The DOI matches its Crossref record; 201 of the 207 references it cites were found in a registry or an index, and 6 are not checked yet; none of the 117 sources its claims cite is checked for support yet.
Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions
Open accessAbstract
Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various domains, including passing exams and creative writing. However, challenges and concerns related to biases and trust persist. In this work, we present a comprehensive review of over 100 Scopus-indexed publications on ChatGPT, aiming to provide a taxonomy of ChatGPT research and explore its applications. We critically analyze the existing literature, identifying common approaches employed in the studies. Additionally, we investigate diverse application areas where ChatGPT has found utility, such as healthcare, marketing and financial services, software engineering, academic and scientific writing, research and education, environmental science, and natural language processing. Through examining these applications, we gain valuable insights into the potential of ChatGPT in addressing real-world challenges. We also discuss crucial issues related to ChatGPT, including biases and trustworthiness, emphasizing the need for further research and development in these areas. Furthermore, we identify potential future directions for ChatGPT research, proposing solutions to current challenges and speculating on expected advancements. By fully leveraging the capabilities of ChatGPT, we can unlock its potential across various domains, leading to advancements in conversational AI and transformative impacts in society.
Checked 2026-10-06 · 6 references not checked yet
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review synthesizes 109 Scopus-indexed ChatGPT publications up to March 25, 2023, proposing a taxonomy across healthcare, marketing/finance, software engineering, academic/scientific writing, research/education, environmental science, and NLP. It identifies intrinsic and usage-related challenges—hallucination, bias, misinformation, copyright, over-reliance—and future directions in conversational ability, personalization, multimodal design, and trustworthiness.
Key findings
- Of 109 included articles from 349 authors across 53 nations, medicine was the largest subject area at 23%, followed by social sciences at 20% and computer science at 11%; the United States contributed 33 publications, the United Kingdom 10, and Australia and China 9 each.
- The corpus comprised 68 evaluations, 39 prediction articles, and 10 reviews; most evaluations focused on scientific writing (30 publications), followed by education and research ability.
- Applications span healthcare, marketing/financial services, software engineering, academic/scientific writing, research/education, environmental science, and NLP; for example, ChatGPT’s bug-fixing was comparable to CoCoNut and Codex and superior to standard approaches, and in one abstract-generation experiment 68% of generated abstracts were correctly identified while 14% of real abstracts were mistakenly identified as generated.
- Challenges are categorized as intrinsic (hallucination, biased content, not real-time, misinformation, inexplicability) and usage-related (ethical issues, copyright violation, over-reliance); future directions include improving conversational capabilities, personalization, multimodal design, and trustworthiness.
Methods
- Systematic literature review following Kitchenham (2004), searching Scopus with inclusion criteria: English, peer-reviewed, keyword “chatgpt” or “chat-gpt” in abstract/title, discusses ChatGPT, and published by March 25, 2023; exclusions included short papers, duplicates, and earlier versions with errata.
- A total of 109 articles were included and analyzed by subject area, country/collaboration, publication trends, taxonomy, applications, challenges, and future directions.
Limitations
- The paper states ChatGPT’s own limitations—intrinsic issues such as hallucination, biased content, not being real-time, misinformation, and inexplicability, plus usage-related issues such as ethical concerns, copyright violation, and over-reliance—and notes that early ChatGPT research still faces limitations.
- The paper does not explicitly label limitations of the review itself; evident from the methodology, the search is limited to Scopus, English, peer-reviewed publications up to March 25, 2023, excluding short papers, duplicates, and errata, making coverage database-specific and time-bound.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 117 cited sources checked · 0 supported · 0 flagged
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Notably, the field of medicine had the highest representation, accounting for 23% of the total publications.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This was followed by social sciences (20%) and computer science (11%) (see Figure 1).”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It was followed by the United Kingdom with 10 publications, and Australia and China with 9 publications each.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This was followed by social sciences (20%) and computer science (11%) (see Figure 1).”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The United States ranked first as the country of origin for published articles, with a total of 33 publications in the corpus.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“After applying the specified criteria, a total of 109 articles were included in the analysis.”
