A small tool to view real-world ActivityPub objects as JSON! Enter a URL
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Accept
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to the server to view the underlying object.
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"id": "https://techhub.social/users/nic221/statuses/114186126132968887",
"type": "Note",
"summary": null,
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"published": "2025-03-18T23:53:32Z",
"url": "https://techhub.social/@nic221/114186126132968887",
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"content": "<p>One Does Not Simply Meme Alone: Evaluating Co-Creativity Between LLMs and Humans in the Generation of Humor <a href=\"https://arxiv.org/pdf/2501.11433\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">arxiv.org/pdf/2501.11433</span><span class=\"invisible\"></span></a> <a href=\"https://techhub.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://techhub.social/tags/memes\" class=\"mention hashtag\" rel=\"tag\">#<span>memes</span></a> <a href=\"https://techhub.social/tags/CoCreation\" class=\"mention hashtag\" rel=\"tag\">#<span>CoCreation</span></a></p>",
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"en": "<p>One Does Not Simply Meme Alone: Evaluating Co-Creativity Between LLMs and Humans in the Generation of Humor <a href=\"https://arxiv.org/pdf/2501.11433\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">arxiv.org/pdf/2501.11433</span><span class=\"invisible\"></span></a> <a href=\"https://techhub.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://techhub.social/tags/memes\" class=\"mention hashtag\" rel=\"tag\">#<span>memes</span></a> <a href=\"https://techhub.social/tags/CoCreation\" class=\"mention hashtag\" rel=\"tag\">#<span>CoCreation</span></a></p>"
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"url": "https://files.techhub.social/media_attachments/files/114/186/126/099/603/501/original/10d4fab559bbce26.jpeg",
"name": "form of creative expression. We conducted a user study with three groups of 50 participants each: a human-only group creating memes without Al assistance, a human-AI collaboration group interacting with a state-of-the-art LLM model, and an Al-only group where the LLM autonomously generated memes. We assessed the quality of the generated memes through crowdsourcing, with each meme rated on creativity, humor, and shareability. Our results showed that LLM assistance increased the number of ideas generated and reduced the effort participants felt. However, it did not improve the quality of the memes when humans were collaborated with LLM. Interestingly, memes created entirely by Al performed better than both human-only and human-Al collaborative memes in all areas on average. However, when looking at the top-performing memes, human-created ones were better in humor, while human-Al collaborations stood out in creativity and shareability. These",
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