ethics and accountability essay

Our Values: On Accountability

By Holton Lemaster

By: Kim Strom, Director of UNC-Chapel Hill Office of Ethics and Policy

In 2021 leaders in Institutional Integrity and Risk Management initiated a project to identify and promote shared principles. Campus consensus emerged around four principles : integrity, community, transparency, and accountability. To foster reflection and continue the campus conversation, I will be using the newsletter to take a deeper look at each principle in turn. This month’s focus is accountability.

Accountability is often seen as an individual obligation. The synonyms for accountability include terms like answerability, responsibility, liability, and culpability. It typically has punitive implications. When scandals or crimes take place there will often be an outcry to hold someone accountable. People who apologize or admit a wrong are demonstrating personal accountability. Accountability is often reactive and negative, with overtones of control, fear, blame, and retribution. Thought of in that way it is hardly an inspiring and unifying ideal for any organization of community.

Consider another perspective on accountability as “the willingness to care for the well-being of the whole” (Block, 2018, p. 75). Block pairs accountability with commitment, creating a shared outward focus and mutual accountability. In this vision, accountability can empower, motivate, and unify. Accountability is transformed from a term of individual censure and burden to one of communal possibility.

What would it mean if accountability was one of the agreements all members of the Carolina community make when they come to live, work, or study here?
How would it change the ways that people interact with each other?
How would it change the way people see their opportunities, roles, and responsibilities?
How would it fit with community, transparency, and integrity?

Kim Strom is the Director of UNC-Chapel Hill Office of Ethics and Policy

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Accounting, Auditing & Accountability Journal

ISSN : 0951-3574

Article publication date: 5 May 2022

Issue publication date: 10 January 2023

This paper explores why and how, and in what context, individuals' accounting of self, ethics and morality and self-knowledge of the limits of accountability can frame their account giving and judging in an organisational formal performance evaluation process.

Design/methodology/approach

Building upon the Butlerian notions of accountability as advanced by Messner (2009) and Roberts (2009), the authors conducted a qualitative field study at a Vietnamese public university, involving face-to-face interviews, observation of performance evaluation meetings and examination of archival documents.

The authors found that individuals experience conflicting ethical and moral values when they rely on their self-knowledge of accountability (the ability to self-account) in their account giving and judging in the university's formal academic performance evaluation process. In addition, the authors found that when individuals want to provide the best account to the account demander, their understanding of their ability to self-account and the formal organisational accountability process influence their views on what authentic account giving means. As a result, enhanced ethics-to-others has the potential to be an ethical burden and may not lead to authentic or beyond minimum accounting of “self”. Yet, in the Vietnamese socio-cultural and political context within which the university operates, and in the situation of ethical and moral conflicts in self-accountability, the authors found evidence of individuals' self-accountability behaviours that is based on the co-existence of a sense of responsibility to others and self-knowledge of the limits of accountability.

Research limitations/implications

Although this study was limited to one Vietnamese public university, its findings enhance the knowledge about how individual ethical and moral values, self-knowledge of the limits of accountability and the formal organisational accountability process connect with each other in the socio-cultural and political context within which an organisation operates.

Practical implications

The study highlights the role of the context of local socio-cultural norms and values and of physical social interaction in developing the sense of connection to others, which influences the way individuals' ethical and moral values are mobilised to shape account-giving and judging behaviours.

Social implications

The emphasis on the role of the sense of connection to others on personal accountability and the emphasis on physical, face-to-face interaction in developing sense of connection to others leads to an interesting issue regarding the sense of connection in the virtual social interaction setting, which has become increasingly popular globally, especially during and after the COVID-19 pandemic, and its implication for the use of personal ethical and moral values in organisational accountability practices.

Originality/value

Adding to the conversation on how a formal organisational accountability process can be effective, this study identified (1) the unpredictable outcomes of using ethics as rules for accountability practices due to potentially conflicting ethical values; (2) the diverse understandings of self-accounting, leading to different ideas of authentic accounting; and (3) the possibility of moral accountability behaviours based on the co-existence of a sense of connection to others and an understanding of the limits of accountability.

Accountability
Personal accountability
Performance evaluation

Acknowledgements

The authors wish to thank the two outstanding anonymous reviewers for their insightful suggestions. Special thanks to Professor Lee Parker (the joint editor) for the valuable guidance during revisions of the manuscript.

