References
- “Wikimedia Foundation,” Wikipedia, last modified 6 September 2022,
https://en.wikipedia.org/wiki/Wikimedia_Foundation (accessed 3 February 2023). - “Size comparisons,” Wikipedia, last modified 8 May 2022,
https://en.wikipedia.org/wiki/Wikipedia:Size_comparisons (accessed 3 February 2023). - “Size of Wikipedia,” Wikipedia, last modified 21 September 2022,
https://en.wikipedia.org/wiki/Wikipedia:Size_of_Wikipedia (accessed 3 February 2023). - Jim Giles, “Internet encyclopaedias go head to head,” Nature 438 (2005): 900–901, DOI: https://doi.org/10.1038/438900a (accessed 3 February 2023); Andrew J. Flanagin and Miriam J. Metzger, “From Encyclopædia Britannica to Wikipedia,” Information, Communication & Society 14, no.3 (2011): 355–374, DOI: https://doi.org/10.1080/1369118X.2010.542823 (accessed 3 February 2023); Marcus Messner and Marcia W. DiStaso, “Wikipedia versus Encyclopedia Britannica: A longitudinal analysis to identify the impact of social media on the standards of knowledge,” Mass Communication and Society 16, no.4 (2013): 465–486, DOI: https://doi.org/10.1080/15205436.2012.732649 (accessed 3 February 2023); Shane Greenstein and Feng Zhu, “Do experts or crowd-based models produce more bias? Evidence from Encyclopedia Britannica and Wikipedia,” MIS Quarterly 42, no.3 (2018): 945–959, DOI: 10.25300/MISQ/2018/14084 (accessed 3 February 2023).
- Xuemei Li, Mike Thelwall, and Ehsan Mohammadi, “How are encyclopedias cited in academic research? Wikipedia, Britannica, Baidu Baike, and Scholarpedia,” Profesional de la información 30, no. 5 (2021), DOI: https://doi.org/10.3145/epi.2021.sep.08 (accessed 3 February 2023); Diana E. Park and Laurie M. Bridges, “Meet students where they are: centering Wikipedia in the classroom,” Communications in Information Literacy 16, no.1 (2022): 4–23, DOI: 10.15760/comminfolit.2022.16.1.2 (accessed 3 February 2023).
- Caroline Ball, “WikiLiteracy: enhancing students’ digital literacy with Wikipedia”, Journal of Information Literacy 13, no.2 (2019): 253–271, DOI: https://doi.org/10.11645/13.2.2669 (accessed 3 February 2023); Stuart T. Fraser, “A new frontier: Developing an undergraduate assessment task aimed at improving the representation of biomedical scientific information on Wikipedia,” Studies in Higher Education 45, no.5 (2020): 972–983, DOI: https://doi.org/10.1080/03075079.2020.1749794 (accessed 3 February 2023); Matthew A. Vetter, Krista Speicher Sarraf, and Elin Woods, “Assessing the Art + feminism Edit-a-thon for Wikipedia literacy, learning outcomes, and critical thinking,” Interactive Learning Environments 30, no.6 (2020): 1155–1167, DOI: https://doi.org/10.1080/10494820.2020.1805772 (accessed 3 February 2023); Paul Anthony Thomas et al., “Using Wikipedia to teach scholarly peer review,” Journal of Information Literacy 15, no.2 (2021): 178–190, DOI: 10.11645/15.2.2913 (accessed 3 February 2023).