- Also stated in: § IV. RECENT TREND OF PUBLICATIONS RELATED TO CHATGPT · p. 4 · plain
“A thorough literature review was conducted, and 109 articles were found after searching the Scopus database for relevant articles on ChatGPT.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
- Also stated in: § IV. RECENT TREND OF PUBLICATIONS RELATED TO CHATGPT · p. 4 · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Making predictions using ChatGPT for different fields is the subject of the second-largest group of articles (39) and the fewest reviews (10 publications).”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Upon reviewing the entire body of literature related to ChatGPT, a prevalent pattern has emerged in the structure of most articles, as shown in Figure 3. Typically, authors select a topic of interest, ask ChatGPT questions, and then provide interpretations based on its responses.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is noted that the majority of authors have evaluated ChatGPT for its capacity for scientific writing (30 publications), whether in terms of producing data Maddigan & Susnjak (2023), writing a scientific article D'Amico et al. (2023), Anderson et al. (2023), Farhat et al. (2023), or fetching references for particular subjects Gravel et al. (2023), Alkaissi & McFarlane (2023), Farhat et al. (2023”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Following the classification of the retrieved articles using either their abstracts or full texts, it was discovered that there were mainly three categories of articles published up until March 25th, 2023: 1) evaluations of ChatGPT, 2) predictions made using ChatGPT, and 3) reviews on ChatGPT.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
- Probably not a substantial claim. 80
- It may state two separate claims as one. 39
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Multidisciplinary subjects and health professionals made up 8% and 7% of the total corpus, respectively.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These articles involved contributions from 349 authors representing 53 different nations, indicating a wide range of international participation in the literature on ChatGPT.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Multidisciplinary subjects and health professionals made up 8% and 7% of the total corpus, respectively.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It was followed by the United Kingdom with 10 publications, and Australia and China with 9 publications each.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“As a result, many authors have expressed concerns regarding the ethical and scientific implications of ChatGPT's features and their potential negative effects on scientific academia.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
None of the sources cited for this claim have been checked yet.
In the paper
“Some have also asked questions based on their extensive understanding of various fields, including parasitology Huh (2023 b ), ˇ Slapeta (2023), clinical diagnosis Hirosawa et al. (2023), environmental sciences Rillig et al. (2023), public health Biswas (2023 e ), etc.”
What the sources say
- Not checked yetcites Huh (2023 b )
- Not checked yetcites ˇ Slapeta (2023)
- Not checked yetcites Hirosawa et al. (2023)
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- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Meanwhile, several articles have explored how ChatGPT could impact learners and educators, as well as the ethical considerations that must be taken into account when using it.”
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Iraqi Journal for Computer Science and Mathematics has also published 2 documents as well.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Furthermore, it has been noted that the majority of publications center around either ChatGPT's feature assessment as a scientific writing assistant or predictions about the future of the education system.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
None of the sources cited for this claim have been checked yet.
In the paper
“The different assessments included those for bias Wang (2023 b ), Wang, Miao, Li, Wang & Lin (2023), for study Cooper (2023), for mental health Prada et al. (2023), for public health Jungwirth & Haluza (2023 a ); Biswas (2023 e ), etc.”
What the sources say
- Not checked yetcites Wang (2023 b )
- Not checked yetcites Cooper (2023) source
- Not checked yetcites Prada et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Clinicians and medical professionals probed ChatGPT with hypothetical or real-world patient symptoms to determine whether or not it would aid in the diagnosis or treating patients.”
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- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Next, Accountability in Research has published 4 articles.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Switzerland ranked second in terms of collaboration, with 20 collaborative countries, followed by Australia with 19 collaborations, and the United Kingdom with 18 collaborations (see Figure 2).”
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- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In terms of collaborations, the United States had the most extensive network, collaborating with 24 different countries, accounting for over 18% of the total corpus.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These interpretations can be broadly categorized into two types: those that predict the future of the topic in the context of ChatGPT and those that assess ChatGPT's features and their potential impacts.”
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- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It was followed by the United Kingdom with 10 publications, and Australia and China with 9 publications each.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Ethical considerations are discussed in the majority of the papers either in detail or briefly.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
- Rests on an assumption: The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Despite its potential, the early ChatGPT researches still face some limitations.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
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In the paper
“Additionally, we have identified and discussed ethical concerns.”