Mai, K.T. and Hoque, Z. (2023), "Self, ethics, morality and accountability: a case of a public university", Accounting, Auditing & Accountability Journal , Vol. 36 No. 1, pp. 323-347. https://doi.org/10.1108/AAAJ-04-2020-4504

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Ethics and Accountability in Philippine Public Administration

The paper describes and explains the existing executive and legal instruments in promoting good governance within Philippine public administration.

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Essay on The Importance of Accountability

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Accountability in the workplace, accountability in relationships, accountability in personal growth, implications and further exploration.

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Public Service Ethics and Accountability

Living reference work entry
First Online: 13 August 2020
Cite this living reference work entry

Ikechukwu Ogeze Ukeje 2 ,
Johnpaul Chukwujindu Onele 3 ,
Benedette Nneka Okezie 4 ,
Raphael Abumchukwu Ekwunife 5 ,
Chisom Esther Ogbonnaya 6 &
Sunday Odo Nwangbo 2

124 Accesses

6 Citations

Bureaucratic responsiveness ; Ethical compliance ; Ethical environment ; Institutional reforms ; Institutionalizing ethics in public administration ; Public service ; Social accountability

Definitions

entails the provision of essential public services via implementation of government programs and policies through the principles of professionalism, ethics, accountability, transparency, and responsibility.

is a form of self-accountability, an “inner check” on the conduct, behavior, or action of public administrators and other officials of public service (Farazmand 2002 , p. 138).

therefore means that the administration has to be accountable for the exercise of authority which it possesses (Sharma et al. 2012 , p. 954).

Introduction

In recent times, the issue of ethics and accountability has been of great interest to scholars, human resources (HRs) practitioners, and the governments especially in this era of globalization and sustainability....

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Ikechukwu Ogeze Ukeje & Sunday Odo Nwangbo

Department of Political Science, Ebonyi State University, Abakaliki, Nigeria

Johnpaul Chukwujindu Onele

Department of Accountancy/Banking & Finance, Alex Ekwueme Federal University, Ndufu-Alike, Nigeria

Benedette Nneka Okezie

Department of Mass Communication, Evangel University, Akaeze, Nigeria

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Ukeje, I.O., Onele, J.C., Okezie, B.N., Ekwunife, R.A., Ogbonnaya, C.E., Nwangbo, S.O. (2020). Public Service Ethics and Accountability. In: Farazmand, A. (eds) Global Encyclopedia of Public Administration, Public Policy, and Governance. Springer, Cham. https://doi.org/10.1007/978-3-319-31816-5_4173-1

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Essay on Accountability

Essay generator.

In a world brimming with complexities and challenges, accountability stands as a fundamental principle guiding individual actions and societal progress. This essay delves into the essence of accountability, its significance in various spheres of life, and its pivotal role in fostering a responsible and progressive society.

Accountability

Accountability refers to the obligation of an individual or organization to account for its activities, accept responsibility for them, and disclose the results in a transparent manner. It involves being answerable to someone for something you have done or, sometimes more importantly, have failed to do.

The Dimensions of Accountability

Personal Accountability : This involves taking responsibility for one’s actions, decisions, and their consequences. It’s about owning up to mistakes and learning from them.
Professional Accountability : In the workplace, it entails fulfilling one’s duties to the best of one’s ability and being answerable for the outcomes.
Social Accountability : This extends to how actions and decisions impact society and the environment, emphasizing the need for ethical and sustainable practices.

The Importance of Accountability

Trust Building : Accountability fosters trust in relationships, whether personal, professional, or societal. When individuals and institutions are accountable, they earn the trust of those they interact with or serve.
Promotes Ethical Behavior : It encourages individuals and organizations to act ethically and responsibly.
Enhances Performance : In a professional context, accountability leads to better performance, as individuals understand their roles and the expectations associated with them.
Facilitates Learning and Improvement : Recognizing and owning up to mistakes is a learning process that fosters personal and professional growth.
Strengthens Democracy : In governance, accountability is crucial for a healthy, functioning democracy. It ensures that public officials and entities are serving the interests of their constituents.

The Benefits of Accountability

Builds Trust : When people are accountable, they build trust with colleagues, friends, and family, which is foundational for healthy relationships and effective teamwork.
Improves Performance : Accountability drives individuals to perform better. Knowing that one’s actions are observed and evaluated encourages a higher standard of work.
Promotes Responsibility : It instills a sense of responsibility, ensuring that tasks are completed efficiently and effectively.
Enhances Decision-Making : Being accountable means considering the broader impact of one’s decisions, leading to more thoughtful and responsible choices.
Fosters Learning and Growth : By owning up to mistakes and learning from them, individuals and organizations grow and improve.