- Xiaozan Lyu and Rodrigo Costas, “How do academic topics shift across altmetric sources? A case study of the research area of Big Data,” Scientometrics 123 (2020): 909–943, DOI: https://doi.org/10.1007/s11192-020-03415-7 (accessed 3 February 2023); Anna Tovo et al., “Upscaling human activity data: A statistical ecology approach,” PLOS ONE 16, no.7 (2021):
e0253461 , DOI: https://doi.org/10.1371/journal.pone.0253461 (accessed 3 February 2023); Mengting Song et al., “Research on methods of parsing and classification of internet super large-scale texts,” Journal of Physics: Conference Series 1757, no.1 (2021): 012121, DOI: 10.1088/1742-6596/1757/1/012121 (accessed 3 February 2023). - Padma Polash Paul et al., “Editing behavior to recognize authors of crowdsourced content,” 2015 IEEE International Conference on Systems, Man, and Cybernetics (2015): 1676–1681, DOI: https://doi.org/10.1109/SMC.2015.295 (accessed 3 February 2023); Effie Kapsalis, “Wikidata: Recruiting the crowd to power access to digital archives,” Journal of Radio & Audio Media 26, no.1 (2019): 134–142, DOI: https://doi.org/10.1080/19376529.2019.1559520 (accessed 3 February 2023); Natalia Banasik-Jemielniak, Dariusz Jemielniak, and Maciej Wilamowski, “Psychology and Wikipedia: Measuring psychology journals’ impact by Wikipedia citations,” Social Science Computer Review 40, no.3 (2021): 756–774, DOI: 10.1177/0894439321993836 (accessed 3 February 2023).
- Alexander Stinson, Sandra Fauconnier, and Liam Wyatt, “Stepping beyond libraries: the changing orientation in global GLAM-Wiki,” Italian Journal of Library, Archives and Information Science 3, no.9 (2018): 16–34, DOI: https://doi.org/10.4403/jlis.it-12480 (accessed 3 February 2023); Trilce Navarrete and Elena Villaespesa, “Image-based information: Paintings in Wikipedia,” Journal of Documentation 77, no.2 (2021): 359–380, DOI: https://doi.org/10.1108/JD-03-2020-0044 (accessed 3 February 2023); Carlos H. Marcondes, “Implementing culturally relevant relationships between digital cultural heritage objects,” Metadata and Semantic Research 1355 (2021): 123–133, DOI: 10.1007/978-3-030-71903-6_13 (accessed 3 February 2023).
- Mohamad Mehdi et al, “Excavating the mother lode of human-generated text: A systematic review of research that uses the Wikipedia corpus,” Information Processing & Management 53, no.2 (2017): 506, DOI: 10.1016/j.ipm.2016.07.003 (accessed 3 February 2023).
- P.D. Magnus, “On trusting Wikipedia,” Episteme 6, no.1 (2012): 74, DOI: 10.3366/E1742360008000555 (accessed 6 February 2023).
- “Wikipedia is a tertiary source,” Wikipedia, last modified 11 May 2022,
https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_is_a_tertiary_source (accessed 6 February 2023). - Alexander L. Bond, “Why ornithologists should embrace and contribute to Wikipedia,” Ibis 153, no.3 (2011): 640–641, DOI: https://doi.org/10.1111/j.1474-919X.2011.01135.x (accessed 6 February 2023); M. Dylan Bould et al., “References that anyone can edit: Review of Wikipedia citations in peer reviewed health science literature,” BMJ 348 (2014): g1585, DOI: https://doi.org/10.1136/bmj.g1585 (accessed 6 February 2023); Trudi E. Jacobson, “Analyzing information sources through the lens of the ACRL framework: A case study of Wikipedia,” Communications in Information Literacy 14, no. 2 (2020): 362–377, DOI: https://doi.org/10.15760/comminfolit.2020.14.2.10 (accessed 6 February 2023); Gwinyai Masukume, “Why and how medical schools, peer-reviewed journals, and research funders should promote Wikipedia editing,” Studies in Higher Education 45, no.5 (2020): 984–989, DOI: https://doi.org/10.1080/03075079.2020.1749796 (accessed 6 February 2023); Jiawei Xing and Matthew Vetter, “Editing for equity: Understanding instructor motivations for integrating cross-disciplinary Wikipedia assignments,” First Monday 25, no.6 (2020): DOI: 10.5210/fm.v25i6.10575 (accessed 6 February 2023).
- Sheela Durai, “Building blocks: The art and science of searching the literature,” Indian Journal of Continuing Nursing Education 21, no.2 (2020): 193–197, DOI: https://doi.org/10.4103/IJCN.IJCN_140_20 p.194 (accessed 6 February 2023).
- Basawaraj Malipatil and Vaishali Pandit,
“Information sources,” in Redesigning and Reimagining Libraries in New Technological Era, eds. Priya Rai, Akash Singh, Dr. Arjun, Shivjee Prasad and Vaibhav Bansal (New Delhi: Vidit Publication House, 2020), 62–73. - Montathar Faraon et al., “Fake news and aggregated credibility: conceptualizing a co-creative medium for evaluation of sources online,” International Journal of Ambient Computing and Intelligence 11, no.4 (2020): 93–117, DOI: 10.4018/IJACI.20201001.oa1 (accessed 6 February 2023).
