Abstracts
Abstract
During the first wave of COVID‑19, the uncertainty about a prospect vaccine combined with the constant media bombardment have fueled the fear of strict periods of confinement measures, creating a fertile ground for fake news and misleading social media debates. This paper studies how the public attention to certain pandemic-related topics and the social media activity of health and policymaker influencers impact the energy sector. Our findings suggest that during periods of growing attention to the term “Coronavirus”, social media activity of policymaker influencers exhibits a negative relationship with the energy sector. However, given the positive and scientific connotation, when the public attention to the term “Vaccine” increases, we observe a positive impact of international health organizations.
Keywords:
- ICT,
- Social media,
- COVID‑19,
- Public attention,
- Energy industry
Résumé
Au cours de la première vague de COVID‑19, l’incertitude sur le développement d’un éventuel vaccin et le bombardement médiatique constant ont alimenté la peur de la mise en oeuvre de strictes politiques de confinement, créant un terrain fertile pour de fausses informations et les débats trompeurs dans les réseaux sociaux. Nous étudions dans cet article comment l’attention du public à certains problèmes liés à la pandémie et l’activité sur les réseaux sociaux des agences de santé publique et des décideurs politiques impactent le secteur de l’énergie. Les résultats obtenus suggèrent qu’en période d’attention croissante au terme « Coronavirus », l’activité sur les réseaux sociaux des responsables politiques présente une relation négative avec le secteur de l’énergie. Cependant, étant donné la connotation positive et scientifique, lorsque l’attention du public sur le terme « Vaccine » augmente, nous constatons un impact positif organisations internationales de santé.
Mots-clés :
- technologies de l’information et de la communication (TIC),
- Réseaux sociaux,
- COVID‑19,
- Attention du public,
- Industrie de l’énergie
Resumen
Durante la primera ola de COVID‑19, la incertidumbre sobre el desarrollo de una posible vacuna y el constante bombardeo mediático, han alimentado el temor a la implementación de estrictas políticas de confinamiento, creando un terreno fértil para noticias falsas y debates engañosos en redes sociales. En este artículo estudiamos cómo la atención pública a ciertos temas relacionados con la pandemia y la actividad en las redes sociales de organismos de salud publica y responsables políticos impactan en el sector energético. Los resultados obtenidos sugieren que durante períodos de creciente atención al término “Coronavirus”, la actividad en las redes sociales de responsables políticos presenta una relación negativa con el sector energético. Sin embargo, dada la connotación positiva y científica, cuando aumenta la atención pública hacia el término “yaccin”, observamos un impacto positivo de organismos internacionales de salud.
Palabras clave:
- Tecnologías de la información y las comunicaciones (TIC),
- Redes sociales,
- COVID‑19,
- Atención pública,
- Industria de la energía
Appendices
Bibliography
- Amisano, G., Giannini, C., 1997. Topics in Structural VAR Econometrics. New York: Springer
- Baker, S. R., Bloom, N., Davis, S.J. 2016. Measuring Economic Policy Uncertainty, The Quarterly Journal of Economics 131(4), pp 1593–1636
- Bollen, J., Mao, H., Zeng, X., 2011. Twitter mood predicts the stock market. Journal of Computational Science 2 (1), 1–8
- Boyd, D., Golder, S., Lotan, G., 2010. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. 2010 43rd Hawaii International Conference on System Sciences, Honolulu, HI
- Brennen, J. S., Simon, F. M., Howard, P. N., Nielsen, R. K. 2020. Types, Sources, and Claims of COVID‑19 Misinformation. University of Oxford
- Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P. 2010. Measuring user influence in Twitter: The million follower fallacy, in: Proc. of AAAI
- Chen, D., Hu, H., & Zheng, M. 2021. How Does Energy Production Respond to the COVID‑19 Pandemic? Evidence From China. Asian Economics Letters, 2(2)
- Crider J. COVID‑19 Bankrupts 19 Energy (Oil&Gas) Companies (August 5, 2020). https://cleantechnica.com/2020/08/05/COVID‑19-bankrupts-19-energy-oil-gas-companies/
- Dredze, M., Broniatowski, D. A., Hilyard, K. M. 2016. Zika vaccine misconceptions: A social media analysis. Vaccine, 34(30), 3441-3442
- Fu, M., Shen, H. 2020. COVID‑19 and Corporate Performance in the Energy Industry. Energy Research Letters, 1(1)
- George, J., and Leidner, D. 2019. From clicktivism to hacktivism: Understanding digital activism. Information and Organization 29 (2019) 100249
