Marc Cheong

Many scholars agree that the Internet plays a pivotal role in self-radicalization, which can lead to behaviours ranging from lone-wolf terrorism to participation in white nationalist rallies to mundane bigotry and voting for extremist candidates. However, the mechanisms by which the Internet facilitates self-radicalization are disputed; some fault the individuals who end up self-radicalized, while others lay the blame on the technology itself. In this paper, we explore the role played by technological design decisions in online self-radicalization in its myriad guises, encompassing extreme as well as more mundane forms. We begin by characterizing the phenomenon of technological seduction. Next, we distinguish between top-down seduction and bottom-up seduction. We then situate both forms of technological seduction within the theoretical model of dynamical systems theory. We conclude by articulating strategies for combatting online self-radicalization.

The concept of 'authenticity' is highly valued on social media sites (SMSes), despite its ambiguous nature and definition. One interpretation of 'authenticity' by media scholars is a human's congruence with online portrayals of themselves (e.g. posting spontaneous photographs from their lives, or using real biodata online). For marketers and 'influencers', these patterns of behaviour can achieve certain gains: sales for a business, or success of a campaign. For existentialist philosophers, using 'authenticity' as a means to an end is against its very definition. In this paper, I investigate what SMS users are looking for by their supposed 'authentic' portrayal online. My experimental approach draws upon empirical data from the Instagram social media site. Using machine learning techniques, descriptions and features of posts - including subjects, captions, and contexts - will be categorised and aggregated. I will then interpret these findings, drawing upon work by Taylor, Golomb, and Guignon, whose works on authenticity are based on mid-20th century existentalists. I argue that the existentialist ideals on authenticity are not necessarily present in contemporary SMS use. I will also argue that the popular interpretation of authenticity on SMSes can be self-defeating, when it seeks to turn the 'for-itself' into an 'in-itself'.

Protests and counter-protests seek to draw and direct attention and concern with confronting images and slogans. In recent years, as protests and counter-protests have partially migrated to the digital space, such images and slogans have also gone online. Two main ways in which these images and slogans are translated to the online space is through the use of emoji and hashtags. Despite sustained academic interest in online protests, hashtag activism and the use of emoji across social media platforms, little is known about the specific functional role that emoji and hashtags play in online social movements. In an effort to fill this gap, the current paper studies both hashtags and emoji in the context of the Twitter discourse around the Black Lives Matter movement.

Obituaries represent a prominent way of expressing the human universal of grief. According to philosophers, obituaries are a ritualized way of evaluating both individuals who have passed away and the communities that helped to shape them. The basic idea is that you can tell what it takes to count as a good person of a particular type in a particular community by seeing how persons of that type are described and celebrated in their obituaries. Obituaries of those killed in conflict, in particular, are rich repositories of communal values, as they reflect the values and virtues that are admired and respected in individuals who are considered to be heroes in their communities. In this paper, we use natural language processing techniques to map the patterns of values and virtues attributed to Australian military personnel who were killed in action during World War I and World War II. Doing so reveals several clusters of values and virtues that tend to be attributed together. In addition, we use named entity recognition and geotagging the track the movements of these soldiers to various theatres of the wars, including North Africa, Europe, and the Pacific.

Varying degrees of symmetry can exist in a social network's connections. Some early online social networks (OSNs) were predicated on symmetrical connections, such as Facebook 'friendships' where both actors in a 'friendship' have an equal and reciprocal connection. Newer platforms -- Twitter, Instagram, and Facebook's 'Pages' inclusive -- are counterexamples of this, where 'following' another actor (friend, celebrity, business) does not guarantee a reciprocal exchange from the other. This paper argues that the basic asymmetric connections in an OSN leads to emergent asymmetrical behaviour in the OSN's overall influence and connectivity, amongst others. This paper will then draw on empirical examples from popular sites (and prior network research) to illustrate how asymmetric connections can render individuals 'voiceless'. The crux of this paper is an argument from the existentialist viewpoint on how the above asymmetric network properties lead to Sartrean bad faith (Sartre, 1943). Instead of genuine interpersonal connection, one finds varying degrees of pressure to assume the Sartrean 'in-itself' (the en soi) mode-of-being, irregardless of the magnitude of 'followers' one has. Finally, this paper poses an open question: what other philosophical issues does this inherent asymmetry in modern social networking give rise to?

Five years ago, the Journal of Nietzsche Studies published a special issue on Nietzsche and the affects. In it, Aurelia Armstrong wrote generically about the passions, Michael Ure discussed Schadenfreude, Joanne Faulkner addressed disgust, and Joseph Kuzma focused on eroticism.1 In subsequent issues, authors have discussed love,2 emotion in general,3 resentment,4 compassion,5 honor and empathy,6 and affect in general.7 This special section on emotions and reactive attitudes is a chance to take stock of the progress we have made as a field, draw connections among the affects and emotions addressed in the secondary literature, and introduce new ideas and tools for future research.If the articles here are any...

The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence; and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper reports on an open-source reimplementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as evidence of interdisciplinary diversity in an academic communications network.