An Analysis of the Characteristics of Verified Twitter Users

Abdullah Talha Kabakuş; Mehmet Şimşek

doi:10.35377/saucis.02.03.649708

TR EN

An Analysis of the Characteristics of Verified Twitter Users

Abstract

Twitter, the most popular microblog, contains a large variety of users as a result of its huge popularity. Twitter manually verifies the accounts which are deemed worthy of public interest. As a natural consequence of being verified, users trust these verified accounts since they represent legitimate users, and are managed by authorized users. To the best of our knowledge, Twitter has never revealed the requirements of being verified. In this study, in order to shed light on the characteristics of verified Twitter users, a software, which is based on Python programming language that utilizes a recent dataset, which consists of 297,798 verified Twitter users, was implemented within the scope of this study. The characteristics of verified Twitter users such as being public, and having a customized profile were revealed as a result of the analysis of the utilized dataset.

Keywords

Twitter,microblog,social media analysis,verified users,verification

References

[1] “Q1 2019 Earnings Report,” Twitter, 2019. [Online]. Available: https://s22.q4cdn.com/826641620/files/doc_financials/2019/q1/Q1-2019-Slide-Presentation.pdf. [Accessed: 15-Nov-2019].
[2] “Agency Playbook,” Twitter, 2019. [Online]. Available: https://cdn.cms-twdigitalassets.com/content/dam/business-twitter/resources/Twitter_Agency_Playbook_2019.pdf. [Accessed: 15-Nov-2019].
[3] “2018 Twitter Report,” Mention, 2018. [Online]. Available: https://info.mention.com/hubfs/Twitter Engagement Report 2018 %7C Mention.pdf. [Accessed: 15-Nov-2019].
[4] A. Pak and P. Paroubek, “Twitter as a Corpus for Sentiment Analysis and Opinion Mining,” in Proceedings of LREC’10, the Seventh International Conference on Language Resources and Evaluation, 2010, pp. 1320–1326.
[5] S. Waisbord and A. Amado, “Populist communication by digital means: presidential Twitter in Latin America,” Inf. Commun. Soc., vol. 20, no. 9, pp. 1330–1346, 2017.
[6] H. Kwak, C. Lee, H. Park, and S. Moon, “What is Twitter, a social network or a news media?,” in Proceedings of the 19th International Conference on World Wide Web (WWW ’10), 2010, pp. 591–600.
[7] R. Li, K. H. Lei, R. Khadiwala, and K. C. C. Chang, “TEDAS: A twitter-based event detection and analysis system,” in Proceedings of the 2012 IEEE 28th International Conference on Data Engineering, 2012, pp. 1273–1276.
[8] I. Paul, A. Khattar, P. Kumaraguru, M. Gupta, and S. Chopra, “Elites Tweet? Characterizing the Twitter Verified User Network,” in Proceedings of the 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 2019.