- Geva, H., Oestreicher-Singer, G., Saar-Tsechansky, M. 2019. Using Retweets When Shaping Our Online Persona: Topic Modeling Approach. MIS Quarterly, 43 (2), pp 501–524
- Guo, Jianfeng and Ji, Qiang, 2013. How Does Market Concern Derived from the Internet Affect Oil Prices?. Applied Energy, 112, 1536–1543
- Han, Liyan & Lv, Qiuna & Yin, Libo., 2017. Can Investor Attention Predict Oil Prices?. Energy Economics, 66 C, pp 547–558
- Holmes K. V. (1999). CORONAVIRUSES (CORONAVIRIDAE). Encyclopedia of Virology, 291–298
- Martínez Torres, M.d.R., Toral, S.L. y Olmedilla Fernández, M., 2015. A quantitative study of the evolution of open source software communities. World Academy of Science, Engineering and Technology, 9 (6), 1374–1379
- Mastropietro, P., Rodilla, P., Batlle, C., 2020. Emergency Measures to Protect Energy Consumers During the COVID‑19 Pandemic: A Global Review and Critical Analysis, Energy Research & Social Science, 68, 101678
- Mejia, J. and Ramaprasad, J., 2020. Fact-Checking Impacts Social Perception but is Prey to Gender and Racial Discrimination (September 1, 2020). Kelley School of Business Research Paper No. 19–29
- Mora, L., Kummitha, R., Esposito, G. 2020. Digital technology deployment and pandemic control: how sociomaterial arrangements and technological determinism undermine virus containment measures
- Moravec, P., Minas, R., Dennis, A. 2019. Fake News on Social Media: People Believe What They Want to Believe When it Makes No Sense At All. MIS Quarterly, 43 (4), pp 1343–1360
- IEA (2020) Oil Market Report-April 2020, IEA, Paris https://www.iea.org/reports/oil-market-report-april-2020
- IEA (2020) Oil Market Report-August 2020, IEA, Paris https://www.iea.org/reports/oil-market-report-august-2020
- IEA (2020) Oil Market Report-September 2020, IEA, Paris https://www.iea.org/reports/oil-market-report-september-2020
- Kim, A. and Dennis, AR. 2019. Says Who? The Effects of Presentation Format and Source Rating on Fake News in Social Media. MIS Quarterly, 43 (3), pp 1025–1039
- Kirilenko, A.P., Molodtsova, T., & Stepchenkova, S. (2015). People as sensors: Mass media and local temperature influence climate change discussion on Twitter. Global Environmental Change, 30, pp 92–100
- Li, Xin and Ma, Jian and Wang, Shouyang and Zhang, Xun. (2015). How does Google search affect trader positions and crude oil prices?. Economic Modelling. 49, pp 162–171
- Loureiro, M. and Alló, M. (2020). Sensing climate change and energy issues: Sentiment and emotion analysis with social media in the U.K. and Spain. Energy Policy 143, 111490
- Oh, O., Manish, A., Raghav, HR. 2013. Community Intelligence and Social Media Services: A Rumor Theoretic Analysis of Tweets during Social Crises. MIS Quarterly, 37 (2), pp 407–426
- Perrin, A., 2015. Social Networking Usage: 2005–2015. Pew Research Center. October 2015.
- Platania, F., Toscano Hernandez, C., Arreola, F., 2022. Social media communication during natural disasters and the impact on the agricultural market. Technological Forecasting & Social Change, 179 (2022), 121594
- Pronker, E. S., Weenen, T. C., Commandeur, H., Claassen, E. H. J. H. M., Osterhaus, A.D.M.E. 2013. Risk in Vaccine Research and Development Quantified. PLoS ONE 8(3)
- Reuter, C., Kaufhold, M. A., 2018. Fifteen years of social media in emergencies: A retrospective review and future directions for crisis informatics. Journal of Contingencies and Crisis Management, 26(1), 41–57
- Rouleau, J., Gosselin, L., 2021. Impacts of the COVID‑19 lockdown on energy consumption in a Canadian social housing building. Applied Energy, 287, 116565
- Russel, M. G., Flora, J., Strohmaier, M., Poeschko, J., Perez, R., Rubens, N. 2011. Semantic Analysis of Energy-Related Conversations in Social Media: A Twitter Case Study. in International Conference on Persuasive Technology (S. 0-0)
- Shaikh I. 2022. Impact of COVID-19 pandemic on the energy markets. Economic Change and Restructuring 55, pp 433–484
- Sharif, A., Aloui, C., Yarovaya, L. 2020. COVID‑19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet- based approach. International Review of Financial Analysis 70, 101496
- Szczygielski, J.J., Brzeszczyński, J., Charteris, A., Bwanya, P.R. 2021. The COVID‑19 storm and the energy sector: The impact and role of uncertaint. Energy Economics 105258
- Tasnim, S., Hossain, M. M., Mazumder, H. 2020. Impact of rumors or misinformation on coronavirus disease (COVID‑19) in social media. Journal of Preventive Medicine and Public Health 53(3)
- Werth, A., Gravino, P., Prevedello, G. (2021). Impact analysis of COVID‑19 responses on energy grid dynamics in Europe. Applied Energy 281 (2021) 116045