Applied and Computational Engineering

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Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)

Series Vol. 2 , 22 March 2023


Open Access | Article

The Open Secrets of the Model or Marginalized Minority: Political Campaign Participation of Asian Americans in the 21st Century

Maxwell Li * 1
1 Phillips Exeter Academy, Exeter NH 03833, USA

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 2, 1-9
Published 22 March 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Maxwell Li. The Open Secrets of the Model or Marginalized Minority: Political Campaign Participation of Asian Americans in the 21st Century. ACE (2023) Vol. 2: 1-9. DOI: 10.54254/2755-2721/2/20220608.

Abstract

With Asian American population on the rise, Asian Americans have more power than ever in political elections. While qualitative methods have been used to measure this uptrend in Asian American political participation, a thorough and cohesive quantitative study on the topic has yet to be done. Therefore, we utilize machine learning and dictionary-based matching to identify the most accurate numbers for Asian American political participation, categorized by political affiliations, geography, gender, etc. We find that Asian American political participation tends to the Democratic party, is predominantly male, and is proportional to the population size of the individual’s respective state.

Keywords

machine learning, big data., political campaign, names identification, Asian American

References

1. U.S. Census Bureau 2021. United States Election Project.

2. Budiman, Abby (2021) Asian Americans are the fastest-growing racial or ethnic group in the U.S. In: Pew Research Center, Washington, D.C.

3. https://www.pewresearch.org/fact-tank/2021/04/09/asian-americans-are-the-fastest-growing-racial-or-ethnic-group-in-the-u-s/

4. Krogstad JM, Lopez MH (2020) Why measuring the demographics of voters on election day is difficult. In: Pew Research Center. Washington, D.C. https://www.pewresearch.org/fact-tank/2014/11/04/why-measuring-the-demographics-of-voters-on-election-day-is-difficult/.

5. Krogstad JM, Lopez MH (2020) Why measuring the demographics of voters on election day is difficult. In: Pew Research Center. https://www.pewresearch.org/fact-tank/2014/11/04/why-measuring-the-demographics-of-voters-on-election-day-is-difficult/

6. Janelle Wong, S. Karthick Ramakrishnan, Taeku Lee, Jane Junn (2011), Asian American Political Participation Emerging Constituents and Their Political Identities, Russell Sage Foundation.

7. Tao-Fang Huang (2012), The myth of political participation among Asian Americans, PhD Thesis, University of Texas at Austin.

8. Alexander Kuo, Neil Malhotra, and Cecilia Hyunjung Mo (2017), Social Exclusion and Political Identity: The Case of Asian American Partisanship, The Journal of Politics, Volume 79, Number 1, 17-32.

9. File, Thom . 2015. “Who Votes? Congressional Elections and the American Electorate: 1978-2014.” Current Population Survey Reports, P20-577. U.S. Census Bureau, Washington, DC.

10. Nathan Chan. 2021. “Political Inequality in the Digital World: The Puzzle of Asian American Political Participation Online”. Political Research Quarterly, Volume 74, Number 4, 882-898.

11. Cho, Wendy. Tam (2002) Tapping Motives and Dynamics behind Campaign Contributions: Insights from the Asian American Case. American Politics Research 30, no. 4, 347–83. https://doi.org/10.1177/1532673X02030004001.

12. Cho, Wendy. Tam (2002) Tapping Motives and Dynamics behind Campaign Contributions: Insights from the Asian American Case. American Politics Research 30, no. 4, 347–83. https://doi.org/10.1177/1532673X02030004001.

13. Shah S (2016) Growth of Asian American political contributions. In: Data Bits. http://aapidata.com/blog/asian-am-political-contributions/.

