputation uncovered. Learned Publishing, 29(3), 173182.Google Scholar
Nicolosi, E., French, J., & Medina, R. (2020). Add to the map! Evaluating digitally mediated participatory mapping for grassroots sustainabilities. The Geographical Journal, 186(2), 142155.Google Scholar
Nielsen, M. (2011). Reinventing discovery: The new era of networked science. Princeton and Oxford: Princeton University Press.Google Scholar
Niforatos, E., Vourvopoulos, A., & Langheinrich, M. (2017). Understanding the potential of human–machine crowdsourcing for weather data. International Journal of Human-Computer Studies, 102, 5468.Google Scholar
Nitecki, M. H., & Nitecki, D. V. (1987). The evolution of human hunting. New York: Springer.Google Scholar
Nspirement-Staff. (2020, October 30). China’s social credit system rears its ugly head. Vision Times. Retrieved from visiontimes.com/2020/10/30/chinas-social-credit-system-rears-ugly-head-student-gets-rejected-college.htmlGoogle Scholar
O’Reilly, T. (2005). What is web 2.0? Design patterns and business models for the next generation of software. Retrieved from http://oreillynet.com/1pt/a/6228Google Scholar
Ober, J. (2008). Democracy and knowledge: Innovation and Learning in Classical Athens. Princeton and Oxford: Princeton University Press.Google Scholar
OECD. (2020). Innovative citizen participation and new democratic institutions: Catching the deliberative wave. Paris: OECD Publishing. https://doi.org/10.1787/339306da-enGoogle Scholar
Oldroyd, B. P., Gloag, R. S., Even, N., Wattanachaiyingcharoen, W., & Beekman, M. (2008). Nest site selection in the open-nesting honeybee Apis florea. Behavioral Ecology and Sociobiology, 62(10), 16431653.Google Scholar
Ong, W. J. (2013). Orality and literacy. London: Routledge.Google Scholar
The Ostbelgien Model: a long-term Citizens’ Council combined with short-term Citizens’ Assemblies. (2019). Retrieved from oidp.net/en/practice.php?id=1237Google Scholar
Page, S. E. (2008). The difference: How the power of diversity creates better groups, firms, schools, and societies. Princeton: Princeton University Press.Google Scholar
Page, S. E. (2014). Where diversity comes from and why it matters? European Journal of Social Psychology, 44(4), 267279.Google Scholar
Page, S. E. (2017). The diversity bonus: How great teams pay off in the knowledge economy. Princeton, NJ: Princeton University Press.Google Scholar
Page, S. E. (2018). The model thinker: What you need to know to make data work for you. New York: Basic Books.Google Scholar
Panovska-Griffiths, J., Kerr, C. C., Stuart, R. M., Mistry, D., Klein, D. J., Viner, R. M., & Bonell, C. (2020). Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: A modelling study. The Lancet Child & Adolescent Health, 4(11), 817827.Google Scholar
Pargeter, J., Khreisheh, N., & Stout, D. (2019). Understanding stone tool-making skill acquisition: Experimental methods and evolutionary implications. Journal of Human Evolution, 133, 146166.Google Scholar
Pariser, E. (2011). The filter bubble: What the internet is hiding from you. New York: Penguin UK.Google Scholar
Parunak, H. V. D. (2005). Expert assessment of human-human stigmergy. Ann Arbor, Michigan: Altarum Institute (Defence Research and Development Canada).Google Scholar
Patel, B. N., Rosenberg, L., Willcox, G., Baltaxe, D., Lyons, M., Irvin, J., … Halabi, S. (2019). Human–machine partnership with artificial intelligence for chest radiograph diagnosis. NPJ Digital Medicine, 2(1), 110.Google Scholar
Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770780.Google Scholar
