Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data
- URL: http://arxiv.org/abs/2303.05349v1
- Date: Thu, 9 Mar 2023 15:46:54 GMT
- Title: Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data
- Authors: Anna-Carolina Haensch, Sarah Ball, Markus Herklotz, Frauke Kreuter
- Abstract summary: We analyzed the content of the 100 most popular videos in English tagged with #chatgpt, which collectively garnered over 250 million views.
Most of the videos promoted the use of ChatGPT for tasks like writing essays or code.
What is, however, missing from the analyzed clips on TikTok are videos that discuss ChatGPT producing content that is nonsensical or unfaithful to the training data.
- Score: 3.441021278275805
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Advanced large language models like ChatGPT have gained considerable
attention recently, including among students. However, while the debate on
ChatGPT in academia is making waves, more understanding is needed among
lecturers and teachers on how students use and perceive ChatGPT. To address
this gap, we analyzed the content on ChatGPT available on TikTok in February
2023. TikTok is a rapidly growing social media platform popular among
individuals under 30. Specifically, we analyzed the content of the 100 most
popular videos in English tagged with #chatgpt, which collectively garnered
over 250 million views. Most of the videos we studied promoted the use of
ChatGPT for tasks like writing essays or code. In addition, many videos
discussed AI detectors, with a focus on how other tools can help to transform
ChatGPT output to fool these detectors. This also mirrors the discussion among
educators on how to treat ChatGPT as lecturers and teachers in teaching and
grading. What is, however, missing from the analyzed clips on TikTok are videos
that discuss ChatGPT producing content that is nonsensical or unfaithful to the
training data.
Related papers
- Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT [11.282878158641967]
We developed a ChatGPT-based teaching application and integrated it into our undergraduate medical imaging course in the Spring 2024 semester.
This study investigates the use of ChatGPT throughout a semester-long trial, providing insights into students' engagement, perception, and the overall educational effectiveness of the technology.
The findings indicate that ChatGPT offers significant advantages such as improved information access and increased interactivity, but its adoption is accompanied by concerns about the accuracy of the information provided.
arXiv Detail & Related papers (2024-07-08T10:44:34Z) - Primacy Effect of ChatGPT [69.49920102917598]
We study the primacy effect of ChatGPT: the tendency of selecting the labels at earlier positions as the answer.
We hope that our experiments and analyses provide additional insights into building more reliable ChatGPT-based solutions.
arXiv Detail & Related papers (2023-10-20T00:37:28Z) - Chatbot-supported Thesis Writing: An Autoethnographic Report [0.0]
ChatGPT might be applied to formats that require learners to generate text, such as bachelor theses or student research papers.
ChatGPT is to be valued as a beneficial tool in thesis writing.
However, writing a conclusive thesis still requires the learner's meaningful engagement.
arXiv Detail & Related papers (2023-10-14T09:09:26Z) - "ChatGPT, a Friend or Foe for Education?" Analyzing the User's
Perspectives on the Latest AI Chatbot Via Reddit [0.0]
This study has analyzed 247 Reddit top posts related to the educational use of ChatGPT.
Results show that the majority of the users took a neutral viewpoint.
There was more positive perception than negative regarding the usefulness of ChatGPT in education.
arXiv Detail & Related papers (2023-09-27T23:59:44Z) - ChatGPT is Good but Bing Chat is Better for Vietnamese Students [0.0]
This study examines the efficacy of two SOTA large language models (LLMs), namely ChatGPT and Microsoft Bing Chat (BingChat), in catering to the needs of Vietnamese students.
We conduct a comparative analysis of their academic achievements in various disciplines, encompassing mathematics, literature, English language, physics, chemistry, biology, history, geography, and civic education.
The results of our study suggest that BingChat demonstrates superior performance compared to ChatGPT across a wide range of subjects, with the exception of literature, where ChatGPT exhibits better performance.
arXiv Detail & Related papers (2023-07-17T06:36:53Z) - Transformative Effects of ChatGPT on Modern Education: Emerging Era of
AI Chatbots [36.760677949631514]
ChatGPT was released to provide coherent and useful replies based on analysis of large volumes of data.
Our preliminary evaluation concludes that ChatGPT performed differently in each subject area including finance, coding and maths.
There are clear drawbacks in its use, such as the possibility of producing inaccurate or false data.
Academic regulations and evaluation practices need to be updated, should ChatGPT be used as a tool in education.
arXiv Detail & Related papers (2023-05-25T17:35:57Z) - ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time [54.18651663847874]
ChatGPT has achieved great success and can be considered to have acquired an infrastructural status.
Existing benchmarks encounter two challenges: (1) Disregard for periodical evaluation and (2) Lack of fine-grained features.
We construct ChatLog, an ever-updating dataset with large-scale records of diverse long-form ChatGPT responses for 21 NLP benchmarks from March, 2023 to now.
arXiv Detail & Related papers (2023-04-27T11:33:48Z) - To ChatGPT, or not to ChatGPT: That is the question! [78.407861566006]
This study provides a comprehensive and contemporary assessment of the most recent techniques in ChatGPT detection.
We have curated a benchmark dataset consisting of prompts from ChatGPT and humans, including diverse questions from medical, open Q&A, and finance domains.
Our evaluation results demonstrate that none of the existing methods can effectively detect ChatGPT-generated content.
arXiv Detail & Related papers (2023-04-04T03:04:28Z) - ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models [49.52083248451775]
Large language models (LLMs) have made significant progress in NLP.
We specifically focus on ChatGPT, a widely used and easily accessible LLM.
We conduct a series of experiments on 11 datasets to evaluate ChatGPT's commonsense abilities.
arXiv Detail & Related papers (2023-03-29T03:05:43Z) - Can ChatGPT Understand Too? A Comparative Study on ChatGPT and
Fine-tuned BERT [103.57103957631067]
ChatGPT has attracted great attention, as it can generate fluent and high-quality responses to human inquiries.
We evaluate ChatGPT's understanding ability by evaluating it on the most popular GLUE benchmark, and comparing it with 4 representative fine-tuned BERT-style models.
We find that: 1) ChatGPT falls short in handling paraphrase and similarity tasks; 2) ChatGPT outperforms all BERT models on inference tasks by a large margin; 3) ChatGPT achieves comparable performance compared with BERT on sentiment analysis and question answering tasks.
arXiv Detail & Related papers (2023-02-19T12:29:33Z) - Is ChatGPT a General-Purpose Natural Language Processing Task Solver? [113.22611481694825]
Large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot.
Recently, the debut of ChatGPT has drawn a great deal of attention from the natural language processing (NLP) community.
It is not yet known whether ChatGPT can serve as a generalist model that can perform many NLP tasks zero-shot.
arXiv Detail & Related papers (2023-02-08T09:44:51Z)
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.