Investigating the Dynamics of Polarization in Online Discourse During COVID-19 Pandemic - Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Access content directly
Conference Papers Year : 2021

Investigating the Dynamics of Polarization in Online Discourse During COVID-19 Pandemic

Abstract

The socio-cultural polarization induced due to information and communication technology because of the selective online exposure during COVID-19 has been a major cause of concern around the globe. In this paper, we use random network theory-based simulation technique to investigate the temporal dynamics of opinion formation on YouTube videos. Our findings reveal that as the pandemic unfolded, the degree of polarization in the online discourse has increased with time. This study is significant for understanding that online discourse on sociocultural issues can lead to polarization particularly in crisis situations such as a pandemic and exacerbate the social divide.
Fichier principal
Vignette du fichier
512902_1_En_58_Chapter.pdf (247.36 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03648117 , version 1 (21-04-2022)

Licence

Attribution

Identifiers

Cite

Samrat Gupta, Gaurav Jain, Amit Anand Tiwari. Investigating the Dynamics of Polarization in Online Discourse During COVID-19 Pandemic. 20th Conference on e-Business, e-Services and e-Society (I3E), Sep 2021, Galway, Ireland. pp.704-709, ⟨10.1007/978-3-030-85447-8_58⟩. ⟨hal-03648117⟩
33 View
5 Download

Altmetric

Share

Gmail Facebook X LinkedIn More