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Social Connectivity, Sentiment and Participation on Twitter during COVID-19

Author

Listed:
  • Andrea Castro-Martinez

    (Department of Audiovisual Communication and Advertising, University of Malaga, León Tolstoi Street, s/n, 29010 Malaga, Spain)

  • Paula Méndez-Domínguez

    (Department of Social Psychology, Social Work, Social Anthropology and East Asian Studies, University of Malaga, Francisco Trujillo Villanueva Avn., s/n, 29001 Malaga, Spain)

  • Aimiris Sosa Valcarcel

    (Department of Audiovisual Communication and Advertising, University of Malaga, León Tolstoi Street, s/n, 29010 Malaga, Spain)

  • Joaquín Castillo de Mesa

    (Department of Social Psychology, Social Work, Social Anthropology and East Asian Studies, University of Malaga, Francisco Trujillo Villanueva Avn., s/n, 29001 Malaga, Spain)

Abstract

In a transnational context defined by the irruption of COVID-19 and the social isolation it has generated around the world, social networking sites are essential channels for communicating and developing new forms of social coexistence based on connectivity and interaction. This study analyzes the feelings expressed on Twitter through the hashtags #YoMeQuedoEnCasa, #stayhome, #jeresteàlamaison, #restealamaison, #stoacasa, #restaacasa, #ficaemcasa, #euficoemcasa, #ichbleibezuHause and #Bleibzuhause, and the communicative and social processes articulated from network participation, during the lockdown in 2020. Through Gephi software, the aspects underlying the communicative interaction and the distribution of the network at a global level are studied, with the identification of leaderships, communities and connectivity nodes. As a result of this interaction, the emergence of social and organizational links derived from community participation and motivated by the common interest of preserving health and general wellbeing through collective action is detected. The study notes the presence of feelings of solidarity, a sense of community and social support among connected crowds who, despite being in geographically dispersed settings, share similar concerns about the virus effect.

Suggested Citation

  • Andrea Castro-Martinez & Paula Méndez-Domínguez & Aimiris Sosa Valcarcel & Joaquín Castillo de Mesa, 2021. "Social Connectivity, Sentiment and Participation on Twitter during COVID-19," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8390-:d:610606
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    References listed on IDEAS

    as
    1. Carlos de las Heras-Pedrosa & Pablo Sánchez-Núñez & José Ignacio Peláez, 2020. "Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems," IJERPH, MDPI, vol. 17(15), pages 1-22, July.
    2. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    3. Lei Zheng & Miao Miao & JiYoon Lim & Maorui Li & Shu Nie & Xiaojun Zhang, 2020. "Is Lockdown Bad for Social Anxiety in COVID-19 Regions?: A National Study in The SOR Perspective," IJERPH, MDPI, vol. 17(12), pages 1-12, June.
    4. Patricia P. Iglesias-Sánchez & Gustavo Fabián Vaccaro Witt & Francisco E. Cabrera & Carmen Jambrino-Maldonado, 2020. "The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain," IJERPH, MDPI, vol. 17(16), pages 1-10, August.
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    Cited by:

    1. Yasmin Aldamen & Amina Abdallah, 2024. "Dialogical Health Communication via Twitter (X) During COVID-19 in African Countries: Ghana as a Case Study," World, MDPI, vol. 5(4), pages 1-19, October.
    2. Arenas Gaitán, Jorge & Ramírez-Correa, Patricio E., 2023. "COVID-19 and telemedicine: A netnography approach," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    3. Laura Picazo-Sánchez & Rosa Domínguez-Martín & David García-Marín, 2022. "Health Promotion on Instagram: Descriptive–Correlational Study and Predictive Factors of Influencers’ Content," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    4. Zixuan Weng & Aijun Lin, 2022. "Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(24), pages 1-17, December.

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