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“We have identified certain issues that may need to be addressed, which are classified as intrinsic and usage-centric.”
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Subsequent versions, such as GPT-2, GPT3, and the latest release, GPT-3.5, have experienced notable advancements by significantly augmenting the number of parameters. This augmentation has facilitated the generation of responses that are even more accurate and human-like.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“ChatGPT utilizes a transformer architecture consisting of encoder-decoder layers that collaborate to process and generate natural language text Chen, Yu, Yang, Guo, Bian & Wu (2023).”
What the sources say
- Not checked yetcites Chen, Yu, Yang, Guo, Bian & Wu (2023)
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In the paper
“The transformer architecture of ChatGPT consists of two main components: the encoder and the decoder Budzianowski & Vulic (2019).”
What the sources say
- Not checked yetcites Budzianowski & Vulic (2019)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“ChatGPT is turning out to be a Code Assistant and Debugger. It helps software developers by providing code suggestions, debugging assistance, and answering programming-related questions Aljanabi, Ghazi, Ali, Abed et al. (2023).”
What the sources say
- Not checked yetcites Aljanabi, Ghazi, Ali, Abed et al. (2023)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“The initial iteration of ChatGPT referred to as GPT-1, was equipped with 117 million parameters and underwent training on a substantial corpus of text data Ernst & Bavota (2022).”
What the sources say
- Not checked yetcites Ernst & Bavota (2022) source
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None of the sources cited for this claim have been checked yet.
In the paper
“To continually improve the reliability and accuracy of the model, ChatGPT incorporates reinforcement learning from human feedback (RLHF), allowing it to learn and understand human preferences through extended dialogues Christiano et al. (2017), Stiennon et al. (2020).”
What the sources say
- Not checked yetcites Christiano et al. (2017)
- Not checked yetcites Stiennon et al. (2020)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“ChatGPT has the ability to generate new responses or utilize pre-existing ones Salvagno et al. (2023).”
What the sources say
- Not checked yetcites Salvagno et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Researchers have been exploring and highlighting the potential harms associated with ChatGPT, including the propagation of stereotypes, biased responses, and dissemination of misleading information Liang et al. (2021), Nadeem et al. (2020).”
What the sources say
- Not checked yetcites Liang et al. (2021)
- Not checked yetcites Nadeem et al. (2020)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In marketing, ChatGPT works as a conversational chatbot to handle customer inquiries, provide product recommendations, and assist with order tracking.”
What the sources say
- Not checked yetcites Cascella et al. (2023 a )
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“An essential feature of the transformer architecture is the attention mechanism, which allows the model to selectively focus on different parts of the input text while generating the output Jain et al. (n.d.).”
What the sources say
- Not checked yetcites Jain et al. (n.d.)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Moreover, there are concerns that ChatGPT-generated content may infringe upon copyright and intellectual property rights Deng & Lin (2022).”
What the sources say
- Not checked yetcites Deng & Lin (2022)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Following its launch, ChatGPT quickly gained a lot of popularity in a variety of disciplines Cox (2023), Dwivedi et al. (2023), Tlili et al. (2023 a ), including academia Chen (2023 b ) and science Morreel et al. (2023).”
What the sources say
- Not checked yetcites Cox (2023)
- Not checked yetcites Dwivedi et al. (2023) source
- Not checked yetcites Tlili et al. (2023 a )
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The rapid dissemination of ChatGPT research resulted in a diverse research landscape due to its wide publicity and acceptance at different levels in daily life.
In the paper
“although it occasionally noticed and corrected them.”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“ChatGPT also had deficits in situational awareness, inference, and consistency”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“and it did not repeat the same advice in a single response.”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“ChatGPT's responses were coherent”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The model's answers included a summary of its understanding of the scenario and question, management options, and disclaimers that reflected its information sources, which were similar to the format of patient information websites.”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“ChatGPT also had deficits in situational awareness, inference, and consistency”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“This feature can enhance the coding experience for less-skilled programmers, making it more user-friendly and intuitive Aljanabi, Ghazi, Ali, Abed et al. (2023).”