Accountability in Different Spheres of Life

In education.

Students : They are accountable for their learning – attending classes, completing assignments, and actively engaging in the educational process.
Educators : Teachers and administrators are accountable for providing quality education and fostering an environment conducive to learning.

In the Workplace

Employees : They are responsible for fulfilling their job responsibilities and contributing to organizational goals.
Employers : They must create a safe, equitable workplace and ensure the well-being of their employees.

In Governance

Government Officials : They are accountable to the public, ensuring transparent, efficient, and ethical governance.
Citizens : As part of a democratic society, citizens are accountable for participating in the democratic process, including voting and civic engagement.

The Challenge of Upholding Accountability

Upholding accountability is not without challenges. These include a lack of transparency, inadequate systems for monitoring and evaluation, cultural barriers, and sometimes, a lack of will or understanding of its importance.

Steps to Foster Accountability

Clear Expectations : Whether it’s in a personal, professional, or public domain, setting clear expectations is the first step towards accountability.
Transparent Communication : Open and honest communication encourages a culture of accountability.
Effective Systems for Monitoring and Evaluation : Regularly assessing and reviewing actions and decisions help in maintaining accountability.
Education and Training : Teaching the importance of accountability from an early age fosters a culture where it is valued and practiced.
Reward and Recognition : Acknowledging and rewarding accountable behavior reinforces its importance.

Personal Accountability: The Foundation

Accountability starts with the individual. It’s about taking responsibility for one’s actions and their impact on others. It involves honesty, integrity, and sometimes, the courage to stand up and admit to mistakes.

The Role of Accountability in Leadership

In leadership, accountability is crucial for gaining the respect and trust of team members. It involves:

Setting Clear Expectations : Leaders must clearly articulate goals and standards.
Leading by Example : Demonstrating accountability in their actions sets a tone for the team.
Providing Feedback and Support : Regular feedback helps team members understand how they can improve and grow.

In conclusion, Accountability is the linchpin of a well-functioning society. It builds trust, fosters ethical behavior, drives performance, and underpins democratic institutions. As the world grapples with various challenges, the need for accountability across all sectors and at all levels – personal, professional, and political – has never been more critical. For students participating in essay competitions, exploring the concept of accountability offers an opportunity to reflect on its fundamental role in shaping a just, responsible, and progressive society.

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Generate an essay on the importance of extracurricular activities for student development

Write an essay discussing the role of technology in modern education.

Corpus ID: 19128464

Ethics and Accountability: the Philippine Experience

Philosophy, Political Science

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Best topics on Accountability

1. Community Responsibility: Culture of Care and Accountability

2. Importance Of Mission Command: Accountability, Intent

3. The Importance Of Accountability In The Army

4. Accountability – Responsibility, Culpability, Pending Billing Ethics and Governance

5. The Accountability Of Personnel That Cost Lives

6. The Concept of Accountability in Many Areas of Activity and in General

7. Accountability and Responsibility Which are Key Concepts in Healthcare

8. Analyzing Responsibility in Business Management

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Ethics & Accountability

Preventing undue influence, corruption, and the appearance of corruption by elected officials, lobbyists, and members of the executive branch.

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Too often, though, there is lax or no enforcement of ethics and lobbying laws in Congress and the executive branch.

Many Americans feel members of Congress, government officials, and lobbyists are above the law, using their positions of power for personal or financial gain. Such corruption — or even the appearance of corruption — has a corrosive effect on our democracy, undermining public confidence in the integrity of our most sacred institutions.

To win public trust in our government, it’s imperative we build — and enforce — stronger ethics, accountability, and transparency laws for Congress, the executive branch, and for lobbyists.

Work to combat attempts to undermine existing accountability mechanisms such as the Office of Congressional Ethics in the House or the Inspector General system, improve their functioning and strengthen their independence.
Work to establish new and empowered accountability systems, proposing an independent Office of Senate Ethics.
Push for executive orders to strengthen federal executive branch ethics rules and call out officials that abuse their role .
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Our impact:

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Gave a detailed accounting of how the House and Senate ethics committees fail to foster a culture of high ethical standards in Congress
Fought attempts in the 115th and 118th Congress to covertly gut the independent Office of Congressional Ethics in the House of Representatives

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GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation

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Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research. Our analysis of a selection of questionable GPT-fabricated scientific papers found in Google Scholar shows that many are about applied, often controversial topics susceptible to disinformation: the environment, health, and computing. The resulting enhanced potential for malicious manipulation of society’s evidence base, particularly in politically divisive domains, is a growing concern.

