Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15347, first published .
Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study

Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study

Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study

Journals

  1. Usher K, Durkin J, Martin S, Vanderslott S, Vindrola-Padros C, Usher L, Jackson D. Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts. Journal of Medical Internet Research 2021;23(10):e29025 View
  2. Fynn A, Mashile E. Continuous Online Assessment at a South African Open Distance and e-Learning Institution. Frontiers in Education 2022;7 View
  3. Buchner V, Hamm S, Medenica B, Molendijk M. Linguistic Analysis of Online Domestic Violence Testimonies in the Context of COVID-19. SAGE Open 2023;13(1):215824402211461 View
  4. Hui V, Constantino R, Lee Y. Harnessing Machine Learning in Tackling Domestic Violence—An Integrative Review. International Journal of Environmental Research and Public Health 2023;20(6):4984 View
  5. Neubauer L, Straw I, Mariconti E, Tanczer L. A Systematic Literature Review of the Use of Computational Text Analysis Methods in Intimate Partner Violence Research. Journal of Family Violence 2023;38(6):1205 View
  6. Al Kiyumi M, Al Shidhani A, Al Sumri H, Al Saidi Y, Al Harrasi A, Al Kiyumi M, Al Sumri S, Al Toubi A, Shetty M, Al-Adawi S. Intimate Partner Violence in Khaliji Women: A Review of the Frequency and Related Factors. International Journal of Environmental Research and Public Health 2023;20(13):6241 View
  7. Pinto-Muñoz C, Zuñiga-Samboni J, Ordoñez-Erazo H. Machine Learning Applied to Gender Violence: A Systematic Mapping Study. Revista Facultad de Ingeniería 2023;32(64):e15944 View