246
Views
0
CrossRef citations to date
0
Altmetric
Note

Measuring the name recognition of politicians through Wikipedia

, &

References

  • Abramowitz, A. I. 1975. “Name Familiarity, Reputation, and the Incumbency Effect in a Congressional Election.” Political Research Quarterly 28 (4): 668–684. doi:10.1177/106591297502800405.
  • Agarwal, P., M. Redi, N. Sastry, E. Wood, and A. Blick. 2020. “Wikipedia and Westminster.” In Proceedings of the 31st ACM Conference on Hypertext and Social Media, New York, NY, USA, 13 July 2020, pp. 161–166. ACM. doi:10.1145/3372923.3404817.
  • Blakesley, J. 2020. “World Literature According to Wikipedia Popularity and Book Translations: The Case of Modern Italian Poets.” Comparative Critical Studies 17 (3): 433–458. doi:10.3366/ccs.2020.0373.
  • Broockman, D. E., and D. P. Green. 2014. “ Do Online Advertisements Increase Political Candidates’ Name Recognition or Favorability? Evidence from Randomized Field Experiments.” Political Behavior 36 (2): 263–289. doi:10.1007/s11109-013-9239-z.
  • Burden, B. C. 2002. “When Bad Press Is Good News.” Harvard International Journal of Press/Politics 7 (3): 76–89. doi:10.1177/1081180X0200700305.
  • Cao, Y., H. Mehta, A. E. Norcross, M. Taniguchi, and J. S. Lindsey. 2020. “Analysis of Wikipedia Pageviews to Identify Popular Chemicals.” In Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications XII (eds S Achilefu and R Raghavachari), 21 February 2020, pp. 1–17. SPIE. doi:10.1117/12.2542835.
  • Cergol, B., and M. Omladič. 2015. “What Can Wikipedia and Google Tell Us About Stock Prices under Different Market Regimes?” Ars Mathematica Contemporanea 9 (2): 301–320. doi:10.26493/1855-3974.561.37f.
  • Coleman, J. J., and P. F. Manna. 2000. “Congressional Campaign Spending and the Quality of Democracy.” The Journal of Politics 62 (3): 757–789. doi:10.1111/0022-3816.00032.
  • Gaissmaier, W., and J. N. Marewski. 2011. “Forecasting Elections with Mere Recognition from Small, Lousy Samples: A Comparison of Collective Recognition, Wisdom of Crowds, and Representative Polls.” Judgment and Decision Making 6 (1): 73–88.
  • Göbel, S., and S. Munzert. 2018. “Political Advertising on the Wikipedia Marketplace of Information.” Social Science Computer Review 36 (2): 157–175. doi:10.1177/0894439317703579.
  • Göbel, S., and S. Munzert. 2021. “The Comparative Legislators Database.” British Journal of Political Science, 1–11. doi:10.1017/S0007123420000897.
  • Hickmann, K. S., G. Fairchild, R. Priedhorsky, N. Generous, J. M. Hyman, A. Deshpande, and S. Y. Del Valle. 2015. “Forecasting the 2013–2014 Influenza Season Using Wikipedia.” PLOS Computational Biology 11 (5): e1004239. doi:10.1371/journal.pcbi.1004239.
  • Jacobson, G. C. 1978. “The Effects of Campaign Spending in Congressional Elections.” American Political Science Review 72 (2): 469–491. doi:10.2307/1954105.
  • Jankowski-Lorek, M., L. Ostrowski, P. Turek, and A. Wierzbicki. 2013. “Modeling Wikipedia Admin Elections Using Multidimensional Behavioral Social Networks.” Social Network Analysis and Mining 3 (4): 787–801. doi:10.1007/s13278-012-0092-6.
  • Kam, C. D., and E. J. Zechmeister. 2013. “Name Recognition and Candidate Support.” American Journal of Political Science 00 (0): 1–16. doi:10.1111/ajps.12034.
  • Keyes, O., and J. Lewis. 2020. pageviews: An API Client for Wikimedia Traffic Data. Available at: https://cran.r-project.org/package=pageviews.
  • Lenart, S. 1997. “Naming Names in a Midwestern Town: The Salience of Democratic Presidential Hopefuls in Early 1992.” Political Behavior 19 (4): 365–382. doi:10.1023/A:1024899822814.
  • Lewoniewski, W., K. Węcel, and W. Abramowicz. 2020. “Modeling Popularity and Reliability of Sources in Multilingual Wikipedia.” Information 11 (5): 1–37. doi:10.3390/info11050263.