What the sources say
- Not checked yetcites Aljanabi, Ghazi, Ali, Abed et al. (2023)
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“source control was often disregarded.”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“To conduct our literature review, we adopted the methodology proposed in Kitchenham (2004).”
What the sources say
- Not checked yetcites Kitchenham (2004)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
In the paper
“while its antimicrobial spectra and regimens were appropriate”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“ChatGPT also had deficits in situational awareness, inference, and consistency”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“We have also performed a screening of the articles by going through the abstract and assessing its relevance to the title under consideration.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
None of the sources cited for this claim have been checked yet.
In the paper
“Research scholars have been using ChatGPT in a variety of ways, including writing scientific literature, gathering data, drafting abstracts for research papers Else (2023), and looking for medical diagnostic advice Hirosawa et al. (2023).”
What the sources say
- Not checked yetcites Else (2023) source
- Not checked yetcites Hirosawa et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“their spelling and grammar were appropriate”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Clinicians often rely on complex information to make decisions, but in telemedicine, the available information is typically limited to language only, making it a potential candidate for interventions using LLM Roosan et al. (2016).”
What the sources say
- Not checked yetcites Roosan et al. (2016)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“The information provided by ChatGPT was consistent”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“ChatGPT has a significant benefit in coding, as it can process human inputs, allowing software developers to supply code snippets or commands in a conversational way rather than providing specific keywords or phrases.”
What the sources say
- Not checked yetcites Aljanabi, Ghazi, Ali, Abed et al. (2023)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“ChatGPT often repeated questions verbatim, including any errors”
What the sources say
- Not checked yetcites Howard et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“After running search queries, inclusion (IC) and exclusion (EC) criteria were created to filter out the retrieved articles from the Scopus database.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Rests on an assumption: The Scopus database and the search queries used capture the relevant literature on ChatGPT.
None of the sources cited for this claim have been checked yet.
In the paper
“There are existing review works on Large Language Models (LLM) Melis et al. (2017), Chen et al. (2021) and AI Generated Content (AIGC) Cao et al. (2023) but they are very broad and do not take into consideration the specificities related to ChatGPT.”
What the sources say
- Not checked yetcites Melis et al. (2017)
- Not checked yetcites Chen et al. (2021)
- Not checked yetcites Cao et al. (2023)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“to contribute to the advance- ment of gastroenterology by generating high-quality re- search questions”
What the sources say
- Not checked yetcites Lahat et al. (2023)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“NLP technologies are being used to create conversational chatbots to mimic the con- versational proficiency of hu- mans.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“The findings revealed that task-specific models like RoBERTa outperformed ChatGPT, particularly in specialized downstream tasks. However, ChatGPT still demonstrated satisfactory performance compared to baseline models in a variety of tasks.”
What the sources say
- Not checked yetcites Amin et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Use ChatGPT's information can be updated and cor- rected, but it may not always reflect the latest knowledge.”
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“In fact, few publishers have recognized the use of ChatGPT for academic writing to promote its ethical usage practices Editorialge (Jan, 2023).”
What the sources say
- Not checked yetcites Editorialge (Jan, 2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT potential to support decision-making in Japanese healthcare settings, but cau- tion is needed due to per- formance improvements re- quired.”
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Unethical use also includes the deliberate generation of manipulated content that can promote misinformation and provoke violence, creating damage at an individual or organizational level Elali & Rachid (2023), Cao et al. (2023).”
What the sources say
- Not checked yetcites Elali & Rachid (2023)
- Not checked yetcites Cao et al. (2023)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Researchers have identified several issues regarding ChatGPT, which can be broadly categorized into two groups: intrinsic limitations and usage-related concerns.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Qin et al. (2023) argued that larger models like ChatGPT can perform NLP tasks without the need for specific data adaptation.”
What the sources say
- Not checked yetcites Qin et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Prolonged questioning could be beneficial in enhanc- ing and improving both the kinds of human reasoning and argumentation imitated by current LLMs.”
What the sources say
- Not checked yetcites Cox & Tzoc (2023)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT can act as a user assistance tool, provid- ing guidance, explanations, and educational resources to users interacting with robots.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“The knowledge and ability to analyze results of para- sitology test by ChatGPT were not yet on par with those of Korean medical stu- dents”
What the sources say
- Not checked yetcites Huh (2023 c , a )
- Not checked yetcites ˇ Slapeta (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“There are also concerns that ChatGPT-generated content may lead to violations of copyright and intellectual property rights Sallam (2023).”
