TY - JOUR
T1 - News Coverage of the COVID-19 Pandemic on Social Media and the Public's Negative Emotions
T2 - Computational Study
AU - Wang, Hanjing
AU - Li, Yupeng
AU - Ning, Xuan
N1 - This study was supported in part by the National Natural Science Foundation of China under grant 72304041, in part by the Guangdong Basic and Applied Basic Research Foundation under grant 2023A1515011562, in part by the National Natural Science Foundation of China under grant 62202402, in part by the Guangdong Basic and Applied Basic Research Foundation under grant 2022A1515011583, in part by Beijing Normal University-Hong Kong Baptist University United International College Start-up Research Fund (reference UICR0700026-22), in part by Start-up research fund of Beijing Normal University-Hong Kong Baptist University United International College (UICR0700026-22), in part by the One-Off Tier 2 Start-Up grant (2020/2021) of Hong Kong Baptist University under grant RC-OFSGT2/20-21/COMM/002, in part by the Startup grant (Tier 1) for New Academics of Hong Kong Baptist University under grant AY2020/21, in part by the AI-Info Communication Study Scheme 2021/22 (reference AIS 21-22/06), and in part by the Digital Scholarship grant 2022/23 (first round; reference DSG/2223/108).
Publisher Copyright:
© 2024 Hanjing Wang, Yupeng Li, Xuan Ning.
PY - 2024/6/6
Y1 - 2024/6/6
N2 - Background:Social media has become an increasingly popular and critical tool for users to digest diverse information and express their perceptions and attitudes. While most studies endeavor to delineate the emotional responses of social media users, there is limited research exploring the factors associated with the emergence of emotions, particularly negative ones, during news consumption.Objective:We aim to first depict the web coverage by news organizations on social media and then explore the crucial elements of news coverage that trigger the public’s negative emotions. Our findings can act as a reference for responsible parties and news organizations in times of crisis.Methods:We collected 23,705 Facebook posts with 1,019,317 comments from the public pages of representative news organizations in Hong Kong. We used text mining techniques, such as topic models and Bidirectional Encoder Representations from Transformers, to analyze news components and public reactions. Beyond descriptive analysis, we used regression models to shed light on how news coverage on social media is associated with the public’s negative emotional responses.Results:Our results suggest that occurrences of issues regarding pandemic situations, antipandemic measures, and supportive actions are likely to reduce the public’s negative emotions, while comments on the posts mentioning the central government and the Government of Hong Kong reveal more negativeness. Negative and neutral media tones can alleviate the rage and interact with the subjects and issues in the news to affect users’ negative emotions. Post length is found to have a curvilinear relationship with users’ negative emotions.Conclusions:This study sheds light on the impacts of various components of news coverage (issues, subjects, media tone, and length) on social media on the public’s negative emotions (anger, fear, and sadness). Our comprehensive analysis provides a reference framework for efficient crisis communication for similar pandemics at present or in the future. This research, although first extending the analysis between the components of news coverage and negative user emotions to the scenario of social media, echoes previous studies drawn from traditional media and its derivatives, such as web newspapers. Although the era of COVID-19 pandemic gradually brings down the curtain, the commonality of this research and previous studies also contributes to establishing a clearer territory in the field of health crises.
AB - Background:Social media has become an increasingly popular and critical tool for users to digest diverse information and express their perceptions and attitudes. While most studies endeavor to delineate the emotional responses of social media users, there is limited research exploring the factors associated with the emergence of emotions, particularly negative ones, during news consumption.Objective:We aim to first depict the web coverage by news organizations on social media and then explore the crucial elements of news coverage that trigger the public’s negative emotions. Our findings can act as a reference for responsible parties and news organizations in times of crisis.Methods:We collected 23,705 Facebook posts with 1,019,317 comments from the public pages of representative news organizations in Hong Kong. We used text mining techniques, such as topic models and Bidirectional Encoder Representations from Transformers, to analyze news components and public reactions. Beyond descriptive analysis, we used regression models to shed light on how news coverage on social media is associated with the public’s negative emotional responses.Results:Our results suggest that occurrences of issues regarding pandemic situations, antipandemic measures, and supportive actions are likely to reduce the public’s negative emotions, while comments on the posts mentioning the central government and the Government of Hong Kong reveal more negativeness. Negative and neutral media tones can alleviate the rage and interact with the subjects and issues in the news to affect users’ negative emotions. Post length is found to have a curvilinear relationship with users’ negative emotions.Conclusions:This study sheds light on the impacts of various components of news coverage (issues, subjects, media tone, and length) on social media on the public’s negative emotions (anger, fear, and sadness). Our comprehensive analysis provides a reference framework for efficient crisis communication for similar pandemics at present or in the future. This research, although first extending the analysis between the components of news coverage and negative user emotions to the scenario of social media, echoes previous studies drawn from traditional media and its derivatives, such as web newspapers. Although the era of COVID-19 pandemic gradually brings down the curtain, the commonality of this research and previous studies also contributes to establishing a clearer territory in the field of health crises.
KW - COVID-19
KW - emotions
KW - Facebook
KW - social media
KW - web news coverage
UR - http://www.scopus.com/inward/record.url?scp=85195439234&partnerID=8YFLogxK
U2 - 10.2196/48491
DO - 10.2196/48491
M3 - Journal article
C2 - 38843521
AN - SCOPUS:85195439234
SN - 1439-4456
VL - 26
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
IS - 1
M1 - e48491
ER -