Swedish School of Library and Information Science, University of Borås, Sweden

Department of Arts and Cultural Sciences, Lund University, Sweden

Division of Environmental Communication, Swedish University of Agricultural Sciences, Sweden

Research Questions

Where are questionable publications produced with generative pre-trained transformers (GPTs) that can be found via Google Scholar published or deposited?
What are the main characteristics of these publications in relation to predominant subject categories?
How are these publications spread in the research infrastructure for scholarly communication?
How is the role of the scholarly communication infrastructure challenged in maintaining public trust in science and evidence through inappropriate use of generative AI?

research note Summary

A sample of scientific papers with signs of GPT-use found on Google Scholar was retrieved, downloaded, and analyzed using a combination of qualitative coding and descriptive statistics. All papers contained at least one of two common phrases returned by conversational agents that use large language models (LLM) like OpenAI’s ChatGPT. Google Search was then used to determine the extent to which copies of questionable, GPT-fabricated papers were available in various repositories, archives, citation databases, and social media platforms.
Roughly two-thirds of the retrieved papers were found to have been produced, at least in part, through undisclosed, potentially deceptive use of GPT. The majority (57%) of these questionable papers dealt with policy-relevant subjects (i.e., environment, health, computing), susceptible to influence operations. Most were available in several copies on different domains (e.g., social media, archives, and repositories).
Two main risks arise from the increasingly common use of GPT to (mass-)produce fake, scientific publications. First, the abundance of fabricated “studies” seeping into all areas of the research infrastructure threatens to overwhelm the scholarly communication system and jeopardize the integrity of the scientific record. A second risk lies in the increased possibility that convincingly scientific-looking content was in fact deceitfully created with AI tools and is also optimized to be retrieved by publicly available academic search engines, particularly Google Scholar. However small, this possibility and awareness of it risks undermining the basis for trust in scientific knowledge and poses serious societal risks.

Implications

The use of ChatGPT to generate text for academic papers has raised concerns about research integrity. Discussion of this phenomenon is ongoing in editorials, commentaries, opinion pieces, and on social media (Bom, 2023; Stokel-Walker, 2024; Thorp, 2023). There are now several lists of papers suspected of GPT misuse, and new papers are constantly being added. 1 See for example Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . While many legitimate uses of GPT for research and academic writing exist (Huang & Tan, 2023; Kitamura, 2023; Lund et al., 2023), its undeclared use—beyond proofreading—has potentially far-reaching implications for both science and society, but especially for their relationship. It, therefore, seems important to extend the discussion to one of the most accessible and well-known intermediaries between science, but also certain types of misinformation, and the public, namely Google Scholar, also in response to the legitimate concerns that the discussion of generative AI and misinformation needs to be more nuanced and empirically substantiated (Simon et al., 2023).

Google Scholar, https://scholar.google.com , is an easy-to-use academic search engine. It is available for free, and its index is extensive (Gusenbauer & Haddaway, 2020). It is also often touted as a credible source for academic literature and even recommended in library guides, by media and information literacy initiatives, and fact checkers (Tripodi et al., 2023). However, Google Scholar lacks the transparency and adherence to standards that usually characterize citation databases. Instead, Google Scholar uses automated crawlers, like Google’s web search engine (Martín-Martín et al., 2021), and the inclusion criteria are based on primarily technical standards, allowing any individual author—with or without scientific affiliation—to upload papers to be indexed (Google Scholar Help, n.d.). It has been shown that Google Scholar is susceptible to manipulation through citation exploits (Antkare, 2020) and by providing access to fake scientific papers (Dadkhah et al., 2017). A large part of Google Scholar’s index consists of publications from established scientific journals or other forms of quality-controlled, scholarly literature. However, the index also contains a large amount of gray literature, including student papers, working papers, reports, preprint servers, and academic networking sites, as well as material from so-called “questionable” academic journals, including paper mills. The search interface does not offer the possibility to filter the results meaningfully by material type, publication status, or form of quality control, such as limiting the search to peer-reviewed material.