- “Core content policies,” Wikipedia, last modified 03 May 2022,
https://en.wikipedia.org/wiki/Wikipedia:Core_content_policies (accessed 6 February 2023). - “Notability,” Wikipedia, last modified 2 September 2022,
https://en.wikipedia.org/wiki/Wikipedia:Notability (accessed 6 February 2023). - Maude Gauthier and Kim Sawchuk, “Not notable enough: Feminism and expertise in Wikipedia,” Communication and Critical/Cultural Studies 14, no.4 (2017): 385–402, DOI: https://doi.org/10.1080/14791420.2017.1386321 (accessed 6 February 2023); Victoria Leonard and Sarah E. Bond, “Advancing feminism online,” Studies in Late Antiquity 3, no.1 (2019): 4–16, DOI: https://doi.org/10.1525/sla.2019.3.1.4 (accessed 6 February 2023); Amanda Menking and Jon Rosenberg, “WP:NOT, WP:NPOV, and other stories Wikipedia tells us: A feminist critique of Wikipedia’s epistemology,” Science, Technology, & Human Values 46, no.3 (2020): 455–479, DOI: 10.1177/0162243920924783 (accessed 6 February 2023).
- Casper Grathwohl, “Wikipedia comes of age,” The Chronicle of Higher Education, January 17, 2011,
https://www.chronicle.com/article/wikipedia-comes-of-age/ (accessed 6 February 2023). - William Cronon, “Scholarly authority in a Wikified world,” Perspectives on History, February 1, 2012,
https://www.historians.org/publications-and-directories/perspectives-on-history/february-2012/scholarly-authority-in-a-wikified-world (accessed 6 February 2023). - William Badke, “What to do with Wikipedia,” Information Today 32, no.2 (2008),
https://www.infotoday.com/online/mar08/Badke.shtml (accessed 6 February 2023). - Tiziano Piccardi et al., “Quantifying engagement with citations on Wikipedia,” Proceedings of The Web Conference 2020 (2020): 2365–2376, DOI: 10.1145/3366423.3380300 (access 6 February 2023).
- Tiziano Piccardi et al., “On the value of Wikipedia as a gateway to the web,” Proceedings of the Web Conference 2021 (2021): 249–260, DOI: 10.1145/3442381.3450136 (accessed 6 February 2023).
- User:MusikAnimal, User:Kaldari and User:Mforns, “Siteviews Analysis,” accessed 23 September, 2022,
https://pageviews.wmcloud.org/siteviews/?platform=all-access&source=pageviews&agent=user&start=2021-09&end=2022-08&sites=en.wikipedia.org . - “No original research”, Wikipedia, last modified 10 September 2022,
https://en.wikipedia.org/wiki/Wikipedia:No_original_research (accessed 6 February 2023). - Greenstein and Zhu, “Do experts or crowd-based models produce more bias?”, 945–959.
- Bould et al., “References that anyone can edit”, g1585.
- Jed Meers, Jenny Gibbons, and Wendy Laws, “Research magpies: Student sourcing behaviours on an undergraduate law degree,” Teaching in Higher Education 27, no.3 (2020): 387–402, DOI: 10.1080/13562517.2020.1725460 (accessed 6 February 2023).
