Reimagining Communities through Transnational Bengali Decolonial Discourse with YouTube Content Creators
- URL: http://arxiv.org/abs/2407.13131v1
- Date: Thu, 18 Jul 2024 03:41:39 GMT
- Title: Reimagining Communities through Transnational Bengali Decolonial Discourse with YouTube Content Creators
- Authors: Dipto Das, Dhwani Gandhi, Bryan Semaan,
- Abstract summary: This research seeks to understand people's motivations and strategies for engaging in video-mediated decolonial discourse.
We discuss how our work demonstrates the potential of the sociomateriality of decolonial discourse online.
- Score: 2.3977477455080085
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Colonialism--the policies and practices wherein a foreign body imposes its ways of life on local communities--has historically impacted how collectives perceive themselves in relation to others. One way colonialism has impacted how people see themselves is through nationalism, where nationalism is often understood through shared language, culture, religion, and geopolitical borders. The way colonialism has shaped people's experiences with nationalism has shaped historical conflicts between members of different nation-states for a long time. While recent social computing research has studied how colonially marginalized people can engage in discourse to decolonize or re-imagine and reclaim themselves and their communities on their own terms--what is less understood is how technology can better support decolonial discourses in an effort to re-imagine nationalism. To understand this phenomenon, this research draws on a semi-structured interview study with YouTubers who make videos about culturally Bengali people whose lives were upended as a product of colonization and are now dispersed across Bangladesh, India, and Pakistan. This research seeks to understand people's motivations and strategies for engaging in video-mediated decolonial discourse in transnational contexts. We discuss how our work demonstrates the potential of the sociomateriality of decolonial discourse online and extends an invitation to foreground complexities of nationalism in social computing research.
Related papers
- Large Language Models Reflect the Ideology of their Creators [73.25935570218375]
Large language models (LLMs) are trained on vast amounts of data to generate natural language.
We uncover notable diversity in the ideological stance exhibited across different LLMs and languages.
arXiv Detail & Related papers (2024-10-24T04:02:30Z) - Decolonial AI as Disenclosure [0.0]
Machine learning and AI engender 'AI colonialism', a term that conceptually overlaps with 'data colonialism', as a form of injustice.
Politically, it enforces digital capitalism's hegemony. Ecologically, it negatively impacts the environment and intensifies the extraction of natural resources and consumption of energy.
arXiv Detail & Related papers (2024-05-23T09:45:37Z) - CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting [73.94059188347582]
We uncover culture perceptions of three SOTA models on 110 countries and regions on 8 culture-related topics through culture-conditioned generations.
We discover that culture-conditioned generation consist of linguistic "markers" that distinguish marginalized cultures apart from default cultures.
arXiv Detail & Related papers (2024-04-16T00:50:43Z) - NLP Progress in Indigenous Latin American Languages [44.8359369488204]
The paper focuses on the marginalization of indigenous language communities in the face of rapid technological advancements.
We highlight the cultural richness of these languages and the risk they face of being overlooked in the realm of Natural Language Processing.
arXiv Detail & Related papers (2024-04-08T10:04:55Z) - Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking [48.21982147529661]
This paper introduces a novel approach for massively multicultural knowledge acquisition.
Our method strategically navigates from densely informative Wikipedia documents on cultural topics to an extensive network of linked pages.
Our work marks an important step towards deeper understanding and bridging the gaps of cultural disparities in AI.
arXiv Detail & Related papers (2024-02-14T18:16:54Z) - A Material Lens on Coloniality in NLP [57.63027898794855]
Coloniality is the continuation of colonial harms beyond "official" colonization.
We argue that coloniality is implicitly embedded in and amplified by NLP data, algorithms, and software.
arXiv Detail & Related papers (2023-11-14T18:52:09Z) - Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges [22.21928139733195]
I argue that colonialism has a history of altering the beliefs and values of colonized peoples.
I suggest that AI alignment be decolonialized using three forms of openness.
One concept used is vi'sedsa-dharma, or context-specific notions of right and wrong.
arXiv Detail & Related papers (2023-09-10T14:04:21Z) - Re-contextualizing Fairness in NLP: The Case of India [9.919007681131804]
We focus on NLP fair-ness in the context of India.
We build resources for fairness evaluation in the Indian context.
We then delve deeper into social stereotypes for Region andReligion, demonstrating its prevalence in corpora and models.
arXiv Detail & Related papers (2022-09-25T13:56:13Z) - How can NLP Help Revitalize Endangered Languages? A Case Study and
Roadmap for the Cherokee Language [91.79339725967073]
More than 43% of the languages spoken in the world are endangered.
In this work, we focus on discussing how NLP can help revitalize endangered languages.
We take Cherokee, a severely-endangered Native American language, as a case study.
arXiv Detail & Related papers (2022-04-25T18:25:57Z) - Towards an Atlas of Cultural Commonsense for Machine Reasoning [18.472517610024866]
Existing commonsense reasoning datasets for AI and NLP tasks fail to address an important aspect of human life: cultural differences.
We introduce an approach that extends prior work on crowdsourcing commonsense knowledge by incorporating differences in knowledge that are attributable to cultural or national groups.
We demonstrate the technique by collecting commonsense knowledge that surrounds six fairly universal rituals across two national groups: the United States and India.
arXiv Detail & Related papers (2020-09-11T21:24:33Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.