Peters, M. A., & Heraud, R. (2015). Toward a political theory of social innovation: collective intelligence and the co-creation of social goods. Journal of Self-Governance & Management Economics, 3(3).Google Scholar
Pfefferbaum, B., & North, C. S. (2020). Mental health and the Covid-19 pandemic. New England Journal of Medicine, 383(6), 510–512. doi:10.1056/NEJMp2008017Google Scholar
Phillips, K. W. (2017). What is the real value of diversity in organizations? Questioning our assumptions. In Page, S. E. (Ed.), The diversity bonus: How great teams pay off in the knowledge economy. Princeton, NJ: Princeton University Press.Google Scholar
Phillips, K. W., Liljenquist, K. A., & Neale, M. A. (2009). Is the pain worth the gain? The advantages and liabilities of agreeing with socially distinct newcomers. Personality and Social Psychology Bulletin, 35(3), 336350.Google Scholar
Piaget, J. (1952). The origins of intelligence in children. New York: W.W. Norton & Co.Google Scholar
Pitsoulis, A. (2011). The egalitarian battlefield: Reflections on the origins of majority rule in archaic Greece. European Journal of Political Economy, 27(1), 87103.Google Scholar
Pitt, R., Farrow, R., Jordan, K., de los Arcos, B. W. M., Kernohan, D., & Rolfe, V. (2019). The UK open textbook report 2019. Retrieved from Open Education Research Hub.: oerhub.net/wp-content/uploads/2019/05/UK-Open-Textbooks.pdfGoogle Scholar
Piwowar, H., Priem, J., Larivière, V., Alperin, J. P., Matthias, L., Norlander, B., … Haustein, S. (2018). The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles. PeerJ, 6, e4375.Google Scholar
Poblet, M., García-Cuesta, E., & Casanovas, P. (2018). Crowdsourcing roles, methods and tools for data-intensive disaster management. Information Systems Frontiers, 20(6), 13631379.Google Scholar
Postigo, H. (2016). The socio-technical architecture of digital labor: Converting play into YouTube money. New media & society, 18(2), 332349.Google Scholar
Puckett, J. G., Pokhrel, A. R., & Giannini, J. A. (2018). Collective gradient sensing in fish schools. Scientific Reports, 8(1), 111.CrossRefGoogle ScholarPubMed
Quandt, T. (2018). Dark participation. Media and Communication, 6(4), 3648.Google Scholar
Raddick, M. J., Bracey, G., Gay, P. L., Lintott, C. J., Cardamone, C., Murray, P., … Vandenberg, J. (2013). Galaxy Zoo: Motivations of citizen scientists. arXiv preprint arXiv:1303.6886.Google Scholar
Rajkumar, R. P. (2020). COVID-19 and mental health: A review of the existing literature. Asian Journal of Psychiatry, 52, 102066. doi.org/10.1016/j.ajp.2020.102066Google Scholar
Raymond, E. (1999). The cathedral and the bazaar. Knowledge, Technology & Policy, 12(3), 2349.Google Scholar
Reynolds, E. (2020, November 13). As schools shut across the US, Europe made it a mission to keep them open. CNN. Retrieved from edition.cnn.com/2020/11/13/world/schools-covid-europe-us-lockdown-intl/index.htmlGoogle Scholar
Rezgui, A., & Crowston, K. (2018). Stigmergic coordination in Wikipedia. Paper presented at the Proceedings of the 14th International Symposium on Open Collaboration.Google Scholar
Rijshouwer, E. (2019). Organizing Democracy: Power concentration and self-organization in the evolution of Wikipedia. (PhD dissertation, Erasmus University Rotterdam, Rotterdam). Retrieved from http://hdl.handle.net/1765/113937Google Scholar
The rise of the second-hand market in China boosts the circular economy. (2020, May 19). SQLI Digital Experience. Retrieved from www.sqli-digital-experience.com/en/blog-en/the-rise-of-the-second-hand-market-in-china-boosts-the-circular-economyGoogle Scholar
Romey, W., & Kemak, C. (2018). Is the quorum threshold for emergent group response in whirligigs absolute or proportional? Animal Behaviour, 135, 147152.Google Scholar
