ChatGPT is used most widely among those between 25 and 34 around the world. The youngest group, those under 24, are the second largest userbase, and together those under 34 account for over 60 percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over 65 percent of total users in 2023.

In a survey conducted across four Southeast Asian countries in February 2023, almost half of the respondents selected collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, ethical issues related to data privacy and intellectual property were a concern for 42 percent of the respondents.

According to a survey of adults in the United States conducted in January 2023, 12 percent of respondents used ChatGPT to generate text themselves. In comparison, overall 43 percent of the female respondents claimed to have never used nor seen anyone else use it, while 38 percent of respondents reported having seen text being generated by the AI technology for someone else.

Unsurprisingly, those between 18 and 24 were the most likely to use ChatGPT among the various age groups. This is likely due to younger people adopting tech at a faster rate than older generations.

A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N=1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of socio-demographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but neither gender nor income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.

According to a survey of adults in the United States conducted in January 2023, 17 percent of respondents age between 30 to 44 years old claimed to have used ChatGPT to generate text themselves. In comparison, 48 percent of respondents aged between 18 and 29 years old and another 46 percent of respondents aged between 30 to 44 years old reported having seen text being generated by the AI technology for someone else. Meanwhile, 59 percent of those older than 65 years old respondents claimed to have never used nor seen anyone else use it.

According to February and March 2023 survey, 85 percent of the respondents never used ChatGPT nor know what it is. Five percent already used ChatGPT, while 10 percent have not but have already heard about it.

In January 2024, ChatGPT online domain chat.openai.com registered over 19.4 percent of its traffic as originating in the United States. Users based in Indonesia generated approximately 11.7 percent of the total visits to the chatbot platform, while users in Indonesia accounted for 6.3 percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than five percent of the total traffic recorded in the examined period.

A January 2023 survey of IT and cybersecurity decision-makers of companies across North America, the United Kingdom, and Australia revealed some interesting perspectives. First, it found that over half of the respondents, 53 percent, believed that hackers might use ChatGPT to craft more believable and legitimate-sounding phishing e-mails. A further 49 percent thought that the AI tool would help less experienced hackers improve their technical knowledge and develop their skills, as well as for spreading misinformation.

Regression models for usage, visits and adoption of ChatGPT.

A 2023 survey found that approximately 39 percent of respondents in Indonesia reported using ChatGPT on a weekly basis for various purposes, from work to entertainment. Meanwhile, around 30 percent of respondents stated that they rarely used ChatGPT.