- Charles Knight and Sam Pryke, “Wikipedia and the University, a case study,” Teaching in Higher Education 17, no.6 (2012): 649–659, DOI: https://doi.org/10.1080/13562517.2012.666734 (accessed 6 February 2023); Mónica Colón-Aguirre and Rachel A. Fleming-May, “‘You just type in what you are looking for’: undergraduates’ use of library resources vs. Wikipedia,” The Journal of Academic Librarianship 38, no. 6 (2012): 391–399, DOI: https://doi.org/10.1016/j.acalib.2012.09.013 (accessed 6 February 2023); Marte Blikstad-Balas, “‘You get what you need’: A study of students’ attitudes towards using Wikipedia when doing school assignments,” Scandinavian Journal of Educational Research 60, no.6 (2016): 594–608, DOI: https://doi.org/10.1080/00313831.2015.1066428 (accessed 6 February 2023); Wazzuha Amina, Nosheen Fatima Warraich, and Amara Malik, “Usage of and learning from Wikipedia: a study of university students in Pakistan,” Global Knowledge, Memory and Communication 70, no.3 (2012): 282–292, DOI: https://doi.org/10.1108/GKMC-04-2020-0042 (accessed 6 February 2023); Kevin Dadaczynski et al., “Digital health literature and web-based information-seeking behaviours of university students in Germany during the Covid-19 pandemic: cross-sectional survey study,” Journal of Medical Internet Research 23, no.1 (2012):
e24097 , DOI: https://doi.org/10.2196/24097 (accessed 6 February 2023); Wazzuha Amina and Nosheen Fatima Warraich, “Use and trustworthiness of Wikipedia information: student” perceptions and reflections,” Digital Library Perspectives 38, no.1 (2022): 16–32, DOI: 10.1108/DLP-04-2021-0030 (accessed 6 February 2023). - Neil Selwyn and Stephen Gorard, “Students’ use of Wikipedia as an academic resource—Patterns of use and perceptions of usefulness,” The Internet and Higher Education 28 (2016): 28–34, DOI: 10.1016/j.iheduc.2015.08.004 (accessed 6 February 2023).
- Terry Judd and Gregor Kennedy, “Expediency-based practice? Medical students’ reliance on Google and Wikipedia for biomedical inquiries,” British Journal of Educational Technology 42, no.2 (2011): 351–360, DOI: 10.1111/j.1467-8535.2009.01019.x (accessed 6 February 2023).
- Brian McKenzie et al., “From poetry to Palmerstown: using Wikipedia to teach critical skills and information literacy in a first-year seminar,” College Teaching 66, no.3 (2018): 140–147, DOI: https://doi.org/10.1080/87567555.2018.1463504 (accessed 6 February 2023); Laurie Bridges and Meghan L. Dowell, “A perspective on Wikipedia: Approaches for educational use,” The Journal of Academic Librarianship 46, no.1 (2020): 102090, DOI: https://doi.org/10.1016/j.acalib.2019.102090 (accessed 6 February 2023); Caroline Ball, “Using Wikipedia to explore issues of systemic bias and symbolic annihilation in information sources,” in Critical Library Pedagogy in Practice, eds., Elizabeth Brookbank and Jess Haigh (Huddersfield: Innovative Libraries Press, 2021), 194–222,
https://repository.derby.ac.uk/item/92202/using-wikipedia-to-explore-issues-of-systemic-bias-and-symbolic-annihilation-in-information-sources (accessed 14 February 2023); Brooke A. Ackerly and Kristin Michelitch, “Wikipedia and political science: addressing systematic biases with student initiatives,” PS: Political Science & Politics 55, no.2 (2022): 42–433, DOI: 10.1017/S1049096521001463 (accessed 6 February 2023). - Robert Tomaszewski and Karen I. MacDonald, “A study of citations to Wikipedia in scholarly publications,” Science & Technology Libraries 35, no.3 (2016): 246–261, DOI: 10.1080/0194262X.2016.1206052 (accessed 6 February 2023).
- Alireza Noruzi, “Wikipedia popularity from a citation analysis point of view,” Webology 6, no.2 (2009): 1–3, http://www.webology.org/2009/v6n2/editorial20.htm; Bradley Brazzeal, “Citations to Wikipedia in chemistry journals: A preliminary study,” Issues in Science and Technology Librarianship 67 (2011), DOI: https://doi.org/10.29173/istl1527 (accessed 6 February 2023); Taemin Kim Park, “The visibility of Wikipedia in scholarly publications,” First Monday 16, no. 8 (2011), DOI: https://doi.org/10.5210/fm.v16i8.3492 (accessed 6 February 2023); Sarah Huggett, “The influence of free encyclopaedias on science,” Research Trends 1, no.27 (2007): 7–10, https://www.researchtrends.com/researchtrends/vol1/iss27/3/ (accessed 6 February 2023); Chitu Okoli et al., “The people’s encyclopedia under the gaze of the sages: A systematic review of scholarly research on Wikipedia,” SSRN Electronic Journal (2012), DOI: https://doi.org/10.2139/ssrn.2021326 (accessed 6 February 2023); Sayed-Amir Marashi et al., “Impact of Wikipedia on citation trends,” EXCLI Journal 12 (2013): 15–19,
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803015/ (accessed 6 February 2023); Fariba Tohidinasab and Hamid R. Jamali, “Why and where Wikipedia is cited in journal articles?,” Journal of Scientometric Research 2, no.3 (2013): 231–238, DOI: https://doi.org/10.4103/2320-0057.135415 (accessed 6 February 2023); Bould et al., “References that anyone can edit,” g1585; Robert Tomaszewski and Karen I. MacDonald, “A study of citations to Wikipedia in scholarly publications,” 246–261. - Bould et al., “References that anyone can edit”, g1585.