Rosenberg, L., Lungren, M., Halabi, S., Willcox, G., Baltaxe, D., & Lyons, M. (2018). Artificial swarm intelligence employed to amplify diagnostic accuracy in radiology. Paper presented at the 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).Google Scholar
Rosenberg, L., & Willcox, G. (2018). Artificial swarm intelligence vs vegas betting markets. Paper presented at the 2018 11th International Conference on Developments in eSystems Engineering (DeSE).Google Scholar
Rosenberg, L. (2015). Human swarming: a real-time method for parallel distributed intelligence. Paper presented at the 2015 Swarm/Human Blended Intelligence Workshop (SHBI).Google Scholar
Rosenthal, S. (2018). Motivations to seek science videos on YouTube: free-choice learning in a connected society. International Journal of Science Education, Part B, 8(1), 2239.Google Scholar
Rushe, D. (2020, June 1). Coronavirus will haunt US economy for a decade and wipe out $8tn, says CBO. Guardian. Retrieved from www.theguardian.com/business/2020/jun/01/coronavirus-us-economy-impact-wipe-out-8tnGoogle Scholar
Ruth, D. (2018). 48 percent of colleges, 2.2 million students using {Pitt, 2019 #1164} free OpenStax textbooks this year. Rice News. Retrieved from news.rice.edu/2018/08/01/48-percent-of-colleges-2-2-million-students-using-free-openstax-textbooks-this-year-2/Google Scholar
Ryall, J. (2020a, September). South Korea’s soaring suicide, self-harm rates pinned on pandemic. Deutsche Welle. Retrieved from www.dw.com/en/south-koreas-soaring-suicide-self-harm-rates-pinned-on-pandemic/a-54931167Google Scholar
Ryall, J. (2020c, October 28). South Koreans offer world lessons on how to tame coronavirus. Deutsche Welle (DW). Retrieved from www.dw.com/en/south-koreans-offer-world-lessons-on-how-to-tame-coronavirus/a-55419719Google Scholar
Salminen, J. (2012). Collective intelligence in humans: A literature review. Paper presented at the Proceedings from Collective Intelligence 2012, Cambridge, MA.Google Scholar
Santos Rutschman, A. (2020). The COVID-19 vaccine race: Intellectual property, collaboration (s), nationalism and misinformation. Washington University Journal of Law and Policy, 64.Google Scholar
Sawyer, R. K. (2006). Explaining creativity: The science of human innovation. Oxford: Oxford University Press.Google Scholar
Schilling, M. A., & Green, E. (2011). Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences. Research Policy, 40(10), 13211331.Google Scholar
Schiltz, M. (2018). Why Plan S. Retrieved from www.coalition-s.org/why-plan-s/Google Scholar
Schneider, F. M., Weinmann, C., Roth, F. S., Knop, K., & Vorderer, P. (2016). Learning from entertaining online video clips? Enjoyment and appreciation and their differential relationships with knowledge and behavioral intentions. Computers in Human Behavior, 54, 475482.Google Scholar
Schoder, D., Gloor, P. A., & Metaxas, P. T. (2013). Social media and collective intelligence – ongoing and future research streams. KI-Künstliche Intelligenz, 27(1), 915.Google Scholar
Schudson, M. (1997). Why conversation is not the soul of democracy. Critical Studies in Media Communication, 14(4), 297309.Google Scholar
Schuler, D. (2015). How we may think: the next chapter: Civic intelligence and collective metacognition. ACM SIGCAS Computers and Society, 45(4), 714.Google Scholar
Schuler, D., De Liddo, A., Smith, J., & De Cindio, F. (2018). Collective intelligence for the common good: Cultivating the seeds for an intentional collaborative enterprise. AI & SOCIETY, 33, 1–13. doi:https://doi.org/10.1007/s00146-017-0776-6Google Scholar
Seeley, T. D. (2010). Honeybee democracy. Princeton, NJ: Princeton University Press.Google Scholar
