Research on student success has been highly influenced by Tinto’s integration theory in Europe and America. As part of my PhD research, I investigate the possible influence of the use of social media by first year students in higher education. Based on Tinto’s theory, the amount of variables is diminished by including only the best predictive variables. Hereby, avoiding the capitalization of chance and to establish a more easy to use model for teachers and management. In previous studies the latent variables ‘satisfaction’ was built by using a fraction of the original manifest variables and tested using principal component analysis to proof how the model could be simplified. In this paper I focus on the role of the use of social media, in particular Facebook, and enrich the model of Tinto for a better suit to the students’ contemporary society in the developed world. The principal analysis, on the use of Facebook, measured by purpose (information, education, social and leisure) and by the use of different pages amongst students, is also conducted in a previous study. However, the result of this study provided the different integration or engagement components, which now will be included in Tinto’s simplified model. For the principal component-analysis, internal consistency and the reliability will be shown by Cronbach’s alpha and Guttman’s lambda-2. For testing the fit of the model, SPSS AMOS is used and the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA) are calculated. Ultimately this paper will provide a better insight into what kind of influence social media can have upon student success.
Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention toward the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by online publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images remains limited. Combining automated analyses of images with platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This article explores the capacities of hashtags and retweet counts to complement the automated assessment of social media images, doing justice to both the visual elements of an image and the contextual elements encoded through the hashtag practices of networked publics.
Van oorsprong worden televisieprogramma’s op een lineaire manier aangeboden aan kijkers: een omroep bepaalt in welke volgorde programma’s worden getoond. Dit verandert echter langzaam. Ondemand mogelijkheden via internet en settopboxen zorgen ervoor dat kijkers zelf kunnen bepalen wanneer ze welk programma willen kijken. De Nederlandse Publieke Omroep (NPO) speelt op die mogelijkheden in met onder meer de dienst Uitzending Gemist, een NPOapplicatie voor mobiele apparaten en verschillende themakanalen. Eén van die themakanalen is NPO Spirit. Ze biedt via internet ondemand video’s aan op het gebied van levensbeschouwing, spiritualiteit en diversiteit. Het aanbod is zo pluriform mogelijk. Dat wil zeggen dat verschillende religies en levensbeschouwingen naast elkaar worden aangeboden. NPO Spirit formuleert haar propositie dan ook als volgt: “NPO Spirit laat de kijker genieten en brengt op toegankelijke wijze (nieuwe) inzichten!" De uiteindelijke doelstelling van dit project is om méér mensen en meer verschillende groepen te bereiken. Het eindresultaat bestaat uit (1) een specifiek overzicht voor NPO Spirit van relevante trefwoorden, groepen ( hubs ) en sleutelfiguren ( influencers ) op internet, en (2) een algemene werkwijze om vanuit een organisatie of merk te bepalen welke groepen, trefwoorden en sleutelfiguren op het internet relevant zijn. Dit moet ertoe leiden dat NPO Spirit beter in staat raakt om video’s naar consumenten ‘toe te brengen’.
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