What the sources say
- Not checked yetcites Sallam (2023) source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT's knowl- edge and interpretation in the Chinese Chinese Na- tional Medical Licensing Ex- amination (NMLE) are be- low medical students' level”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“The correct diagnoses within ten differential-diagnosis lists generated by ChatGPT was more than 90%.”
What the sources say
- Not checked yetcites Hirosawa et al. (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These limitations make the usage and deployment of ChatGPT difficult in real-world scenarios.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It can recognize when a word, phrase, or sentence has mul- tiple possible interpretations, leading to potential confu- sion or miscommunication.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Rahman & Watanobe (2023) has experimentally shown that ChatGPT can be used to solve both technical problems, such as engineering and computer programming, and non-technical problems, such as language and literature.”
What the sources say
- Not checked yetcites Rahman & Watanobe (2023)
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT can aid in diag- nosing issues and providing troubleshooting guidance for robotic systems.”
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It includes five major limitations, namely, hallucination, biased content, not real-time, misinformation and inexplicability.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“It is worth noting that the detection of artificially generated fake text and meaningless information is not a new challenge Amancio (2015), Jawahar et al. (2020).”
What the sources say
- Not checked yetcites Amancio (2015)
- Not checked yetcites Jawahar et al. (2020)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT can help establish shared un- derstandings, allocate tasks, and assist in real-time com- munication, thereby improv- ing the overall efficiency and performance of robotic teams.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Additionally, the application of ChatGPT is rapidly expanding across various domains Mijwil et al. (2023), Aljanabi, Ghazi, Ali, Abed et al. (2023), indicating a growing trend that is expected to continue in the foreseeable future.”
What the sources say
- Not checked yetcites Mijwil et al. (2023)
- Not checked yetcites Aljanabi, Ghazi, Ali, Abed et al. (2023)
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both issues can lead to the creation of counterfactual or meaningless responses, which can seriously threaten the reliability of the generated content.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“68% of the generated abstracts were correctly identified as such, and 14% of the real abstracts were mistakenly identified as generated by ChatGPT.”
What the sources say
- Not checked yetcites Gao, Tong, Wu, Chen, Zhu & Wang (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The category of usage-related issues includes unethical usage of the tool, copyright-infringed content, and overreliance on ChatGPT.”
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“The latter process, which is fake text identification, falls within a well-established domain, with many state-of-the-art algorithms and techniques available to tag fake text with significant accuracy Zhou & Zafarani (2020).”
What the sources say
- Not checked yetcites Zhou & Zafarani (2020) source
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“The evaluation results indicated that ChatGPT excelled in tasks that required reasoning skills, including arithmetic reasoning while facing challenges in tasks such as sequence tagging.”
What the sources say
- Not checked yetcites Qin et al. (2023)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT helps identify in- stances of linguistic ambi- guity in text or speech.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“ChatGPT can help assess the risk level of individuals experiencing mental health crises by analyzing conversations.”
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“ChatGPT performs well in structured tasks such as translating code and explaining wellknown concepts but struggles with nuanced tasks such as explaining less familiar terms and creating code from scratch.”
What the sources say
- Not checked yetcites Megahed et al. (2023)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Given the similarities among various NLP tasks, the findings from the aforementioned studies can be extrapolated to other related areas, including the assessment of news article accuracy, especially in the detection of fake news.”
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The results demonstrated that GPT models could generate translation outputs that were highly competitive for languages with abundant resources. However, for low-resource languages, the current state of GPT models exhibited limitations, indicating the need for further improvements.”
What the sources say
- Not checked yetcites Hendy et al. (2023)
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Lastly, there is a fear of overreliance on the tool, which may make humans lazy and apathetic and make them always rely on the generated information Sallam et al. (2023).”
What the sources say
- Not checked yetcites Sallam et al. (2023) source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Major publishers like Elsevier, who publish the Lancet family of journals, have already stated that AI cannot be listed as an author and that its use must be properly acknowledged Sallam et al. (2023).”