To understand the occurrence of ChatGPT (co-)authored work in Google Scholar’s index, we scraped it for publications, including one of two common ChatGPT responses (see Appendix A) that we encountered on social media and in media reports (DeGeurin, 2024). The results of our descriptive statistical analyses showed that around 62% did not declare the use of GPTs. Most of these GPT-fabricated papers were found in non-indexed journals and working papers, but some cases included research published in mainstream scientific journals and conference proceedings. 2 Indexed journals mean scholarly journals indexed by abstract and citation databases such as Scopus and Web of Science, where the indexation implies journals with high scientific quality. Non-indexed journals are journals that fall outside of this indexation. More than half (57%) of these GPT-fabricated papers concerned policy-relevant subject areas susceptible to influence operations. To avoid increasing the visibility of these publications, we abstained from referencing them in this research note. However, we have made the data available in the Harvard Dataverse repository.

The publications were related to three issue areas—health (14.5%), environment (19.5%) and computing (23%)—with key terms such “healthcare,” “COVID-19,” or “infection”for health-related papers, and “analysis,” “sustainable,” and “global” for environment-related papers. In several cases, the papers had titles that strung together general keywords and buzzwords, thus alluding to very broad and current research. These terms included “biology,” “telehealth,” “climate policy,” “diversity,” and “disrupting,” to name just a few. While the study’s scope and design did not include a detailed analysis of which parts of the articles included fabricated text, our dataset did contain the surrounding sentences for each occurrence of the suspicious phrases that formed the basis for our search and subsequent selection. Based on that, we can say that the phrases occurred in most sections typically found in scientific publications, including the literature review, methods, conceptual and theoretical frameworks, background, motivation or societal relevance, and even discussion. This was confirmed during the joint coding, where we read and discussed all articles. It became clear that not just the text related to the telltale phrases was created by GPT, but that almost all articles in our sample of questionable articles likely contained traces of GPT-fabricated text everywhere.

Evidence hacking and backfiring effects

Generative pre-trained transformers (GPTs) can be used to produce texts that mimic scientific writing. These texts, when made available online—as we demonstrate—leak into the databases of academic search engines and other parts of the research infrastructure for scholarly communication. This development exacerbates problems that were already present with less sophisticated text generators (Antkare, 2020; Cabanac & Labbé, 2021). Yet, the public release of ChatGPT in 2022, together with the way Google Scholar works, has increased the likelihood of lay people (e.g., media, politicians, patients, students) coming across questionable (or even entirely GPT-fabricated) papers and other problematic research findings. Previous research has emphasized that the ability to determine the value and status of scientific publications for lay people is at stake when misleading articles are passed off as reputable (Haider & Åström, 2017) and that systematic literature reviews risk being compromised (Dadkhah et al., 2017). It has also been highlighted that Google Scholar, in particular, can be and has been exploited for manipulating the evidence base for politically charged issues and to fuel conspiracy narratives (Tripodi et al., 2023). Both concerns are likely to be magnified in the future, increasing the risk of what we suggest calling evidence hacking —the strategic and coordinated malicious manipulation of society’s evidence base.

The authority of quality-controlled research as evidence to support legislation, policy, politics, and other forms of decision-making is undermined by the presence of undeclared GPT-fabricated content in publications professing to be scientific. Due to the large number of archives, repositories, mirror sites, and shadow libraries to which they spread, there is a clear risk that GPT-fabricated, questionable papers will reach audiences even after a possible retraction. There are considerable technical difficulties involved in identifying and tracing computer-fabricated papers (Cabanac & Labbé, 2021; Dadkhah et al., 2023; Jones, 2024), not to mention preventing and curbing their spread and uptake.

However, as the rise of the so-called anti-vaxx movement during the COVID-19 pandemic and the ongoing obstruction and denial of climate change show, retracting erroneous publications often fuels conspiracies and increases the following of these movements rather than stopping them. To illustrate this mechanism, climate deniers frequently question established scientific consensus by pointing to other, supposedly scientific, studies that support their claims. Usually, these are poorly executed, not peer-reviewed, based on obsolete data, or even fraudulent (Dunlap & Brulle, 2020). A similar strategy is successful in the alternative epistemic world of the global anti-vaccination movement (Carrion, 2018) and the persistence of flawed and questionable publications in the scientific record already poses significant problems for health research, policy, and lawmakers, and thus for society as a whole (Littell et al., 2024). Considering that a person’s support for “doing your own research” is associated with increased mistrust in scientific institutions (Chinn & Hasell, 2023), it will be of utmost importance to anticipate and consider such backfiring effects already when designing a technical solution, when suggesting industry or legal regulation, and in the planning of educational measures.

