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Challenging oppressive discourses in the digital public sphere

Social Media, Distracting or Engaging?

As part of my PhD research, I investigate the factors of student success and the influence of the use of social media by first year students in higher education. For this I use the insights provided by the highly influential and leading integration theory of Tinto and diminished the amount of variables by only using the best predictive ones. Hereby, avoiding the capitalization of chance and establishing a more easy to use model for teachers and management. Furthermore, I enriched the model with the use of social media, in particular Facebook, to better suit students’ contemporary society in the developed world. Principal component analysis on Facebook usage provided different integration/engagement components, which I coined peer-engagement and knowledge engagement. Both consisted of various purposes of Facebook use (information, education, social and leisure) and the use of different pages amongst students. To uncover if these latent variables play a significant role in student success or if Facebook is a multi-distracting platform, two models were compared using structural equation modeling with SPSS AMOS; one with and one without the peer-, and knowledge engagement variables. The fit of both models are compared using the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). In addition, the direct influence and indirect influence of all variables are compared to provide a better insight into what kind of influence social media can have upon student success.

What is the social in social media?

The use of the word “social” in the context of information technology goes back to the very beginnings of cybernetics. It later pops up in the 1980s context of “groupware.” The recent materialist school of Friedrich Kittler and others dismissed the use of the word “social” as irrelevant fluff – what computers do is calculate, they do not interfere in human relations. Holistic hippies, on the other hand, have ignored this cynical machine knowledge and have advanced a positive, humanistic view that emphasizes computers as tools for personal liberation. This individualistic emphasis on interface design, usability, and so on was initially matched with an interest in the community aspect of computer networking. Before the “dot-com” venture capitalist takeover of the field in the second half of the 1990s, progressive computing was primarily seen as a tool for collaboration among people.

Machine Vision and Social Media Images: Why Hashtags Matter

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.

Distraction and its discontents

Disillusion with social media only stimulates the search for ever more refined techniques of manipulation. Detoxing won’t help, writes Geert Lovink: it is collective action, not will power, that can free us from the permanent state of distraction.

The social visuality of distant suffering