Shafiei Gol, E., Stein, M.-K., & Avital, M. (2018). Why take the risk? Motivations of highly skilled workers to participate in crowdworking platforms. Paper presented at the 39th International Conference on Information Systems. ICIS 2018International Conference on Information Systems, San Francisco, CA.Google Scholar
Shifman, L. (2014). Memes in digital culture. Cambridge, MA: MIT Press.Google Scholar
Shirky, C. (2010). Cognitive surplus: Creativity and generosity in a connected age. Penguin, London, England: UK.Google Scholar
Shore, J., Bernstein, E., & Jang, A. J. (2020). Network centralization and collective adaptability to a shifting environment. Available at SSRN 3664022.Google Scholar
Simons, A. M. (2004). Many wrongs: the advantage of group navigation. Trends in Ecology & Evolution, 19(9), 453455.Google Scholar
Smith, R. L. (2009). Premodern trade in world history. London, UK: Routledge.Google Scholar
Socrates was guilty as charged. (2009, June 8). University of Cambridge. News. Retrieved from www.cam.ac.uk/news/socrates-was-guilty-as-charged#:~:text=He%20was%20found%20guilty%20of,by%20descending%20into%20mob%20rule.Google Scholar
Sommers, S. R. (2006). On racial diversity and group decision making: Identifying multiple effects of racial composition on jury deliberations. Journal of Personality and Social Psychology, 90(4), 597.Google Scholar
Spearman, C. (1904). “General intelligence,” objectively determined and measured. The American Journal of Psychology, 15(2), 201292.Google Scholar
Spohr, D. (2017). Fake news and ideological polarization: Filter bubbles and selective exposure on social media. Business Information Review, 34(3), 150160.Google Scholar
Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. Cambridge, MA: MIT Press.Google Scholar
Staletić, N., Labus, A., Bogdanović, Z., Despotović-Zrakić, M., & Radenković, B. (2020). Citizens’ readiness to crowdsource smart city services: A developing country perspective. Cities, 107, 102883.Google Scholar
Stasser, G., & Titus, W. (1985). Pooling of unshared information in group decision making: Biased information sampling during discussion. Journal of Personality and Social Psychology, 48(6), 1467.Google Scholar
Stefanelli, F., Imbimbo, E., Carletti, T., Guarino, A., Burette, F., & Guazzini, A. (2019). A mathematical model of Collective Intelligence. https://hal.univ-reunion.fr/hal-02059353v2 (accessed August 5, 2021).Google Scholar
Stewart, B., & Ju, B. (2020). On Black Wikipedians: Motivations behind content contribution. Information Processing & Management, 57(3), 102134.Google Scholar
Stewart, M., & Schultze, U. (2019). Producing solidarity in social media activism: The case of my stealthy freedom. Information and Organization, 29(3), 100251.Google Scholar
Stout, D., & Hecht, E. E. (2017). Evolutionary neuroscience of cumulative culture. Proceedings of the National Academy of Sciences, 114(30), 78617868.Google Scholar
Strandburg-Peshkin, A., Farine, D. R., Couzin, I. D., & Crofoot, M. C. (2015). Shared decision-making drives collective movement in wild baboons. Science, 348(6241), 13581361.Google Scholar
Sullivan, D. P., Winsnes, C. F., Åkesson, L., Hjelmare, M., Wiking, M., Schutten, R., … Lundberg, E. (2018). Deep learning is combined with massive-scale citizen science to improve large-scale image classification. Nature Biotechnology, 36, 820. doi:10.1038/nbt.4225 www.nature.com/articles/nbt.4225#supplementary-informationGoogle Scholar
Sumpter, D. J. (2010). Collective Animal Behavior. Princeton, NJ: Princeton University Press.Google Scholar