  • Mann, T. E., and R. E. Wolfinger. 1980. “Candidates and Parties in Congressional Elections.” American Political Science Review 74 (3): 617–632. doi:10.2307/1958145.
  • McKee, S. C. 2008. “Redistricting and Familiarity with U.S. House Candidates.” American Politics Research 36 (6): 962–979. doi:10.1177/1532673X08322881.
  • Messner, M., and J. South. 2011. “Legitimizing Wikipedia.” Journalism Practice 5 (2): 145–160. doi:10.1080/17512786.2010.506060.
  • Mestyán, M., T. Yasseri, and J. Kertész. 2013. “Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data.” PLoS ONE 8 (8): e71226. doi:10.1371/journal.pone.0071226.
  • Munzert, S. 2018. Measuring the Importance of Political Elites. doi:10.31235/osf.io/t8gs5.
  • Panagopoulos, C., and D. P. Green. 2008. “Field Experiments Testing the Impact of Radio Advertisements on Electoral Competition.” American Journal of Political Science 52 (1): 156–168. doi:10.1111/j.1540-5907.2007.00305.x.
  • Pradel, F. 2020. “Biased Representation of Politicians in Google and Wikipedia Search? The Joint Effect of Party Identity, Gender Identity and Elections.” Political Communication, 1–32. doi:10.1080/10584609.2020.1793846.
  • Roll, U., J. C. Mittermeier, G. I. Diaz, M. Novosolov, A. Feldman, Y. Itescu, S. Meiri, and R. Grenyer. 2016. “Using Wikipedia Page Views to Explore the Cultural Importance of Global Reptiles.” Biological Conservation 204: 42–50. doi:10.1016/j.biocon.2016.03.037.
  • Salem, H., and F. Stephany. 2020. “Wikipedia: A Challenger’s Best Friend? Utilising Information-Seeking Behaviour Patterns to Predict US Congressional Elections.” SSRN Electronic Journal, 1–36. doi:10.2139/ssrn.3720034.
  • Schroeder, R., and L. Taylor. 2015. “Big Data and Wikipedia Research: Social Science Knowledge across Disciplinary Divides.” Information, Communication & Society 18 (9): 1039–1056. doi:10.1080/1369118X.2015.1008538.
  • SimilarWeb. 2021. Top Websites Ranking. Accessed March 5, 2021. https://www.similarweb.com/top-websites/czech-republic/.
  • Smith, B. K., and A. Gustafson. 2017. “Using Wikipedia to Predict Election Outcomes: Online Behavior as a Predictor of Voting.” Public Opinion Quarterly 81 (3): 714–735. doi:10.1093/poq/nfx007.
  • Stephany, F., and F. Braesemann. 2017. “An Exploration of Wikipedia Data as a Measure of Regional Knowledge Distribution.” In Social Informatics. SocInfo 2017. Lecture Notes in Computer Science, vol 10540, Cham, 2017, pp. 31–40. Springer. doi:10.1007/978-3-319-67256-4_4.
  • Vardi, E., L. Muchnik, A. Conway, and M. Breakstone. 2021. “WikiShark.” In Companion Proceedings of the Web Conference 2021, New York, NY, USA, 19 April 2021, pp. 558–571. ACM. doi:10.1145/3442442.3452341.
  • Wei, P., and N. Wang. 2016. “Wikipedia and Stock Return.” In Proceedings of the 25th International Conference Companion on World Wide Web - WWW ‘16 Companion, New York, New York, USA, 2016, pp. 591–594. ACM Press. doi:10.1145/2872518.2890089.
  • Wikipedia. 2021a. What Factors Can Increase a Page’s Viewing? Accessed March 5, 2021. https://en.wikipedia.org/wiki/Wikipedia:Pageview_statistics#What_factors_can_increase_a_page’s_viewing?.
  • Wikipedia. 2021b. WikiProject Every Politician. Accessed March 5, 2021. https://www.wikidata.org/wiki/Wikidata:WikiProject_every_politician.
  • Yasseri, T., and J. Bright. 2014. “Can Electoral Popularity Be Predicted Using Socially Generated Big Data?” it - Information Technology 56 (5). doi:10.1515/itit-2014-1046.
  • Yasseri, T., and J. Bright. 2016. “Wikipedia Traffic Data and Electoral Prediction: Towards Theoretically Informed Models.” EPJ Data Science 5 (1): 22. doi:10.1140/epjds/s13688-016-0083-3.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.