Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions

Funerals are a reflective practice to bid farewell to the departed soul. Different religions, cultural traditions, rituals, and social beliefs guide how funeral practices take place. Family and friends gather together to support each other in times of grief. However, during the coronavirus pandemic,...

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Main Authors: Sweta Saraff, Tushar Singh, Ramakrishna Biswal
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.626638/full
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spelling doaj-6b85a73e15794aa2bb834d2512de2aab2021-02-18T04:48:32ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-02-011210.3389/fpsyg.2021.626638626638Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic DimensionsSweta Saraff0Tushar Singh1Ramakrishna Biswal2Amity Institute of Psychology and Allied Sciences, Amity University, Kolkata, IndiaDepartment of Psychology, Banaras Hindu University, Varanasi, IndiaDepartment of Humanities and Social Sciences, National Institute of Technology Rourkela, Sundargarh, IndiaFunerals are a reflective practice to bid farewell to the departed soul. Different religions, cultural traditions, rituals, and social beliefs guide how funeral practices take place. Family and friends gather together to support each other in times of grief. However, during the coronavirus pandemic, the way funerals are taking place is affected by the country's rules and region to avoid the spread of infection. The present study explores the media portrayal of public sentiments over funerals. In particular, the present study tried to identify linguistic dimensions associated with lexical components of social processes, affective processes, fear, and disgust. An exhaustive search of newspaper coverage of funeral and related articles was made for a specific corona period. After an initial screening for the details and language used, a total of 46 newspaper articles on funerals were finalized for the analysis. Linguistic Inquiry and Word Count (LIWC) software was used to determine the association between linguistic dimensions of function words and words related to social and affective processes, as presented in the newspaper articles. Sentiment Analysis and Cognition Engine (SEANCE) was applied for the analysis of sentiment, social cognition, and social order. Bayesian correlation analysis and regression revealed positive and significant associations between function words and affective processes, between pronouns and social processes, and between negative adjectives and psychological processes of fear and disgust. Also, significant negative associations were found between polarity nouns and psychological processes of fear and disgust and between polarity verbs and psychological processes of fear and disgust. Bayes factor 10 provides strong evidence in favor of the study hypotheses. The media is influenced by the prevailing sentiments in society and reflects their perception of the current social order and beliefs. The findings provide a glimpse into the prevailing sentiment of society through the lens of media coverage. These understandings are expected to enhance our observations of how people express their feelings over the loss of their loved ones and help mental health professionals develop their therapeutic protocols to treat the coronavirus disease 2019 (COVID-19)-affected population.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.626638/fullsentiment analysisCOVID-19LIWCSEANCEsocial cognitionaffect
collection DOAJ
language English
format Article
sources DOAJ
author Sweta Saraff
Tushar Singh
Ramakrishna Biswal
spellingShingle Sweta Saraff
Tushar Singh
Ramakrishna Biswal
Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions
Frontiers in Psychology
sentiment analysis
COVID-19
LIWC
SEANCE
social cognition
affect
author_facet Sweta Saraff
Tushar Singh
Ramakrishna Biswal
author_sort Sweta Saraff
title Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions
title_short Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions
title_full Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions
title_fullStr Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions
title_full_unstemmed Coronavirus Disease 2019: Exploring Media Portrayals of Public Sentiment on Funerals Using Linguistic Dimensions
title_sort coronavirus disease 2019: exploring media portrayals of public sentiment on funerals using linguistic dimensions
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2021-02-01
description Funerals are a reflective practice to bid farewell to the departed soul. Different religions, cultural traditions, rituals, and social beliefs guide how funeral practices take place. Family and friends gather together to support each other in times of grief. However, during the coronavirus pandemic, the way funerals are taking place is affected by the country's rules and region to avoid the spread of infection. The present study explores the media portrayal of public sentiments over funerals. In particular, the present study tried to identify linguistic dimensions associated with lexical components of social processes, affective processes, fear, and disgust. An exhaustive search of newspaper coverage of funeral and related articles was made for a specific corona period. After an initial screening for the details and language used, a total of 46 newspaper articles on funerals were finalized for the analysis. Linguistic Inquiry and Word Count (LIWC) software was used to determine the association between linguistic dimensions of function words and words related to social and affective processes, as presented in the newspaper articles. Sentiment Analysis and Cognition Engine (SEANCE) was applied for the analysis of sentiment, social cognition, and social order. Bayesian correlation analysis and regression revealed positive and significant associations between function words and affective processes, between pronouns and social processes, and between negative adjectives and psychological processes of fear and disgust. Also, significant negative associations were found between polarity nouns and psychological processes of fear and disgust and between polarity verbs and psychological processes of fear and disgust. Bayes factor 10 provides strong evidence in favor of the study hypotheses. The media is influenced by the prevailing sentiments in society and reflects their perception of the current social order and beliefs. The findings provide a glimpse into the prevailing sentiment of society through the lens of media coverage. These understandings are expected to enhance our observations of how people express their feelings over the loss of their loved ones and help mental health professionals develop their therapeutic protocols to treat the coronavirus disease 2019 (COVID-19)-affected population.
topic sentiment analysis
COVID-19
LIWC
SEANCE
social cognition
affect
url https://www.frontiersin.org/articles/10.3389/fpsyg.2021.626638/full
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