What the sources say
- Not checked yetcites Sallam et al. (2023) source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our view is that ChatGPT's availability, ease of use, and multi-language capabilities could significantly boost scholarly output, thereby democratizing knowledge dissemination.”
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The quality of the data is also crucial, and it is important to ensure that the data used for training is accurate, relevant, and diverse enough to represent the full range of language and speech patterns.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
In the paper
“By comparing their model with an approach based on perplexity scores, they found that differentiating between human-generated and ChatGPT-generated reviews is more challenging for the machine-learning model when using rephrased text.”
What the sources say
- Not checked yetcites Mitrovic et al. (2023)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As a result, adding feelings to AI language models runs the risk of unintended consequences and risks like bias and discrimination, manipulation, privacy evasion, and inappropriate or offensive responses.”
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, other factors such as the model architecture, training methods, and hyperparameters can also impact the model's performance.”
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“However, the former step, which focuses on specifically identifying texts generated by ChatGPT, is relatively new, and researchers are actively working to address this issue Dugan et al. (2022), Mitchell et al. (2023), Curtis (2023), Mitrovic et al. (2023).”
What the sources say
- Not checked yetcites Dugan et al. (2022)
- Not checked yetcites Mitchell et al. (2023)
- Not checked yetcites Curtis (2023)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Incorporating human feedback is an effective way to improve the performance of ChatGPT.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Arguably, effective conversational AI systems like ChatGPT require a combination of various techniques and considerations to deliver a satisfying and human-like conversational experience, for example, considering factors such as context understanding, coherence, and response relevance.”
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“In the case of ChatGPT, fine-tuning allows the model to learn and understand the nuances of natural language conversations, enabling it to generate more human-like responses.”
What the sources say
- Not checked yetcites Bakker et al. (2022)
- Not checked yetcites Himeur et al. (2022 b )
- Not checked yetcites Dwivedi et al. (2023) source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, it is also important to note that simply increasing the volume and variety of data alone may not always result in improved performance.”
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Improving Conversational Capabilities, Personalization, Multimodal design, and Trustworthiness are some of the key areas that hold significant promise for the future of ChatGPT.”
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
The paper relies on this without support.
The Scopus database and the search queries used capture the relevant literature on ChatGPT.
“After running search queries, inclusion (IC) and exclusion (EC) criteria were created to filter out the retrieved articles from the Scopus database.”
The paper relies on this without support.
The rapid dissemination of ChatGPT research resulted in a diverse research landscape due to its wide publicity and acceptance at different levels in daily life.
“The rapid dissemination of ChatGPT research resulted in a diverse research landscape due to its wide publicity and acceptance at different levels in our daily lives.”
The paper relies on this without support.
The 109 articles included from Scopus are representative of the broader literature on ChatGPT.
“After applying the specified criteria, a total of 109 articles were included in the analysis.”
The paper relies on this without support.
ChatGPT has the capability to automatically generate responses by drawing information from numerous internet sources, often without requiring further input from the user.
“ChatGPT has the capability to automatically generate responses by drawing information from numerous internet sources, often without requiring further input from the user.”
The paper relies on this without support.
ChatGPT is unaware of copyright materials.
“Since ChatGPT is unaware of copyright materials, verifying the generated content before using/publishing and tagging by humans in case of copyright violation might help to resolve this issue.”
The paper relies on this without support.
Continuous training and updating of ChatGPT requires ongoing resources and infrastructure.
“Additionally, it is important to note that continuous training and updating of ChatGPT requires ongoing resources and infrastructure to support it.”
The paper relies on this without support.
Speech recognition technology enables ChatGPT to comprehend and recognize spoken words.
“By processing aural input and translating it into text that software or other devices may use, speech recognition technology enables ChatGPT to comprehend and recognize spoken words.”
The paper relies on this without support.
Video content analysis allows a multimodal ChatGPT to analyze and process video footage, detect objects, and track motions.
“By incorporating video content analysis, a multimodal ChatGPT can analyze and process video footage, detect objects, and track motions within the video.”
The paper relies on this without support.
Image captioning can be used to add descriptive or explanatory text to images.
