499 research outputs found
ChatGPT Is A User-Generated Knowledge-Sharing Killer
Large Language Models (LLMs), e.g., ChatGPT, is expected to reshape a broad spectrum of domains. This study examines the impact of ChatGPT on question aksing in Q&A communitits via the natural experiment. Safe-guided by supporting evidence of parallel trends, a difference-in-difference (DID) analysis suggests the launching trigger an average 2.6% reduction of question-asking on Stack Overflow, confirming a lower-search-cost-enabled substitution. Our further analysis suggests that, this substitution effect has resulted in more longer, less readable and less cognitive and hence more sophisticated questions on average. Finally, the insignificant change in the score given by viewers per question suggests no improvement in the question quality and decreased platform-wide engagement. Our moderation analysis further ascertain the types of individuals who are more susceptible to ChatGPT. Taken together, our paper suggests LLMs may threaten the survival of user-generated knowledge-sharing communities, which may further threaten the sustainable learning and long-run improvement of LLMs
COVID-19 Community Archives and the Platformization of Digital Cultural Memory
In this study we aim to understand how GitHub is used by COVID-19 interest groups for organizing community archives to protect their knowledge from the Chinese governmentâs censorship efforts. We introduce two case studies of such COVID-19 community archives published with GitHub that appeared online in early 2020. Using public GitHub repository documentation and web archive web crawls from the Internet Archiveâs Wayback Machine, we describe how these digital community archives emerge and exist on the platform, how knowledge of them circulated on other US based social media sites, and show strategies and tactics these volunteers used to keep these community archives alive, resist censorship, and guard the safety of these collections. We argue that these COVID-19 community archives are at risk because of their platform accessibility as much as the content they document, and that understanding how organizers use GitHubâs platform affordances is essential to theorizing how platforms are impacting approaches to preserving cultural memory
Covid-19 transition, could Twitter support UK Universities?
This paper seeks to conceptually explore the use of social media platforms such as Twitter as a microblog to share Covid-19 prescribed knowledge through developing a conceptual framework of university ecosystem knowledge regime. The framework outlines three ecosystem artefacts; teaching, assessment, and student experience and what knowledge sharing strategies that may help representing these artefacts to the wider community of the ecosystem. The paper provides valuable practical insight to UK Universities practitioners, students and concerned stakeholders on the use of Twitter microblogs to share or retrieve knowledge required to cope with the current Covid-19 transition. The paper sheds light on the unique characteristics of knowledge sharing by UK Universities through Twitter in relation to the current Covid-19 pandemic. The paper also highlights the unconventional use of Twitter by UK Universities to share Covid-19 prescribed knowledge with its stakeholders
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Strength, Weakness, Opportunity, Threat (SWOT) Analysis of the Adaptations to Anatomical Education in the United Kingdom and Republic of Ireland in Response to the Covidâ19 Pandemic
The Covid-19 pandemic has driven the fastest changes to higher education across the globe, necessitated by social distancing measures preventing any face to face teaching. This has led to an almost immediate switch to distance learning by higher education institutions. Anatomy faces some unique challenges. Intrinsically, anatomy is a three-dimensional subject that requires a sound understanding of the relationships between structures, often achieved by the study of human cadaveric material, models and virtual resources. This study sought to identify the approaches taken in the United Kingdom and Republic of Ireland to deliver anatomical education through online means. Data were collected from 14 different universities in the United Kingdom and Republic of Ireland and compared adopting a thematic analysis approach. Once themes were generated, they were collectively brought together using a strength, weakness, opportunity, threat (SWOT) analysis. Key themes included the opportunity to develop new online resources and the chance to engage in new academic collaborations. Academics frequently mentioned the challenge that time constrains could place on the quality and effectiveness of these resources; especially as in many cases the aim of these resources is to compensate for a lack of exposure to cadaveric exposure. Comparisons of the actions taken by multiple higher education institutions reveals the ways that academics have tried to balance this demand. Discussions will facilitate decisions being made by higher education institutions regarding adapting the curriculum and assessment methods in anatomy
Big data HE communities : could Twitter support UK universities amid the COVID-19 transition?
This chapter intends to explore the use of the Twitter social media platform as a microblog to share COVID-19 prescribed knowledge through observing the Twitter accounts of the five most student-populated UK universities. The chapter provides valuable practical insight to UK universities practitioners, students, and concerned stakeholders on the use of Twitter microblogs to share or retrieve knowledge required to cope with the current COVID-19 transition. The chapter sheds light on the unique characteristics of knowledge shared by UK universities through Twitter in relation to the current COVID-19 pandemic. The chapter also highlights the unconventional use of Twitter by UK universities to share COVID-19 prescribed knowledge with their stakeholders
Deplatforming, demotion and folk theories of Big Tech persecution
This article examines the moderation of conspiracy narratives surrounding COVID-19 through digital methods analysis of deplatformed or demoted videos. Building upon the literature on moderation, it performs a comparison of the types of content moderated by YouTube during the early stages of the pandemic. It seeks to determine the extent to which YouTube's own moderation actions are brought in as part of the conspiratorial narratives surrounding COVID-19, while investigating how it is that moderation becomes entangled with questions of truth and visibility.This article examines YouTubeâs moderation of conspiracy narratives surrounding COVID-19 through an analysis of deplatformed and demoted YouTube videos. Building upon the literature on moderation, it compares the types of content moderated by YouTube from April to October, 2020. In doing so, it seeks to determine the extent to which YouTube's own moderation actions are brought in as part of the conspiratorial narratives surrounding COVID-19, while investigating how it is that moderation becomes entangled with questions of truth and visibility.
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Keywords: content moderation, conspiracy theories, YouTub
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