Covid-19 tweeting in English: Gender differences

Autores/as

DOI:

https://doi.org/10.3145/epi.2020.may.01

Palabras clave:

Covid-19, Coronavirus, Twitter, Gender, Public health information.

Resumen

At the start of 2020, Covid-19 became the most urgent threat to global public health. Uniquely in recent times, governments have imposed partly voluntary, partly compulsory restrictions on the population to slow the spread of the virus. In this context, public attitudes and behaviors are vitally important for reducing the death rate. Analyzing tweets about the disease may therefore give insights into public reactions that may help guide public information campaigns. This article analyses 3,038,026 English tweets about Covid-19 from March 10 to 23, 2020. It focuses on one relevant aspect of public reaction: gender differences. The results show that females are more likely to tweet about the virus in the context of family, social distancing and healthcare, whereas males are more likely to tweet about sports cancellations, the global spread of the virus, and political reactions. Thus, women seem to be taking a disproportionate share of the responsibility for directly keeping the population safe. The detailed results may be useful to inform public information announcements and to help understand the spread of the virus. For example, failure to impose a sporting bans whilst encouraging social distancing may send mixed messages to males.

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Biografía del autor/a

Mike Thelwall, University of Wolverhampton

Mike Thelwall is the head of the Statistical Cybermetrics Research Group at the University of Wolverhampton, UK. He has developed a wide range of software for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general.

Saheeda Thelwall, University of Wolverhampton

Senior lecturer in adult nursing, with a focus on public health.

Citas

Argamon, Shlomo; Koppel, Moshe; Fine, Jonathan; Shimoni, Anat-Rachel (2003). "Gender, genre, and writing style in formal written texts". Text, v. 23, n. 3, pp. 321-346. https://www.researchgate.net/publication/2914978_Gender_Genre_and_Writing_Style_in_Formal_Written_Texts

Benjamini, Yoav; Hochberg, Yusuf (1995). "Controlling the false discovery rate: a practical and powerful approach to multiple testing". Journal of the Royal Statistical Society: Series B (Methodological), v. 57, n. 1, pp. 289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x

Bode, Leticia (2017). "Closing the gap: gender parity in political engagement on social media". Information, communication & society, v. 20, n. 4, pp. 587-603. https://doi.org/10.1080/1369118X.2016.1202302

Carers UK (2020). 10 facts about women and caring in the UK on International women´s day. https://www.carersuk.org/news-and-campaigns/features/10-facts-about-women-and-caring-in-the-uk-on-international-women-s-day

Cinelli, Matteo; Quattrociocchi, Walter; Galeazzi, Alessandro; Valensise, Carlo-Michele; Brugnoli, Emanuele; Schmidt, Ana-Lucia; Zola, Paola; Zollo, Fabiana; Scala, Antonio (2020). "The covid-19 social media infodemic". arXiv preprint arXiv:2003.05004. https://arxiv.org/abs/2003.05004

Family Caregiver Alliance (2020). Caregiver statistics: Demographics. https://www.caregiver.org/caregiver-statistics-demographics

Karimi, Fariba; Wagner, Claudia; Lemmerich, Florian; Jadidi, Mohsen; Strohmaier, Markus (2016). "Inferring gender from names on the web: A comparative evaluation of gender detection methods". In: Proceedings of the 25th International conference companion on World Wide Web (pp. 53-54). https://arxiv.org/abs/1603.04322

Kulshrestha, Juhi; Kooti, Farshad; Nikravesh, Ashkan; Gummadi, Krishna P. (2012). "Geographic dissection of the Twitter network". In: Sixth international AAAI conference on weblogs and social media. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/viewPaper/4685

Lau, Joseph; Yang, Xilin; Tsui, Hiyi; Pang, Ellie (2004). "SARS related preventive and risk behaviours practised by Hong Kong-mainland China cross border travellers during the outbreak of the SARS epidemic in Hong Kong". Journal of epidemiology & community health, v. 58, n. 12, pp. 988-996. https://doi.org/10.1136/jech.2003.017483

Leblanc, Vicky; Bégin, Catherine; Hudon, Anne-Marie; Royer, Marie-Michelle; Corneau, Louise; Dodin, Sylvie; Lemieux, Simone (2014). "Gender differences in the long-term effects of a nutritional intervention program promoting the Mediterranean diet: changes in dietary intakes, eating behaviors, anthropometric and metabolic variables". Nutrition journal, v. 13, n. 1, article 107. https://doi.org/10.1186/1475-2891-13-107