- Robert Tomaszewski and Karen I. MacDonald, “A study of citations to Wikipedia in scholarly publications,” 246–261. DOI: 10.1080/0194262X.2016.1206052
- Amber Lynn Wagner,
“Wikipedia made law? The federal judicial citation of Wikipedia,” UIC John Marshall Journal of Information Technology & Privacy Law 26, no.2 (2008): 229–258, https://repository.law.uic.edu/jitpl/vol26/iss2/2/ (accessed 6 February 2023); Daniel Baker-Jones, “Citations to Wikipedia in law reviews,” U of Houston Law Center, no.2009-A-42 (2009): DOI: https://doi.org/10.2139/ssrn.1525619 (accessed 6 February 2023); Lee Peoples, “The citation of Wikipedia in judicial opinions,” Yale Journal of Law and Technology 12 (2009): 1–50, https://openyls.law.yale.edu/handle/20.500.13051/7765 (accessed 6 February 2023); Joseph L. Gerken, “How courts use Wikipedia,” Journal of Appellate Practice and Process, 11 no.1 (2010): 191–227, https://journals.librarypublishing.arizona.edu/appellate/article/id/2705/download/pdf/ (accessed 6 February 2023); Jason C. Miller and Hannah B. Murray, “Wikipedia in court: when and how citing Wikipedia and other consensus websites is appropriate,” St John’s Law Review 84, no.2 (2010): 633–656,https://scholarship.law.stjohns.edu/lawreview/vol84/iss2/2/ ; Solomon Rukundo, “Wikipedia in the courts: An examination of the citation of Wikipedia in judicial opinions in Uganda,” Computer Law & Security Review 35, no.5 (2019): 105316, DOI: https://doi.org/10.1016/j.clsr.2019.03.010 (accessed 6 February 2023); Neil Thompson et al., “Trial by internet: a randomized field experiment on Wikipedia’s influence on judges’ legal reasoning,” in Cambridge Handbook of Experimental Jurisprudence, ed., Kevin Tobia (Cambridge: Cambridge University Press, 2022), DOI: 10.2139/ssrn.4174200 (accessed 6 February 2023). - Joseph L. Gerken, “How courts use Wikipedia,” 191–227.
- Daniel Baker-Jones, “A jester’s promenade: citations to Wikipedia in law reviews, 2002–2008,” I/S: A Journal of Law and Policy for the Information Society 7, no.2 (2012): 361–404,
https://kb.osu.edu/handle/1811/72992?show=full (accessed 6 February 2023). - Amber Lynn Wagner, “Wikipedia made law? The federal judicial citation of Wikipedia,” 229–258.
- Jona Kräenbring et al., “Accuracy and completeness of drug information in Wikipedia: A comparison with standard textbooks of pharmacology,” PLoS ONE 9, no.9 (2014):
e106930 , DOI: 10.1371/journal.pone.0106930 (accessed 6 February 2023). - David G. Halsted, “Accuracy and quality in historical representation: Wikipedia, textbooks and the Investiture Controversy,” Digital Medievalist 9 (2013), DOI: 10.16995/dm.50 (accessed 6 February 2023).