Sumpter, D. J., Krause, J., James, R., Couzin, I. D., & Ward, A. J. (2008). Consensus decision making by fish. Current Biology, 18(22), 17731777.Google Scholar
Sunstein, C. R. (2006). Infotopia: How many minds produce knowledge? New York: Oxford University Press.Google Scholar
Suran, S., Pattanaik, V., & Draheim, D. (2020). Frameworks for Collective Intelligence: A Systematic Literature Review. ACM Computing Surveys (CSUR), 53(1), 136.CrossRefGoogle Scholar
Surowiecki, J. (2005). The wisdom of crowds: Why the many are smarter than the few. London: Abacus.Google Scholar
TandocJr, E. C., Lim, Z. W., & Ling, R. (2018). Defining “fake news” A typology of scholarly definitions. Digital journalism, 6(2), 137153.Google Scholar
Tao, T. (2014). Polymath projects. Massive collaborative online mathematics. In. Breakthrough Mathematics Symposium, November 10, 2014. https://terrytao.files.wordpress.com/2015/07/polymath.pdfGoogle Scholar
Tennie, C., Call, J., & Tomasello, M. (2009). Ratcheting up the ratchet: On the evolution of cumulative culture. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1528), 24052415.Google Scholar
Terwiesch, C., & Xu, Y. (2008). Innovation contests, open innovation, and multiagent problem solving. Management science, 54(9), 15291543.Google Scholar
Thaker, J., & Menon, V. (2020). Aotearoa New Zealand public responses to COVID-19. Retrieved from Palmerston North, New Zealand. https://mro.massey.ac.nz/handle/10179/15576Google Scholar
Theraulaz, G., & Bonabeau, E. (1999). A brief history of stigmergy. Artificial Life, 5(2), 97116.Google Scholar
Tindale, R. S., & Winget, J. R. (2019). Group decision-making. In O. Braddick (Ed.), Oxford research encyclopedia of psychology. Oxford, UK: Oxford University Press.Google Scholar
Tomasello, M. (2010). Origins of human communication. Cambridge, MA: MIT Press.Google Scholar
Tomasello, M. (2016). A natural history of human morality. Cambridge, MA: Harvard University Press.Google Scholar
Topcoder, . (2019a). FAQs. Retrieved from www.topcoder.com/how-it-works/faqs/Google Scholar
Topcoder. (2019b). How it works. Retrieved from www.topcoder.com/solutions/how-it-works/Google Scholar
Torales, J., O’Higgins, M., Castaldelli-Maia, J. M., & Ventriglio, A. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry, 0020764020915212.Google Scholar
Tosey, P., Visser, M., & Saunders, M. N. (2012). The origins and conceptualizations of “triple-loop” learning: A critical review. Management Learning, 43(3), 291307.Google Scholar
Townsend, L., Dyer, A. H., Jones, K., Dunne, J., Kiersey, R., Gaffney, F., … Conlon, N. (2020). Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection. MedRxiv (preprint server for health sciences). doi.org/10.1101/2020.07.29.20164293Google Scholar
Trainer, E. H., Kalyanasundaram, A., Chaihirunkarn, C., & Herbsleb, J. D. (2016). How to hackathon: Socio-technical tradeoffs in brief, intensive collocation. Paper presented at the proceedings of the 19th ACM conference on computer-supported cooperative work & social computing.Google Scholar
Treynor, J. L. (1987). Market efficiency and the bean jar experiment. Financial Analysts Journal, 43(3), 5053.Google Scholar
Tridimas, G. (2011). A political economy perspective of direct democracy in ancient Athens. Constitutional Political Economy, 22(1), 5882.Google Scholar
Triggle, N. (2020, November 12). Coronavirus: Year-long waits for hospital care in England worst since 2008. BBC News. Retrieved from www.bbc.com/news/health-54886286Google Scholar
Täuscher, K. (2017). Leveraging collective intelligence: How to design and manage crowd-based business models. Business Horizons, 60(2), 237245.Google Scholar
