Emily Steinhagen, Saher-Zahra Khan, Asya Ofshteyn, Kyla Terhune, Luke Selby, Jennifer Miller-Ocuin, Sharon L Stein, John B Ammori
Creation and Implementation of an Online Tool for Feedback on Resident Teaching: A Pilot Study
Journal of surgical education
nonprofit organizations increasingly using social media improve communication strategies broader population however within domain human service nonprofits hesitancy fully use social media tools limited scope among organizational personnel applying potential beyond selfpromotion service advertisement pressing need greater conceptual clarity support education training varied reasons using social media increase organizational outcomes study leverages potential twitter subsequently rebranded x x corp examine online communication content within sample n133 nonprofit sexual assault sa centers canada achieve developed typology using qualitative supervised machine learning model automatic classification tweets posted centers using mixed methods approach combines machine learning qualitative analysis manually coded 10809 tweets 133 sa centers canada spanning period march 2009 march 2023 manually labeled tweets used training data set supervised machine learning process allowed us classify 286551 organizational tweets classification model based supervised machine learning yielded satisfactory results prompting use unsupervised machine learning classify topics within thematic category identify latent topics qualitative thematic analysis combination topic modeling provided contextual understanding theme sentiment analysis conducted reveal emotions conveyed tweets conducted validation model 2 independent data sets manual annotation 10809 tweets identified seven thematic categories 1 community engagement 2 organization administration 3 public awareness 4 political advocacy 5 support others 6 partnerships 7 appreciation organization administration frequent segment political advocacy partnerships smallest segments supervised machine learning model achieved accuracy 634 classifying tweets sentiment analysis revealed prevalence neutral sentiment across categories emotion analysis indicated fear predominant whereas joy associated partnership appreciation tweets topic modeling identified distinct themes within category providing valuable insights prevalent discussions surrounding sa related issues research contributes original theoretical model sheds light human service nonprofits use social media achieve online organizational communication objectives across 7 thematic categories study advances comprehension social media use nonprofits presenting comprehensive typology captures diverse communication objectives contents organizations provide content expand training education nonprofit leaders connect engage public policy experts organizations potential service users