IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v66y2015i9p1817-1831.html
   My bibliography  Save this article

Developing a bottom-up, user-based method of web register classification

Author

Listed:
  • Jesse Egbert
  • Douglas Biber
  • Mark Davies

Abstract

No abstract is available for this item.

Suggested Citation

  • Jesse Egbert & Douglas Biber & Mark Davies, 2015. "Developing a bottom-up, user-based method of web register classification," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1817-1831, September.
    • Handle: RePEc:bla:jinfst:v:66:y:2015:i:9:p:1817-1831
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23308
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    2. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    3. Siddharth Suri & Duncan J Watts, 2011. "Cooperation and Contagion in Web-Based, Networked Public Goods Experiments," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rebecca R Carter & Analisa DiFeo & Kath Bogie & Guo-Qiang Zhang & Jiayang Sun, 2014. "Crowdsourcing Awareness: Exploration of the Ovarian Cancer Knowledge Gap through Amazon Mechanical Turk," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-10, January.
    2. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    3. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
    4. Wladislaw Mill & Jonathan Stäbler, 2023. "Spite in Litigation," CESifo Working Paper Series 10290, CESifo.
    5. Yali Dong & Cong Li & Yi Tao & Boyu Zhang, 2015. "Evolution of Conformity in Social Dilemmas," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    6. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2020. "Positional concerns and social network structure: An experiment," European Economic Review, Elsevier, vol. 129(C).
    7. Hans-Theo Normann & Till Requate & Israel Waichman, 2014. "Do short-term laboratory experiments provide valid descriptions of long-term economic interactions? A study of Cournot markets," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 371-390, September.
    8. Floriana Gargiulo & José J Ramasco, 2012. "Influence of Opinion Dynamics on the Evolution of Games," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    9. Marco Faravelli & Kenan Kalayci & Carlos Pimienta, 2020. "Costly voting: a large-scale real effort experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 468-492, June.
    10. Giorgia Ponsi & Maria Serena Panasiti & Salvatore Maria Aglioti & Marco Tullio Liuzza, 2017. "Right-wing authoritarianism and stereotype-driven expectations interact in shaping intergroup trust in one-shot vs multiple-round social interactions," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-23, December.
    11. Dennie van Dolder & Vincent Buskens, 2014. "Individual Choices in Dynamic Networks: An Experiment on Social Preferences," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-16, April.
    12. Lea Skræp Svenningsen, 2017. "Distributive outcomes matter: Measuring social preferences for climate policy," IFRO Working Paper 2017/11, University of Copenhagen, Department of Food and Resource Economics.
    13. Yang, Zhiyong & Janakiraman, Narayan & Hossain, Mehdi T. & Grisaffe, Douglas B., 2020. "Differential effects of pay-it-forward and direct-reciprocity on prosocial behavior," Journal of Business Research, Elsevier, vol. 121(C), pages 400-408.
    14. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    15. Hadzibeganovic, Tarik & Stauffer, Dietrich & Han, Xiao-Pu, 2018. "Interplay between cooperation-enhancing mechanisms in evolutionary games with tag-mediated interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 676-690.
    16. Takahiro Ezaki & Naoki Masuda, 2017. "Reinforcement learning account of network reciprocity," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-8, December.
    17. Jillian J Jordan & David G Rand & Samuel Arbesman & James H Fowler & Nicholas A Christakis, 2013. "Contagion of Cooperation in Static and Fluid Social Networks," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
    18. Wladislaw Mill & Cornelius Schneider, 2023. "The Bright Side of Tax Evasion," CESifo Working Paper Series 10615, CESifo.
    19. Marco A Janssen & Allen Lee & Hari Sundaram, 2016. "Stimulating Contributions to Public Goods through Information Feedback: Some Experimental Results," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    20. Angelovski, Andrej & Di Cagno, Daniela & Güth, Werner & Marazzi, Francesca & Panaccione, Luca, 2018. "Behavioral spillovers in local public good provision: An experimental study," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 116-134.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:66:y:2015:i:9:p:1817-1831. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.