[9] M. Hentschel, O. Alonso, S. Counts, and V. Kandylas, “Finding Users We Trust: Scaling Up Verified Twitter Users Using Their Communication Patterns,” in Proceedings of the 8th International AAAI Conference on Weblogs and Social Media (ICWSM 2014), 2014, pp. 591–594.
[10] O. Varol, E. Ferrara, C. A. Davis, F. Menczer, and A. Flammini, “Online Human-Bot Interactions: Detection, Estimation, and Characterization,” in Proceedings of the 11th International Conference on Web and Social Media (ICWSM 2017), 2017.
[11] C. De Micheli and A. Stroppa, “Twitter and the underground market,” 2013. [Online]. Available: https://nexa.polito.it/nexacenterfiles/lunch-11-de_micheli-stroppa.pdf. [Accessed: 16-Nov-2019].
[12] Y. Roth and D. Harvey, “How Twitter is fighting spam and malicious automation,” Twitter, 2018. [Online]. Available: https://blog.twitter.com/en_us/topics/company/2018/how-twitter-is-fighting-spam-and-malicious-automation.html. [Accessed: 16-Nov-2019].
[13] H. L. LaMarre and Y. Suzuki-Lambrecht, “Tweeting democracy? Examining Twitter as an online public relations strategy for congressional campaigns’,” Public Relat. Rev., vol. 39, no. 4, pp. 360–368, 2013.
[14] Jason Baumgartner, “All Verified Twitter Users (100% complete) in ndjson format : datasets,” pushshift.io, 2018. [Online]. Available: https://www.reddit.com/r/datasets/comments/8s6nqz/all_verified_twitter_users_100_complete_in_ndjson/. [Accessed: 15-Nov-2019].
[15] “API reference index — Twitter Developers,” Twitter, 2019. [Online]. Available: https://developer.twitter.com/en/docs/api-reference-index. [Accessed: 15-Nov-2019].
[16] B. Erşahin, Ö. Aktaş, D. Kilmç, and C. Akyol, “Twitter fake account detection,” in 2nd International Conference on Computer Science and Engineering (UBMK 2017), 2017, pp. 388–392.
[17] “pandas: Python Data Analysis Library,” 2019. [Online]. Available: https://pandas.pydata.org. [Accessed: 16-Nov-2019].
[18] “Matplotlib: Python plotting — Matplotlib 3.1.1 documentation,” 2019. [Online]. Available: https://matplotlib.org. [Accessed: 16-Nov-2019].
[19] T. Velayutham and P. K. Tiwari, “Bot Identification: Helping Analysts for Right Data in Twitter,” in Proceedings - 2017 3rd International Conference on Advances in Computing, Communication and Automation (Fall) (ICACCA 2017), 2018, pp. 1–5.
[20] S. Yardi, D. Romero, G. Schoenebeck, and D. Boyd, “Detecting spam in a Twitter network,” First Monday, vol. 15, no. 1, 2010.

Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Abdullah Talha Kabakuş ^*
0000-0003-2181-4292
Türkiye

Mehmet Şimşek
0000-0002-9797-5028
Türkiye

Publication Date

December 31, 2019

Submission Date

November 21, 2019

Acceptance Date

December 30, 2019

Published in Issue

Year 2019 Volume: 2 Number: 3

DOI

https://doi.org/10.35377/saucis.02.03.649708

IZ

https://izlik.org/JA86WY79LW

Cite

RIS / Bibtex

APA

Kabakuş, A. T., & Şimşek, M. (2019). An Analysis of the Characteristics of Verified Twitter Users. Sakarya University Journal of Computer and Information Sciences, 2(3), 180-186. https://doi.org/10.35377/saucis.02.03.649708

AMA

1.Kabakuş AT, Şimşek M. An Analysis of the Characteristics of Verified Twitter Users. SAUCIS. 2019;2(3):180-186. doi:10.35377/saucis.02.03.649708

Chicago

Kabakuş, Abdullah Talha, and Mehmet Şimşek. 2019. “An Analysis of the Characteristics of Verified Twitter Users”. Sakarya University Journal of Computer and Information Sciences 2 (3): 180-86. https://doi.org/10.35377/saucis.02.03.649708.

EndNote

Kabakuş AT, Şimşek M (December 1, 2019) An Analysis of the Characteristics of Verified Twitter Users. Sakarya University Journal of Computer and Information Sciences 2 3 180–186.

IEEE

[1]A. T. Kabakuş and M. Şimşek, “An Analysis of the Characteristics of Verified Twitter Users”, SAUCIS, vol. 2, no. 3, pp. 180–186, Dec. 2019, doi: 10.35377/saucis.02.03.649708.

ISNAD

Kabakuş, Abdullah Talha - Şimşek, Mehmet. “An Analysis of the Characteristics of Verified Twitter Users”. Sakarya University Journal of Computer and Information Sciences 2/3 (December 1, 2019): 180-186. https://doi.org/10.35377/saucis.02.03.649708.

JAMA

1.Kabakuş AT, Şimşek M. An Analysis of the Characteristics of Verified Twitter Users. SAUCIS. 2019;2:180–186.

MLA

Kabakuş, Abdullah Talha, and Mehmet Şimşek. “An Analysis of the Characteristics of Verified Twitter Users”. Sakarya University Journal of Computer and Information Sciences, vol. 2, no. 3, Dec. 2019, pp. 180-6, doi:10.35377/saucis.02.03.649708.

Vancouver

1.Abdullah Talha Kabakuş, Mehmet Şimşek. An Analysis of the Characteristics of Verified Twitter Users. SAUCIS. 2019 Dec. 1;2(3):180-6. doi:10.35377/saucis.02.03.649708