Li, Sijia; Wang, Yilin; Xue, Jia; Zhao, Nan; Zhu, Tingshao (2020). "The impact of Covid-19 epidemic declaration on psychological consequences: A study on active Weibo users". International journal of environmental research and public health, v. 17, n. 6, article 2032. https://doi.org/10.3390/ijerph17062032

Lipsitch, Marc; Swerdlow, David; Finelli, Lyn (2020). "Defining the epidemiology of Covid-19 - studies needed". New England journal of medicine, n. 382, pp. 1194-1196. https://doi.org/10.1056/NEJMp2002125

Luhn, Hans (1960). "Key word"in"context index for technical literature (kwic index)". American documentation, v. 11, n. 4, pp. 288-295.

Parker, Kim; Horowitz, Juliana; Rohal, Molly (2015). Parenting in America: Outlook, worries, aspirations are strongly linked to financial situation. Pew Research Center. https://www.pewsocialtrends.org/wp-content/uploads/sites/3/2015/12/2015-12-17_parenting-in-america_FINAL.pdf

Plaza, Mélissa; Boiché, Julie; Brunel, Lionel; Ruchaud, Franí§ois (2017). "Sport = male"¦ But not all sports: Investigating the gender stereotypes of sport activities at the explicit and implicit levels". Sex roles, v. 76, n. 3-4, pp. 202-217. https://doi.org/10.1007/s11199-016-0650-x

Reinhardt, Susa; Bischof, Gallus; Grothues, Janina; John, Ulrich; Meyer, Christian; Rumpf, Hans-Jí¼rgen (2008). "Gender differences in the efficacy of brief interventions with a stepped care approach in general practice patients with alcohol-related disorders". Alcohol & alcoholism, v. 43, n. 3, pp. 334-340. https://doi.org/10.1093/alcalc/agn004

Schaeffer, Katherine (2019). U.S. has changed in key ways in the past decade, from tech use to demographics. Pew Research Center. https://www.pewresearch.org/fact-tank/2019/12/20/key-ways-us-changed-in-past-decade

Smith, Aaron; Hughes, Adam; Remy, Emma; Shah, Sono (2020). Democrats on Twitter more liberal, less focused on compromise than those not on the platform. Pew Research Center. https://www.pewresearch.org/fact-tank/2020/02/03/democrats-on-twitter-more-liberal-less-focused-on-compromise-than-those-not-on-the-platform

Smith, Adam; Wojcik, Stefan (2019). 10 facts about Americans and Twitter. Pew Research Center.https://www.pewresearch.org/fact-tank/2019/08/02/10-facts-about-americans-and-twitter

Thelwall, Mike; Bailey, Carol; Makita, Meiko; Sud, Pardeep; Madalli, Devika P. (2019). "Gender and research publishing in India: Uniformly high inequality?". Journal of informetrics, v. 13, n. 1, pp. 118-131. https://doi.org/10.1016/j.joi.2018.12.003

Thelwall, Mike; Bailey, Carol; Tobin, Catherine; Bradshaw, Noel-Ann (2019). "Gender differences in research areas, methods and topics: Can people and thing orientations explain the results?". Journal of informetrics, v. 13, n. 1, pp. 149-169. https://doi.org/10.1016/j.joi.2018.12.002

Thelwall, Mike; Levitt, Jonathan (2020). "Retweeting Covid-19 disability issues: Risks, support and outrage". El profesional de la información, v. 29, n. 2, e290216. https://doi.org/10.3145/epi.2020.mar.16

Thelwall, Mike; Stuart, Emma (2019). "She´s Reddit: A source of statistically significant gendered interest information?". Information processing & management, v. 56, n. 4, pp. 1543-1558. https://doi.org/10.1016/j.ipm.2018.10.007

Thelwall, Mike (2018). "Can museums find male or female audiences online with YouTube?". Aslib journal of information management, v. 70, n. 5, pp. 481-497. https://doi.org/10.1108/AJIM-06-2018-0146

Thelwall, Mike (2020). "Gender differences in Covid-19 tweeting in English". FigShare. https://doi.org/10.6084/m9.figshare.12026625

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Publicado

2020-05-04

Cómo citar

Thelwall, M., & Thelwall, S. (2020). Covid-19 tweeting in English: Gender differences. Profesional De La información Information Professional, 29(3). https://doi.org/10.3145/epi.2020.may.01

Número

Sección

Artí­culos de investigación Covid-19 / Covid-19 research articles