- N. J. Reavley et al., “Quality of information sources about mental disorders: A comparison of Wikipedia with centrally controlled web and printed sources,” Psychological Medicine 42, no.8 (2012): 1753–1762, DOI: https://doi.org/10.1017/S003329171100287X (accessed 6 February 2023); Michael A. Scaffidi et al., “Comparison of the impact of Wikipedia, UpToDate, and a digital textbook on short-term knowledge acquisition among medical students: randomized controlled trial of three web-based resources,” JMIR medical education 3, no.2 (2017):
e20 , DOI: https://doi.org/10.2196/mededu.8188 (accessed 6 February 2023); Michael Yacob et al., “Wikipedia in vascular surgery medical education: Comparative study,” JMIR Medical Education 6, no.1 (2020): e18076, DOI: 10.2196/18076 (accessed 6 February 2023). - Alexander A. Hernandez.
“According to Wikipedia…: A Comparative Analysis of the Establishment and Display of Authority in a Social Problems Textbook and Wikipedia,” Master’s thesis (University of South Florida, 2009):https://digitalcommons.usf.edu/etd/2009/ (accessed 6 February 2023). - Behnam Rahdari et al.,
“Knowledge-driven Wikipedia article recommendation for electronic textbooks,” in Addressing Global Challenges and Quality Education, eds. Carlos Alario-Hoyos, María Jesús Rodríguez-Triana, Maren Scheffel, Inmaculada Arnedillo-Sánchez and Sebastian Maximilian Dennerlein (Cham: Springer): 363–368, DOI: 10.1007/978-3-030-57717-9_28 (accessed 7 February 2023). - Bould et al., “References that anyone can edit”, g1585.
- “Statistics,” Wikipedia, last modified 23 September 2022,
https://en.wikipedia.org/wiki/Special:Statistics (accessed 7 February 2023). - Wikipedia, “Notability.”
- Márton Mestyán, Taha Yasseri, and János Kertész, “Early prediction of movie box office success based on Wikipedia activity big data,” PLoS ONE 8, no.8 (2013):
e71226 , DOI: 10.1371/journal.pone.0071226 (accessed 7 February 2023). - Taha Yasseri and Jonathan Bright, “Wikipedia traffic data and electoral prediction: Towards theoretically informed models,” EPJ Data Science 5, no.1 (2016): 22, DOI: https://doi.org/10.1140/epjds/s13688-016-0083-3 (accessed 7 February 2023); Hamza Salem and Fabian Stephany, “Wikipedia: a challenger’s best friend? Utilizing information-seeking behaviour patterns to predict US congressional elections,” Information, Communication & Society 26, no. 1 (2021): 174–200, DOI: 10.1080/1369118X.2021.1942953 (accessed 7 February 2023).
- Helen Susannah Moat et al., “Quantifying Wikipedia usage patterns before stock market moves,” Scientific Reports 3, no.1 (2013): 1801, DOI: https://doi.org/10.1038/srep01801 (accessed 7 February 2023); Simon Behrendt, Franziska J. Peter, and David J. Zimmerman, “An encyclopedia for stock markets? Wikipedia searches and stock returns,” International Review of Financial Analysis 72 (2020): 101563, DOI: 10.1016/j.irfa.2020.101563 (accessed 7 February 2023).
- Conor Donovan, Eóin T. Flaherty, and Eimear Quinn Healy, “Using big data from Wikipedia page views for official tourism statistics,” Statistical Journal of the IAOS 33, no.4 (2017): 997–1003, DOI: 10.3233/SJI-160320 (accessed 7 February 2023).
- Abhishek Nagaraj, “Does copyright affect reuse? Evidence from Google Books and Wikipedia,” Management Science 64, no.7 (2017): 3091–3107, DOI: 10.1287/mnsc.2017.2767 (accessed 7 February 2023).
- Nicola Luigi Bragazzi et al., “Has the ice bucket challenge really increased people’s awareness of amyotrophic lateral sclerosis? Insights and ethical implications from Google Trends and Wikipedia: A 2 years-follow up,” Acta Medica Mediterranea 33, no.5 (2017): 875–878, DOI: 10.19193/0393-6384_2017_5_130 (accessed 7 February 2023).
