@inproceedings{discovery10187976,
          volume = {2023},
           month = {January},
       booktitle = {Proceedings of the 2023 IEEE International Conference on Big Data (BigData)},
       publisher = {IEEE},
         address = {Sorrento, Italy},
         journal = {2023 IEEE International Conference on Big Data (BigData)},
            year = {2024},
           title = {Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic},
          series = {IEEE International Conference on Big Data (BigData)},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
           pages = {5704--5713},
        keywords = {Social data mining, Natural language processing, Twitter},
          author = {Aduragba, Olanrewaju Tahir and Yu, Jialin and Cristea, Alexandra I},
        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.},
             url = {http://dx.doi.org/10.1109/bigdata59044.2023.10386754}
}