Umapathy, K., & Ritzhaupt, A. D. (2017). A meta-analysis of pair-programming in computer programming courses: Implications for educational practice. ACM Transactions on Computing Education (TOCE), 17(4), 113.Google Scholar
Van Kessel, P., & Quinn, D. (2020, October 29). Both Republicans and Democrats cite masks as a negative effect of COVID-19, but for very different reasons. Pew Research Center. Retrieved from www.pewresearch.org/fact-tank/2020/10/29/both-republicans-and-democrats-cite-masks-as-a-negative-effect-of-covid-19-but-for-very-different-reasons/Google Scholar
Van Reybrouck, D. (2019, April 25). Belgium’s democratic experiment. Politico. Retrieved from www.politico.eu/article/belgium-democratic-experiment-citizens-assembly/Google Scholar
Vercammen, A., & Burgman, M. (2019). Untapped potential of collective intelligence in conservation and environmental decision making. Conservation Biology, 33(6), 12471255.Google Scholar
Veritasium, (Producer). (2015, December 8). Backspin Basketball Flies Off Dam. [Video] Retrieved from www.youtube.com/watch?v=2OSrvzNW9FEGoogle Scholar
Viégas, F. B., Wattenberg, M., & Dave, K. (2004). Studying cooperation and conflict between authors with history flow visualizations. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.Google Scholar
Von Hippel, E., & Von Krogh, G. (2015). Crossroads – Identifying viable “need–solution pairs”: Problem solving without problem formulation. Organization Science, 27(1), 207221.Google Scholar
Von Krogh, G., Netland, T., & Wörter, M. (2018). Winning with open process innovation. MIT Sloan Management Review, 59(2), 5356.Google Scholar
Voormolen, B. (2008). Ancient hunters, modern butchers. Schöningen 13II-4, a kill-butchery site dating from the northwest European Lower Palaeolithic (PhD dissertation, Universiteit van Leiden, Netherlands). Retrieved from https://scholarlypublications.universiteitleiden.nl/handle/1887/12661Google Scholar
Voytek, B. (2017). Social media, open science, and data science are inextricably linked. Neuron, 96(6), 12191222.Google Scholar
Wallace, R. W. (2013). Councils in Greek oligarchies and democracies. In Beck, H. (Ed.), A companion to Ancient Greek government (pp. 191204). Chichester, West Sussex: Wiley-Blackwell.CrossRefGoogle Scholar
Ward, H., Atchison, C. J., Whitaker, M., Ainslie, K. E., Elliot, J., Okell, L. C., … Barclay, W. (2020). Antibody prevalence for SARS-CoV-2 in England following first peak of the pandemic: REACT2 study in 100,000 adults. MedRxiv (preprint server for health sciences). doi.org/10.1101/2020.08.12.20173690Google Scholar
Wellman, B., Quan-Haase, A., Boase, J., Chen, W., Hampton, K., Díaz, I., & Miyata, K. (2003). The social affordances of the Internet for networked individualism. Journal of Computer-Mediated Communication, 8(3), JCMC834.Google Scholar
Wertsch, J. V. (1985). Vygotsky and the social formation of mind. Cambridge, MA: Harvard University Press.Google Scholar
WHO. (2020). Managing the COVID-19 infodemic: Promoting healthy behaviours and mitigating the harm from misinformation and disinformation (Press release). Retrieved from www.who.int/news/item/23-09-2020-managing-the-covid-19-infodemic-promoting-healthy-behaviours-and-mitigating-the-harm-from-misinformation-and-disinformationGoogle Scholar
Who will win the 2020 U.S. presidential election? (2020). Retrieved from www.predictit.org/markets/detail/3698/Who-will-win-the-2020-US-presidential-electionGoogle Scholar
Wiens, K. (2016). Open textbooks 4 Africa. Retrieved from creativecommons.org/2016/05/09/open-textbooks-4-africa/Google Scholar
Wikipedia:Administrators. (2020). Retrieved from en.wikipedia.org/wiki/Wikipedia:AdministratorsGoogle Scholar
