Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process

Ahmet Anıl Müngen; İrfan Aygün; Mehmet Kaya

doi:10.35377/saucis.03.03.830867

EN

Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process

Abstract

Nowadays, social media and online sharing sites are frequently used to share thoughts about daily events. Thanks to the posts made by internet users on these platforms, first, quite big data is generated to interpret the agenda. More than 10,000 comments of more than 5000 users made about COVID-19 from online websites between 15 March and 15 May were collected in this study. Then, emotional analysis on these comments was carried out with BERT, GRU, LSTM and TF-IDF methods. The changes in the amount of user comments and the emotions reflected by the comments have been associated with the actual events of these dates. It has been determined which types of events affect users more. In addition, the emotional response changes of the users to the official COVID-19 statistics were measured and the peak points of the emotional changes were determined. Finally, the emotion classification methods applied were evaluated by user questionnaires and their successes were determined according to F-Measure.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Ahmet Anıl Müngen
0000-0002-5691-6507
Türkiye

İrfan Aygün
0000-0003-4889-4704
Türkiye

Mehmet Kaya ^*
0000-0003-2995-8282
Türkiye

Publication Date

December 30, 2020

Submission Date

November 24, 2020

Acceptance Date

November 24, 2020

Published in Issue

Year 2020 Volume: 3 Number: 3

DOI

https://doi.org/10.35377/saucis.03.03.830867

IZ

https://izlik.org/JA67TB67XL

Cite

RIS / Bibtex

APA

Müngen, A. A., Aygün, İ., & Kaya, M. (2020). Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process. Sakarya University Journal of Computer and Information Sciences, 3(3), 250-263. https://doi.org/10.35377/saucis.03.03.830867

AMA

1.Müngen AA, Aygün İ, Kaya M. Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process. SAUCIS. 2020;3(3):250-263. doi:10.35377/saucis.03.03.830867

Chicago

Müngen, Ahmet Anıl, İrfan Aygün, and Mehmet Kaya. 2020. “Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process”. Sakarya University Journal of Computer and Information Sciences 3 (3): 250-63. https://doi.org/10.35377/saucis.03.03.830867.

EndNote

Müngen AA, Aygün İ, Kaya M (December 1, 2020) Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process. Sakarya University Journal of Computer and Information Sciences 3 3 250–263.

IEEE

[1]A. A. Müngen, İ. Aygün, and M. Kaya, “Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process”, SAUCIS, vol. 3, no. 3, pp. 250–263, Dec. 2020, doi: 10.35377/saucis.03.03.830867.

ISNAD

Müngen, Ahmet Anıl - Aygün, İrfan - Kaya, Mehmet. “Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process”. Sakarya University Journal of Computer and Information Sciences 3/3 (December 1, 2020): 250-263. https://doi.org/10.35377/saucis.03.03.830867.

JAMA

1.Müngen AA, Aygün İ, Kaya M. Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process. SAUCIS. 2020;3:250–263.

MLA

Müngen, Ahmet Anıl, et al. “Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process”. Sakarya University Journal of Computer and Information Sciences, vol. 3, no. 3, Dec. 2020, pp. 250-63, doi:10.35377/saucis.03.03.830867.

Vancouver

1.Ahmet Anıl Müngen, İrfan Aygün, Mehmet Kaya. Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process. SAUCIS. 2020 Dec. 1;3(3):250-63. doi:10.35377/saucis.03.03.830867

Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process

Öz

Finding the Relationship Between News and Social Media Users’ Emotions in the COVID-19 Process

Abstract

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References

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