Aduragba, Olanrewaju Tahir;
Yu, Jialin;
Cristea, Alexandra I;
(2024)
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic.
In:
Proceedings of the 2023 IEEE International Conference on Big Data (BigData).
(pp. pp. 5704-5713).
IEEE: Sorrento, Italy.
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Abstract
During the COVID-19 pandemic, the Church closed its physical doors for the first time in about 800 years, which is, arguably, a cataclysmic event. Other religions have found themselves in a similar situation, and they were practically forced to move online, which is an unprecedented occasion. In this paper, we analyse this sudden change in religious activities twofold: we create and deliver a questionnaire, as well as analyse Twitter data, to understand people’s perceptions and activities related to religious activities online. Importantly, we also analyse the temporal variations in this process, by analysing a period of 3 months: July-September 2020. Additionally to the separate analysis of the two data sources, we also discuss the implications from triangulating the results.
| Type: | Proceedings paper |
|---|---|
| Title: | Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic |
| Event: | 2023 IEEE International Conference on Big Data (BigData) |
| Dates: | 15 Dec 2023 - 18 Dec 2023 |
| ISBN-13: | 979-8-3503-2445-7 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/bigdata59044.2023.10386754 |
| Publisher version: | http://dx.doi.org/10.1109/bigdata59044.2023.103867... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Social data mining, Natural language processing, Twitter |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10187976 |
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