Institutional Repository
dc.contributor.author | Mahundu, Fabian | |
dc.date.accessioned | 2023-08-09T15:30:49Z | |
dc.date.available | 2023-08-09T15:30:49Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Mahundu, F. G. (2023). Identifying people’s reactions and concerns during the 2022 international women’s day on twitter: sentiments analysis through hashtags. In Losioki, B. E. et al (Eds). Proceedings of the 1st Academic Conference in Commemoration of the Late Mwalimu Julius Kambarage Nyerere, the First President of the United Republic of Tanzania and Father of the Nation, on the theme of "The Legacy of Mwalimu Nyerere in Improving Human Welfare and Socio-economic Development". Dar es salaam. 2022, Octoberr 11th to 12th. | en_US |
dc.identifier.isbn | 978-9912-41-308-5 | |
dc.identifier.uri | http://41.59.91.195:9090/handle/123456789/163 | |
dc.description | Conference Proceedings | en_US |
dc.description.abstract | This paper presents research results on people’s reactions and concerns during the 2022 International Women’s Day on Twitter as an electronic platform for amplifying women’s voices. We coded and analyzed the most common themes from unstructured tweet textual data using MAXQDA2022. The analysis was done based on the global slogan used to celebrate the Women’s Day in 2022 - “Gender equality today for a sustainable tomorrow #IWD2022”. More than 5,000 tweet and retweet postings comprising 2022 IWD peoples’ sentiments, opinions, and comments were examined using content analysis approach. Six themes — surveillance, prevention, treatments, testing, and cure, symptoms and transmission, fear, and financial loss — were identified as key concerns during the 2022 IWD. Majority of the 676 Women’s Day-related tweets gathered were advocating about breaking the bias. The overall percentage of sentiments regarding the 676 International Women’s Day in Tanzania was positive by 44.9%, negative by 1.1% and neutral by 18.5%. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | The Mwalimu Nyerere Memorial Academy | en_US |
dc.subject | 2022 international women’s day | en_US |
dc.subject | en_US | |
dc.subject | sentiment analysis | en_US |
dc.subject | hashtags | en_US |
dc.subject | reactions | en_US |
dc.subject | concerns | en_US |
dc.title | Identifying people’s reactions and concerns during the 2022 international women’s day on twitter: sentiments analysis through hashtags | en_US |
dc.type | Conferencce Proceedings | en_US |