- James M. Heilman and Andrew G. West, “Wikipedia and medicine: quantifying readership, editors, and the significance of natural language,” Journal of Medical Internet Research 17, no.3 (2015):
e62 , DOI: 10.2196/jmir.4069 (accessed 7 February 2023). - Michaël R. Laurent and Tim J. Vickers, “Seeking health information online: Does Wikipedia matter?,” Journal of the American Medical Informatics Association 16, no.4 (2009): 471–479, DOI: https://doi.org/10.1197/jamia.M3059 (accessed 7 February 2023); Yla Tausczik et al., “Public anxiety and information seeking following the H1N1 outbreak: blogs, newspaper articles, and Wikipedia visits,” Health Communication 27, no. 2 (2017): 179–185, DOI: https://doi.org/10.1080/10410236.2011.571759 (accessed 7 February 2023); Savino Sciascia and Massimo Radin, “What can Google and Wikipedia can tell us about a disease? Big Data trends analysis in Systemic Lupus Erythematosus,” International Journal of Medical Informatics 107 (2017): 65–69, DOI: 10.1016/j.ijmedinf.2017.09.002 (accessed 7 February 2023).
- James M. Heilman and Andrew G. West, “Wikipedia and medicine: quantifying readership, editors, and the significance of natural language,”
e62 . DOI: 10.2196/jmir.4069 - Nicholas Generous et al., “Global disease monitoring and forecasting with Wikipedia,” PLoS Computational Biology 10, no.11 (2014):
e1003892 , DOI: 10.1371/journal.pcbi.1003892 (accessed 7 February 2023). - Generous et al., “Global disease monitoring and forecasting with Wikipedia,”
e1003892 ; Reid Priedhorsky et al., “Measuring global disease with Wikipedia: Success, failure, and a research agenda,” CSCW Conf Comput Support Coop Work, 2017 Feb–Mar (2017): 1812–1834, DOI: https://doi.org/10.1145/2998181.2998183 (accessed 7 February 2023); Guillaume Rollin, José Lages, and Dima L. Shepelyansky, “World influence of infectious diseases from Wikipedia network analysis,” IEEE Access 7 (2019): 26073–26087, DOI: 10.1109/ACCESS.2019.2899339 (accessed 7 February 2023). - Sandro Provenzano et al., “Predicting disease outbreaks: Evaluating measles infection with Wikipedia Trends,” Recenti Progressi in Medicina 110, no.6 (2019): 292–296, DOI: 10.1701/3182.31610 (accessed 7 February 2023).
- David J. McIver and John S. Brownstein, “Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time,” PLoS Computational Biology 10, no.4 (2014):
e1003581 , DOI: https://doi.org/10.1371/journal.pcbi.1003581 (accessed 7 February 2023); Giovanni De Toni, Cristian Consonni, and Alberto Montresor, “A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data,” PLoS ONE 16, no.8 (2021): e0256858, DOI: 10.1371/journal.pone.0256858 (accessed 7 February 2023). - Joshua Ritterman, Miles Osborne, and Ewan Klein, “Using prediction markets and Twitter to predict a swine flu pandemic,” Proceedings of the 1st International Workshop of Mining Social Media (2009): 9–17,
https://www.research.ed.ac.uk/en/publications/using-prediction-markets-and-twitter-to-predict-a-swine-flu-pande . - Daniel E. O’Leary and Veda C. Storey, “A Google–Wikipedia–Twitter model as a leading indicator of the numbers of coronavirus deaths,” Intelligent Systems in Accounting, Finance and Management 27, no.3 (2020): 151–158, DOI: 10.1002/isaf.1482 (accessed 7 February 2023).
- Julia Adams and Hannah Brückner, “Wikipedia, sociology, and the promise and pitfalls of Big Data,” Big Data & Society 2, no.2 (2015): 1–5, DOI: 10.1177/2053951715614332 (accessed 7 February 2023).
- Julia Adams, Hannah Brückner, and Cambria Naslund, “Who counts as a notable sociologist on Wikipedia? Gender, race, and the ‘Professor Test’,” Socius: Sociological Research for a Dynamic World 5 (2019), DOI: https://doi.org/10.1177/2378023118823946 (accessed 7 February 2023); Francesca Tripodi, “Ms. Categorized: gender, notability, and inequality on Wikipedia,” New Media & Society 0, no. 0: DOI: 10.1177/14614448211023772 (accessed 7 February 2023).