Recommendations

Solutions should be based on simultaneous considerations of technical, educational, and regulatory approaches, as well as incentives, including social ones, across the entire research infrastructure. Paying attention to how these approaches and incentives relate to each other can help identify points and mechanisms for disruption. Recognizing fraudulent academic papers must happen alongside understanding how they reach their audiences and what reasons there might be for some of these papers successfully “sticking around.” A possible way to mitigate some of the risks associated with GPT-fabricated scholarly texts finding their way into academic search engine results would be to provide filtering options for facets such as indexed journals, gray literature, peer-review, and similar on the interface of publicly available academic search engines. Furthermore, evaluation tools for indexed journals 3 Such as LiU Journal CheckUp, https://ep.liu.se/JournalCheckup/default.aspx?lang=eng . could be integrated into the graphical user interfaces and the crawlers of these academic search engines. To enable accountability, it is important that the index (database) of such a search engine is populated according to criteria that are transparent, open to scrutiny, and appropriate to the workings of science and other forms of academic research. Moreover, considering that Google Scholar has no real competitor, there is a strong case for establishing a freely accessible, non-specialized academic search engine that is not run for commercial reasons but for reasons of public interest. Such measures, together with educational initiatives aimed particularly at policymakers, science communicators, journalists, and other media workers, will be crucial to reducing the possibilities for and effects of malicious manipulation or evidence hacking. It is important not to present this as a technical problem that exists only because of AI text generators but to relate it to the wider concerns in which it is embedded. These range from a largely dysfunctional scholarly publishing system (Haider & Åström, 2017) and academia’s “publish or perish” paradigm to Google’s near-monopoly and ideological battles over the control of information and ultimately knowledge. Any intervention is likely to have systemic effects; these effects need to be considered and assessed in advance and, ideally, followed up on.

Our study focused on a selection of papers that were easily recognizable as fraudulent. We used this relatively small sample as a magnifying glass to examine, delineate, and understand a problem that goes beyond the scope of the sample itself, which however points towards larger concerns that require further investigation. The work of ongoing whistleblowing initiatives 4 Such as Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . , recent media reports of journal closures (Subbaraman, 2024), or GPT-related changes in word use and writing style (Cabanac et al., 2021; Stokel-Walker, 2024) suggest that we only see the tip of the iceberg. There are already more sophisticated cases (Dadkhah et al., 2023) as well as cases involving fabricated images (Gu et al., 2022). Our analysis shows that questionable and potentially manipulative GPT-fabricated papers permeate the research infrastructure and are likely to become a widespread phenomenon. Our findings underline that the risk of fake scientific papers being used to maliciously manipulate evidence (see Dadkhah et al., 2017) must be taken seriously. Manipulation may involve undeclared automatic summaries of texts, inclusion in literature reviews, explicit scientific claims, or the concealment of errors in studies so that they are difficult to detect in peer review. However, the mere possibility of these things happening is a significant risk in its own right that can be strategically exploited and will have ramifications for trust in and perception of science. Society’s methods of evaluating sources and the foundations of media and information literacy are under threat and public trust in science is at risk of further erosion, with far-reaching consequences for society in dealing with information disorders. To address this multifaceted problem, we first need to understand why it exists and proliferates.

Finding 1: 139 GPT-fabricated, questionable papers were found and listed as regular results on the Google Scholar results page. Non-indexed journals dominate.

Most questionable papers we found were in non-indexed journals or were working papers, but we did also find some in established journals, publications, conferences, and repositories. We found a total of 139 papers with a suspected deceptive use of ChatGPT or similar LLM applications (see Table 1). Out of these, 19 were in indexed journals, 89 were in non-indexed journals, 19 were student papers found in university databases, and 12 were working papers (mostly in preprint databases). Table 1 divides these papers into categories. Health and environment papers made up around 34% (47) of the sample. Of these, 66% were present in non-indexed journals.


Indexed journals*	5	3	4	7	19
Non-indexed journals	18	18	13	40	89
Student papers	4	3	1	11	19
Working papers	5	3	2	2	12
Total	32	27	20	60	139

Finding 2: GPT-fabricated, questionable papers are disseminated online, permeating the research infrastructure for scholarly communication, often in multiple copies. Applied topics with practical implications dominate.