Objective: Our objective is to evaluate the efficacy of ChatGPT 4 in accurately and effectively delivering genetic information, building on previous findings with ChatGPT 3.5. We focus on assessing the utility, limitations, and ethical implications of using ChatGPT in medical settings. Materials and Methods: A structured questionnaire, including the Brief User Survey (BUS-15) and custom questions, was developed to assess ChatGPT 4's clinical value. An expert panel of genetic counselors and clinical geneticists independently evaluated ChatGPT 4's responses to these questions. We also involved comparative analysis with ChatGPT 3.5, utilizing descriptive statistics and using R for data analysis. Results: ChatGPT 4 demonstrated improvements over 3.5 in context recognition, relevance, and informativeness. However, performance variability and concerns about the naturalness of the output were noted. No significant difference in accuracy was found between ChatGPT 3.5 and 4.0. Notably, the efficacy of ChatGPT 4 varied significantly across different genetic conditions, with specific differences identified between responses related to BRCA1 and HFE. Discussion and Conclusion: This study highlights ChatGPT 4's potential in genomics, noting significant advancements over its predecessor. Despite these improvements, challenges remain, including the risk of outdated information and the necessity of ongoing refinement. The variability in performance across different genetic conditions underscores the need for expert oversight and continuous AI training. ChatGPT 4, while showing promise, emphasizes the importance of balancing technological innovation with ethical responsibility in healthcare information delivery. Methods Study Design This study was conducted to evaluate the performance of ChatGPT 4 (March 23rd, 2023) Model) in the context of genetic counseling and education. The evaluation involved a structured questionnaire, which included questions selected from the Brief User Survey (BUS-15) and additional custom questions designed to assess the clinical value of ChatGPT 4's responses. Questionnaire Development The questionnaire was built on Qualtrics, which comprised twelve questions: seven selected from the BUS-15 preceded by two additional questions that we designed. The initial questions focused on quality and answer relevancy: 1. The overall quality of the Chatbot’s response is: (5-point Likert: Very poor to Very Good) 2. The Chatbot delivered an answer that provided the relevant information you would include if asked the question. (5-point Likert: Strongly disagree to Strongly agree) The BUS-15 questions (7-point Likert: Strongly disagree to Strongly agree) focused on: 1. Recognition and facilitation of users’ goal and intent: Chatbot seems able to recognize the user’s intent and guide the user to its goals. 2. Relevance of information: The chatbot provides relevant and appropriate information/answer to people at each stage to make them closer to their goal. 3. Maxim of quantity: The chatbot responds in an informative way without adding too much information. 4. Resilience to failure: Chatbot seems able to find ways to respond appropriately even when it encounters situations or arguments it is not equipped to handle. 5. Understandability and politeness: The chatbot seems able to understand input and convey correct statements and answers without ambiguity and with acceptable manners. 6. Perceived conversational credibility: The chatbot responds in a credible and informative way without adding too much information. 7. Meet the neurodiverse needs: Chatbot seems able to meet needs and be used by users independently form their health conditions, well-being, age, etc. Expert Panel and Data Collection A panel of experts (two genetic counselors and two clinical geneticists) was provided with a link to the survey containing the questions. They independently evaluated the responses from ChatGPT 4 without discussing the questions or answers among themselves until after the survey submission. This approach ensured unbiased evaluation.

As of 2023, about 70 percent of the global population who are familiar with ChatGPT were using the tool at least once a month, while over 35 percent reported using it weekly. Indian respondents were the most frequent users, having just over 36 percent of their respondents claimed to use ChatGPT every day.

Input and output data from long-term learning in mathematical statistics using ChatGPT

In a survey conducted across four Southeast Asian countries in February 2023, 76 percent of the respondents in Singapore selected the collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, this was an issue for 36 percent of respondents in Indonesia.

🧠 Awesome ChatGPT Prompts [CSV dataset]

This is a Dataset Repository of Awesome ChatGPT Prompts View All Prompts on GitHub

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Authoring of help content within educational technologies is labor intensive, requiring many iterations of content creation, refining, and proofreading. In this paper, we conduct an efficacy evaluation of ChatGPT-generated help using a 3 x 4 study design (N = 274) to compare the learning gains of ChatGPT to human tutor-authored help across four mathematics problem subject areas. Participants are randomly assigned to one of three hint conditions (control, human tutor, or ChatGPT) paired with one of four randomly assigned subject areas (Elementary Algebra, Intermediate Algebra, College Algebra, or Statistics). We find that only the ChatGPT condition produces statistically significant learning gains compared to a no-help control, with no statistically significant differences in gains or time-on-task observed between learners receiving ChatGPT vs human tutor help. Notably, ChatGPT-generated help failed quality checks on 32% of problems. This was, however, reducible to nearly 0% for algebra problems and 13% for statistics problems after applying self-consistency, a “hallucination” mitigation technique for Large Language Models.