“Similarly, image captioning can be used to add descriptive or explanatory text to images, which can help to make them more accessible and informative for viewers.”
The paper relies on this without support.
Audio captioning can help make audio content more accessible.
“It would be beneficial for persons who are deaf or hard of hearing, as well as nonnative speakers, to add text subtitles to audio information or audio captioning because it can help make audio content more accessible.”
The paper relies on this without support.
Video captioning can provide closed captions or subtitles during conversations.
“Video captioning can be added to ChatGPT to provide closed captions or subtitles during conversations, making the video content more accessible.”
The paper relies on this without support.
Video indexing allows users to search for specific content within a video using keywords or timestamps.
“Additionally, video indexing allows users to search for specific content within a video using keywords or timestamps, making it easier to find relevant information quickly.”
The paper relies on this without support.
ChatGPT is designed to generate responses based on the input it receives.
“As an AI language model, ChatGPT is designed to generate responses based on the input it receives.”
The paper relies on this without support.
ChatGPT does not have the ability to actively disclose information about itself or the data it uses to generate responses.
“While it can provide information and insights, it does not have the ability to actively disclose information about itself or the data it uses to generate responses.”
The paper relies on this without support.
ChatGPT may not always provide the most nuanced or complete answer to a question, and it may occasionally make mistakes or provide incorrect information.
“As such, it may not always provide the most nuanced or complete answer to a question, and it may occasionally make mistakes or provide incorrect information.”
The paper relies on this without support.
Transparent AI systems are simpler to comprehend and analyze, they encourage trust and make it more likely that the system will make ethical and legal choices.
“Because transparent AI systems are simpler to comprehend and analyze, they encourage trust and make it more likely that the system will make ethical and legal choices.”
The paper relies on this without support.
Humans can comprehend and validate an explainable AI's decision-making process, which is crucial for building confidence in AI systems.
“As a result, humans can comprehend and validate the system's decision-making process, which is crucial for building confidence in AI systems.”
The paper relies on this without support.
Human-Centered Design principles are usually applied in the research and development process of AI language models.
“In the case of developing AI language models, including ChatGPT, Human-Centered Design principles are usually applied in the research and development process, such as conducting user research to understand the needs and behaviors of people who use language models, testing different design prototypes, and iterating on the design based on user feedback.”
The paper relies on this without support.
ChatGPT can provide information and insights.
“While it can provide information and insights, it does not have the ability to actively disclose information about itself or the data it uses to generate responses.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The majority of existing work consists of conceptual and opinion-based discussions (e.g., Farrelly & Baker, 2023;Hsu & Ching., 2023;Sohail et al., 2023;Yu, 2023), along with quantitative surveys aimed at specific groups (e.g., Hammour et al., 2023;Tangadulrat et al., 2023).”
From Widen the debate: What is the academic community’s perception on ChatGPT? (2024) · cites this paper as Sohail et al., 2023
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Section roadmap misnumbers the applications section
MinorThe organizational roadmap assigns the applications discussion to Section 4, but the applications section is headed Section V. The subsequent sections are likewise numbered one higher than the roadmap states.
“Section 4 discusses the applications of ChatGPT. Limitations of the tool and future enhancements are outlined in Section 5 and Section 6, respectively. Finally, concluding remarks are presented in Section 7.”
“## V. APPLICATIONS OF CHATGPT”
Citations
Cites
3 retracted
Items 201–207 of 207
Linguistic Intelligence for Intelligent Vehicles: ChatGPT and Future Logistics and Mobility
Wang, F. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3256799 · Cited by 11
Capitalism, Socialism and ChatGPTPreprint
McGee, R. W. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4369953 · Cited by 10
Using ChatGPT to Navigate Ambivalent and Contradictory Research Findings on Artificial IntelligencePreprint
Sohail, S. S., Madsen, D. Ø., Himeur, Y., et al. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4413913 · Cited by 10
Self-citationIntelligence artificielle et psychiatrie : questions de psychiatres à ChatGPT
Prada, P., Perroud, N. A., & Thorens, G. (2023) · JMIG · doi:10.53738/revmed.2023.19.818.532 · Cited by 6 · cited 1×
“The different assessments included those for bias (Wang, 2023b; Wang et al., 2023), for study (Cooper, 2023), for mental health (Prada et al., 2023), for public health (Jungwirth and Haluza, 2023a; Biswas, 2023e), etc.”