The 20 papers concerning health-related issues are distributed across 20 unique domains, accounting for 46 URLs. The 27 papers dealing with environmental issues can be found across 26 unique domains, accounting for 56 URLs. Most of the identified papers exist in multiple copies and have already spread to several archives, repositories, and social media. It would be difficult, or impossible, to remove them from the scientific record.

As apparent from Table 2, GPT-fabricated, questionable papers are seeping into most parts of the online research infrastructure for scholarly communication. Platforms on which identified papers have appeared include ResearchGate, ORCiD, Journal of Population Therapeutics and Clinical Pharmacology (JPTCP), Easychair, Frontiers, the Institute of Electrical and Electronics Engineer (IEEE), and X/Twitter. Thus, even if they are retracted from their original source, it will prove very difficult to track, remove, or even just mark them up on other platforms. Moreover, unless regulated, Google Scholar will enable their continued and most likely unlabeled discoverability.


Environment	researchgate.net (13)	orcid.org (4)	easychair.org (3)	ijope.com* (3)	publikasiindonesia.id (3)
Health	researchgate.net (15)	ieee.org (4)	twitter.com (3)	jptcp.com** (2)	frontiersin.org (2)

A word rain visualization (Centre for Digital Humanities Uppsala, 2023), which combines word prominences through TF-IDF 5 Term frequency–inverse document frequency , a method for measuring the significance of a word in a document compared to its frequency across all documents in a collection. scores with semantic similarity of the full texts of our sample of GPT-generated articles that fall into the “Environment” and “Health” categories, reflects the two categories in question. However, as can be seen in Figure 1, it also reveals overlap and sub-areas. The y-axis shows word prominences through word positions and font sizes, while the x-axis indicates semantic similarity. In addition to a certain amount of overlap, this reveals sub-areas, which are best described as two distinct events within the word rain. The event on the left bundles terms related to the development and management of health and healthcare with “challenges,” “impact,” and “potential of artificial intelligence”emerging as semantically related terms. Terms related to research infrastructures, environmental, epistemic, and technological concepts are arranged further down in the same event (e.g., “system,” “climate,” “understanding,” “knowledge,” “learning,” “education,” “sustainable”). A second distinct event further to the right bundles terms associated with fish farming and aquatic medicinal plants, highlighting the presence of an aquaculture cluster. Here, the prominence of groups of terms such as “used,” “model,” “-based,” and “traditional” suggests the presence of applied research on these topics. The two events making up the word rain visualization, are linked by a less dominant but overlapping cluster of terms related to “energy” and “water.”

The bar chart of the terms in the paper subset (see Figure 2) complements the word rain visualization by depicting the most prominent terms in the full texts along the y-axis. Here, word prominences across health and environment papers are arranged descendingly, where values outside parentheses are TF-IDF values (relative frequencies) and values inside parentheses are raw term frequencies (absolute frequencies).

Finding 3: Google Scholar presents results from quality-controlled and non-controlled citation databases on the same interface, providing unfiltered access to GPT-fabricated questionable papers.

Google Scholar’s central position in the publicly accessible scholarly communication infrastructure, as well as its lack of standards, transparency, and accountability in terms of inclusion criteria, has potentially serious implications for public trust in science. This is likely to exacerbate the already-known potential to exploit Google Scholar for evidence hacking (Tripodi et al., 2023) and will have implications for any attempts to retract or remove fraudulent papers from their original publication venues. Any solution must consider the entirety of the research infrastructure for scholarly communication and the interplay of different actors, interests, and incentives.

We searched and scraped Google Scholar using the Python library Scholarly (Cholewiak et al., 2023) for papers that included specific phrases known to be common responses from ChatGPT and similar applications with the same underlying model (GPT3.5 or GPT4): “as of my last knowledge update” and/or “I don’t have access to real-time data” (see Appendix A). This facilitated the identification of papers that likely used generative AI to produce text, resulting in 227 retrieved papers. The papers’ bibliographic information was automatically added to a spreadsheet and downloaded into Zotero. 6 An open-source reference manager, https://zotero.org .

