51 research outputs found
Shadow politics: Front stage and the veneer of volunteerism
This article proposes the metaphor of “shadow” to examine two interrelated aspects of digital politics in India: online surveillance of politically inclined actors and datafied shadow texts aimed at managing front stage politics. The specificity of “shadow politics” emerges from ongoing transformations that are deeply interwoven with the digital, first with the data driven confidence around the “total certainty” of tracking and calibrating voter sentiments, and second, with the ideology of digital participation and related claims that data machines are merely tapping into people’s sovereign expressions online
Social media, religious politics, and national (un)belonging in India and the diaspora
In India and its diaspora in the UK, online activities of various sorts—tweeting, blogging, messaging, trolling, and tagging—have become central to tensions surrounding religion's presence in public life and the stakes of belonging to the nation. Three clusters of social media practices undergird these digital mediations: piety, surveillance, and fun. Such practices reveal how internet-enabled mediations reenergize religion as a political category of difference under majoritarian right-wing regimes and the transnational context of Islamophobia, while also offering distinct possibilities for imagining politics through the pleasures, visibilities, and reflections induced by digital circulations. Rather than approaching the internet as an abstract technological context or discrete channels for communication, this analysis theoretically positions it as an arena of “multiple interfaces.” It signals contiguities and collisions that digital practice has opened up among the very real communities and structures of authority, under conditions shaped by longer colonial histories
Mediatised Terror: Terror in the Age of Media Explosion
The media coverage of the Mumbai terror incidents (between 26 and 28 November 2008) and their aftermath has been widely criticised for various reasons. Yet it is necessary not to frame these criticisms without understanding the structural models that drive news production – which is subsumed largely to capital and is not free of political content
Beyond Acquiescence and Surveillance: New Directions for Media Regulation
The increasingly complex and elusive media landscape
has thrown fresh challenges to an unsettled ecosystem
of media policy in India. This paper traces some of the
challenges posed by the new communications
technologies and the variegated field of media practices
to argue that the fragmented media policy framework
requires a complete makeover in terms of its regulatory
objectives, strategies and public media obligations.
Emphasising the need for incorporating anthropological
and technologically informed perspectives on the
nature and implications of current media expansion, the
paper proposes that the policy framework should
include a modular and unbundled approach to media
regulation. Policymakers should also invest research
energy into the exercise of mapping the diversity of
media practices and multiple logics driving rapid
proliferation of media across the country. In the context
of growing state practices of surveillance and staggered
acquiescence to corporate interests, policy interventions
should move beyond the contradictory impulses of
“policin
Ethical scaling for content moderation: Extreme speech and the (in)significance of artificial intelligence
In this article, we present new empirical evidence to demonstrate the severe limitations of existing machine learning content moderation methods to keep pace with, let alone stay ahead of, hateful language online. Building on the collaborative coding project “AI4Dignity” we outline the ambiguities and complexities of annotating problematic text in AI-assisted moderation systems. We diagnose the shortcomings of the content moderation and natural language processing approach as emerging from a broader epistemological trapping wrapped in the liberal-modern idea of “the human”. Presenting a decolonial critique of the “human vs machine” conundrum and drawing attention to the structuring effects of coloniality on extreme speech, we propose “ethical scaling” to highlight moderation process as political praxis. As a normative framework for platform governance, ethical scaling calls for a transparent, reflexive, and replicable process of iteration for content moderation with community participation and global parity, which should evolve in conjunction with addressing algorithmic amplification of divisive content and resource allocation for content moderation
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
When trained on large, unfiltered crawls from the internet, language models
pick up and reproduce all kinds of undesirable biases that can be found in the
data: they often generate racist, sexist, violent or otherwise toxic language.
As large models often require millions of training examples to achieve good
performance, it is difficult to completely prevent them from being exposed to
such content. In this paper, we investigate whether pretrained language models
at least know when they exhibit some undesirable bias or produce toxic content.
Based on our findings, we propose a decoding algorithm that reduces the
probability of a model producing problematic text given only a textual
description of the undesired behavior. This algorithm does not rely on manually
curated word lists, nor does it require any training data or changes to the
model's parameters. While our approach does by no means eliminate the issue of
language models generating biased text, we believe it to be an important step
in this direction
Extreme Speech Online: An Anthropological Critique of Hate Speech Debates
Exploring the cases of India and Ethiopia, this article develops the concept of “extreme speech” to critically analyze the cultures of vitriolic exchange on Internet-enabled media. While online abuse is largely understood as “hate speech,” we make two interventions to problematize the presuppositions of this widely invoked concept. First, extreme speech emphasizes the need to contextualize online debate with an attention to user practices and particular histories of speech cultures. Second, related to context, is the ambiguity of online vitriol, which defies a simple antonymous conception of hate speech versus acceptable speech. The article advances this analysis using the approach of “comparative practice,” which, we suggest, complicates the discourse of Internet “risk” increasingly invoked to legitimate online speech restrictions
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