Wikipedia:Assume good faith. (2020). Retrieved from en.wikipedia.org/wiki/Wikipedia:Assume_good_faithGoogle Scholar
Wikipedia:Civility. (2020). Retrieved from en.wikipedia.org/wiki/Wikipedia:CivilityGoogle Scholar
Wikipedia:Edit count. (2020). Retrieved from en.wikipedia.org/wiki/Wikipedia:Edit_countGoogle Scholar
Wikipedia:Size comparisons. (2020). Retrieved from en.wikipedia.org/wiki/Wikipedia:Size_comparisonsGoogle Scholar
Willcox, G., Rosenberg, L., Askay, D., Metcalf, L., Harris, E., & Domnauer, C. (2019). Artificial swarming shown to amplify accuracy of group decisions in subjective judgment tasks. Paper presented at the Future of Information and Communication Conference.Google Scholar
Willcox, G., Rosenberg, L., & Domnauer, C. (2020). Analysis of human behaviors in real-time swarms. Paper presented at the 2020 10th Annual Computing and Communication Workshop and Conference (CCWC).Google Scholar
Wilson, A., & De Paoli, S. (2019). On the ethical and political agency of online reputation systems. First Monday, 24(2).Google Scholar
Wilson, H. (2019, August 8). Scribe like an Egyptian. History Today. Retrieved from www.historytoday.com/miscellanies/scribe-egyptianGoogle Scholar
Woolley, A. W., & Aggarwal, I. (2017). Collective intelligence and group learning. In The oxford handbook of group and organizational learning (pp. 1–25). Oxford, UK: Oxford University Press.Google Scholar
Woolley, A. W., Aggarwal, I., & Malone, T. W. (2015). Collective intelligence and group performance. Current Directions in Psychological Science, 24(6), 420424.Google Scholar
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004), 686688. doi:10.1126/science.1193147Google Scholar
Woolley, A. W., Kim, Y., & Malone, T. W. (2018). Measuring collective intelligence in groups: A reply to Credé and Howardson (Research Paper No. 5431-18). Retrieved from Cambridge, MA: https://ssrn.com/abstract=3187373Google Scholar
Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science, 316(5827), 10361039.Google Scholar
Xiong, Y., Cho, M., & Boatwright, B. (2019). Hashtag activism and message frames among social movement organizations: Semantic network analysis and thematic analysis of Twitter during the# MeToo movement. Public Relations Review, 45(1), 1023.Google Scholar
Zhang, P. (2020, April 25). Chinese court names and shames debtors in warm-up to Avengers movie. South China Morning Post. Retrieved from www.scmp.com/news/china/society/article/3007617/chinese-district-court-shows-name-and-shame-debtors-film-warmGoogle Scholar
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Profile Books.Google Scholar
Zuiderveen Borgesius, F., Trilling, D., Möller, J., Bodó, B., De Vreese, C. H., & Helberger, N. (2016). Should we worry about filter bubbles? Internet policy review. Journal on Internet Regulation, 5(1), 116.Google Scholar

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  • References
  • Rolf K. Baltzersen
  • Book: Cultural-Historical Perspectives on Collective Intelligence
  • Online publication: 03 February 2022
  • Chapter DOI: https://doi.org/10.1017/9781108981361.016
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  • References
  • Rolf K. Baltzersen
  • Book: Cultural-Historical Perspectives on Collective Intelligence
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  • Chapter DOI: https://doi.org/10.1017/9781108981361.016
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  • References
  • Rolf K. Baltzersen
  • Book: Cultural-Historical Perspectives on Collective Intelligence
  • Online publication: 03 February 2022
  • Chapter DOI: https://doi.org/10.1017/9781108981361.016
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