Zhang, J., Pu, J., Xue, J., Yang, M. Z., Xu, X., Wang, X., & Wang, F. (2024) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3502094 · Cited by 2
Biswas, S. S. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4403586 · Cited by 1 · cited 7×
“(Fijacko et al., 2023; Moons and Van Bulck, 2023; Harskamp and De Clercq, 2023; Skalidis et al., 2023; Nakaya et al., 2023; Harskamp and De Clercq, 2023; Haver et al., 2023; Van Bulck and Moons, 2023; Fijacˇko et al., 2023; Biswas, 2023c; Ahn, 2023; Williams and Shambrook, 2023)”
InfluentialWhat Are the Top 20 Questions in Economic Philosophy? A ChatGPT Reply
Mcgee, R. W. (2023) · doi:10.13140/rg.2.2.14171.23845 · Cited by 1
Flagged first, then by citations
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Cited by
Sorted by citations
ChatGPT awareness, acceptance, and adoption in higher education: The role of trust as a cornerstone
Shahzad, M. F., Xu, S., & Javed, I. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00478-x · Cited by 274
“Understanding these aspects can influence students’ trust in the technology and willingness to incorporate it into their learning processes (Sohail et al., 2023).”
BackgroundShahzad, M. F., Xu, S., & Zahid, H. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-12949-9 · Cited by 204
“Many research - ers have investigated the importance of trust in online transactions and purchasing behaviour to accomplish desired outcomes (Pham et al., 2024 ; Sohail et al., 2023 ).”
Xu, H., Omitaomu, O. A., Sabri, S., Sisi Zlatanova, B., Li, X., & Song, Y. (2024) · Urban Informatics · doi:10.1007/s44212-024-00060-w · Cited by 246
“…especially the OpenAI’s ChatGPT and Google’s BERT, primarily due to their versatility and efficiency in understanding and contextualizing text for data and knowledge discovery, as well as their intelligent capability for generating codes in multiple programming languages (Sohail et al. 2023).”
Implementing generative AI (GenAI) in higher education: A systematic review of case studies
Belkina, M., Daniel, S., Nikolic, S., Haque, R., Lyden, S., Neal, P., Grundy, S., & Hassan, G. M. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100407 · Cited by 183
Peláez‐Sánchez, I. C., Velarde-Camaqui, D., & Glasserman‐Morales, L. D. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1392091 · Cited by 218
“This comprehensive approach should reflect a synthesis of emerging technology and pedagogy to inform best practices and policies in higher education with AI (Sohail et al., 2023) (see Figure 15).”
Background
Metadata
- Authors
- Sohail, S. S., Farhat, F., Himeur, Y., Nadeem, M., Madsen, D. Ø., Singh, Y., Atalla, S., & Mansoor, W.
- Affiliations
- Jamia Hamdard (IN)
- Aligarh Muslim University (IN)
- University of Dubai (AE)
- University of South-Eastern Norway (NO)
- Mayo Clinic (US)
- Corresponding author
- Sohail, Shahab Saquib
- Farhat, Faiza
- Himeur, Yassine
- Nadeem, Mohammad
- Madsen, Dag Øivind
- Singh, Yashbir
- Atalla, Shadi
- Mansoor, Wathiq
- ORCID
- Venue
- Journal of King Saud University - Computer and Information Sciences
- Published
- 2023-09
- Volume
- 35
- Issue
- 8
- Pages
- 101675
- ISSN
- 1319-1578 (ISSN-L)
- OpenAlex
- W4385494594
- Semantic Scholar
- 4f4058c6c0333a5bab7eba59a4b28bd7a8b51620
- Cited by
- 192
- References
- 201
- Citations by year
- 2026: 31 · 2025: 58 · 2024: 84 · 2023: 19
- FWCI
- 18.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of King Saud University - Computer and Information Sciences (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- ChatGPT, large language models, research taxonomy, algorithmic bias, trustworthiness, conversational AI, health care, financial services, software engineering, academic writing, natural language processing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Statistics and arithmetic are recomputed, not judged.
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