14. Lauderdale, D.S., Kestenbaum, B. (2000) Asian American ethnic identification by surname. Population Research and Policy Review 19, 283–300. https://doi.org/10.1023/A:1026582308352

15. Wong, K. O., Zaïane, O. R., Davis, F. G., & Yasui, Y. (2020). A machine learning approach to predict ethnicity using personal name and census location in Canada. PloS one, 15(11), e0241239. https://doi.org/10.1371/journal.pone.0241239

16. Sood, Gaurav & Laohaprapanon, Suriyan (2018). Predicting Race and Ethnicity From the Sequence of Characters in a Name, https://doi.org/10.48550/arxiv.1805.02109

17. Sood, Gaurav & Laohaprapanon, Suriyan (2018). Predicting Race and Ethnicity From the Sequence of Characters in a Name, https://doi.org/10.48550/arxiv.1805.02109

18. Lauderdale, D.S., Kestenbaum, B. (2000) Asian American ethnic identification by surname. Population Research and Policy Review 19, 283–300. https://doi.org/10.1023/A:1026582308352

19. Kennedy, Lesley (2020). How the 2000 Election Came Down to a Supreme Court Decision, History.com, available at: https://www.history.com/news/2000-election-bush-gore-votes-supreme-court

20. Trei, Lisa (2004). Why Bush won in 2004, Stanford News, available at: https://news.stanford.edu/pr/2004/polls-1117.html

21. W. Yu, Nancy et al. (2005). The Asian American Vote: A Report on the AALDEF Multilingual Exit Poll in the 2004 Presidential Election, The Asian American Legal Defense and Education Fund, available at: https://www.aaldef.org/uploads/pdf/AALDEF-Exit-Poll-2004.pdf

22. The Asian American Legal Defense and Education Fund (2018). New Report on the Asian American Vote in the 2008 Elections Shows Widespread Support for Obama and Growing Numbers of First-Time Voters [Press release], available at: https://www.aaldef.org/press-release/new-report-on-the-asian-american-vote-in-the-2008-elections-shows-widespread-support-for-obama-and-g/

23. Rapfogel, Nicole & Gee, Emily & Calsyn, Maura (2020). 10 Ways the ACA Has Improved Health Care in the Past Decade, American Progress, available at: https://www.americanprogress.org/article/10-ways-aca-improved-health-care-past-decade/#:~:text=The%20ACA%20generated%20one%20of,since%20the%20ACA%20was%20enacted.

24. Borchers, Callum & Wirzbicki, Alan (2012). Asian-Americans backed Obama overwhelmingly, The Boston Globe, available at:

25. https://www.bostonglobe.com/news/politics/2012/11/09/asian-americans-voted-more-heavily-for-barack-obama-than/gdcKynV3Hq3OgSeOlNEhHM/story.html

26. Huetteman, Emmarie (2018). McCain’s Complicated Health Care Legacy: He Hated the ACA. He Also Saved It., Kaiser Health News, available at:

27. https://khn.org/news/mccains-complicated-health-care-legacy-he-hated-the-aca-he-also-saved-it/

28. Ramakrishnan, Karthick & Lee, Jennifer& Lee, Taeku & Wong, Janelle (2016). “National Asian American Survey (NAAS) 2016 Post-Election Survey.” Riverside, CA: National Asian American Survey, available at:

29. http://naasurvey.com/wp-content/uploads/2017/05/NAAS16-post-election-report.pdf

30. Ramakrishnan, Karthick et al. (2016). Report on Registered Voters in the Fall 2016 National Asian American Survey, National Asian American Survey, available at:

31. https://naasurvey.com/wp-content/uploads/2016/10/NAAS2016-Oct5-report.pdf

32. Ramakrishnan, Karthick et al. (2016). Report on Registered Voters in the Fall 2016 National Asian American Survey, National Asian American Survey, available at:

33. https://naasurvey.com/wp-content/uploads/2016/10/NAAS2016-Oct5-report.pdf

34. The Asian American Legal Defense and Education Fund (2016). The Asian American Vote 2016: A Report by The Asian American Legal Defense and Education Fund, available at:

35. https://www.aaldef.org/uploads/TheAsianAmericanVote2016-AALDEF.pdf

36. FeelTheBern Editors (2020). Bernie Sanders on Asian American & Pacific Islander Rights, FeelTheBern, available at: https://feelthebern.org/asian-american-pacific-islander-rights/

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)
ISBN (Print)
978-1-915371-19-5
ISBN (Online)
978-1-915371-20-1
Published Date
22 March 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/2/20220608
Copyright
22 March 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated