Publications
2024
Gyftopoulos, Sotirios; Drosatos, George; Fico, Giuseppe; Pecchia, Leandro; Kaldoudi, Eleni
Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public Journal Article
In: Behavioral Sciences, vol. 14, iss. 2, no. 128, 2024.
@article{gyftopoulos2024analysisb,
title = {Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public},
author = {Sotirios Gyftopoulos and George Drosatos and Giuseppe Fico and Leandro Pecchia and Eleni Kaldoudi},
url = {https://doi.org/10.3390/bs14020128},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Behavioral Sciences},
volume = {14},
number = {128},
issue = {2},
abstract = {The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an “infodemic”, a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public’s response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public’s preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an “infodemic”, a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public’s response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public’s preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.
2023
Gyftopoulos, Sotirios; Drosatos, George; Pecchia, Leandro; Fico, Giuseppe; Kaldoudi, Eleni
Interaction Between Pharmaceutical Companies and the Public During the COVID-19 Pandemic—A Twitter Analysis Proceedings Article
In: Mediterranean Conference on Medical and Biological Engineering and Computing, pp. 826–834, Springer, 2023.
@inproceedings{gyftopoulos2023interaction,
title = {Interaction Between Pharmaceutical Companies and the Public During the COVID-19 Pandemic—A Twitter Analysis},
author = {Sotirios Gyftopoulos and George Drosatos and Leandro Pecchia and Giuseppe Fico and Eleni Kaldoudi},
url = {https://link.springer.com/chapter/10.1007/978-3-031-49062-0_86},
year = {2023},
date = {2023-01-01},
booktitle = {Mediterranean Conference on Medical and Biological Engineering and Computing},
pages = {826--834},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Peschke, Lutz; Gyftopoulos, Sotirios; Kapusuzoğlu, Ayhan; Folkvord, Frans; Ağca, Yasemin Gümüş; Kaldoudi, Eleni; Drosatos, George; Ceylan, Nildağ Başak; Pecchia, Leandro; Peschke, Seldağ Güneş
Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic Journal Article
In: Journal of the Knowledge Economy, 2023, ISSN: 1868-7873.
@article{Peschke_2023,
title = {Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic},
author = {Lutz Peschke and Sotirios Gyftopoulos and Ayhan Kapusuzoğlu and Frans Folkvord and Yasemin Gümüş Ağca and Eleni Kaldoudi and George Drosatos and Nildağ Başak Ceylan and Leandro Pecchia and Seldağ Güneş Peschke},
url = {http://dx.doi.org/10.1007/s13132-023-01537-w},
doi = {10.1007/s13132-023-01537-w},
issn = {1868-7873},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Journal of the Knowledge Economy},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}