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Summary

Public discourse on the Chinese open-source generative AI model DeepSeek reveals predominantly positive sentiment, with users discussing its capabilities, compatibility, and comparisons to ChatGPT. Concerns about censorship and privacy also emerged, highlighting global AI development tensions.

Keywords:
DeepseekRedditgenerative AInatural language processingnetwork analysissentiment analysistopic modeling

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Area of Science:

  • Artificial Intelligence
  • Computational Social Science
  • Sociotechnical Systems

Background:

  • The launch of DeepSeek, a Chinese open-source generative AI model, prompted significant public discussion.
  • The r/deepseek subreddit served as a primary platform for evaluating the AI model's capabilities and societal implications.

Purpose of the Study:

  • To analyze the sociotechnical perceptions surrounding DeepSeek by examining online discourse.
  • To understand public sentiment, emotions, and key themes related to the integration of emerging AI systems.

Main Methods:

  • Analysis of 46,649 posts and comments from r/deepseek (January-May 2025).
  • Utilized VADER sentiment analysis, Hartmann emotion classification, BERTopic modeling, hyperlink extraction, and network analysis.
  • Correlated sentiment/emotion scores with dominant topics and community engagement patterns.

Main Results:

  • Predominantly positive sentiment (47.23% posts, 44.26% comments), with neutrality, surprise, and fear as key emotions.
  • Top topics included open-source AI, DeepSeek usage, device compatibility, ChatGPT comparisons, and censorship concerns.
  • Hyperlinks pointed to GitHub, Hugging Face, and DeepSeek services; network analysis identified 'Open-Source AI Models' as a cohesive cluster.

Conclusions:

  • Community perception framed DeepSeek as both a technical tool and a geopolitical entity.
  • Enthusiasm for DeepSeek's performance and open-source nature contrasted with concerns about censorship, privacy, and ideological influence.
  • Collective perception evolved through decentralized dialogue, reflecting broader tensions in global AI development regarding openness, trust, and legitimacy.