The AI Chatting Software market is experiencing robust growth, driven by increasing demand for automated customer service, personalized learning experiences, and advanced healthcare solutions. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $75 billion by 2033. This significant expansion is fueled by several key factors. The rising adoption of AI-powered chatbots across various industries, including e-commerce, education, and healthcare, is a primary driver. Businesses are leveraging these chatbots to enhance customer engagement, streamline operations, and reduce costs. Furthermore, advancements in Natural Language Processing (NLP) and Machine Learning (ML) are leading to more sophisticated and human-like chatbot interactions, improving user experience and satisfaction. The increasing availability of cloud-based platforms and APIs is also facilitating wider adoption, lowering the barrier to entry for businesses of all sizes. However, challenges such as data privacy concerns, the need for continuous model training and improvement, and the potential for bias in AI algorithms represent constraints to market growth. Market segmentation reveals strong growth across all application areas, with Commercial Customer Service and Educational Assistance currently leading the way. Key players such as ChatGPT, Dialogflow, and others are actively competing to innovate and capture market share through enhanced features, improved performance, and wider integration capabilities. The geographical distribution of the AI Chatting Software market is diverse, with North America and Europe currently holding significant market share due to early adoption and technological advancements. However, rapid growth is anticipated in the Asia-Pacific region, driven by increasing digitalization and a burgeoning tech-savvy population. Future growth will depend on continued technological advancements in areas like sentiment analysis, emotional intelligence, and multilingual support, as well as the successful addressing of ethical considerations related to AI bias and data security. The market’s future trajectory will also be shaped by regulatory changes and evolving user expectations concerning the level of personalization and human-like interaction. Ultimately, the continued refinement of AI-powered chatbots and their integration into everyday applications promises to drive sustained market expansion in the coming years.

The development of argumentative text and information comprehension (CoI) skills related to the critical reconstruction of meaning (CT) is crucial in undergraduate education. Especially now in the era of social media and AI-mediated information. Generative AI aids in information creation, but its unconscious use can complicate complex information navigation. Argument maps (AM), commonly used for analyzing analog and static texts, can help visualize, understand, and rework multimodal and dynamic arguments and information.

Stemming from the Vygotskian idea, our study used a design-based research approach on the use of AMs and ChatGPT as socio-technical artifacts to stimulate and support the understanding of information (CoI) and thus the development of critical thinking (CT). The workshop introduced the multimodal element through a 3-group quasi-experiment. The first group dealt with fully analog texts, the second group used maps with multimodal textual modes, and the third group only interacted with ChatGPT. The research focused on comparing the three groups and focusing on the two experimental groups (experimental macro-focus).

The research had three main objectives: 1) to test whether AMs improved students' CoI enhancement and critical processing (CT); 2) to determine whether interaction with ChatGPT supported information reprocessing and critical construction of opinions and assessment tools; and 3) to determine whether interaction with ChatGPT alone, without AMs, still fostered greater integration of information and viewpoints.

Our preliminary analysis showed that AMs improved students' CoI and CT, especially when exposed to multimodal information. ChatGPT interaction increased critical reflection and awareness of AI's role in education. Students using only ChatGPT performed well in argumentative reworking, suggesting that interaction with the chatbot can be effective. However, integrating AMs and ChatGPT could provide optimal support for comprehension and critical thinking skills.

This Zenodo record follows the full analysis process with R (https://cran.r-project.org/bin/windows/base/ ) and Nvivo (https://lumivero.com/products/nvivo/) composed of the following datasets, script and results:

1. Comprehension of Text and AMs Results - Arg_Map.xlsx

2. Critical Thinking level - CriThink.xlsx

3. Descriptive and Inferential Statistics Comprehension and Critical Thinking - Preliminary Analysis.R

4. Elaboration and Integration Opinion - Opi_G1.xlsx; Opi_G2.xlsx & Opi_G3.xlsx

5. Descriptive and Inferential Statistics Opinion level - Preliminary Analysis_opi.R

6. Sentiment Analysis - Sentiment Analysis.R

7. Vocabulary Frequent words - Vocabulary.csv

8. Codebook qualitative Analysis with Nvivo (Codebook.xlsx)

9. Results Nvivo Analysis G1 & G2 - Codebook-ChatGPT_G1&G2.docx

Any comments or improvements are welcome!

According to a survey conducted in Japan in June 2023, 55.6 percent of the respondents were to varying degrees inclined to use the OpenAI chatbot ChatGPT in the future. The survey also showed that the share of respondents who rejected the artificial intelligence software was slightly larger than the portion that was undecided on the issue.