- Uri Roll et al., “Using Wikipedia page views to explore the cultural importance of global reptiles,” Biological Conservation 204 (2016): 42–50, DOI: 10.1016/j.biocon.2016.03.037 (accessed 7 February 2023).
- Jhonatan Guedes-Santos et al., “Evaluating public interest in protected areas using Wikipedia page views,” Journal for Nature Conservation 63 (2021): 126040, DOI: 10.1016/j.jnc.2021.126040 (accessed 7 February 2023).
- Christoph Fink, Anna Hausmann, and Enrico Di Minin, “Online sentiment towards iconic species,” Biological Conservation 241 (2020): 108289, DOI: 10.1016/j.biocon.2019.108289 (accessed 7 February 2023).
- John Brandt et el., “Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum,” Journal of Computational Social Science 3 (2020): 167–188, DOI: 10.1007/s42001-019-00061-9 (accessed 7 February 2023).
- Philipp Poschmann and Jan Goldenstein, “Disambiguating and specifying social actors in big data: Using Wikipedia as a data source for demographic information,” Sociological Methods & Research 51, no.2 (2020): 887–925, DOI: 10.1177/0049124119882481 (accessed 7 February 2023).
- A.I. Michalski, G.M. Zharinov, and V.N. Anisimov, “Capacities and limitations of the use of data from Wikipedia for the analysis of human life expectancy,” Advances in Gerontology 11 (2021): 1–7, DOI: 10.1134/S2079057021010446 (accessed 7 February 2023).
- Jason Priem, Heather A. Piwowar, and Bradley M. Hemminger, “Altmetrics in the wild: using social media to explore scholarly impact,” ArXiv (2012): DOI:
http://arxiv.org/abs/1203.4745 (accessed 7 February 2023); Kayvan Kousha and Mike Thelwall, “Are Wikipedia citations important evidence of the impact of scholarly articles and books?,” Journal of the Association for Information Science and Technology 68, no.3 (2016): 762–779, DOI: https://doi.org/10.1002/asi.23694 (accessed 7 February 2023); Dariusz Jemielniak, Gwinyai Masukume, and Maciej Wilamowski, “The most influential medical journals according to Wikipedia: quantitative analysis,” Journal of Medical Internet Research 21, no.1 (2019):e11429 . DOI: https://doi.org/10.2196/11429 (accessed 7 February 2023); Banasik-Jemielniak, Jemielniak and Wilamowski, “Psychology and Wikipedia: Measuring psychology journals’ impact by Wikipedia citations,” 756–774. - L. Bornmann, R. Haunschild, and J. Adams, “Convergent validity of altmetrics and case studies for assessing societal impact: an analysis based on UK Research Excellence Framework (REF) data,” STI 2018 Conference Proceedings (2018): 41–48, DOI:
https://hdl.handle.net/1887/65305 (accessed 7 February 2023); Lutz Bornmann, Robin Haunschild, and Jonathan Adams, “Do altmetrics assess societal impact in a comparable way to case studies? An empirical test of the convergent validity of altmetrics based on data from the UK research excellence framework (REF),” Journal of Informetrics 13, no.1 (2019): 325–340, DOI: 10.1016/j.joi.2019.01.008 (accessed 7 February 2023). - MaryKay Orgill,
“Variation theory,” in Encyclopedia of the sciences of learning, ed. N.M. Seel (Boston: Springer, 2012), 3391–3393,https://link.springer.com/referenceworkentry/10.1007/978-1-4419-1428-6_272 (accessed 7 February 2023). DOI: 10.1007/978-1-4419-1428-6_272 - Mona Holmqvist, Charlotte Tullgren, and Göran Brante, ”Defining an object of learning and the forms it appears in: the intended, enacted and lived object of learning in a learning situation,” (paper presented at the 4th International Multi-Conference on Society, Cybernetics and Informatics, Winter Garden, Orlando, Florida,
29 June – 2 July 2010 ),http://urn.kb.se/resolve?urn=urn%3Anbn%3Ase%3Ahkr%3Adiva-7142 (accessed 7 February 2023). - Larry Sanger,
“The early history of Nupedia and Wikipedia: a memoir,” in Open sources 2.0: the continuing evolution, eds., Chris DiBona, Mark Stone, and Danese Cooper (Sebastapol, CA: O’Reilly Media), 307–338.