We employed multiple coding (Barbour, 2001) to classify the papers based on their content. First, we jointly assessed whether the paper was suspected of fraudulent use of ChatGPT (or similar) based on how the text was integrated into the papers and whether the paper was presented as original research output or the AI tool’s role was acknowledged. Second, in analyzing the content of the papers, we continued the multiple coding by classifying the fraudulent papers into four categories identified during an initial round of analysis—health, environment, computing, and others—and then determining which subjects were most affected by this issue (see Table 1). Out of the 227 retrieved papers, 88 papers were written with legitimate and/or declared use of GPTs (i.e., false positives, which were excluded from further analysis), and 139 papers were written with undeclared and/or fraudulent use (i.e., true positives, which were included in further analysis). The multiple coding was conducted jointly by all authors of the present article, who collaboratively coded and cross-checked each other’s interpretation of the data simultaneously in a shared spreadsheet file. This was done to single out coding discrepancies and settle coding disagreements, which in turn ensured methodological thoroughness and analytical consensus (see Barbour, 2001). Redoing the category coding later based on our established coding schedule, we achieved an intercoder reliability (Cohen’s kappa) of 0.806 after eradicating obvious differences.

The ranking algorithm of Google Scholar prioritizes highly cited and older publications (Martín-Martín et al., 2016). Therefore, the position of the articles on the search engine results pages was not particularly informative, considering the relatively small number of results in combination with the recency of the publications. Only the query “as of my last knowledge update” had more than two search engine result pages. On those, questionable articles with undeclared use of GPTs were evenly distributed across all result pages (min: 4, max: 9, mode: 8), with the proportion of undeclared use being slightly higher on average on later search result pages.

To understand how the papers making fraudulent use of generative AI were disseminated online, we programmatically searched for the paper titles (with exact string matching) in Google Search from our local IP address (see Appendix B) using the googlesearch – python library(Vikramaditya, 2020). We manually verified each search result to filter out false positives—results that were not related to the paper—and then compiled the most prominent URLs by field. This enabled the identification of other platforms through which the papers had been spread. We did not, however, investigate whether copies had spread into SciHub or other shadow libraries, or if they were referenced in Wikipedia.

We used descriptive statistics to count the prevalence of the number of GPT-fabricated papers across topics and venues and top domains by subject. The pandas software library for the Python programming language (The pandas development team, 2024) was used for this part of the analysis. Based on the multiple coding, paper occurrences were counted in relation to their categories, divided into indexed journals, non-indexed journals, student papers, and working papers. The schemes, subdomains, and subdirectories of the URL strings were filtered out while top-level domains and second-level domains were kept, which led to normalizing domain names. This, in turn, allowed the counting of domain frequencies in the environment and health categories. To distinguish word prominences and meanings in the environment and health-related GPT-fabricated questionable papers, a semantically-aware word cloud visualization was produced through the use of a word rain (Centre for Digital Humanities Uppsala, 2023) for full-text versions of the papers. Font size and y-axis positions indicate word prominences through TF-IDF scores for the environment and health papers (also visualized in a separate bar chart with raw term frequencies in parentheses), and words are positioned along the x-axis to reflect semantic similarity (Skeppstedt et al., 2024), with an English Word2vec skip gram model space (Fares et al., 2017). An English stop word list was used, along with a manually produced list including terms such as “https,” “volume,” or “years.”

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Cite this Essay

Haider, J., Söderström, K. R., Ekström, B., & Rödl, M. (2024). GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation. Harvard Kennedy School (HKS) Misinformation Review . https://doi.org/10.37016/mr-2020-156

/ Appendix B

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This research has been supported by Mistra, the Swedish Foundation for Strategic Environmental Research, through the research program Mistra Environmental Communication (Haider, Ekström, Rödl) and the Marcus and Amalia Wallenberg Foundation [2020.0004] (Söderström).

Competing Interests

The authors declare no competing interests.

The research described in this article was carried out under Swedish legislation. According to the relevant EU and Swedish legislation (2003:460) on the ethical review of research involving humans (“Ethical Review Act”), the research reported on here is not subject to authorization by the Swedish Ethical Review Authority (“etikprövningsmyndigheten”) (SRC, 2017).

This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author and source are properly credited.

Data Availability

All data needed to replicate this study are available at the Harvard Dataverse: https://doi.org/10.7910/DVN/WUVD8X

Acknowledgements

The authors wish to thank two anonymous reviewers for their valuable comments on the article manuscript as well as the editorial group of Harvard Kennedy School (HKS) Misinformation Review for their thoughtful feedback and input.

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